ArticleRheumatology (Oxford, England)2021
Estimating the population health burden of musculoskeletal conditions using primary care electronic health records.
Article in Rheumatology (Oxford, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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The trial behind it
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.
- Interventions to safely and effectively reduce (taper) use of opioids in chronic non-cancer pain: a systematic review.Health technology assessment (Winchester, England) · 2026Pooled it
- "Cooperation between physicians and physios fosters trust you know": a qualitative study exploring patients' experience with first-contact physiotherapy for low back pain in French primary care.BMC primary care · 2024Article
- A cross-sectional observational study comparing individuals with a symptomatic full-thickness rotator cuff tear with age-matched controls.JSES international · 2024Article
- International Society for the Advancement of Spine Surgery Statement: Restorative Neurostimulation for Chronic Mechanical Low Back Pain Resulting From Neuromuscular Instability.International journal of spine surgery · 2023Article
- Use of electronic patient records and encrypted email patient communication among Swiss chiropractors: a population-based cross-sectional study.Chiropractic & manual therapies · 2023Article
- Estimating disease burden using national linked electronic health records: a study using an English population-based cohort.Wellcome open research · 2023Article
- Acceptability of a task sharing and shifting model between family physicians and physiotherapists in French multidisciplinary primary healthcare centres: a cross-sectional survey.Family medicine and community health · 2022Article
Corrections and comments
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Authors and funding
16 authors at 3 institutions in 1 country.
Funding
Abstract
objectivesBetter indicators from affordable, sustainable data sources are needed to monitor population burden of musculoskeletal conditions. We propose five indicators of musculoskeletal health and assessed if routinely available primary care electronic health records (EHR) can estimate population levels in musculoskeletal consulters.
methodsWe collected validated patient-reported measures of pain experience, function and health status through a local survey of adults (≥35 years) presenting to English general practices over 12 months for low back pain, shoulder pain, osteoarthritis and other regional musculoskeletal disorders. Using EHR data we derived and validated models for estimating population levels of five self-reported indicators: prevalence of high impact chronic pain, overall musculoskeletal health (based on Musculoskeletal Health Questionnaire), quality of life (based on EuroQoL health utility measure), and prevalence of moderate-to-severe low back pain and moderate-to-severe shoulder pain. We applied models to a national EHR database (Clinical Practice Research Datalink) to obtain national estimates of each indicator for three successive years.
resultsThe optimal models included recorded demographics, deprivation, consultation frequency, analgesic and antidepressant prescriptions, and multimorbidity. Applying models to national EHR, we estimated that 31.9% of adults (≥35 years) presenting with non-inflammatory musculoskeletal disorders in England in 2016/17 experienced high impact chronic pain. Estimated population health levels were worse in women, older aged and those in the most deprived neighbourhoods, and changed little over 3 years.
conclusionNational and subnational estimates for a range of subjective indicators of non-inflammatory musculoskeletal health conditions can be obtained using information from routine electronic health records.
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