Skip to main content
Erschienen in: BMC Primary Care 1/2022

Open Access 01.12.2022 | Research

Use of primary health care services among older patients with and without diabetes

verfasst von: Anna-Kaisa Aro, Merja Karjalainen, Miia Tiihonen, Hannu Kautiainen, Juha Saltevo, Maija Haanpää, Pekka Mäntyselkä

Erschienen in: BMC Primary Care | Ausgabe 1/2022

Abstract

Background

The aim of this study was to compare the utilization of primary healthcare services by older patients with and without type 2 diabetes.

Methods

Electronic patient records were used to identify persons over 65 years of age with a diagnosis of diabetes. Two age- and sex-adjusted controls without diabetes were extracted for each person with diagnosis of diabetes. A health questionnaire was sent by mail to 527 people with diabetes and 890 controls. Of the persons who answered the questionnaire, 518 persons were randomly selected to participate in a health examination. The study group in this analysis consisted of 187 persons with diabetes and 176 persons without diabetes who attended the health examination. The data on primary health care utilization were extracted from electronic patient records one year before and one after the health examination.

Results

Before the onset of the study, the patients with diabetes had more doctor’s appointments (p < 0.001), nurse’s appointments (< 0.001) and laboratory tests taken (p < 0.001) than those without diabetes After 1-year follow-up period the patients with diabetes had more doctor’s appointments (p = 0.002), nurse’s appointments (p = 0.006), laboratory tests taken (p = 0.006) and inpatient care at the community hospital (p = 0.004) than patients without a diagnosis of type 2 diabetes. The use of the community hospital increased significantly among patients with diabetes (ratio 2.50; 95% Cl 1.16–5.36) but not by patients without diabetes (ratio 0.91; 95% Cl 0.40.2.06). The number of nurse’s appointments increased for patients without diabetes (ratio 1.31; 95% Cl 1.07–1.60) but not for those with diabetes (ratio 1.04; 95% Cl 0.88–1.24).

Conclusions

Patients with diabetes visit more often physicians and nurses compared with those without diabetes. During a 1-year follow-up, the use of community hospital care increased significantly among patients with diabetes. In addition to focusing on prevention and care of diabetes, these results suggest the importance of diabetes in planning community-based health care services.
Hinweise

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Abkürzungen
AUDIT
The Alcohol Use Disoreders Identification Test
BMI
Body Mass Index
EQ-5D
EuroQol
GDS-15
The geriatric Depression Scale
HRQoL
Health-related Quaitys of Life
IADL
The Lawton Intrumental Activities of Daily Living
ICD-10
International Classifications of Diseases
MMSE
The Mini-mental Examination State
SHR
Self-rated Health

Background

Diabetes is a growing healthcare problem worldwide [1]. Diabetes and its treatment impose a great economic burden not only on the society but also on individuals [2]. The costs are anticipated to continue rising in the future as the prevalence of diabetes rises [3]. Drug expenditures and hospital inpatient care form the largest groups of the direct costs [4, 5].
Studies have shown that patients with type 2 diabetes use healthcare services more than people without diabetes. A large proportion of patients with diabetes have at least one comorbid chronic condition [1]. Compared to the general population a diagnosis of type 2 diabetes increases the risk for hospital care [69]. Comorbidities, previous hospitalization [10] and poor glycemic control [11] are risk factors for inpatient care in patients with diabetes. Age, insulin use, renal insufficiency and being female have been found to increase the risk of diabetes related-inpatient care [11].
In many countries around the world the proportion of the older people is still increasing during the next decades. At the same time, the prevalence of diabetes is increasing. Most of the studies concerning the use of health care by patients with diabetes are based on hospitals and specialized health care. However, primary health care is responsible for most of the care of these patients with this very common disease. There are some studies focusing on use of the health care at the primary health care level [1214]. However, there are fewer studies comparing the use of different primary health care services including the use of a primary care -based community hospital between patients with and without diabetes. Therefore, in the present study, we focused on the patterns of service use especially at the primary health care level. The aim of this study was to evaluate at the primary level healthcare use in persons with and without type 2 diabetes aged 65 or older in a primary care setting.

Methods

Context

In the Finnish health care system, most primary care services are provided by health centers. Those services include physician’s and nurse’s appointments, laboratory, x-ray and physiotherapy services. In addition to hospital inpatient care, inpatient care is offered in community hospital wards to patients who do not need specialized care [15].

Study population

This study is a part of the Inner-Savo DM65 + study. The basic population (N = 3,093) consisted of home-dwelling people aged at least 65 living in the communities of Suonenjoki and Rautalampi in Eastern Finland. People with a diagnosis of diabetes were identified from primary care electronic patient record according to the International Classifications of Diseases (ICD-10) with diagnostic codes E10 and E11 [16]. People living permanently in institutional care, those who had moved outside the study municipalities and deceased were excluded from the study group. Two age- and sex adjusted controls without diabetes were extracted for each person with a diagnosis of diabetes. A health questionnaire was sent by mail to 527 people with diabetes and 890 controls in 2015 and it was answered by 430 (81.6%) persons with diabetes and 654 (73.5%) by controls. Of the persons who answered the questionnaire, 518 persons were randomly selected and invited to participate in a health examination. The present study population consisted of 359 patients who attended a health examination conducted by one member of the research group (MK) over a period of 3 months in the 2015. Of these, 187 patients had diabetes (of whom five had type 1 diabetes and 182 had type 2 diabetes) and 176 patients had not diabetes. The health examination included a structured interview, a clinical examination and laboratory tests (e.g. fasting plasma glucose and glycated hemoglobin).

Measurements and tools

In the physical examination the patients’ state of health was evaluated and measured in a standard manner by a doctor. The health examination included measurements of height and weight. Body mass index (BMI) was calculated as weight (kg) / height (m2). Blood pressure was measured twice in a sitting position at five-minute intervals after 10 min of rest and average systolic and diastolic pressures were calculated and used as the patient’s blood pressure.
Health-related quality of life (HRQoL) was measured by EuroQol (EQ-5D) [17]. It is a generic measure that includes two parts: a descriptive system and visual analogue scale (EQ VAS). The descriptive system defines health-related quality of life using five dimensions: mobility, self-care, usual activities, pain/discomfort, anxiety/depression.
Self-rated health (SRH) [18] was evaluated by the response to the question: “Is your health in general: excellent, very good, good, fair or poor?” Excellent, very good and good were recorded as good SRH. The Geriatric Depression Scale (GDS-15) [19] was used to evaluate depressive symptoms. Higher scores indicate more symptoms. The Mini-Mental Examination State (MMSE) [20] was used to measure cognitive impairment, with higher scores indicating better cognitive functioning. The Lawton Instrumental Activities of Daily Living (IADL) Scale [21] was used to assess the patient’s ability to function. Higher IADL scores indicate lower functional capacity. Physical activity was measured with the Kasari-FIT index [22]. It includes questions on the frequency, intensity, and duration of exercise. Alcohol consumption was screened by using the Alcohol Use Disorders Identification Test (AUDIT) [23]. Higher scores in this self-reported questionnaire are an indicator of harmful alcohol use.
Comorbidities were recorded by the physician according to a list of the most common chronic diseases. The Charlson comorbidity index [24] was calculated to evaluate the burden of disease (without diabetes) among individuals.
To define the basic health care use before the study, the data were collected from the patient record system during a period of year (12 months) before the health examination. Respectively, to define the health care use prospectively, the data were collected during a period of year after (12 months) the health examination from the patient record system. Doctor’s and nurse’s appointments, dental care and emergency visits, and also impatient care at the community hospital were calculated. The number of laboratory tests and x-ray studies were also calculated.

Statistical analysis

Descriptive characteristics are presented as means with SDs or as counts The groups were compared using the t test or bootstrap type t test for continuous variables and Chi-square test for categorical variables. The use of primary health care services were analyzed by using Poisson’s model and reported as visits and incidence rate ratios (IRRs) with 95% confidence intervals (CIs). Random-effects Poisson regression models (unstructured correlation structure) were used to evaluate relative changes in health care services [25]. The assumptions of overdispersion in the Poisson models were tested using Lagrange multiplier test. Analyses were adjusted with age, gender, Charlson Index, GDS-15, and physical activity, when appropriate. Collinearity was checked using the variance inflation factor. The bootstrap method, resampling with replacement (10,000 replications), was used when the theoretical distribution of the test statistics was unknown or in the case of violation of the assumptions (e.g. non-normality) [26, 27]. The normality of variables was evaluated graphically and by using the Shapiro–Wilk W test. The Stata 17.0, StataCorp LP (College Station, TX, USA) statistical package was used for the analysis.

Results

Table 1 shows the mean characteristics of the study group. The patients with diabetes had a higher body mass index (p < 0.001), higher GDS-15 scores (p < 0.001) and poorer health-related quality of life (p < 0.001) than the controls. The patients with diabetes were less likely to smoke (p = 0.021) and got lower scores from the AUDIT questionnaire (p = 0.013) than the controls. The patients without diabetes were more commonly able to move without assistive aid (p < 0.001) and had better physical activity (p = 0.03). Patients with a diagnosis of diabetes had more cardiovascular diseases (p < 0.001) than patients without diabetes.
Table 1
Characteristics of the study patients without diabetes and with diabetes
 
Patients without diabetes
N = 176
Patients with diabetes
N = 187
P-value
Women, n (%)
60(34)
92(49)
0.004
Age, years, mean (SD)
74(6)
74(7)
0.73
Education years, mean (SD)
9.8(3.3)
9.5(3.2)
0.42
Lives alone, n (%)
45(27)
51(30)
0.53
Smoking, n (%)
24(14)
12(6)
0.021
Alcohol use, AUDIT-C, mean (SD)
2.5(2.4)
1.9(2.0)
0.013
Moving without assistive aid, n (%)
147(88)
128(75)
0.003
Physical activity Kasari FIT index, mean (SD)
43.0(21.5)
31.3(20.9)
 < 0.001
Depressive symptoms, GDS-15, mean (SD)
2.1(2.4)
3.3(3.1)
 < 0.001
Health related quality of life, EQ-5D, mean (SD)
0.829(0.162)
0.757(0.164)
 < 0.001
Cognitive status, MMSE, mean (SD)
27.4(3.2)
27.0(3.3)
0.21
Functioning, IADL, mean (SD)
10.9(4.0)
10.8(4.6)
0.84
Good self-rated health, n (%)
97(58)
72(42)
0.004
Body mass index, kg/m2, mean (SD)
27.6(5.0)
31.2(5.9)
 < 0.001
Fasting plasma glucose, mmol/l, mean (SD)
6.15 (3.75)
7.78 (2.41)
 < 0.001
Glycated hemoglobin, mean (SD)
37.4 (3.5)
49.3 (13.6)
 < 0.001
Multimorbidity, Charlson Index (diabetes excluded), mean (SD)
0.4(0.8)
0.5(0.8)
0.21
Diseases
 Cardiovascular disease
118(67)
155(83)
 < 0.001
 Cerebrovascular disease
15(9)
13(7)
0.58
 Musculoskeletal diseases
64(36)
73(39)
0.60
 Astma or chronic obstructive pulmonary disease
17(10)
19(10)
0.87
 Neurological disease
3(2)
7(4)
0.34
 Cancer
14(8)
13(7)
0.72
 Mental illness
3(2)
8(4)
0.22
 Dementia
2(1)
8(4)
0.11
SD Standard deviation, AUDIT-C The Alcohol Use Disorders Identification Test, GDS-15 Geriatric Depression Scale, EQ-5D EuroQol Questionnaire, MMSE Mini-Mental State Examination, IADL Lawton Instrumental Activities of Daily Living Scale
The results of this study show that before the onset of the study (Table 2) the patients with diabetes had more doctor’s appointments (p < 0.001), nurse’s appointments (< 0.001) and laboratory tests taken (p < 0.001) than the controls. These results remained statistically significant even after adjusting for age, gender, Charlson Index, GDS-15 and the patient’s physical activity.
Table 2
Use of primary health care services in patients without and with diabetes during the one-year period before the onset of study
 
Patients without diabetes
N = 176
Patients with diabetes
N = 187
IRR (95% CI)
Mean (SE)
Mean (SE)
Crude
Adjusted*
Doctor’s appointment
2.20(0.17)
3.45(0.22)
1.57 (1.29 to 1.91)a
1.50 (1.22 to 1.83)a
Emergency visits
0.09(0.02)
0.13(0.03)
1.41 (0.75 to 2.66)
1.43 (0.71 to 2.85)
Nurse’s appointment
2.64(0.34)
4.97(0.56)
1.89 (1.35 to 2.63)a
1.84 (1.29 to 2.63)a
X-ray studies
0.44(0.06)
0.67(0.08)
1.54 (1.08 to 2.20)b
1.46 (0.98 to 2.12)
Laboratory tests
3.11(0.34)
5.67(0.52)
1.82 (1.38 to 2.41)a
1.82 (1.34 to 2.47)a
Inpatient care
0.76(0.26)
0.97(0.35)
1.28 (0.48 to 3.42)
1.21 (0.40 to 3.64)
Abbreviation: SE Standard error, IRR Incidence rate ratio
*Adjusted for age, gender, Charlson Index, GDS-15, and physical activity
a p < 0.001
b p = 0.017
After a 1-year follow-up period (Table 3) the patients with diabetes had more doctor’s appointments (p = 0.002), nurse’s appointments (p = 0.006), laboratory tests taken (p = 0.006) and inpatient care at the community hospital (p = 0.004) than patients without a diagnosis of type 2 diabetes. These results remained statistically significant even after adjusting for age, gender, Charlson Index (Diabetes mellitus excluded), GDS-15 and patients’ physical activity. Glycated hemoglobin (HbA1c) level did not correlate with the primary health care service use.
Table 3
Use of primary health care services in patients without and with diabetes during the one-year follow-up period after the onset of study
 
Patients without diabetes
N = 176
Patients with diabetes
N = 187
IRR (95% CI)
Mean (SE)
Mean (SE)
Crude
Adjusteda
Doctor’s appointment
2.30(0.18)
3.16(0.21)
1.38 (1.12 to 1.69)
p = 0.002
1.33 (1.08 to 1.64)
p = 0.007
Emergency visits
0.11(0.03)
0.18(0.04)
1.60 (0.88 to 2.92)
1.50 (0.81 to 2.78)
Nurse’s appointment
3.45(0.39)
5.17(0.48)
1.50 (1.12 to 2.00)
p = 0.006
1.61 (1.17 to 2.20)
p = 0.003
X-ray studies
0.55(0.06)
0.69(0.07)
1.25 (0.92 to 1.70)
1.34 (0.96 to 1.87)
Laboratory tests
3.32(0.38)
4.94(0.44)
1.49 (1.12 to 1.98)
p = 0.006
1.43 (1.12 to 1.84)
p = 0.005
Inpatient care
0.69(0.22)
2.42(0.71)
3.52 (1.49 to 8.30)
p = 0.004
3.21 (1.26 to 8.16)
p = 0.014
Abbreviation: SE Standard error, IRR Incidence rate ratio
a Adjusted for age, gender, Charlson Index, GDS-15, and physical activity
The biggest relative change from the one-year period before the onset of study to one-year period after the onset of study occurred in inpatient care at the community hospital (Fig. 1). The patients with diabetes had 2.5 times more inpatient care compared to the start of the study whereas there was no change in the control group. The number of nurse’s visits increased slightly in the control group but not among the patients with diabetes.

Discussion

The purpose of this study was to evaluate the use of different primary healthcare services among older patients with and without diabetes. The results of this study show that patients with diagnosis of diabetes use more healthcare services when it comes to doctor’s appointments, nurse’s appointments, and laboratory tests. After a 1-year follow up, use of primary care-based community hospital increased in patients with diabetes but not in those without diabetes.
Most studies concerning the use of health care services have been more focused on hospital care than to primary health care. They have shown that patients with diabetes have more physician office visits, more outpatient visits and more hospital stays than patients without diabetes. Also, the time spent in hospital is longer compared to patients without a diagnosis of diabetes [2, 4, 9, 28, 29]. In studies by the American Diabetes Association [2], diabetes-related health care use is found to be highest among patients over 65 years of age. On the other hand, some of the previous studies have shown that the risk for hospitalization is more evident in younger age groups of patients with diabetes than with patients over 65-years [30]. Some studies have shown that the use of the emergency department is higher in patients with diabetes [31, 32] but when multivariate models are used the difference is no longer significantly higher [33].
Patients with a diagnosis of diabetes had more doctor’s appointment and laboratory tests taken than patients without diabetes at the onset of the study. This result can be explained by the fact that the treatment of diabetes includes checkup appointments and routine laboratory tests. The number of visits to nurse increased in patients without diabetes but not with diabetes. We assume that this is due to the increased need for follow-up visits due to chronic diseases with increasing age. Among the patients with diabetes, the follow-up visits are better organized and planned to result in that among them there was not a need to increase nurse visits. Usually, the treatment of diabetes is arranged well in the Finnish primary health care and the follow-up of patients is planned [34]. This can result in the more structured and frequent follow-up of patients with diabetes compared with those patients without diabetes which may partly explain these findings. However, it does not explain the increased use of primary care hospital which may be more due to the progress of diseases and the increased multimorbidity burden after the study baseline. It has been found that frequent GP and nurses follow-up may reduce the avoidable use of hospital care. Although the follow-up and monitoring of diabetes seems to be at good level in Finland, we must consider how it could be even improved. Patients with diabetes usually have other diseases for example cardiovascular diseases than those without diabetes resulting an increased risk of hospitalization. In addition, older people with diabetes may be more prone to acute diseases (e.g. infections) and the risk of diabetes-related complications may increase with age. Therefore, management and careful follow-up according to a comprehensive care plan is especially important. In addition, it seems evident that also community hospital plays an important role supporting the primary health care near patients.
It is possible that in addition to diabetes and co-existing health problems there have been other factors potentially explaining our results. Increased multimorbidity among patients with diabetes could be one factor. Although cardiovascular diseases were more common in patients with diabetes as expected, the morbidity burden measured with Charlson Index was not bigger in patients with diabetes than those without. It could be hypothesized that socioeconomic status may be related to increased level of health care use among patients with diabetes. A previous Finnish study found that socioeconomic status did not associate with less favorable results of lifestyle counselling [35]. A recent primary care registry-based study found that socioeconomic status did not associate with the delivery of care among patients with diabetes [36]. In our study, we were able to use two indicators related to socioeconomic status, education and the proportion of those who lived alone. There were not differences between patients with and without diabetes concerning these variables. Therefore, we assume that socioeconomic status did not explain the difference between older patients with and without diabetes concerning health care service use in the present study.
In Finland, the diabetes care is organized according to guidelines which most often means the good treatment situation. It may also mean the more structured and frequent follow-up of patients with diabetes compared with those patients without diabetes. This may partly explain the use of services among patients with diabetes. However, it does not explain the increased use of community hospital which may be more due to the progress of diseases and increased multimorbidity. It has been found that frequent GP and nurse follow-up visits may reduce the avoidable use of hospital care [37].
The examined patients were detected from a population representing older people with the established diagnosis of diabetes and the comparison group of patients without the diagnosis of diabetes. The characteristics of these patients were close to a previous Finnish primary care setting study [38]. The patient population was based on electronic patient records having further collection of data with a questionnaire and a health examination. Although the patients seemed to represent quite well Finnish older primary care patients, they came from one primary care district. Therefore, we must be cautious in interpreting these results more generally. Another limitation is that we did not have exact data on the complications of diabetes. However, in patients with diabetes, the functional capacity and disease burden in general seemed to be like in those patients having not diabetes. The level of glycated hemoglobin (HbA1c) in the present study indicated good treatment balance in general. According to our previous analysis, most of these patients with diabetes had good or at least moderate treatment situation [39]. In addition, there was not significant difference in renal function between patients with and without diabetes [40]. Hence, we can assume that the present study patients with diabetes represent those patients who are able to manage at home.
The results of this study showed that the use of primary care based inpatient care in the community hospital increased clearly after the follow-up but in primary care patients without diabetes the rate of community hospital care did not change. It can be assumed that most of the acute diseases or deterioration of chronic diseases of older people are treated in primary care-based community hospitals in Finland, which has about 200 general practitioner run community hospitals [12]. Diabetes is associated especially with the higher use of specialized care. However, the use of primary health care services including inpatient care in community hospital has not studied as intensively. Therefore, the present study provides new knowledge from that perspective. Our results indicate that the increasing prevalence of diabetes with increasing numbers of older people is related to an increased need for these kinds of low-threshold care facilities including community hospitals outside of specialized health care.

Conclusions

The results of this primary health care setting study showed especially use of primary care-based hospital care increased during the follow-up period in older patients with diabetes. The population will become older in the next decades and the prevalence of diabetes will increase. Therefore, these results should be considered in regional and national planning of health care and in resource allocation.

Acknowledgements

The authors thank Inner-Savo Primary Health Care Federation for the kind collaboration.

Declarations

All the participants signed an informed consent form. This study was carried out in compliance with the Helsinki Declaration. Ethical permission for the study was granted by the Ethics committee of the Kuopio University Hospital.
Not applicable.

Competing interests

No potential conflicts of interest relevant to this article were reported.
Open AccessThis 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 Iglay K, Hannachi H, Joseph Howie P, Xu J, Li X, Engel SS, Moore LM, Rajpathak S. Prevalence and co-prevalence of comorbidities among patients with type 2 diabetes mellitus. Curr Med Res Opin. 2016;32(7):1243–52.PubMedCrossRef Iglay K, Hannachi H, Joseph Howie P, Xu J, Li X, Engel SS, Moore LM, Rajpathak S. Prevalence and co-prevalence of comorbidities among patients with type 2 diabetes mellitus. Curr Med Res Opin. 2016;32(7):1243–52.PubMedCrossRef
2.
3.
Zurück zum Zitat Huang ES, Basu A, O’Grady M, Capretta JC. Projecting the future diabetes population size and related costs for the U.S. Diabetes Care. 2009;32:2225–9.PubMedPubMedCentralCrossRef Huang ES, Basu A, O’Grady M, Capretta JC. Projecting the future diabetes population size and related costs for the U.S. Diabetes Care. 2009;32:2225–9.PubMedPubMedCentralCrossRef
4.
Zurück zum Zitat Yang W, Dall TM, Halder P, Gallo P, Kowal SL, Hogan PF, American Diabetes Association. Economic costs of diabetes in the U.S. in 2012. Diabetes Care. 2013;36(4):1033–46.CrossRef Yang W, Dall TM, Halder P, Gallo P, Kowal SL, Hogan PF, American Diabetes Association. Economic costs of diabetes in the U.S. in 2012. Diabetes Care. 2013;36(4):1033–46.CrossRef
5.
Zurück zum Zitat Sabale U, Bodegård J, Sundström J, Östgren CJ, Nilsson P, Johansson G, Svennblad B, Henriksson M. Healthcare utilization and costs following newly diagnosed type-2 diabetes in Sweden: a follow-up of 38,956 patients in a clinical practice setting. Prim Care Diabetes. 2015;9:330–7.PubMedCrossRef Sabale U, Bodegård J, Sundström J, Östgren CJ, Nilsson P, Johansson G, Svennblad B, Henriksson M. Healthcare utilization and costs following newly diagnosed type-2 diabetes in Sweden: a follow-up of 38,956 patients in a clinical practice setting. Prim Care Diabetes. 2015;9:330–7.PubMedCrossRef
6.
Zurück zum Zitat Aro S, Kangas T, Reunanen A, Salinto M, Koivisto V. Hospital use among diabetic patients and the general population. Diabetes Care. 1994;17:1320–9.PubMedCrossRef Aro S, Kangas T, Reunanen A, Salinto M, Koivisto V. Hospital use among diabetic patients and the general population. Diabetes Care. 1994;17:1320–9.PubMedCrossRef
7.
Zurück zum Zitat Rosenthal MJ, Fajardo M, Gilmore S, Morley JE, Naliboff BD. Hospitalization and mortality of diabetes in older adults. A 3-year prospective study. Diabetes Care. 1998;21:231–5.PubMedCrossRef Rosenthal MJ, Fajardo M, Gilmore S, Morley JE, Naliboff BD. Hospitalization and mortality of diabetes in older adults. A 3-year prospective study. Diabetes Care. 1998;21:231–5.PubMedCrossRef
8.
Zurück zum Zitat Shelby JV, Ray GT, Zhang D, Colby CJ. Excess costs of medical care for patients with diabetes in a managed care population. Diabetes Care. 1997;20:1396–402.CrossRef Shelby JV, Ray GT, Zhang D, Colby CJ. Excess costs of medical care for patients with diabetes in a managed care population. Diabetes Care. 1997;20:1396–402.CrossRef
9.
Zurück zum Zitat Donnan PT, Leese GP, Morris AD for the DARTS/MEMO Collaboration. Hospitalizations for people with type 1 and type 2 diabetes compared with the nondiabetic population of Tayside Scotland: a retrospective cohort study of resource use. Diabetes Care. 2000;23:1774–9.PubMedCrossRef Donnan PT, Leese GP, Morris AD for the DARTS/MEMO Collaboration. Hospitalizations for people with type 1 and type 2 diabetes compared with the nondiabetic population of Tayside Scotland: a retrospective cohort study of resource use. Diabetes Care. 2000;23:1774–9.PubMedCrossRef
10.
Zurück zum Zitat Khalid JM, Raluy-Callado M, Curtis BH, Boye KS, Naguire A, Reaney M. Rates and risk of hospitalization among patients with type 2 diabetes: retrospective cohort study using the UK General Practice Research Database linked to English Hospital Episode Statistics. Int J Clin Pract. 2014;68(1):40–8.PubMedCrossRef Khalid JM, Raluy-Callado M, Curtis BH, Boye KS, Naguire A, Reaney M. Rates and risk of hospitalization among patients with type 2 diabetes: retrospective cohort study using the UK General Practice Research Database linked to English Hospital Episode Statistics. Int J Clin Pract. 2014;68(1):40–8.PubMedCrossRef
11.
Zurück zum Zitat Menzin J, et al. Potential short-term economic benefits of improved glycemic control A managed care perspective. Diabetes Care. 2001;24:51–5.PubMedCrossRef Menzin J, et al. Potential short-term economic benefits of improved glycemic control A managed care perspective. Diabetes Care. 2001;24:51–5.PubMedCrossRef
12.
Zurück zum Zitat van Dijk CE, Hoekstra T, Verheij RA, Twisk JW, Groenewegen PP, Schellevis FG, de Bakker DH. Type II diabetes patients in primary care: profiles of healthcare utilization obtained from observational data. BMC Health Serv Res. 2013;4(13):7.CrossRef van Dijk CE, Hoekstra T, Verheij RA, Twisk JW, Groenewegen PP, Schellevis FG, de Bakker DH. Type II diabetes patients in primary care: profiles of healthcare utilization obtained from observational data. BMC Health Serv Res. 2013;4(13):7.CrossRef
13.
Zurück zum Zitat Pierse T, Barry L, Glynn L, Murphy AW, Cruise S, O’Neill C. A comparison, for older people with diabetes, of health and health care utilisation in two different health systems on the island of Ireland. BMC Public Health. 2020;20(1):1446.PubMedPubMedCentralCrossRef Pierse T, Barry L, Glynn L, Murphy AW, Cruise S, O’Neill C. A comparison, for older people with diabetes, of health and health care utilisation in two different health systems on the island of Ireland. BMC Public Health. 2020;20(1):1446.PubMedPubMedCentralCrossRef
14.
Zurück zum Zitat Wikström K, Lamidi M-L, Rautiainen P, Tirkkonen H, Kivinen P, Laatikainen T. The effect of the integration of health services on health care usage among patients with type 2 diabetes in North Karelia, Finland. BMC Health Serv Res. 2021;21(1):65.PubMedPubMedCentralCrossRef Wikström K, Lamidi M-L, Rautiainen P, Tirkkonen H, Kivinen P, Laatikainen T. The effect of the integration of health services on health care usage among patients with type 2 diabetes in North Karelia, Finland. BMC Health Serv Res. 2021;21(1):65.PubMedPubMedCentralCrossRef
15.
Zurück zum Zitat Keskimäki I, Tynkkynen LK, Reissell E, Koivusalo M, Syrjä V, Vuorenkoski L, Rechel B, Karanikolos M. Finland: Health system review. Health Syst Transit. 2019;21(2):1–166.PubMed Keskimäki I, Tynkkynen LK, Reissell E, Koivusalo M, Syrjä V, Vuorenkoski L, Rechel B, Karanikolos M. Finland: Health system review. Health Syst Transit. 2019;21(2):1–166.PubMed
17.
Zurück zum Zitat EuroQol Group. EuroQol – a new faculty for the measurement of health-related quality of life. Health Policy. 1990;16:199–208.CrossRef EuroQol Group. EuroQol – a new faculty for the measurement of health-related quality of life. Health Policy. 1990;16:199–208.CrossRef
18.
Zurück zum Zitat Scogging JF, Patrick DL. The use of patient-reported outcomes instruments in registered clinical trials. Contemp Clin Trials. 2009;30:289–92.CrossRef Scogging JF, Patrick DL. The use of patient-reported outcomes instruments in registered clinical trials. Contemp Clin Trials. 2009;30:289–92.CrossRef
19.
Zurück zum Zitat Sheikh JI, Yesavage JA. Geriatric Depression Scale (GDS). Recent evidence and development of a shorter version. Clin Gerontology. 1986;5:165–73.CrossRef Sheikh JI, Yesavage JA. Geriatric Depression Scale (GDS). Recent evidence and development of a shorter version. Clin Gerontology. 1986;5:165–73.CrossRef
20.
Zurück zum Zitat Folstein MF, Folstein SE, McHugh PR. “Mini-Mental State”; a practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res. 1975;12:189–98.PubMedCrossRef Folstein MF, Folstein SE, McHugh PR. “Mini-Mental State”; a practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res. 1975;12:189–98.PubMedCrossRef
21.
Zurück zum Zitat Lawton MP, Brody EM. Assessment of older people: self-maintaining and instrumental activities of daily living. Gerontologist. 1968;9:179–86.CrossRef Lawton MP, Brody EM. Assessment of older people: self-maintaining and instrumental activities of daily living. Gerontologist. 1968;9:179–86.CrossRef
22.
Zurück zum Zitat Hicks VL, Stolarczyk LM, Heyward VH, Baumgartner RN. Validation of near-infrared interactance and skinfold methods for estimating body composition of American Indian women. Med Sci Sports Exerc. 2000;32:531–9.PubMedCrossRef Hicks VL, Stolarczyk LM, Heyward VH, Baumgartner RN. Validation of near-infrared interactance and skinfold methods for estimating body composition of American Indian women. Med Sci Sports Exerc. 2000;32:531–9.PubMedCrossRef
23.
Zurück zum Zitat Saunders JB, Asland OG, Babor TF, De La Fuente JR, Grant M. Development of the Alcohol Use Disorders Identification Test (AUDIT): WHO collaborative project on early detection of persons with harmful alcohol consumption-II. Addiction. 1993;88:791–804.PubMedCrossRef Saunders JB, Asland OG, Babor TF, De La Fuente JR, Grant M. Development of the Alcohol Use Disorders Identification Test (AUDIT): WHO collaborative project on early detection of persons with harmful alcohol consumption-II. Addiction. 1993;88:791–804.PubMedCrossRef
24.
Zurück zum Zitat Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987;40:373–83.PubMedCrossRef Charlson ME, Pompei P, Ales KL, MacKenzie CR. A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J Chronic Dis. 1987;40:373–83.PubMedCrossRef
25.
Zurück zum Zitat Skrondal A, Rabe-Hesketh S. Generalized latent variable modeling: multilevel, longitudinal, and structural equation models. Boca Raton, FL: Chapman & Hall/CRC; 2004.CrossRef Skrondal A, Rabe-Hesketh S. Generalized latent variable modeling: multilevel, longitudinal, and structural equation models. Boca Raton, FL: Chapman & Hall/CRC; 2004.CrossRef
26.
Zurück zum Zitat Cameron AC, Trivedi PK. Regression analysis of count data. 2nd ed. New York: Cambridge University Press; 2013.CrossRef Cameron AC, Trivedi PK. Regression analysis of count data. 2nd ed. New York: Cambridge University Press; 2013.CrossRef
27.
Zurück zum Zitat Efron B, Tibshirani RJ. An introduction to the bootstrap. New York: Chapman & Hall/CRC Press; 1998. Efron B, Tibshirani RJ. An introduction to the bootstrap. New York: Chapman & Hall/CRC Press; 1998.
28.
Zurück zum Zitat American Diabetes Association. Economic cost of diabetes in the U.S. in 2007. Diabetes Care. 2008;31:596–615.CrossRef American Diabetes Association. Economic cost of diabetes in the U.S. in 2007. Diabetes Care. 2008;31:596–615.CrossRef
29.
Zurück zum Zitat Culler SD, Parchman ML, Przybylski M. Factor related to potentially preventable hospitalizations among the eldery. Med Care. 1998;36:804–17.PubMedCrossRef Culler SD, Parchman ML, Przybylski M. Factor related to potentially preventable hospitalizations among the eldery. Med Care. 1998;36:804–17.PubMedCrossRef
30.
Zurück zum Zitat Bo S, Ciccone G, Gancia R, Rosato R, Merletti F, Pagano GF. Patients with type 2 diabetes had higher rates of hospitalization than the general population. J Clin Epidemiol. 2004;57:1196–201.PubMedCrossRef Bo S, Ciccone G, Gancia R, Rosato R, Merletti F, Pagano GF. Patients with type 2 diabetes had higher rates of hospitalization than the general population. J Clin Epidemiol. 2004;57:1196–201.PubMedCrossRef
31.
Zurück zum Zitat Laditka SB, Mastanduni MP, Laditka JN. Health care use of individuals with diabetes in an employer-based insurance population. Arch Intern Med. 2001;161:1301–8.PubMedCrossRef Laditka SB, Mastanduni MP, Laditka JN. Health care use of individuals with diabetes in an employer-based insurance population. Arch Intern Med. 2001;161:1301–8.PubMedCrossRef
32.
Zurück zum Zitat Krop JS, Saudek CD, Weller WE, Powe NR, Shaffer T, Anderson GF. Predicting expenditures for medicare beneficiares with diabetes: a prospective cohort study from 1994 to 1996. Diabetes Care. 1999;22:1660–6.PubMedCrossRef Krop JS, Saudek CD, Weller WE, Powe NR, Shaffer T, Anderson GF. Predicting expenditures for medicare beneficiares with diabetes: a prospective cohort study from 1994 to 1996. Diabetes Care. 1999;22:1660–6.PubMedCrossRef
33.
Zurück zum Zitat Egede LE. Patterns and correlates of emergency department use by individuals with diabetes. Diabetes Care. 2004;27:1748–50.PubMedCrossRef Egede LE. Patterns and correlates of emergency department use by individuals with diabetes. Diabetes Care. 2004;27:1748–50.PubMedCrossRef
34.
Zurück zum Zitat Niskanen L, Hahl J, Haukka J, Leppä E, Miettinen T, Mushnikov V, Sipilä R, Tamminen N, Vattulainen P, Korhonen P. Type 2 diabetes and treatment intensification in primary care in Finland. Acta Diabetol. 2018;55(11):1171–9.PubMedCrossRef Niskanen L, Hahl J, Haukka J, Leppä E, Miettinen T, Mushnikov V, Sipilä R, Tamminen N, Vattulainen P, Korhonen P. Type 2 diabetes and treatment intensification in primary care in Finland. Acta Diabetol. 2018;55(11):1171–9.PubMedCrossRef
35.
Zurück zum Zitat Rautio N, Jokelainen J, Oksa H, Saaristo T, Peltonen M, Niskanen L, Puolijoki H, Vanhala M, Uusitupa M, Keinänen-Kiukaanniemi S, FIN-D2D Study Group. Socioeconomic position and effectiveness of lifestyle intervention in prevention of type 2 diabetes: one-year follow-up of the FIN-D2D project. Scand J Public Health. 2011;39(6):561–70.PubMedCrossRef Rautio N, Jokelainen J, Oksa H, Saaristo T, Peltonen M, Niskanen L, Puolijoki H, Vanhala M, Uusitupa M, Keinänen-Kiukaanniemi S, FIN-D2D Study Group. Socioeconomic position and effectiveness of lifestyle intervention in prevention of type 2 diabetes: one-year follow-up of the FIN-D2D project. Scand J Public Health. 2011;39(6):561–70.PubMedCrossRef
36.
Zurück zum Zitat van Bruggen S, Kasteleyn MJ, Bonten TN, Chavannes NH, Numans ME, Rauh SP. Socioeconomic status is not associated with the delivery of care in people with diabetes but does modify HbA1c levels: an observational cohort study (Elzha-cohort 1). Int J Clin Pract. 2021;75(5):e13962.PubMedCrossRef van Bruggen S, Kasteleyn MJ, Bonten TN, Chavannes NH, Numans ME, Rauh SP. Socioeconomic status is not associated with the delivery of care in people with diabetes but does modify HbA1c levels: an observational cohort study (Elzha-cohort 1). Int J Clin Pract. 2021;75(5):e13962.PubMedCrossRef
37.
Zurück zum Zitat Georgescu V, Green A, Jensen PB, Möller S, Renard E, Mercier G. Primary care visits can reduce the risk of potentially avoidable hospitalizations among persons with diabetes in France. Eur J Public Health. 2020;30(6):1056–61.PubMedCrossRef Georgescu V, Green A, Jensen PB, Möller S, Renard E, Mercier G. Primary care visits can reduce the risk of potentially avoidable hospitalizations among persons with diabetes in France. Eur J Public Health. 2020;30(6):1056–61.PubMedCrossRef
38.
Zurück zum Zitat Tusa N, Kautiainen H, Elfving P, Sinikallio S, Mäntyselkä P. Randomized controlled study of the impact of a participatory patient care plan among primary care patients with common chronic diseases: a one-year follow-up study. BMC Health Serv Res. 2021;21(1):715.PubMedPubMedCentralCrossRef Tusa N, Kautiainen H, Elfving P, Sinikallio S, Mäntyselkä P. Randomized controlled study of the impact of a participatory patient care plan among primary care patients with common chronic diseases: a one-year follow-up study. BMC Health Serv Res. 2021;21(1):715.PubMedPubMedCentralCrossRef
39.
Zurück zum Zitat Aro AK, Karjalainen M, Tiihonen M, Kautiainen H, Saltevo J, Haanpää M, Mäntyselkä P. Glycemic control and health-related quality of life among older home-dwelling primary care patients with diabetes. Prim Care Diabetes. 2017;11(6):577–82.PubMedCrossRef Aro AK, Karjalainen M, Tiihonen M, Kautiainen H, Saltevo J, Haanpää M, Mäntyselkä P. Glycemic control and health-related quality of life among older home-dwelling primary care patients with diabetes. Prim Care Diabetes. 2017;11(6):577–82.PubMedCrossRef
40.
Zurück zum Zitat Heinjoki M, Karjalainen M, Saltevo J, Tiihonen M, Haanpää M, Kautiainen H, Mäntyselkä P. Kidney function and nephrotoxic drug use among older home-dwelling persons with or without diabetes in Finland. BMC Nephrol. 2020;21(1):11.PubMedPubMedCentralCrossRef Heinjoki M, Karjalainen M, Saltevo J, Tiihonen M, Haanpää M, Kautiainen H, Mäntyselkä P. Kidney function and nephrotoxic drug use among older home-dwelling persons with or without diabetes in Finland. BMC Nephrol. 2020;21(1):11.PubMedPubMedCentralCrossRef
Metadaten
Titel
Use of primary health care services among older patients with and without diabetes
verfasst von
Anna-Kaisa Aro
Merja Karjalainen
Miia Tiihonen
Hannu Kautiainen
Juha Saltevo
Maija Haanpää
Pekka Mäntyselkä
Publikationsdatum
01.12.2022
Verlag
BioMed Central
Erschienen in
BMC Primary Care / Ausgabe 1/2022
Elektronische ISSN: 2731-4553
DOI
https://doi.org/10.1186/s12875-022-01844-2

Weitere Artikel der Ausgabe 1/2022

BMC Primary Care 1/2022 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 49 von 100 klinischen Fallbeispielen verschiedener Themenfelder

Mehr erfahren

Bei Herzinsuffizienz muss „Eisenmangel“ neu definiert werden

16.05.2024 Herzinsuffizienz Nachrichten

Bei chronischer Herzinsuffizienz macht es einem internationalen Expertenteam zufolge wenig Sinn, die Diagnose „Eisenmangel“ am Serumferritin festzumachen. Das Team schlägt vor, sich lieber an die Transferrinsättigung zu halten.

ADHS-Medikation erhöht das kardiovaskuläre Risiko

16.05.2024 Herzinsuffizienz Nachrichten

Erwachsene, die Medikamente gegen das Aufmerksamkeitsdefizit-Hyperaktivitätssyndrom einnehmen, laufen offenbar erhöhte Gefahr, an Herzschwäche zu erkranken oder einen Schlaganfall zu erleiden. Es scheint eine Dosis-Wirkungs-Beziehung zu bestehen.

Betalaktam-Allergie: praxisnahes Vorgehen beim Delabeling

16.05.2024 Pädiatrische Allergologie Nachrichten

Die große Mehrheit der vermeintlichen Penicillinallergien sind keine. Da das „Etikett“ Betalaktam-Allergie oft schon in der Kindheit erworben wird, kann ein frühzeitiges Delabeling lebenslange Vorteile bringen. Ein Team von Pädiaterinnen und Pädiatern aus Kanada stellt vor, wie sie dabei vorgehen.

Diabetestechnologie für alle?

15.05.2024 DDG-Jahrestagung 2024 Kongressbericht

Eine verbesserte Stoffwechseleinstellung und höhere Lebensqualität – Diabetestechnologien sollen den Alltag der Patienten erleichtern. Dass CGM, AID & Co. bei Typ-1-Diabetes helfen, ist belegt. Bei Typ-2 gestaltet sich die Sache komplizierter.

Update Allgemeinmedizin

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