Estimating the Prevalence of Knee Pain and the Association between Illness Perception Profiles and Self-Management Strategies in the Frederiksberg Cohort of Elderly Individuals with Knee Pain: A Cross-Sectional Study

Ginnerup-Nielsen, Elisabeth; Christensen, Robin; Heitmann, Berit Lilienthal; Altman, Roy D.; March, Lyn; Woolf, Anthony D.; Bliddal, Henning; Henriksen, Marius

doi:10.3390/jcm10040668

Cited by 9 publications

(12 citation statements)

References 63 publications

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“…Lastly, a study examining the prevalence and impact of knee pain among 60- to 69-year-olds living in Copenhagen had a response rate of 52%, which is higher than ours of 42%. 17 …”

Section: Discussionmentioning

confidence: 99%

The Danish Diabetes Musculoskeletal Cohort: Non-Responder Analysis of an Electronic Survey Using Registry Data

Boyle¹,

Folkestad²,

Frafjord³

et al. 2021

CLEP

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Purpose To conduct a non-responder analysis on a musculoskeletal (MSK) electronic questionnaire. Methods Individuals aged 18 years and older, diagnosed with diabetes mellitus (DM), and attended an ambulatory DM clinic formed the sample frame. They were invited to complete an electronic musculoskeletal (MSK) conditions and symptoms questionnaire booklet using a secured electronic email system. Individuals whose secured email box was not active at the time were discarded. Using the Central Person Registry number, a unique number assigned to all Danish residents, we linked the sample frame to different registries to learn more about non-responders. Non-responders were either individuals who did not respond to a single question and those who responded “No” to the first question about willing to participate. We calculated descriptive statistics for each characteristic. Univariate logistic regression models were conducted to determine the relationship between each characteristic and non-responder status. Results The response rate was 36% (n = 3812). Individuals with type 2 DM (OR 2.0 (95% CI 1.8–2.2)), secondary DM (1.9 (1.3–2.8)) or unspecified DM (2.1 (1.8–2.4)) were more likely to be non-responders than individuals with Type 1 DM. Also, individuals aged 70–79 (1.3 (1.1–1.6)) and 80 years and older (5.9 (4.5–7.7)) were more likely to be non-responders than 18–29 years old individuals. However, individuals aged 40–49 (1.5 (1.2–1.8)), 50–59 (1.5 (1.3–1.8)) or 60–69 (1.4 (1.1–1.6)) were more likely to be responders than 18–29 years old individuals. Individuals with Charlson Comorbidity Index (CCI) of 1 (2.0 (1.3.2.9) or CCI of 2 (1.7 (1.1–2.5) were more likely to be responders than individuals with a CCI of 0. Lastly, individuals who were currently outside of the workforce (1.6 (2.4–2.9) or had unknown/missing socioeconomic status (3.9 (2.8–5.3) were more likely to be non-responders than individuals who were working. Conclusion Although we did find a non-response bias, this cohort will be an important source to determine the prevalence and consequences of MSK conditions in a secondary care DM population.

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“…Lastly, a study examining the prevalence and impact of knee pain among 60- to 69-year-olds living in Copenhagen had a response rate of 52%, which is higher than ours of 42%. 17 …”

Section: Discussionmentioning

confidence: 99%

The Danish Diabetes Musculoskeletal Cohort: Non-Responder Analysis of an Electronic Survey Using Registry Data

Boyle¹,

Folkestad²,

Frafjord³

et al. 2021

CLEP

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“…32 Other Danish surveys that have approached patients by use of the e-Boks system have reported response rates in the range of 36%-54%. [33][34][35] The high Epidemiology Epidemiology Epidemiology uptake should be seen in the light of several motivating factors: most patients were accustomed to the DANBIO infrastructure including the concept of contributing PROs as part of routine care. 5 25 Thus, 77% of patients with established RA had at least one registration of PROs in 2019.…”

Section: Discussionmentioning

confidence: 99%

Nationwide, large-scale implementation of an online system for remote entry of patient-reported outcomes in rheumatology: characteristics of users and non-users and time to first entry

et al. 2022

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AimsIn May 2020, a nationwide, web-based system for remote entry of patient-reported outcomes (PROs) in inflammatory rheumatic diseases was launched and implemented in routine care (DANBIO-from-home). After 1.5 years of use, we explored clinical characteristics of patients who did versus did not use the system, and the time to first entry of PROs.MethodsAll patients followed in DANBIO were informed about DANBIO-from-home by electronic invitations or when attending their clinic. Characteristics of patients who did/did not use DANBIO-from-home in the period after implementation were explored by multivariable logistic regression analyses including demographic and clinical variables (gender, age group, diagnosis, disease duration, use of biological disease-modifying agent (bDMARD), Health Assessment Questionnaire (HAQ), Patient Acceptable Symptom Scale (PASS)). Time from launch to first entry was presented as cumulative incidence curves by age group (<40/40–60/61–80/>80 years).ResultsOf 33 776 patients, 68% entered PROs using DANBIO-from-home at least once. Median (IQR) time to first entry was 27 (11–152) days. Factors associated with data entry in multivariate analyses (OR (95% CI)) were: female gender (1.19 (1.12 to 1.27)), bDMARD treatment (1.41 (1.33 to 1.50)), age 40–60 years (1.79 (1.63 to 1.97)), 61–80 years (1.87 (1.70 to 2.07), or age >80 years (0.57 (0.50 to 0.65)) (reference: age <40 years), lower HAQ (0.68 (0.65 to 0.71)) and PASS ‘no’ (1.09 (1.02 to 1.17). Diagnosis was not associated. Time to first entry of PROs was longest in patients <40 years of age (119 (24–184) days) and shortest in the 61–80 years age group (25 (8–139) days).ConclusionA nationwide online platform for PRO in rheumatology achieved widespread use. Higher age, male gender, conventional treatment and disability were associated with no use.

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“…Data were collected via REDCap, as previously described in Ginnerup-Nielsen et al (2021) . To minimize the risk of incorrect use and false (double) responses, the survey was sent through the public “Digital Post” system (electronic mailbox for letters from Danish authorities) administered by an online platform “e-Boks” ( e Boks, 2021 ), linked to the individual’s personal identification number.…”

Section: Methodsmentioning

confidence: 99%

“…To investigate how eventual IP based profiles would differ in terms of LBP intensity, QoL and use of treatments, a cluster analysis (CA) based on the B-IPQ-item scores was performed and the distribution of users of pharmacological or non-pharmacological treatments as well as the levels of pain intensity and QoL (EQ-5D and EQ-VAS) in the resulting clusters were explored. The CA was performed using the 2-step procedure recommended by Clatworthy et al (2007) and described in Ginnerup-Nielsen et al (2021) . First, we performed a hierarchical analysis using Ward’s method with squared Euclidean Distance based on a reformed agglomeration schedule to determine the optimal number of clusters, then, we used the centroids and the number of clusters from the analysis as a starting point in a K-means CA.…”

Section: Methodsmentioning

confidence: 99%

“…Being related to coping, it appears likely that perceptions could influence choices of management, however, study results are ambiguous concerning this relation. Thus, while some studies have found that people perceiving their condition as a threat, are more likely to adhere to treatments ( Frostholm et al, 2005 ; Ginnerup-Nielsen et al, 2021 ; Patel & Taylor, 2002 ). Bishop et al (2017) found, in 324 patients receiving acupuncture for low back pain, that perceptions of LBP causing many severe symptoms ( e.g.…”

Section: Introductionmentioning

confidence: 99%

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The correlation between illness perception, pain intensity and quality of life in elderly with low back pain in Denmark: a cross-sectional study

Ginnerup-Nielsen

Harreby

Christensen

et al. 2022

PeerJ

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Background Illness perception is related to management patterns and pain intensity, but among elderly with low back pain, this relation is unclear. The aims of this study were to analyse the associations between illness perception, pain intensity and health related quality of life in a group of elderly with low back pain and explore how different illness perception profiles would cluster and differ in terms of pain, quality of life and choice of management. Method This was a cross-sectional survey based on a cohort of originally 640 Danish children. Of the 311 respondents in 2019, 69% reported low back pain within last year and were included. Associations between illness perceptions (Brief illness perception questionnaire), health related quality of life (EuroQol-5 Domain-3L) and low back pain intensity were assessed, and participants were clustered based on their perceptions using hierarchical and K-means cluster analysis. Cluster differences in pain, quality of life and use of pharmacological and non-pharmacological treatments were explored. Results Among the 213 individuals with low back pain, 33% reported severe or fluctuating pain intensity. Higher pain intensity was associated with perceiving low back pain as a greater threat. Participants reporting fluctuating pain perceived their low back pain almost as threatening as participants reporting severe pain. Two clusters were identified. Cluster 1 reported lower quality of life (difference in medians: −0.176 (95% CI [−0.233–−0.119 ])) and was more likely to report severe or fluctuating pain (37.7% vs. 4.5% [P < 0.0001]) and to use pharmacological treatments than Cluster 2 (37.7% vs. 14.9% [P < 0.001]). No association was found between clusters concerning use of non-pharmacological treatments (P = 0.134). Conclusion Based on illness perceptions, two clusters differing in pain intensity, quality of life and use of pharmacological treatments were identified. Targeting illness perceptions may be beneficial during rehabilitation or when guiding patients with low back pain in choice of management.

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Estimating the Prevalence of Knee Pain and the Association between Illness Perception Profiles and Self-Management Strategies in the Frederiksberg Cohort of Elderly Individuals with Knee Pain: A Cross-Sectional Study

Cited by 9 publications

References 63 publications

The Danish Diabetes Musculoskeletal Cohort: Non-Responder Analysis of an Electronic Survey Using Registry Data

The Danish Diabetes Musculoskeletal Cohort: Non-Responder Analysis of an Electronic Survey Using Registry Data

Nationwide, large-scale implementation of an online system for remote entry of patient-reported outcomes in rheumatology: characteristics of users and non-users and time to first entry

The correlation between illness perception, pain intensity and quality of life in elderly with low back pain in Denmark: a cross-sectional study

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