Skip to main content
Erschienen in: BMC Primary Care 1/2023

Open Access 01.12.2023 | Research

Anxiety management in Australian general practice: an analysis of encounters from 2006 – 2016

verfasst von: Erin L. Parker, Michelle Banfield, Daniel B. Fassnacht, Christine B. Phillips, Christopher Harrison

Erschienen in: BMC Primary Care | Ausgabe 1/2023

Abstract

Background

Anxiety disorders are highly prevalent mental health conditions managed predominantly by general practitioners (GPs). This study aimed to examine the management of anxiety by Australian GPs since the introduction of the Better Access to Psychiatrists, Psychologists and General Practitioners initiative in 2006.

Methods

We conducted secondary analysis of Bettering the Evaluation and Care of Health data on GP encounters for anxiety from 2006 to 2016 (N = 28,784). We calculated point estimates and used multivariate logistic regression to explore the effect of GP and patient characteristics on rates and types of management.

Results

The management rate of anxiety increased from 2.3% of GP encounters in 2006 to 3.2% in 2016. Over the 10-year period, increases were seen in referrals to psychologists (AOR = 1.09, 95%CI = 1.07–1.11, p < .0001) and selective serotonin / serotonin-noradrenalin reuptake inhibitors (AOR = 1.05, 95%CI = 1.03–1.06, p < .0001), and benzodiazepines decreased (AOR = 0.94, 95%CI = 0.92–0.95, p < .0001). Systematic differences in management were found for patient and GP characteristics, including high rates of benzodiazepines in certain groups.

Conclusions

Anxiety is accounting for more of the GP workload, year on year. GP management of anxiety has become more closely aligned with practice guidelines since 2006. However, high rates of benzodiazepine prescribing in certain groups remains a concern. Further research is needed into GP treatment decision making for anxiety.
Hinweise

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Abkürzungen
ASGS
Australian Statistical Geography Standard
ATC
Anatomical Therapeutic Chemical
BEACH
Bettering the Evaluation and Care of Health
CAE
Counselling, advice, or education
GP
General practitioner
HCC
Health care card
ICPC-2
International Classification of Primary Care Version 2
ISRAD
Index of Relative Socio-economic Advantage and Disadvantage
OR
Odds ratio
SEIFA
Socio-Economic Indexes for Areas
SNRI
Serotonin noradrenaline reuptake inhibitors
SSRI
Selective serotonin reuptake inhibitor

Background

Anxiety disorders are highly prevalent mental health conditions that are predominantly managed in primary care [1]. Best practice treatment of anxiety involves stepped-care including both psychological and pharmacological interventions [2]. Choice of treatment should be based on severity of symptoms and functional impairment, co-occurring difficulties, consumer preferences, and previous treatment [2, 3], with psychological interventions generally recommended as first-line. However, pharmacological interventions are the most commonly provided treatment irrespective of anxiety severity, and less than half of people seeking help in primary care receive adequate evidence-based treatment [4].
In the past 20 years, there have been major reforms of mental health care in Australia. A key focus has been to improve primary mental health care by realising the role GPs have to play. In particular, the Better Access to Psychiatrists, Psychologists and General Practitioners (Better Access) initiative introduced in 2006 [5], allows consumers to access rebates for evidence-based psychological services provided by mental health professionals (mainly psychologists) from Medicare, the government-funded universal health insurance. In this system, GPs act as both primary providers of treatment and a gateway to specialist mental health care, facilitating access to subsidised psychological services through the creation of a Mental Health Treatment Plan, which involves preliminary assessment, identification of goals, and exploration of treatment options [5].
Previous research has investigated the impact of these reforms on mental health care, though little has focussed on anxiety specifically; several studies have analysed rates of access and management for various mental health conditions such as suicide-related contacts [6], general psychological problems [7], and serious mental illness [8, 9]. A 2012 study found that following the introduction of Better Access, rates of depression management within primary care increased, as did referrals to psychologists [10]. However, absolute rates of specialist referral for mental health conditions remained relatively low, with referral to psychologists (the most common type) occurring in less than 10 per cent of mental-health related encounters. Reports on general practice activity in subsequent years have displayed a continued increase in referral rates [11]. The program has now achieved wide reach; by 2021, one in 20 Australians had received at least one psychological service through Better Access [12]. Over 70% of diagnoses for people treated under Better Access are anxiety disorders (alone or with other conditions) [12], though trends in treatment are not available.
Anxiety disorders tend to be chronic if inadequately treated, resulting in substantial impairment for the individual and high economic costs [13, 14]. There has been ample discussion about the effective treatment of anxiety over the last two decades and updated clinical practice guidelines have been published in Australia and internationally [2, 3, 15]. In particular, as the overuse and limitations of benzodiazepines for anxiety are well documented (e.g., [16]), practice guidelines emphasise a move away from these medications. Formal monitoring and restrictions on benzodiazepines have also been introduced, and the use of these medications generally has been declining [17]. However, little research has investigated the rates of treatment for anxiety within Australian primary care, and in particular, current prescribing practices.
The current study aimed to address these gaps by examining general practice encounters for anxiety in the 10-year period following the introduction of the Better Access program. Further, we explored the effect of GP and patient characteristics on the likelihood of different treatments being used to manage anxiety problems.

Method

The Bettering the Evaluation and Care of Health (BEACH) program was a continuous, national study of general practice activity conducted over 18 years, from April 1998 to June 2016. Each year, a different random sample of 1,000 currently practicing GPs provided details on 100 consecutive consenting patient encounters. For each visit, GPs recorded the reason for the visit, the problem managed during the encounter, any treatment delivered (e.g., clinical treatments, prescriptions provided), and any referrals to other health professionals. The BEACH dataset represents the most current and comprehensive record of GP activity in Australia [11, 18]. In total, the database includes approximately 1.78 million patient encounters, recorded by 11,000 GPs. Further details about the methods used in the BEACH program have been published previously [19].
The BEACH study has approval from both the Human Research Ethics Committee of the University of Sydney (Protocol 2012/130) and from the Ethics Committee of the Australian Institute of Health and Welfare for the years they collaborated (2006–11). Extraction and analysis of BEACH data for the current study was approved by the Australian National University Human Research Ethics Committee (Protocol: 2020/542).

Participants and measures

At each encounter, GPs could record up to four problems managed. The reason for encounter, problems managed, and non-pharmacological treatments were coded by trained research staff according to the International Classification of Primary Care Version 2 PLUS (ICPC-2 PLUS, [20]). Data were then automatically classified to ICPC-2 [21]. Pharmacological treatments were coded according to the Anatomical Therapeutic Chemical (ATC) classification system [22]. For the current analyses, we defined anxiety using the following codes ‘P01’ (feeling anxious), ‘P74’ (anxiety disorder), or ‘P76018’ (anxiety with depression’).
In addition, we extracted data on the following patient variables: sex, age, Commonwealth Health Care Card status (i.e., whether or not a person holds a Government healthcare concession card, which are held by those receiving disability, unemployment, student, carer, aged pension, or other Government income supplements), language background (i.e., language spoken at home; English speaking vs. non-English speaking), and Aboriginal or Torres Strait Islander status (i.e., whether or not a person is Aboriginal or Torres Strait Islander). We used patient residential postcode to define relative socioeconomic advantage according to the Socio-Economic Indexes for Areas (SEIFA) Index of Relative Socio-economic Advantage and Disadvantage (IRSAD, [23]). We compared patients from “most advantaged” (top five IRSAD deciles) areas to those from “most disadvantaged” (bottom five IRSAD deciles) areas in our analyses. Data were also extracted on the following GP characteristics: sex, age, practice size, and practice location (major cities vs. inner regional vs. outer regional/remote) according to the Australian Statistical Geography Standard (ASGS, [24]).

Statistical analysis

All point estimates were calculated as proportions for ease of interpretation, that is, outcomes that could happen more than once per instance (e.g., medications used in treatment) were only counted once. The BEACH study has a single cluster design with each GP having a cluster of 100 patient encounters around them. We used the surveymeans procedures in SAS v9.4 [25] to produce robust 95% confidence intervals as this procedure adjusts for any intracluster correlation. For our descriptive analyses, we judged two point estimates as being significantly different by non-overlapping 95% confidence intervals. This method is far more conservative than the usual alpha of 0.05 [26].
We also performed several multivariate logistic regression analyses to identify the independent predictors of anxiety being managed at an encounter as well as independent predictors of certain treatments being used to manage anxiety (selective serotonin reuptake inhibitors [SSRIs]/serotonin noradrenalin reuptake inhibitors [SNRI], benzodiazepines, counselling/advice/education, referral to a psychologist). We explored these treatments specifically as they are the most commonly used by GPs and the most relevant in terms of clinical practice guidelines. We created a combined outcome category for counselling, advice, or education (CAE) provided by the GP (which included, for example, psychoeducation about anxiety, advice about lifestyle factors, supportive counselling, counselling about medication use). We also combined SSRI and SNRI medications into one outcome category due to both being recommended first-line agents for anxiety problems commonly presenting in primary care [15, 27].

Results

Management rate of anxiety 2006 – 2016

Over the 10-year study period, 9,721 GPs recorded 972,100 encounters with patients. A total of 28,849 anxiety problems were recorded at 28,784 encounters, accounting for 3.0% of general practice encounters (95% CI 2.9 – 3.0). Figure 1 shows the management rate of anxiety from 2006 – 2016, measured as the proportion of all encounters per year. There was an almost 40% increase in the management rate of anxiety, from 2.3% (95%CI = 2.1–2.4) in 2006–07 to 3.2% (95%CI = 3.0–3.4) in 2015–16.
Most anxiety problems (71.7%) were recorded using the codes ‘P01’ (feeling anxious) or ‘P74’ (anxiety disorder), and 28.3% were recorded under mixed anxiety/depression (‘P76018’). New anxiety problems (N = 5,023) accounted for 17.4% of total anxiety problems, and 62.4% (N = 18,014) were recorded as an existing condition. Data were missing for this variable in the remaining encounters.
Table 1 reports the management rate of anxiety over the 2006 – 2016 period by patient and GP characteristics. Patients were more likely to have anxiety managed at an encounter if they were female, socioeconomically advantaged, not Aboriginal or Torres Strait Islander, from an English speaking background, and a Commonwealth Health Care Card holder. Patient age was also associated with likelihood of having anxiety managed at an encounter, with the highest proportion found in 25–39 year olds, followed by 40–59 year olds. Patients under 15 years of age were the least likely to have anxiety managed. GPs were more likely to manage anxiety if they were female, older, and working in less remote practice locations.
Table 1
Management rate of anxiety in general practice 2006 – 2016 by patient and GP characteristics
Variable
Total sample
(N = 972100)
Anxiety encounters
(N = 2784)
Proportion
(95% CI)
Adjusted OR
(95%CI)
Patient sex (missing)
(8522)
(235)
 
p < .0001
 Male
391152
9032
2.31% (2.24–2.38)
Ref group
 Female
572426
19517
3.41% (3.34–3.48)
1.31 (1.27–1.35)
Patient age (missing)
(19222)
(730)
 
p < .0001
 0–14 years
110864
705
0.64% (0.58–0.69)
0.48 (0.43–0.54)
 15–24 years
81201
2792
3.44% (3.27–3.61)
2.56 (2.37–2.77)
 25–39 years
148287
6406
4.32% (4.18–4.46)
3.33 (3.11–3.57)
 40–59 years
254450
10201
4.01% (3.90–4.12)
3.02 (2.83–3.22)
 60–80 years
259108
6157
2.38% (2.30–2.45)
1.41 (1.33–1.49)
 80 + years
98968
1793
1.81% (1.72–1.91)
Ref group
Socioeconomic advantage (missing)
(22692)
(607)
 
p < .0001
 Most advantaged
573803
17396
3.03% (2.96–3.10)
1.08 (1.04–1.12)
 Most disadvantaged
375605
10781
2.87% (2.79–2.95)
Ref group
Indigenous statusa (missing)
(95622)
(2561)
 
p = .014
 Indigenous
14791
427
2.89% (2.54–3.23)
0.86 (0.76–0.97)
 Non-Indigenous
861687
25796
2.99% (2.93–3.06)
Ref group
Language background (missing)
(95865)
(2575)
 
p < .0001
 Non-English speaking
74672
1642
2.20% (2.05–2.34)
0.65 (0.6–0.70)
 English speaking
801563
24567
3.06% (3.00–3.13)
Ref group
Commonwealth HCC (missing)
(80058)
(2202)
 
p < .0001
 Yes
396992
13450
3.39% (3.30–3.48)
1.73 (1.67–1.80)
 No
495050
13132
2.65% (2.59–2.72)
Ref group
Practice location (missing)
(1400)
(29)
 
p < .0001
 Major city
687500
21046
3.06% (2.99–3.13)
1.34 (1.24–1.45)
 Inner regional
187800
5515
2.94% (2.81–3.06)
1.27 (1.17–1.38)
 Outer regional/remote
95400
2194
2.30% (2.15–2.45)
Ref group
Practice size (missing)
(18900)
(533)
 
p = .991
 Solo
48600
2921
2.82% (2.60–3.04)
Ref group
 2–4 GPs
127600
8177
2.85% (2.74–2.96)
0.99 (0.90–1.09)
 5–9 GPs
108200
10962
3.00% (2.91–3.09)
1.00 (0.91–1.10)
 10–14 GPs
28700
4307
3.16% (2.99–3.32)
1.01 (0.91–1.12)
 15 + GPs
10000
1884
3.11% (2.87–3.35)
1.00 (0.89–1.13)
GP sex (missing)
(0)
(0)
 
p < .0001
 Male
583200
15383
2.64% (2.56–2.71)
Ref group
 Female
388900
13401
3.45% (3.35–3.54)
1.23 (1.17–1.28)
GP age (missing)
(6400)
(122)
 
p < .0001
 Less than 45 years
250500
6883
2.75% (2.65–2.85)
Ref group
 45–59 years
473400
14404
3.04% (2.96–3.13)
1.19 (1.13–1.25)
 60 years or older
241800
7375
3.05% (2.92–3.18)
1.25 (1.17–1.33)
Data collection year
N/A
N/A
N/A
p < .0001
1.05 (1.04–1.05)
OR odds ratio, HCC health care card, GP general practitioner
aAboriginal and/or Torres Strait Islander (patient self-report)

Management strategies used

A summary of management strategies used for anxiety problems is reported in Table 2. GPs were significantly more likely to manage anxiety with psychotropic medications than any other approach. There was a significant, linear reduction in the proportion of anxiety problems managed with benzodiazepines across the 10 years (see Fig. 2, Table 4), reducing from 40.5% (95%CI = 37.0 – 44.0) in 2006 to 24.7% (95%CI = 22.3 – 27.1) in 2016. Additionally, the use of SSRI/SNRI medications increased year on year, from 15.7% (95%CI = 13.7 – 17.7) in 2006 to 26.3% (95%CI = 24.2 – 28.5) in 2016.
Table 2
Management strategies used for anxiety 2006—2016
Management Strategy
Anxiety problems managed with strategy least once
(N = 28849)
Proportion of anxiety problems managed with strategy at least once
(95% CI)
Psychotropic medication
15238
52.8% (52.0–53.7)
Benzodiazepine
8664
30.0% (29.2–30.9)
SSRI or SNRI
6084
21.1% (20.5–21.7)
Counselling / advice / education
12601
43.7% (42.8–44.6)
Referral
4900
17.0% (16.5–17.5)
Psychologist
3522
12.2% (11.7–12.7)
Psychiatrist
543
1.9% (1.7–2.0)
Pathology
1312
4.5% (4.3–4.8)
Imaging
138
0.5% (0.4–0.6)
More than one management strategy could be recorded for each encounter, so proportions add to more than 100%
SSRI selective serotonin reuptake inhibitor, SNRI serotonin noradrenalin reuptake inhibitor
The most common single strategy used by GPs was counselling, advice, or education (CAE), which occurred at higher rates than prescriptions of benzodiazepines and SSRI or SNRI medications. Referrals were given for 17% of anxiety problems, and were most commonly to psychologists (12.2% of anxiety problems). The rate of psychologist referral increased substantially over the period studied, from 4.9% (95%CI = 3.8 – 5.9) in 2006 to 15.9% (14.2 – 17.7) in 2016.
Unadjusted proportions for anxiety management with benzodiazepines, SSRIs/SNRIs, CAE, and referral to a psychologist by year and patient and GP characteristics are reported in Table 3 (patient characteristics) and Table 4 (GP characteristics and year), along with multivariate logistic regression results demonstrating the independent effect of each variable on management rate. All variables except Aboriginal or Torres Strait Islander status significantly predicted likelihood at least one of the four strategies being used to manage anxiety. Notable results are discussed in text below.
Table 3
Unadjusted proportions and adjusted odds ratios (multivariate logistic regression) of anxiety problems managed with different strategies, by patient characteristics
 
Benzodiazepines
SSRIs or SNRIs
CAE
Psychologist Referral
Variable
Proportion
(95%CI)
Adjusted OR
(95%CI)
Proportion
(95% CI)
Adjusted OR
(95%CI)
Proportion
(95% CI)
Adjusted OR
(95%CI)
Proportion
(95% CI)
Adjusted OR
(95%CI)
Patient sex
 
p < .0001
 
p < .0001
 
p = .729
 
p = .055
 Male
34.3% (32.8–35.7)
Ref group
39.5% (38.2–40.8)
Ref group
11.8% (11.1–12.6)
Ref group
19.9% (18.9–20.8)
Ref group
 Female
28.1% (27.2–29.0)
0.81 (0.75–0.87)
45.6% (44.7–46.6)
1.21 (1.13–1.29)
12.4% (11.9–12.9)
1.02 (0.92–1.12)
21.6% (20.9–22.3)
1.08 (1.00–1.17)
Patient age
 
p < .0001
 
p < .0001
 
p < .0001
 
p < .0001
 0–14 years
0.1% (-0.1–0.4)
0.01 (< 0.001–0.04)
39.5% (35.7–43.4)
0.76 (0.60–0.96)
39.1% (35.3–42.9)
26.06 (15.9–42.73)
6.5% (4.7–8.3)
0.37 (0.25–0.55)
 15–24 years
10.1% (8.9–11.4)
0.25 (0.20–0.30)
50.2% (48.0–52.3)
1.38 (1.17–1.63)
23.1% (21.4–24.9)
14.14 (8.86–22.55)
26.4% (24.6–28.1)
1.90 (1.56–2.31)
 25–39 years
26.3% (24.8–27.8)
0.72 (0.62–0.84)
45.3% (43.8–46.9)
1.20 (1.05–1.39)
16.7% (15.7–17.7)
10.00 (6.29–15.90)
24.5% (23.3–25.6)
1.78 (1.49–2.14)
 40–59 years
32.2% (30.9–33.4)
0.87 (0.75–0.99)
43.9% (42.7–45.2)
1.22 (1.06–1.39)
10.5% (9.8–11.1)
6.73 (4.25–10.65)
22.2% (21.3–23.1)
1.55 (1.30–1.85)
 60–80 years
39.1% (37.8–40.5)
0.88 (0.77–1.01)
41.0% (39.5–42.4)
1.12 (0.99–1.28)
5.0% (4.4–5.5)
3.43 (2.15–5.49)
17.0% (16.0–18.0)
1.30 (1.08–1.56)
 80 + years
44.0% (41.5–46.4)
Ref group
37.9% (35.5–40.4)
Ref group
1.5% (0.9–2.1)
Ref group
13.0% (11.4–14.6)
Ref group
Socioeconomic status
 
p < .0001
 
p = .095
 
p = .317
 
p = .380
 Most advantaged
27.0% (26.0–27.9)
0.85 (0.78–0.92)
45.6% (44.5–46.7)
1.07 (0.99–1.16)
13.3% (12.7–13.9)
1.06 (0.95–1.18)
21.3% (20.5–22.0)
1.04 (0.95–1.13)
 Most disadvantaged
35.4% (34.0–36.7)
Ref group
40.6% (39.3–41.9)
Ref group
10.4% (9.8–11.1)
Ref group
20.6% (19.7–21.5)
Ref group
Indigenous statusa
 
p = 0.227
 
p = .179
 
p = .529
 
p = .445
 Indigenous
37.9% (32.3–43.5)
1.18 (0.90–1.54)
35.1% (29.6–40.6)
0.83 (0.62–1.09)
12.3% (8.9–15.8)
1.12 (0.78–1.61)
21.9% (17.7–26.0)
1.11 (0.85–1.46)
 Non-Indigenous
30.5% (29.5–31.4)
Ref group
43.9% (43.0–44.9)
Ref group
12.1% (11.6–12.6)
Ref group
20.8% (20.2–21.5)
Ref group
Language background
 
p < .0001
 
p = .0005
 
p = .0001
 
p = .003
 Non-English speaking
28.2% (25.5–30.8)
0.73 (0.63–0.85)
51.6% (48.7–54.6)
1.28 (1.11–1.47)
7.9% (6.5–9.3)
0.64 (0.51–0.80)
15.4% (13.5–17.3)
0.77 (0.65–0.92)
 English speaking
30.8% (29.8–31.7)
Ref group
43.3% (42.3–44.2)
Ref group
12.3% (11.8–12.9)
Ref group
21.2% (20.6–21.9)
Ref group
Commonwealth HCC
 
p < .0001
 
p < .0001
 
p < .0001
 
p < .0001
 Yes
42.2% (40.9–43.5)
2.50 (2.31–2.72)
39.1% (37.9–40.3)
0.80 (0.75–0.86)
8.0% (7.5–8.6)
0.78 (0.70–0.86)
17.2% (16.4–17.9)
0.66 (0.61–0.71)
 No
18.4% (17.6–19.2)
Ref group
48.5% (47.4–49.7)
Ref group
16.3% (15.6–17.0)
Ref group
24.9% (24.0–25.8)
Ref group
Type of anxiety
 
p < .0001
 
p < .0001
 
p < .0001
 
p < .0001
 New problem
16.3% (15.2–17.4)
0.43 (0.39–0.48)
55.6% (54.0–57.2)
1.85 (1.71–2.01)
20.8% (19.6–22.1)
2.05 (1.85–2.27)
16.9% (15.8–18.1)
0.62 (0.56–0.68)
 Existing problem
34.6% (33.4–35.7)
Ref group
40.6% (39.5–41.7)
Ref group
10.0% (9.5–10.5)
Ref group
23.6% (22.8–24.3)
Ref group
OR Odds ratio, SSRIs Selective serotonin reuptake inhibitors, SNRIs Serotonin noradrenalin reuptake inhibitors, HCC Health care card, CAE Counselling / advice / education
aAboriginal and/or Torres Strait Islander (patient self-report)
Table 4
Unadjusted proportions and adjusted odds ratios (multivariate logistic regression) of anxiety problems managed with different strategies, by GP characteristics
 
Benzodiazepines
SSRIs or SNRIs
CAE
Psychologist Referral
Variable
Proportion
(95%CI)
Adjusted OR
(95%CI)
Proportion
(95% CI)
Adjusted OR
(95%CI)
Proportion
(95% CI)
Adjusted OR
(95%CI)
Proportion
(95% CI)
Adjusted OR
(95%CI)
Practice location
 
p = .641
 
p = .003
 
p = .035
 
p = .004
 Major city
29.2% (28.2–30.2)
1.04 (0.89–1.23)
45.2% (44.1–46.2)
1.26 (1.07–1.48)
12.8% (12.3–13.4)
1.19 (0.97–1.47)
20.6% (19.8–21.3)
0.90 (0.77–1.05)
 Inner regional
32.0% (30.1–34.0)
0.99 (0.83–1.18)
39.8% (37.9–41.7)
1.09 (0.92–1.30)
10.7% (9.8–11.7)
1.02 (0.81–1.28)
23.2% (21.8–24.6)
1.08 (0.91–1.28)
 Outer regional/remote
32.7% (29.8–35.6)
Ref group
39.2% (36.2–42.3)
Ref group
9.9% (8.5–11.4)
Ref group
21.3% (19.3–23.4)
Ref group
Practice size
 
p = .315
 
p = .658
 
p = .017
 
p = .001
 Solo GP
42.0% (38.1–46.0)
Ref group
39.3% (35.8–42.9)
Ref group
6.5% (5.4–7.6)
Ref group
14.4% (12.7–16.1)
Ref group
 2–4 GPs
31.2% (29.5–32.9)
0.87 (0.71–1.07)
44.4% (42.7–46.1)
1.07 (0.88–1.29)
11.2% (10.4–12.0)
1.33 (1.05–1.70)
20.8% (19.7–21.9)
1.46 (1.21–1.76)
 5–9 GPs
27.9% (26.7–29.1)
0.82 (0.67–1.00)
43.9% (42.6–45.3)
1.08 (0.90–1.30)
13.5% (12.7–14.3)
1.48 (1.17–1.87)
21.8% (20.9–22.7)
1.40 (1.17–1.68)
 10–14 GPs
26.2% (24.3–28.0)
0.82 (0.66–1.02)
45.7% (43.4–47.9)
1.15 (0.93–1.40)
14.0% (12.7–15.2)
1.39 (1.08–1.79)
22.9% (21.4–24.5)
1.36 (1.11–1.67)
 15 + GPs
28.0% (24.4–31.5)
0.80 (0.62–1.04)
42.5% (38.8–46.2)
1.02 (0.80–1.31)
13.5% (11.5–15.4)
1.30 (0.97–1.73)
23.9% (21.3–26.6)
1.56 (1.23–1.97)
GP sex
 
p < .0001
 
p < .0001
 
p < .0001
 
p < .0001
 Male
38.0% (36.7–39.3)
Ref group
39.1% (37.9–40.4)
Ref group
9.7% (9.1–10.3)
Ref group
18.6% (17.8–19.4)
Ref group
 Female
20.8% (19.9–21.8)
0.56 (0.51–0.62)
48.9% (47.6–50.2)
1.29 (1.18–1.41)
15.1% (14.4–15.8)
1.30 (1.16–1.44)
23.9% (23.0–24.8)
1.22 (1.11–1.33)
GP age
 
p < .0001
 
p < .0001
 
p < .0001
 
p < .0001
 < 45 years
22.1% (20.9–23.3)
Ref group
45.5% (43.7–47.2)
Ref group
16.4% (15.4–17.4)
Ref group
26.1% (24.9–27.3)
Ref group
 45–59 years
28.4% (27.3–29.6)
1.18 (1.06–1.31)
45.8% (44.5–47.1)
1.08 (0.97–1.19)
12.4% (11.7–13.0)
0.89 (0.80–1.00)
20.9% (20.1–21.7)
0.82 (0.74–0.90)
 60 years + 
40.6% (38.6–42.7)
1.65 (1.44–1.88)
37.8% (36.0–39.6)
0.82 (0.72–0.94)
8.0% (7.3–8.8)
0.68 (0.58–0.81)
16.8% (15.6–18.0)
0.70 (0.62–0.80)
Data collection year
n/a
p < .0001
0.94 (0.92–0.95)
 
p = .009
0.98 (0.96–1.00)
 
p < .0001
1.09 (1.07–1.11)
n/a
p < .0001
1.05 (1.03–1.06)
OR Odds ratio, SSRIs Selective serotonin reuptake inhibitors, SNRIs Serotonin noradrenalin reuptake inhibitors, CAE Counselling / advice / education, GP General practitioner

Effect of patient characteristics

Existing anxiety problems were twice as likely to be managed with benzodiazepines and 61% more likely to be managed with SSRIs/SNRIs than new anxiety problems. The opposite pattern was seen for psychologist referrals and CAE from the GP, with existing anxiety being half as likely as new anxiety to be managed with either of these strategies.
Older patients were more likely to receive benzodiazepines and less likely to receive other management strategies than younger patients (with the exception of people under the age of 15, who were the least likely to receive SSRIs and CAE). Patients aged less than 15 years were the most likely to receive a referral to a psychologist. Patient sex was associated with likelihood of receiving benzodiazepines and CAE, with male patients 23% more likely to receive benzodiazepines, and female patients 21% more likely to receive CAE.
Patients from a non-English speaking background were approximately three quarters as likely to receive management with benzodiazepines or SSRIs/SNRIs, and two thirds as likely to receive a psychologist referral than patients from an English-speaking background. However, they were 28% more likely to receive CAE from their GP.
Holding a HCC was associated with two and a half times the likelihood of receiving a benzodiazepine, and a decreased likelihood of anxiety being managed with any of the other three strategies. Similarly, likelihood of receiving benzodiazepines was higher for the most socioeconomically disadvantaged patients.

Effect of GP characteristics

Female GPs were almost half as likely to manage anxiety with benzodiazepines, 22% more likely to use SSRIs/SNRIs, 29% more likely to provide CAE, and 30% more likely to refer to a psychologist than their male peers. Older GPs were also more likely to manage anxiety using benzodiazepines and less likely to use other management strategies. Compared with those aged under 45 years, GPs over 60 years old were 65% more likely to use benzodiazepines, and significantly less likely to use any of the other strategies to manage anxiety problems.

Discussion

Management rate of anxiety 2006 – 2016

Over the period analysed, this study demonstrated that anxiety was accounting for a larger proportion of GP workload year by year. In the absence of any other significant health reforms that would impact the management rate of anxiety, it is reasonable to assume that the observed linear increase would have continued from 2016 to 2023. The drivers of this increase are likely multifaceted, including changes to help-seeking, access, and prevalence. The introduction of Better Access was intended to lower barriers to accessing psychologists through the creation of Government rebates for these services, which consumers access by visiting their GP for initial assessment and referral under a Mental Health Treatment Plan [10], As such, consumers have been directed to seek care from a GP as the “first port of call” for managing anxiety and other mental health conditions. The background prevalence of anxiety may also have increased over the period studied, though this is difficult to determine due to the lack of large scale studies on the prevalence of mental health conditions in Australia during the study period [18]. As a result of the COVID-19 pandemic, rates of general practice encounters for anxiety may have increased further since 2020 due to increased onset of new anxiety, exacerbation of existing conditions, or increased help-seeking due to stressors and a lack of alternative coping strategies [28, 29].

Management strategies used

Psychotropic medications were the most common treatment category, but GPs managed anxiety problems with CAE more often than either of the most common medications used (benzodiazepines and SSRI/SNRIs). Rates of referral to psychologists were relatively low. Despite the lowering of financial barriers for psychologists through Government rebates, psychological treatment remains expensive, and GPs are limited by a shortage of psychologists for private referral. However, referrals to psychologists tripled from 2006 to 2016 following the introduction of Better Access, suggesting the introduction of rebates facilitated increased access to private psychology as intended. Non-pharmacological strategies were also particularly more common for new anxiety problems, suggesting alignment with practice guidelines that recommend psychological interventions as first line for anxiety [2, 3].
Although approximately one third of anxiety problems were managed with a benzodiazepine, the use of these medications reduced substantially over the 10 years. Issues with benzodiazepines have been well documented, and reducing their use has been the focus of a significant amount of education and policy. New Australian guidelines for the use of benzodiazepines in general practice were released in 2015, including specific recommendations for managing anxiety [30] in line with international guidance [3], which may have let to further decreases in benzodiazepine prescribing for anxiety from 2016 to the current time.

Effect of patient and GP characteristics

There was a complex interaction between sex of GPs and patients. Female patients were more likely than males to have anxiety managed, consistent with the higher prevalence of anxiety in women [14, 31] and greater likelihood of seeking help for mental health problems [32]. However, female patients are also more likely to see female GPs [33], who were more likely to manage anxiety in our sample.
Female patients were more likely to receive CAE and less likely to receive benzodiazepines than male patients. This again may be explained, in part, by higher likelihood of seeing a female GP, who were much more likely to manage anxiety with CAE and much less likely to use benzodiazepines. Older and male GPs were more likely to manage anxiety with benzodiazepines, and less likely to use other management strategies than younger and female GPs. This is consistent with patterns of management for other conditions, which has shown female GPs are more likely to provide preventative care, referrals, and counselling [34]. Overall, the pattern also suggests younger and female GPs manage anxiety in ways more closely aligned to clinical practice guidelines, though this may be influenced by the patients they see.
Patients aged 25–59 had the highest rates of anxiety management, and rates were lowest in those under 15 years and over 80 years old. Young and middle-aged adults have the highest prevalence of anxiety, which typically peaks in middle age and decreases in older age [14, 31]. Further, the age of onset for anxiety disorders most seen in primary care (generalised anxiety disorder and panic disorder) is early adulthood [10], though long delays in help-seeking mean people may not present for treatment until a decade after symptom onset [35].
In older patient groups, there was a substantially increased likelihood of anxiety being managed with benzodiazepines and decreased likelihood of being referred to a psychologist. Benzodiazepine use is known to increase with age, with high rates of chronic use in the elderly [36, 37]. GPs report reluctance to cease benzodiazepines in these groups due to concerns about withdrawal and resistance from patients [38, 39]. People in older age groups are also more likely to be receiving management for an existing anxiety problem and may previously have received other treatments. However, the high rate of benzodiazepines for anxiety in the elderly is concerning; people over 60 years have a much higher risk of adverse effects relating to falls and confusion [30]. Patients under 15 years received very low rates of medication for anxiety, and relatively high rates of referral to a psychologist (26 times the likelihood of those aged over 80 years). These findings are consistent with recommendations for anxiety in children that emphasise psychological treatment as first-line [40].
The influence of socioeconomics was mixed. Anxiety was managed more often in patients from socioeconomically advantaged areas compared with disadvantaged areas, but HCC holders were 1.75 times more likely to have anxiety managed than non-card holders. It may be the case that people with a HCC, who are older, have a disability, or are low-income earners, experience higher rates of anxiety due to psychosocial stressors, financial disadvantage, and chronic illness. Regarding type of management, HCC holders were also almost three times as likely to receive benzodiazepines as people without a healthcare card, but significantly less likely to receive other management strategies. This indicates that HCC holders receive less preventative care for their anxiety, mirroring the management they receive for other health problems [41].
People from a non-English speaking background were far less likely to have anxiety managed at an encounter. Language background, although not a measure of ethnicity, is strongly predictive of being a member of a minority racial group [42]. Stigma, perceived barriers to mental healthcare, and cultural differences in recognition and help-seeking practices may mean people visit their GP fewer times for anxiety management [42, 43]. Systematic differences in the way anxiety was managed were also found for language background. People from a non-English speaking background were very unlikely to be referred to a psychologist and less likely to receive medication for anxiety than their English speaking counterparts. Language barriers and a lack of culturally competent psychologists may mean GPs are less likely to refer these groups for psychological therapy. Furthermore, stigma may result in reluctance, or perceived reluctance by the GP, to receive treatment for a mental health problem [43]. The treatments available in a migrant group’s country of origin are also likely to impact expectations about treatment in Australia (e.g., [44]). Finally, it may also be the case these findings are related to lower overall rates of consultations for anxiety.
Aboriginal and Torres Strait Islander people were less likely to have anxiety managed than non-Indigenous people. However, Aboriginal and Torres Strait Islander people are known to have higher rates of mental health difficulties than non-Indigenous people [45], and it may therefore be expected that they have anxiety managed at higher rates.

Strengths and limitations

BEACH represents the most comprehensive and current dataset available on GP encounters within Australia. Unfortunately, the BEACH program was defunded and data are no longer being collected, so we were unable to track the treatment of anxiety in general practice beyond 2016 to describe the current management practices. However, examining 10 years of data provides information about trends that can be extrapolated to the current time. A limitation of the BEACH data is that they are cross sectional, meaning we were not able to determine whether a patient had received other management strategies at a previous encounter, or would at a future encounter. People could also receive more than one treatment at an encounter, and exploring the number of problems being managed with a single strategy (e.g., only benzodiazepines) was beyond the scope of this study.
Anxiety was recorded using two codes, one of which refers to a diagnosis of an anxiety disorder (P74), and another (P01) which includes the term “Anxiety”. We also included anxiety recorded under a third code (P76018) which refers to anxiety with depression. The use of multiple codes in the current study may have resulted in the inclusion of sub-clinical anxiety presentations, leading to an overestimation of the prevalence of anxiety disorder. Furthermore, the ICPC codes used by BEACH do not contain information about anxiety severity, so we are unable to determine any differences in management across this variable.
The results for CAE were also difficult to interpret, as the data are not fine-grained enough to determine exactly what GPs are providing when they record this as a management strategy. For instance, it may involve psychoeducation about anxiety, information about medications, advice about lifestyle factors, or brief psychological interventions. Furthermore, unlike medication and referrals, deciding whether counselling, advice, or education has been provided depends on interpretation from the GP, and the same strategy is likely to be recorded differently across different practitioners. Although we combined multiple categories of advice, counselling, and education into one outcome in our study, it was not meaningful to examine them separately due to the factors above.
There may also have been variations in estimations introduced by the nature of the data. Each anxiety problem managed did not represent an individual patient. Patients are likely to have had their anxiety managed multiple times across the 10 years and could have received the same or different strategies at each encounter. Benzodiazepines can only be prescribed in small amounts for a limited period under the Australian Pharmaceutical Benefits Scheme and will therefore require more GP encounters than a patient being treated with antidepressant medication (which can be provided for a period of six months under the Pharmaceutical Benefits Scheme) or psychologist referral. This is also reflected in high rates of CAE, which is a strategy that can be provided at every encounter unlike medications and psychologist referral.

Future research and clinical implications

Our results suggest that anxiety is accounting for an increasing proportion of GP workload. We can expect that if anything, fallout from the COVID-19 pandemic will result in a larger increase in anxiety presentations than the linear pattern seen over the last few years. While milder anxiety presentations may resolve spontaneously, anxiety disorders tend to be chronic if insufficiently treated and it is important that appropriate management is provided [14].
High rates of benzodiazepine use in certain groups, particularly the elderly, are a concern. While benzodiazepines do have a place in the treatment of anxiety, practitioners should continue to reserve these medications for short-term use and in conjunction with other evidence-based treatments (e.g., during initiation of an SSRI/SNRI). The limitations in terms of effectiveness and the possibility for them to prolong anxiety disorders should be discussed with patients as well as tolerance/dependence issues to allow informed treatment decision making. Emphasising psychological treatments and reducing benzodiazepine use for anxiety in the elderly should be a priority.
Further research should explore GP treatment decision-making for anxiety to examine drivers behind the use of different management options, and differences across patient populations. Future research should also seek to understand consumer priorities for anxiety treatment, as there is some indication that consumers prefer psychological treatments over pharmacotherapy for common mental health problems [45, 46].
Although financial barriers have been lowered for treatment with a psychologist, it is acknowledged that this remains inaccessible for many [12]. Where referral to a psychologist is not possible, GPs should consider e-mental health options such as computerised cognitive behaviour therapy programs (see www.​emhprac.​org.​au/​directory/​ for a directory of e-mental health resources), which are effective treatments for anxiety [47].
Finally, we are well aware that research often does not reflect real-world treatment settings and that practice guidelines frequently do not take into account the complexities of clinical practice. Future research should explore implementation barriers in more detail to determine how the guidelines for treating anxiety can be made more accessible and practical for GPs.

Conclusions

Using the most comprehensive and current dataset on Australian GP activity available, this study found that anxiety is accounting for more of the GP workload, year on year. Over the period studied, referrals to psychologists tripled, prescription of SSRIs/SNRIs increased by 68%, and prescription of benzodiazepines decreased by almost 40%, suggesting GP management of anxiety has become more closely aligned with practice guidelines since 2006.
Systematic differences in management were found according to patient and GP characteristics, including high rates of management with benzodiazepines in older adults and patients with a Government health care concession card. Younger and female GPs, as well as those working in practices with other doctors, were less likely to manage anxiety with benzodiazepines and more likely to use SSRI/SNRI medications, referrals, and counselling. Further research is needed into GP treatment decision making for anxiety to understand these differences.

Acknowledgements

The first author conducted this study under the supervision of the second and third authors in partial fulfilment of a Doctor of Philosophy in Clinical Psychology at the Australian National University (ANU).

Declarations

Extraction and analysis of data for the current study was approved by the Australian National University Human Research Ethics Committee (Protocol: 2020/542). Original data collection was approved by the Human Research Ethics Committee of the University of Sydney (Protocol 2012/130). At recruitment, patients or their legally authorized representatives were shown an information sheet explaining the study. This detailed that a) no identifying information would be recorded, b) they had the right to refuse to participate, and c) refusal would not influence the care they received at their GP visit. Data were collected anonymously, and the University of Sydney HREC directed that informed verbal consent be noted in the patient’s record, as written consent would have identified the patient to the research team. All methods in this study were conducted in accordance with the Declaration of Helsinki and Australian National Statement on Ethical Conduct in Human Research.
Not applicable.

Competing interests

ELP runs a sole-trader business as a psychologist in private practice. The authors declare that no other competing interests exist.
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://​creativecommons.​org/​licenses/​by/​4.​0/​. The Creative Commons Public Domain Dedication waiver (http://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Literatur
1.
Zurück zum Zitat Burgess PM, Pirkis JE, Slade TN, Johnston AK, Meadows GN, Gunn JM. Service use for mental health problems: findings from the 2007 National Survey of Mental Health and Wellbeing. Aust N Z J Psychiatry. 2009;43(7):615–23.CrossRefPubMed Burgess PM, Pirkis JE, Slade TN, Johnston AK, Meadows GN, Gunn JM. Service use for mental health problems: findings from the 2007 National Survey of Mental Health and Wellbeing. Aust N Z J Psychiatry. 2009;43(7):615–23.CrossRefPubMed
2.
Zurück zum Zitat Andrews G, Bell C, Boyce P, Gale C, Lampe L, Marwat O, Rapee R, Wilkins G. Royal Australian and New Zealand College of Psychiatrists clinical practice guidelines for the treatment of panic disorder, social anxiety disorder and generalised anxiety disorder. Aust N Z J Psychiatry. 2018;52(12):1109–72.CrossRef Andrews G, Bell C, Boyce P, Gale C, Lampe L, Marwat O, Rapee R, Wilkins G. Royal Australian and New Zealand College of Psychiatrists clinical practice guidelines for the treatment of panic disorder, social anxiety disorder and generalised anxiety disorder. Aust N Z J Psychiatry. 2018;52(12):1109–72.CrossRef
4.
Zurück zum Zitat Harris MG, Hobbs MJ, Burgess PM, Pirkis JE, Diminic S, Siskind DJ, Andrews G, Whiteford HA. Frequency and quality of mental health treatment for affective and anxiety disorders among Australian adults. Med J Aust. 2015;202(4):185–9.CrossRefPubMed Harris MG, Hobbs MJ, Burgess PM, Pirkis JE, Diminic S, Siskind DJ, Andrews G, Whiteford HA. Frequency and quality of mental health treatment for affective and anxiety disorders among Australian adults. Med J Aust. 2015;202(4):185–9.CrossRefPubMed
6.
Zurück zum Zitat Harrison C, Bayram C, Britt H. Suicide-related contacts–experience in general practice. Aust Fam Physician. 2013;42(9):605.PubMed Harrison C, Bayram C, Britt H. Suicide-related contacts–experience in general practice. Aust Fam Physician. 2013;42(9):605.PubMed
7.
Zurück zum Zitat Harrison CM, Britt H, Harrison CM, Britt H. The rates and management of psychological problems in Australian general practice. Aust N Z J Psychiatry. 2004;38(10):781–8.CrossRefPubMed Harrison CM, Britt H, Harrison CM, Britt H. The rates and management of psychological problems in Australian general practice. Aust N Z J Psychiatry. 2004;38(10):781–8.CrossRefPubMed
8.
Zurück zum Zitat Farrer LM, Walker J, Harrison C, Banfield M. Primary care access for mental illness in Australia: Patterns of access to general practice from 2006 to 2016. PLoS One. 2018;13(6):e0198400.CrossRefPubMedPubMedCentral Farrer LM, Walker J, Harrison C, Banfield M. Primary care access for mental illness in Australia: Patterns of access to general practice from 2006 to 2016. PLoS One. 2018;13(6):e0198400.CrossRefPubMedPubMedCentral
9.
Zurück zum Zitat Banfield M, Farrer LM, Harrison C. Management or missed opportunity? Mental health care planning in Australian general practice. Aust J Prim Health. 2019;25(4):332–8.CrossRefPubMed Banfield M, Farrer LM, Harrison C. Management or missed opportunity? Mental health care planning in Australian general practice. Aust J Prim Health. 2019;25(4):332–8.CrossRefPubMed
10.
Zurück zum Zitat Harrison C, Britt H, Charles J. Better Outcomes or Better Access-which was better for mental health care? Med J Aust. 2012;197(3):170–2.CrossRefPubMed Harrison C, Britt H, Charles J. Better Outcomes or Better Access-which was better for mental health care? Med J Aust. 2012;197(3):170–2.CrossRefPubMed
11.
Zurück zum Zitat Britt H, Miller GC, Henderson J, Bayram C, Harrison C, Valenti L, Pan Y, Charles J, Pollack AJ, Wong C, et al. General practice activity in Australia 2015–16. In. Sydney: Sydney University Press; 2016. Britt H, Miller GC, Henderson J, Bayram C, Harrison C, Valenti L, Pan Y, Charles J, Pollack AJ, Wong C, et al. General practice activity in Australia 2015–16. In. Sydney: Sydney University Press; 2016.
13.
Zurück zum Zitat Baxter AJ, Vos T, Scott KM, Ferrari AJ. The global burden of anxiety disorders in 2010. Psychol Med. 2014;44(11):2363–74.CrossRefPubMed Baxter AJ, Vos T, Scott KM, Ferrari AJ. The global burden of anxiety disorders in 2010. Psychol Med. 2014;44(11):2363–74.CrossRefPubMed
15.
Zurück zum Zitat Bandelow B, Sher L, Bunevicius R, Hollander E, Kasper S, Zohar J, Möller H-J. Guidelines for the pharmacological treatment of anxiety disorders, obsessive–compulsive disorder and posttraumatic stress disorder in primary care. Int J Psychiatry Clin Pract. 2012;16(2):77–84.CrossRefPubMed Bandelow B, Sher L, Bunevicius R, Hollander E, Kasper S, Zohar J, Möller H-J. Guidelines for the pharmacological treatment of anxiety disorders, obsessive–compulsive disorder and posttraumatic stress disorder in primary care. Int J Psychiatry Clin Pract. 2012;16(2):77–84.CrossRefPubMed
16.
Zurück zum Zitat Stephenson CP, Karanges E, McGregor IS. Trends in the utilisation of psychotropic medications in Australia from 2000 to 2011. Aust N Z J Psychiatry. 2013;47(1):74–87.CrossRefPubMed Stephenson CP, Karanges E, McGregor IS. Trends in the utilisation of psychotropic medications in Australia from 2000 to 2011. Aust N Z J Psychiatry. 2013;47(1):74–87.CrossRefPubMed
17.
Zurück zum Zitat Australian Institute of Health and Welfare. Alcohol, tobacco & other drugs in Australia. Canberra: AIHW; 2021. Australian Institute of Health and Welfare. Alcohol, tobacco & other drugs in Australia. Canberra: AIHW; 2021.
18.
Zurück zum Zitat Australian Institute of Health and Welfare. Mental health services in Australia. Canberra: AIHW; 2021. Australian Institute of Health and Welfare. Mental health services in Australia. Canberra: AIHW; 2021.
19.
Zurück zum Zitat Britt H, Miller GC, Bayram C, Henderson J, Valenti L, Harrison C, Pan Y, Charles J, Pollack AJ, Chambers T, et al. A decade of Australian general practice activity 2006–07 to 2015–16. Sydney: Sydney University Press; 2016. Britt H, Miller GC, Bayram C, Henderson J, Valenti L, Harrison C, Pan Y, Charles J, Pollack AJ, Chambers T, et al. A decade of Australian general practice activity 2006–07 to 2015–16. Sydney: Sydney University Press; 2016.
20.
Zurück zum Zitat Family Medicine Research Centre. International Classification of Primary Care PLUS (ICPC-2 PLUS). Sydney: University of Sydney: FMRC; 1998. Family Medicine Research Centre. International Classification of Primary Care PLUS (ICPC-2 PLUS). Sydney: University of Sydney: FMRC; 1998.
21.
Zurück zum Zitat Classification Committee of the World Organization of Family Doctors. ICPC-2: International Classification of Primary Care. 2nd ed. Oxford: Oxford University Press; 1998. Classification Committee of the World Organization of Family Doctors. ICPC-2: International Classification of Primary Care. 2nd ed. Oxford: Oxford University Press; 1998.
22.
Zurück zum Zitat World Health Organization Collaborating Centre for Drug Statistics Methodology. ATC/DDD Index 2016. Geneva: WHO; 2015. World Health Organization Collaborating Centre for Drug Statistics Methodology. ATC/DDD Index 2016. Geneva: WHO; 2015.
23.
Zurück zum Zitat Australian Bureau of Statistics. Socio-Economic Indexes for Areas 2011. 2013. Australian Bureau of Statistics. Socio-Economic Indexes for Areas 2011. 2013.
24.
Zurück zum Zitat Australian Bureau of Statistics. Australian Statistical Geography Standard (ASGS): Volume 5 - Remoteness Structure. 2011. Australian Bureau of Statistics. Australian Statistical Geography Standard (ASGS): Volume 5 - Remoteness Structure. 2011.
25.
Zurück zum Zitat SAS Institute Inc. SAS/ACCESS® 9.4 Interface to ADABAS: Reference. Cary: SAS Institute Inc.; 2013. SAS Institute Inc. SAS/ACCESS® 9.4 Interface to ADABAS: Reference. Cary: SAS Institute Inc.; 2013.
26.
Zurück zum Zitat Austin PC, Hux JE. A brief note on overlapping confidence intervals. J Vasc Surg. 2002;36(1):194–5.CrossRefPubMed Austin PC, Hux JE. A brief note on overlapping confidence intervals. J Vasc Surg. 2002;36(1):194–5.CrossRefPubMed
28.
Zurück zum Zitat Dawel A, Shou Y, Smithson M, Cherbuin N, Banfield M, Calear AL, Farrer LM, Gray D, Gulliver A, Housen T et al. The effect of COVID-19 on mental health and wellbeing in a representative sample of Australian adults. Front Psychiatry. 2020;11(1026):579985. Dawel A, Shou Y, Smithson M, Cherbuin N, Banfield M, Calear AL, Farrer LM, Gray D, Gulliver A, Housen T et al. The effect of COVID-19 on mental health and wellbeing in a representative sample of Australian adults. Front Psychiatry. 2020;11(1026):579985.
29.
Zurück zum Zitat Batterham PJ, Calear AL, McCallum SM, Morse AR, Banfield M, Farrer LM, Gulliver A, Cherbuin N, Rodney Harris RM, Shou Y, et al. Trajectories of depression and anxiety symptoms during the COVID-19 pandemic in a representative Australian adult cohort. Med J Aust. 2021;214(10):462–8.CrossRefPubMedPubMedCentral Batterham PJ, Calear AL, McCallum SM, Morse AR, Banfield M, Farrer LM, Gulliver A, Cherbuin N, Rodney Harris RM, Shou Y, et al. Trajectories of depression and anxiety symptoms during the COVID-19 pandemic in a representative Australian adult cohort. Med J Aust. 2021;214(10):462–8.CrossRefPubMedPubMedCentral
31.
Zurück zum Zitat Baxter AJ, Scott KM, Vos T, Whiteford HA. Global prevalence of anxiety disorders: a systematic review and meta-regression. Psychol Med. 2013;43(5):897–910.CrossRefPubMed Baxter AJ, Scott KM, Vos T, Whiteford HA. Global prevalence of anxiety disorders: a systematic review and meta-regression. Psychol Med. 2013;43(5):897–910.CrossRefPubMed
32.
Zurück zum Zitat Harris MG, Baxter AJ, Reavley N, Diminic S, Pirkis J, Whiteford HA. Gender-related patterns and determinants of recent help-seeking for past-year affective, anxiety and substance use disorders: findings from a national epidemiological survey. Epidemiol Psychiatr Sci. 2016;25(6):548–61.CrossRefPubMed Harris MG, Baxter AJ, Reavley N, Diminic S, Pirkis J, Whiteford HA. Gender-related patterns and determinants of recent help-seeking for past-year affective, anxiety and substance use disorders: findings from a national epidemiological survey. Epidemiol Psychiatr Sci. 2016;25(6):548–61.CrossRefPubMed
33.
Zurück zum Zitat Delgado A, López-Fernández L-A. Luna JdD, Saletti-Cuesta L, Gil N, Jiménez M: The role of expectations in preferences of patients for a female or male general practitioner. Patient Educ Couns. 2011;82(1):49–57.CrossRefPubMed Delgado A, López-Fernández L-A. Luna JdD, Saletti-Cuesta L, Gil N, Jiménez M: The role of expectations in preferences of patients for a female or male general practitioner. Patient Educ Couns. 2011;82(1):49–57.CrossRefPubMed
34.
Zurück zum Zitat Harrison CM, Britt HC, Charles J. Sex of the GP–20 years on. Med J Aust. 2011;195(4):192–6.CrossRefPubMed Harrison CM, Britt HC, Charles J. Sex of the GP–20 years on. Med J Aust. 2011;195(4):192–6.CrossRefPubMed
35.
Zurück zum Zitat Thompson A, Issakidis C, Hunt C. Delay to seek treatment for anxiety and mood disorders in an Australian clinical sample. Behav Chang. 2008;25(2):71–84.CrossRef Thompson A, Issakidis C, Hunt C. Delay to seek treatment for anxiety and mood disorders in an Australian clinical sample. Behav Chang. 2008;25(2):71–84.CrossRef
36.
Zurück zum Zitat Windle A, Elliot E, Duszynski K, Moore V. Benzodiazepine prescribing in elderly Australian general practice patients. Aust N Z J Public Health. 2007;31(4):379–81.CrossRefPubMed Windle A, Elliot E, Duszynski K, Moore V. Benzodiazepine prescribing in elderly Australian general practice patients. Aust N Z J Public Health. 2007;31(4):379–81.CrossRefPubMed
37.
Zurück zum Zitat Jorm AF, Grayson D, Creasey H, Waite L, Broe GA. Long-term benzodiazepine use by elderly people living in the community. Aust N Z J Public Health. 2000;24(1):7–10.CrossRefPubMed Jorm AF, Grayson D, Creasey H, Waite L, Broe GA. Long-term benzodiazepine use by elderly people living in the community. Aust N Z J Public Health. 2000;24(1):7–10.CrossRefPubMed
38.
Zurück zum Zitat Sim MG, Khong E, Wain TD. The prescribing dilemma of benzodiazepines. Aust Fam Physician. 2007;36(11):923–6.PubMed Sim MG, Khong E, Wain TD. The prescribing dilemma of benzodiazepines. Aust Fam Physician. 2007;36(11):923–6.PubMed
39.
Zurück zum Zitat Cook JM, Marshall R, Masci C, Coyne JC. Physicians’ perspectives on prescribing benzodiazepines for older adults: a qualitative study. J Gen Intern Med. 2007;22(3):303–7.CrossRefPubMedPubMedCentral Cook JM, Marshall R, Masci C, Coyne JC. Physicians’ perspectives on prescribing benzodiazepines for older adults: a qualitative study. J Gen Intern Med. 2007;22(3):303–7.CrossRefPubMedPubMedCentral
41.
Zurück zum Zitat Charles J, Valenti L, Britt H. GP visits by health care card holders A secondary analysis of data from Bettering the Evaluation and Care of Health (BEACH), a national study of general practice activity in Australia. Australian Fam Physician. 2003;32(1–2):85–8. Charles J, Valenti L, Britt H. GP visits by health care card holders A secondary analysis of data from Bettering the Evaluation and Care of Health (BEACH), a national study of general practice activity in Australia. Australian Fam Physician. 2003;32(1–2):85–8.
42.
Zurück zum Zitat Bastos JL, Harnois CE, Paradies YC. Health care barriers, racism, and intersectionality in Australia. Soc Sci Med. 2018;199:209–18.CrossRefPubMed Bastos JL, Harnois CE, Paradies YC. Health care barriers, racism, and intersectionality in Australia. Soc Sci Med. 2018;199:209–18.CrossRefPubMed
43.
Zurück zum Zitat Youssef J, Deane FP. Factors influencing mental-health help-seeking in Arabic-speaking communities in Sydney, Australia. Ment Health Relig Cult. 2006;9(1):43–66.CrossRef Youssef J, Deane FP. Factors influencing mental-health help-seeking in Arabic-speaking communities in Sydney, Australia. Ment Health Relig Cult. 2006;9(1):43–66.CrossRef
44.
Zurück zum Zitat Misev A, Phillips CB. Dangerous sadness: nervoza among first and second generation Macedonian immigrants to Australia. Ethn Health. 2019;24(3):301–11.CrossRefPubMed Misev A, Phillips CB. Dangerous sadness: nervoza among first and second generation Macedonian immigrants to Australia. Ethn Health. 2019;24(3):301–11.CrossRefPubMed
45.
Zurück zum Zitat van Schaik DJF, Klijn AFJ, van Hout HPJ, van Marwijk HWJ, Beekman ATF, de Haan M, van Dyck R. Patients’ preferences in the treatment of depressive disorder in primary care. Gen Hosp Psychiatry. 2004;26(3):184–9.CrossRefPubMed van Schaik DJF, Klijn AFJ, van Hout HPJ, van Marwijk HWJ, Beekman ATF, de Haan M, van Dyck R. Patients’ preferences in the treatment of depressive disorder in primary care. Gen Hosp Psychiatry. 2004;26(3):184–9.CrossRefPubMed
46.
Zurück zum Zitat Mohlman J. A Community Based Survey of Older Adults’ Preferences for Treatment of Anxiety. Psychol Aging. 2012;27:1182–90.CrossRefPubMed Mohlman J. A Community Based Survey of Older Adults’ Preferences for Treatment of Anxiety. Psychol Aging. 2012;27:1182–90.CrossRefPubMed
47.
Zurück zum Zitat Andrews G, Basu A, Cuijpers P, Craske MG, McEvoy P, English CL, Newby JM. Computer therapy for the anxiety and depression disorders is effective, acceptable and practical health care: an updated meta-analysis. J Anxiety Disord. 2018;55:70–8.CrossRefPubMed Andrews G, Basu A, Cuijpers P, Craske MG, McEvoy P, English CL, Newby JM. Computer therapy for the anxiety and depression disorders is effective, acceptable and practical health care: an updated meta-analysis. J Anxiety Disord. 2018;55:70–8.CrossRefPubMed
Metadaten
Titel
Anxiety management in Australian general practice: an analysis of encounters from 2006 – 2016
verfasst von
Erin L. Parker
Michelle Banfield
Daniel B. Fassnacht
Christine B. Phillips
Christopher Harrison
Publikationsdatum
01.12.2023
Verlag
BioMed Central
Erschienen in
BMC Primary Care / Ausgabe 1/2023
Elektronische ISSN: 2731-4553
DOI
https://doi.org/10.1186/s12875-023-02110-9

Weitere Artikel der Ausgabe 1/2023

BMC Primary Care 1/2023 Zur Ausgabe

Leitlinien kompakt für die Allgemeinmedizin

Mit medbee Pocketcards sicher entscheiden.

Seit 2022 gehört die medbee GmbH zum Springer Medizin Verlag

Facharzt-Training Allgemeinmedizin

Die ideale Vorbereitung zur anstehenden Prüfung mit den ersten 24 von 100 klinischen Fallbeispielen verschiedener Themenfelder

Mehr erfahren

Ein Drittel der jungen Ärztinnen und Ärzte erwägt abzuwandern

07.05.2024 Medizinstudium Nachrichten

Extreme Arbeitsverdichtung und kaum Supervision: Dr. Andrea Martini, Sprecherin des Bündnisses Junge Ärztinnen und Ärzte (BJÄ) über den Frust des ärztlichen Nachwuchses und die Vorteile des Rucksack-Modells.

„Restriktion auf vier Wochen Therapie bei Schlaflosigkeit ist absurd!“

06.05.2024 Insomnie Nachrichten

Chronische Insomnie als eigenständiges Krankheitsbild ernst nehmen und adäquat nach dem aktuellen Forschungsstand behandeln: Das forderte der Schlafmediziner Dr. Dieter Kunz von der Berliner Charité beim Praxis Update.

GLP-1-Rezeptoragonisten und SGLT-2-Hemmer: zusammen besser

06.05.2024 Typ-2-Diabetes Nachrichten

Immer häufiger wird ein Typ-2-Diabetes sowohl mit einem GLP-1-Rezeptor-Agonisten als auch mit einem SGLT-2-Inhibitor behandelt. Wie sich das verglichen mit den Einzeltherapien auf kardiovaskuläre und renale Komplikationen auswirkt, wurde anhand von Praxisdaten aus Großbritannien untersucht.

Männern mit Zystitis Schmalband-Antibiotika verordnen

03.05.2024 Zystitis Nachrichten

Die akute Zystitis von Männern und ihre Therapie sind wenig erforscht. Norwegische Forscher haben das nachgeholt. Ihr Rat: Erst einmal keine Breitbandantibiotika verordnen.

Update Allgemeinmedizin

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.