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Erschienen in: BMC Musculoskeletal Disorders 1/2019

Open Access 01.12.2019 | Research article

Global management of patients with knee osteoarthritis begins with quality of life assessment: a systematic review

verfasst von: Marianna Vitaloni, Angie Botto-van Bemden, Rosa Maya Sciortino Contreras, Deborah Scotton, Marco Bibas, Maritza Quintero, Jordi Monfort, Xavier Carné, Francisco de Abajo, Elizabeth Oswald, Maria R. Cabot, Marco Matucci, Patrick du Souich, Ingrid Möller, Guy Eakin, Josep Verges

Erschienen in: BMC Musculoskeletal Disorders | Ausgabe 1/2019

Abstract

Background

Knee osteoarthritis (KOA) is a prevalent form of chronic joint disease associated with functional restrictions and pain. Activity limitations negatively impact social connectedness and psychological well-being, reducing the quality of life (QoL) of patients. The purpose of this review is to summarize the existing information on QoL in KOA patients and share the reported individual factors, which may influence it.

Methods

We conducted a systematic review examining the literature up to JAN/2017 available at MEDLINE, EMBASE, Cochrane, and PsycINFO using KOA and QOL related keywords. Inclusion criteria were QOL compared to at least one demographic factor (e.g., age, gender), lifestyle factor (e.g., functional independence), or comorbidity factor (e.g., diabetes, obesity) and a control group. Analytical methods were not considered as part of the original design.

Results

A total of 610 articles were reviewed, of which 62 met inclusion criteria. Instruments used to measure QoL included: SF-36, EQ-5D, KOOS, WHOQOL, HAS, AIMS, NHP and JKOM. All studies reported worse QoL in KOA patients when compared to a control group. When females were compared to males, females reported worse QOL. Obesity as well as lower level of physical activity were reported with lower QoL scores. Knee self-management programs delivered by healthcare professionals improved QoL in patients with KOA. Educational level and higher total mindfulness were reported to improve QoL whereas poverty, psychological distress, depression and lacking familial relationships reduce it. Surgical KOA interventions resulted in good to excellent outcomes generally; although, results varied by age, weight, and depression.

Conclusion

KOA has a substantial impact on QoL. In KOA patients, QoL is also influenced by specific individual factors including gender, body weight, physical activity, mental health, and education. Importantly, education and management programs designed to support KOA patients report improved QoL. QoL data is a valuable tool providing health care professionals with a better comprehension of KOA disease to aid implementation of the most effective management plan.
Hinweise
Marianna Vitaloni and Angie Botto-van Bemden contributed equally to this work.

Supplementary information

Supplementary information accompanies this paper at https://​doi.​org/​10.​1186/​s12891-019-2895-3.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Abkürzungen
CINAHL
Cumulative Index to Nursing and Allied Health Literature
BMI
Body mass index
HAS
Heidelberg Sports Activity Score
HRQL
Health-Related Quality of Life
KOA
Knee Osteoarthritis
OA
Osteoarthritis
QoL
Quality of life
ST
Strengthening training
TKR
Total knee replacement
UKA
Uncompartmentalized knee arthroplasty

Background

Knee Osteoarthritis (KOA) is one of the primary causes of pain and disability worldwide. The pain and disability are associated with functional restrictions, morphological changes in the subchondral bone, articular cartilage degeneration and damage to the surrounding soft tissue [13]. In addition to the structural and functional limitations caused by KOA, pain and disability from KOA also affect social connectedness, relationships and emotional well-being; subsequently, reducing quality of life (QoL) [4]. The goal of treatment has traditionally focused on reducing pain and improving function, yet healthcare providers are increasingly realizing the importance of ensuring implementation of psychosocial support to improve the health and overall well-being of KOA patients. Assessing QoL is an imperative first step in evaluating well-being, disease progression and intervention efficacy [58].
Notably, measurement of QoL in KOA is increasing in research and clinical practice, but it still is not routine [9]. As far as we know, this is the first systematic review summarizing existing studies results reporting QoL in KOA patients combined with individual factors such as demographics (e.g., age, gender), lifestyle (e.g., functional independence), or comorbidities (e.g., diabetes, obesity).
The purpose of this review is to provide an international resource summarizing available studies, which have reported individual factors affecting QoL in KOA patients. Our results aim to prompt incorporation of psychosocial assessment in management strategies. Patient organization representatives designed and executed this summary to prompt routine evaluation of such.

Methods

Search strategy

We identified original articles using electronic searches of MEDLINE, EMBASE, Cochrane and PsycINFO databases. Literature review start date was unrestricted and end date was January 23, 2017. Searches were not limited by language. However, no eligible study was found in non-English languages. The keywords used were “knee osteoarthritis” AND “quality of life” OR “life quality” OR “wellbeing” OR “well-being” OR “short form 36” OR “knee injury and osteoarthritis outcome score” OR “koos” OR “koos-qol” OR “euroqol” OR “assessment of quality of life” OR “qualitymetric” OR “whoqol-100” OR “quality of wellbeing” OR “rosser” OR “osteoarthritis quality of life scale” OR “osteoarthritis knee and hip quality of life” OR “arthritis impact measurement scale” and all shorter forms and variations. The systematic review was conducted following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines [9].

Inclusion and exclusion criteria

An example of the tag flowchart for inclusion and exclusion can be found in online Additional file 1: Figure S1. Only abstracts or articles reporting original data on QoL of KOA patients were included. Inclusion criteria were QoL associated to one or more demographic factors (e.g., age, gender), lifestyle factors (e.g., functional independence), or comorbidity factors (e.g., diabetes, obesity) and compared with a reference population, or control group. The control group was composed of individuals without KOA. There were no other restrictions on the comparison control group. There was no restriction on age, gender, language, or year of publication. Review articles, protocols for clinical trials, commentaries, editorials, proceedings summaries, or instrument development summaries were excluded from this review. Articles that described unspecified knee pain, pre-intervention anterior cruciate ligament repair, hip osteoarthritis (OA), spine OA or any study that combined KOA patients with other cohorts of patients and did not collect, analyse, or report KOA-specific data separately (e.g., a population defined as “hip or KOA” or “hip and/or KOA”) were also excluded. Three reviewers independently assessed each reference against pre-specified inclusion and exclusion criteria using a two-stage process: first, titles and abstracts, and, second, full-text articles. Any queries were resolved during a consensus meeting.

Data extraction

A single reviewer, using a pre-piloted extraction form, obtained the data for each eligible article. Study characteristics including publication details (author and year), participant characteristics (age, sex, body mass index [BMI] and number of participants in each group), instruments, treatments applied in the intervention and control groups, and a summary of main findings were extracted from each included study for subsequent review amongst all three reviewers.

Quality appraisal

The quality assessment of each article was based on a modified version of the Cochrane quality appraisal tool [10]. The individual assessment criteria are presented in Fig. 1. Strength of consistency between raters was not scored yet individual and average quality assessment results are included in online Additional file 2. One point was allocated for each of the 13 quality appraisal criteria. The maximum score was 13 (indicating high quality), with the lowest possible score being zero. The methodological quality of each study was rated as low (0–4 points), moderate (5–9 points), or high (10–13 points).

Results

Literature search results

A total of 9143 articles were initially identified (Fig. 2); 4863 articles from EMBASE, 2792 from PubMed, 1279 from Cochrane and 209 from PsycINFO. A total of 610 articles were selected after initial title and abstract screening. After manual searches, full text review and removal of duplicates, 62 articles were included for final data extraction. Studies were labelled by first author and year of publication (Table 1). Year of publication ranged from 1995 to 2017.
Table 1
Overview of studies reporting QoL in patients with KOA
References
Country
Study design
QoL instrument
Total Sample Size
Control Population
KOA Patients
Mean age
Gender Distribution
Cuzdan, 2017 [11]
Turkey
Cross-Sectional
SF-36
85
25
60
65.79
Knee OA: 57 female; 3 male
Control: 13 female; 12 male
Elbaz, 2017 [12]
Israel
Prospective observational
SF-36
93
30
63
64.2
Knee OA: 41 female; 22 male
Control: 9 female; 21 male
Lee, 2017 [13]
USA
Cross-Sectional
SF-36
120
40
80
60.3
Knee OA: 61 female; 19 male
Control: NA
Rundell, 2017 [14]
USA
Prospective
EQ-5D
5155
4711
368
75.3
Knee OA: 272 female; 96 male
Control 3017 female; 1694 male
Wright, 2017 [15]
Australia
Cross-Sectional
SF-36
120
40
80
64
Knee OA: 44 female; 36 male
Araujo, 2016 [16]
Brazil
Cross-Sectional
SF-12
93
 
93
60
Knee OA: 69 female; 24 male
Control: 24 female; 16 male
Bokaeian, 2016 [17]
Iran
Randomized clinical trial
WOMAC
28
 
28
52.9
Knee OA: 25 female; 2 male
Cho, 2016 [18]
Republic of Korea
Prospective cohort study
SF-36
681
  
71.9
Knee OA: 383 female; 298 male
Kaban, 2016 [19]
Turkey
Cross-Sectional
SF-36
63
21
42
56.86
All female
Gomes-Neto, 2016 [20]
Brazil
Cross-Sectional
SF-36
35
 
35
66.57
Knee OA: 29 female; 6 male
Khatib, 2016 [21]
Australia
Cross-Sectional
Tot. EQ (adjusted from EQ-5D-5L)
2809
 
2809
68
Knee OA: 1740 female; 1069 male
Kiadaliri, 2016 [22]
Sweden
Population based cohort study
EQ-5D
1501
744
402
71.5
Group 1 (reference group having neither knee pain nor radiographic or clinically-defined knee OA) 469 female; 275 male
Group 2 (knee pain with-out OA) 119 female; 50 male
Group 3 (kne epain with OA) 256 female; 146 male
Kiadaliri, 2016 [23]a
Sweden
Retrospective
EQ-5D
First stage 7402; Second stage 1527
 
The number of people diagnosis with knee OA is not specified
69.4
First stage 4604 female; 2798 male
Second stage 977 female; 550 male
Oishi, 2016 [24]
Japan
Cross-Sectional
KOOS
963
 
397
54.33
Total: 595 female; 368 male
Knee OA: 299 female; 98 male
Sarumathy, 2016 [25]
India
Prospective study
SF-36
74
 
74
51.7
Knee OA: 55 female; 19 male
Cavalcante, 2015 [26]
Brazil
Cross-Sectional
WHOQOL
90
40
50
67
All female
Fang, 2015 [27]
Taiwan
Population based
study
SF-12
901
441
460
74.04
Total: 492 female; 409 male
Knee OA: 232 female; 209 male
Ferreira, 2015 [28]
Brazil
Cross-Sectional
SF-36
75
35
40
68.36
All female
Kawano, 2015 [29]
Brazil
Cross-Sectional
SF-36
93
 
93
61.2
Knee OA: 69 females; 24 male
Kim, 2015 [30]
Korea
Cross-Sectional
EQ-5D
2165
 
2165
67.73
Knee OA: 1458 female; 707 male
Lee, 2015 [31]
South Korea
Cross-Sectional
EQ-5D
7977
 
7977
61.5
Knee OA: 5448 female; 4064 male
Pang, 2015 [32]
China
Cross-Sectional
SF-36
466
 
466
56.56
Knee OA: 382 female; 84 male
Rakel, 2015 [33]
USA
Cross-Sectional
SF-36
100
25
75
56
Knee OA: 46 female; 29 male
Control: 15 female; 10 male
Reid, 2015 [34]
USA
Randomized controlled trial
SF-36
190
 
190
60.2
Knee OA: 132 female; 58 male
Tsonga, 2015 [35]
Greece
Longitudinal
SF-36
68
 
68
73
Knee OA: 57 female; 11 male
Visser, 2015 [36]
Netherlands
Cross-Sectional
SF-36
1262
1060
205
56
Total: 707 female; 578 male
Knee OA: 125 female; 80 male
Control: 583 female; 477 male
Alburquerque-garcía, 2015 [37]
Spain
Cross-Sectional
SF-36
36
18
18
85
All female
Alkan, 2014 [38]
Turkey
Cross-Sectional
SF-36
152
40
112
60
Knee OA: 85 female; 27 male
Control: 30 female 10 male
Forkel, 2014 [39]
Germany
Cross-Sectional
KOOS
22
 
22
47
Knee OA: 17 female; 6 male
Jahnke, 2014 [40]
Germany
Cross-Sectional
HAS
159
 
159
63.5
Knee OA: 75 female; 84 male
Marks, 2014 [41]
USA
Cross-Sectional
AIMS
21
 
21
70.8
All female
Pérez-Prieto, 2014 [42]
Spain
Prospective cohort study
SF-36
716
 
716
72
Knee OA: 421 female; 295 male
Reis, 2014 [43]
Brazil
Cross-Sectional
WHOQOL
12
 
12
67.25
All female
Alentorn, 2013 [44]
Spain
Cross-Sectional
SF-36
391
 
391
70.7
Knee OA: 303 female; 89 male
Clement, 2013 [45]
UK
Cross-Sectional
SF-12
996
 
996
70.32
Knee OA: 545 female; 421 male
Vulcano, 2013 [46]
USA
Prospective cohort study
SF-36
4732
 
4732
66.88
Knee OA: 2881 female; 1851 male
Williams, 2013 [47]
UK
Cross-Sectional
EQ-5D
2456
 
2456
71.4
Knee OA: 1494 female; 962 male
Coleman, 2012 [48]
Australia
Cross-Sectional
SF-36
146
 
146
65
Knee OA: 109 female; 37 male
Gonçalves, 2012 [49]
Portugal
Cross-Sectional
SF-36
136
 
136
67.2
Knee OA: 94 female; 42 male
Lim, 2012 [50]
Philippine
Cross-Sectional
WOMAC
90
  
70.14
Knee OA: 68 female; 22 male
Elbaz, 2011 [51]
Israel
Cross-Sectional
SF-36
1487
 
1487
61.9
Knee OA: 950 female; 537 male
Gonçalves, 2011 [52]
Portugal
Cross-Sectional
KOOS
377
 
377
67.8
Knee OA: 282 females; 95 males
Norimatsu, 2011 [53]
Japan
Prospective population-based cohort study
Japanese Knee Osteoarthritis Measure (JKOM)
333
 
333
64.2
All female
Ozcakir, 2011 [54]
Turkey
Cross-Sectional
NHP
100
 
100
59.5
Knee OA: 83 female; 17 male
Paker, 2011 [55]
Turkey
Cross-Sectional
SF-36
75
 
75
66.1
All female
Foroughi, 2010 [56]
Australia
Cross-Sectional
SF-36
17
 
17
66
All female
Jenkins, 2010 [57]
USA
Cross-Sectional
QLI-A
75
 
75
69
Knee OA: 57 female; 18 male
Kim, 2010 [58]
Korea
Prospective cohort study
WOMAC
504
 
504
70.2
Knee OA: 274 female; 230 male
Muraki, 2010 [59]
Japan
Cross-Sectional
SF-8
2126
 
2126
68.9
Knee OA: 1359 female; 767 male
Watanabe, 2010 [60]
Japan
Cross-Sectional
Japanese Knee Osteoarthritis Measure (JKOM)
18
 
18
67
All female
Yildiz, 2010 [61]
Turkey
Cross-Sectional
NHP
140
 
140
59.39
Knee OA: 104 females; 36 males
Debi, 2009 [62]
Israel
Cross-Sectional
SF-36
134
  
66.95
Knee OA: 85 females; 49 males
Imamura, 2008 [63]
Brazil
Cross-Sectional
SF-36
84
22
62
71.1
All female
Control 68.95
Liikavainio, 2008 [64]
Finland
Cross-Sectional
RAND-36
107
53
54
59
All male
Control 59.24
Wang, 2008 [65]
Germany
Cross-Sectional
SF-36
1009
 
1009
48.5
Knee OA: 620 female; 389 male
Nunez, 2007 [66]
Spain
Cross-Sectional
SF-36
100
 
100
71.2
Knee OA: 71 female; 29 male
Salaffi, 2005 [67]
Italy
Cross-Sectional
SF-36
264
 
KneeOA 108
65.7
Knee OA: 64 female; 44 male
Knee OA + Hip OA 51
Knee OA + Hip OA: 32 female; 19 male
Chacón, 2004 [68]
Venezuela
Cross-Sectional
AIMS
126
 
126
64
Knee OA: 106 female; 20 male
Lam, 2000 [69]
China
Cross-Sectional case–control study
COOP/WONCA
760
 
760
57.6
Knee OA: 538 female; 222 male
de Leeuw, 1998 [70]
UK
Prospective trial
Rosser Index Matrix
101
 
101
71.5
Knee OA: 62 female; 39 male
Donnell, 1998 [71]
France
Cross-Sectional
Rosser Index Matrix
221
 
221
No specified
Knee OA: 174 female; 47 male
Ries, 1995 [72]
USA
Cross-Sectional
AIMS
47
 
47
69.2
Knee OA: 44 female; 3 male
SF-36/SF-12/SF-8 (n=34); EQ-5D (n=6); KOOS (n=3); AIMS(n=3); WOMAC(n=3); Rossser Index matrix (n=2); NHP (n=2);JKOM(n=2); WHOQOL(n=2);COOP/WONCA (n=1); HAS(n=1); RAND-36(n=1)
aNot possible to add this article in gender calculation

Characteristics of included studies

Most of the studies were conducted in Europe (n = 20), followed by the North, Central and South America (n = 16), Asia (n = 12) and other (n = 14). The 74% (n = 46) of studies were cross-sectional in design, followed by other designs comprising 6% (n = 4) prospective cohorts, 5% (n = 3) prospective, 3% (n = 2) randomized controls trials, (n = 1) population based cohorts, (n = 1) retrospective, etc. The main instruments used to assess QoL were the SF-36 (n = 31) followed by EQ-5D (n = 6) (Table 1). The results from the quality appraisal tool had all articles scoring moderate to high quality scores; no study scored lower than 8 points. Four (6%) of the articles [25, 28, 54, 60] were classified as moderate quality, with the remaining 58 (94%) articles classified as having high quality [1124, 26, 27, 2953, 5559, 6172].

Characteristics of participants

The total KOA population was 24,706 of which 93.4% (n = 23,079) were female [1172]. 11 articles included only females [19, 26, 28, 37, 41, 43, 53, 55, 56, 60, 63] and one article included only males [64]. When the male and female only articles were removed, the total KOA population still comprised 93.8% female. The mean number of KOA patients per study was 560, with sample size varying between 12 [43] and 7977 [31] and the median number was 101. The mean age across all studies was 65 years (range 47 to 85) and 68.2 (range 56.9 to 71.1) years for those studies including only females [19, 26, 28, 37, 41, 43, 53, 55, 56, 60, 63] and 50 (range 50 to 69) for the one study enrolling only males (Table 1) [64].

QoL in patients with KOA versus reference populations

Studies reported worse QoL for the KOA group, regardless of measurement used to assess QoL [12, 14, 22, 28, 31, 33, 38, 46, 53, 60, 61, 63, 6567, 69]. Lower QoL scores were mostly reported with increasing age [25, 26, 32, 35, 44, 53] yet Jenkins reported higher QoL in older patients [57]. When QoL scores were compared based on gender, females with KOA reported worse QoL scores and psychosocial variables [49, 58, 66]. In online Additional file 3: Table S1 additional results are presented for studies comparing QoL of KOA patients with a reference population by instrument.

QoL and healthy weight

Weight was reported as effecting QoL in KOA patients [11, 20, 46, 67, 70]. Vulcano, Elbaz and Visser reported a higher BMI aggravated KOA patient symptoms [11, 46, 51]. Gomez-Neto found a negative impact on functional capacity in obese KOA patients; however, found no difference reported in QoL [20]. de Leeuw, reported that the median pre-operative QoL scores for obese patients were significantly lower than for non-obese [70].

QoL and Physical Activity

Calvacante et al. found that KOA in older women can promote a decline in time spent performing physical activity and functional fitness with decline in QoL and an increase in sitting time [26]. Wantanabe, reported reduced physical activity resulted in worse QoL and also reported too much physical activity may exacerbate the development of KOA [60]. Strength training (ST) had a positive effect in KOA patients [17]. Reid found that muscle power is an independent determinant of QoL in KOA [34].

QoL and educational programs

Coleman evaluated a self-management educational program delivered by health care professionals, reporting an improved QoL in KOA patients assessed at 8 weeks and 6 months based on WOMAC and SF-36 measures [48].

QoL and psychosocial factors

Higher educational level and higher total mindfulness scores were reported to improve patients’ perception of QoL [13, 23, 28]. Alkan et al. reported that approximately 70% of the study participants had low-middle education, resulting in poor QoL in this group [38]. Another study reported lower Health-Related Quality of Life (HRQL) scores for KOA females with chronic physical or mental health conditions [62]. Poverty also worsened QoL in KOA patients [45]. Psychological distress and depression worsened QoL [23, 28, 42, 54]. Patients lacking familial relationships reported worse QoL [50].

QoL and surgical interventions

The majority of QoL findings with surgical intervention were reported as dependents of demographic variables, which showed an effect on QoL after surgical outcomes. Williams et al. [47], for example, reported that patient satisfaction was lower among patients younger than 55 years of age compared to older patients. Vulcano, reported a higher BMI was associated with worse outcomes [46]. Perez-Prieto, reported patients with depression had less improvement that non-depressed patients after surgical intervention, reporting lower QoL scores [42]. Lower socioeconomic groups undergoing surgical intervention also reported worse QoL [45]. Patients participating in sports pre- and post- surgical intervention reported higher QoL scores [40].

Discussion

This systematic review aimed to broaden the amount of QoL data available for summarizing, using less stringent search criteria; for example, inclusion of articles irrespective of QoL being the primary endpoint. This review included surgical and non-surgical data including QoL measurement.
The broad search strategy identified 62 articles as reporting information on QoL associated to one other factor (demographic, lifestyle, or comorbidity) between KOA patients and control patients. Article details are presented in Table 1. The quality appraisal tool revealed all studies as moderate to high quality yet caution should be taken in the interpretation of findings, as this tool may not discern scientific & analytic rigour assessing QoL but scores prioritizing criteria description. For example, describing sample size, potential biases, etc. would be sufficient to permit a high score even with low analytic rigour.
It is well known that patient characteristics influence QoL. In this summary, increasing age showed worse QoL in most studies; however, in an older age group of KOA patients awaiting total knee replacement better QoL scores were reported [57]. This was a convenience sample with predominantly married, white females in a higher socioeconomic class which may have biased the results for higher QoL scores. Notably, prior reports have demonstrated that younger populations have higher expectations in terms of QoL as they expect to perform better on many activities of daily living, work and recreation [73]. It is also known that gender effects QoL in KOA patients, as reported here in a prospective aging cohort study by Kim et al. [58] the percentage of males and females were similar. Females reported worse QoL than males with KOA and females had significantly higher risk for belonging to the worst quartile for all WOMAC subscales compared to males regardless of KOA presence after adjustment of age, BMI and OA severity. Goncalves reported similar results in most SF-36 subscales [49]. Most studies in this summary comprised an above average percentage of females beyond KOA population norms which may have revealed bias toward lower QoL scores if a risk assessment for bias had been performed.
Similar to recent reports, lifestyle factors and common social determinants of health, such as unhealthy weight, low physical activity, low socioeconomic and education levels were found to have a negative impact on QoL in KOA patients [20, 38, 45, 60]. Understandably quantitative data is lacking in this summary, yet qualitative summaries and recent quantitative reports emphasize the importance of assessing these factors and implementing a whole person approach to healthcare. Health promotion and self-management strategies addressing unhealthy weight and low levels of physical activity may improve QoL. Obesity data highlights a gap and opportunity to improve KOA QoL scores by incorporating dietary guidelines and nutritional education [20, 74]. Programs where patients participate in education and supervised exercise delivered by trained physiotherapists can improve physical activity and QoL. Moreover, exercise therapy may postpone total joint replacement in patients with OA [75]. Low educational level increases the chance of having OA, and results in decreases in patients’ self-perception of QoL [76]. This relationship between education and the socioeconomic level is well recognized as individuals with lower education levels are generally relegated to manual or repetitive occupational activities increasing their risk of OA.
QoL is a powerful indicator to consider when implementing and evaluating OA management programs. QoL is best monitored and reassessed in the short and long term to ensure effectiveness of interventions. Available data on QoL interventions can be customized considering individual characteristics to improve the factors open to modulation such as weight, physical activity, emotional health and social connectedness. Management strategies may be optimized by adapting to patient-specific needs with a multimodal personalized OA management plan grounded on evidence-based therapies for whole person care.

Limitations

There are limitations to acknowledge and use as opportunities to improve quality of future OA research and reporting to have a more meaningful impact for OA patients. The database search did not include SPORTDiscus or Cumulative Index to Nursing and Allied Health Literature (CINAHL) which may have provided additional QoL study data, particularly assessing QoL related to healthy weight, physical activity, educational and psychosocial factors. The search was limited to 2017 and additional studies may have been published thereafter reporting on QoL in KOA patients. Caution should be used when interpreting these findings, as studies were included which may not have been scientifically rigorous upon review, yet methodological reporting sufficed to meet the data extraction criteria. For example, a moderate to high score could be obtained for providing an adequate description of most criteria even if the sample size and statistical methods weren’t methodologically and analytically rigorous. Articles were included whether power analysis was performed on QoL as the primary outcome or not; thus, sample size may not have been sufficient to find differences when not powered for QoL as the primary outcome. Risk of bias was not calculated. The methodological heterogeneity of the studies limited unbiased comparisons and quantitative syntheses was not permissible.

Conclusion

KOA studies routinely include pain and function scores yet haven’t routinely included psychosocial variables assessing QoL, which also influences how patients feel, function, and survive [77]. Unfortunately, there is no consensus on the core domains of QoL. Ensuring a standard QoL assessment is implemented, as routine care globally is imperative for healthcare professionals to gain a better understanding of OA disease whilst ensuring most optimal management.
This study was coordinated by patient organizations and previously promoted at the 2019 OARSI Annual Meeting advocating for routine assessment and on-going evaluation of QoL with implementation of a single agreed upon QoL measure [78]. Future KOA QoL research should combine efforts globally and focus on consistent quantitative and qualitative measures for more meaningful impact and interpretation.

Supplementary information

Supplementary information accompanies this paper at https://​doi.​org/​10.​1186/​s12891-019-2895-3.

Acknowledgments

We would like to thank all the patients and volunteers who collaborate and continually support the activity and mission of our organizations.
Not applicable.
Not applicable.

Competing interests

Dr. Möller declares to be a member of the editorial board of this journal.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://​creativecommons.​org/​licenses/​by/​4.​0/​), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
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Metadaten
Titel
Global management of patients with knee osteoarthritis begins with quality of life assessment: a systematic review
verfasst von
Marianna Vitaloni
Angie Botto-van Bemden
Rosa Maya Sciortino Contreras
Deborah Scotton
Marco Bibas
Maritza Quintero
Jordi Monfort
Xavier Carné
Francisco de Abajo
Elizabeth Oswald
Maria R. Cabot
Marco Matucci
Patrick du Souich
Ingrid Möller
Guy Eakin
Josep Verges
Publikationsdatum
01.12.2019
Verlag
BioMed Central
Erschienen in
BMC Musculoskeletal Disorders / Ausgabe 1/2019
Elektronische ISSN: 1471-2474
DOI
https://doi.org/10.1186/s12891-019-2895-3

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