Background To evaluate intermediate care for knee and hip osteoarthritis (KHOA) in the general practice that incorporate specialist services into general practice to prevent unnecessary referrals to hospitals. Methods We used a mixed methods approach including semi-structured interviews, patient experience questionnaires and data from medical records from three intermediate care projects. Semi-structured interviews were conducted with patients, general practitioners (GPs), orthopaedists and a healthcare manager in intermediate care. Satisfaction of patients who received intermediate care (n = 100) was collected using questionnaires. Referral data and healthcare consumption from medical records were collected retrospectively from KHOA patients before (n = 96) and after (n = 208) the implementation of intermediate care. Results GPs and orthopaedists in intermediate care experienced more intensive collaboration compared to regular care. This led to a perceived increase in GPs’ knowledge enabling better selection of referrals to orthopaedics and less healthcare consumption. Orthopaedists felt a higher workload and limited access to diagnostic facilities. Patients were satisfied and experienced better access to specialists’ knowledge in a trusted environment compared to regular care. Referrals to physiotherapy increased significantly after the implementation of intermediate care (absolute difference = 15%; 95% CI = 7.19 to 22.8), but not significantly to orthopaedics (absolute difference = 5.9%; 95% CI = -6.18 to 17.9). Conclusions Orthopaedists and GPs perceived the benefits of an intensified collaboration in intermediate care. Intermediate care may contribute to high quality of care through more physiotherapy referrals. Further research with longer follow-up is needed to confirm these findings and give more insight in referrals and healthcare consumption.
Objective: To evaluate the effect of exercise programs on reduction of musculoskeletal injury (MSI) risk in military populations. Design: Systematic review and meta-analysis. Literature Survey: A database search was conducted in PubMed/MEDLINE, EMBASE, Cochrane Library, CINAHL, SPORTdiscus, WHO International Clinical Trials Registry Platform Search Portal, Open Gray, National Technical Reports Library, and reference lists of included articles up to July 2019. Randomized and cluster-randomized controlled trials evaluating exercise programs as preventive interventions for MSIs in armed forces compared to other exercise programs or to usual practice were eligible for inclusion. Methodology: Two authors independently assessed risk of bias and extracted data. Data were adjusted for clustering if necessary and pooled using the random-effects model when appropriate. Synthesis: We included 15 trials in this review, with a total number of 14 370 participants. None of the included trials appeared to be free of any risk of bias. Meta-analysis and Grading of Recommendations, Assessment, Development and Evaluations (GRADE) assessment could be performed for static stretching compared to no stretching (3532 participants), showing low quality of evidence indicating no favorable effect of stretching. Gait retraining, an anterior knee-pain targeted program, and resistance exercises showed cautious favorable effects on reducing injury risk in military personnel. Conclusion: The current evidence base for exercise-based MSI prevention strategies in the military is of low quality. Areas worthy of further exploration include the effects of gait retraining, anterior knee-pain targeted programs, agility training, and resistance training programs, on medial tibial stress syndrome incidence, anterior knee pain incidence, attrition due to injuries and any type of MSI, respectively.
Context: This study evaluates the effect of nonexercise interventions on the reduction of risk for musculoskeletal injuries in armed forces.
Objective. To determine the incidence and prevalence of knee osteoarthritis (OA) using codified and narrative data from general practices throughout The Netherlands.Methods. This retrospective cohort study was conducted using the Integrated Primary Care Information database. Patients with codified knee OA were selected, and an algorithm was developed to identify patients with narratively diagnosed knee OA only. Point prevalence proportions and incidence rates among people age ≥30 years were assessed from 2008 to 2019. The association of comorbidities with codified knee OA was analyzed using multivariable logistic regression.Results. The positive predicted value of narratively diagnosed knee OA only was 94.0% (95% confidence interval [95% CI] 87.4-100%) and for codified knee OA 96.0% (95% CI 90.6-100%). Including narrative data in addition to codified data resulted in a prevalence 1.83-2.01 times higher (over the study years); prevalence increased from 5.8% to 11.8% between 2008 and 2019. The incidence rate was 1.93-2.28 times higher and increased from 9.98 per 1,000 person-years to 13.8 per 1,000 person-years between 2008 and 2019. Among patients with codified knee OA, 39.4% were previously diagnosed narratively with knee OA, on average ~3 years earlier. Comorbidities influenced the likelihood of being recorded with codified knee OA.Conclusion. Our study of a Dutch primary care database showed that current incidence and prevalence estimates based on codified data alone from electronic health records are underestimated. Narrative data can be incorporated in addition to codified data to identify knee OA patients more accurately.
Objective: To determine patients', healthcare providers', and insurance company employees' preferences for knee and hip osteoarthritis (KHOA) care. Design: In a discrete choice experiment, patients with KHOA or a joint replacement, healthcare providers, and insurance company employees were repetitively asked to choose between KHOA care alternatives that differed in six attributes: waiting times, out of pocket costs, travel distance, involved healthcare providers, duration of consultation, and access to specialist equipment. A (panel latent class) conditional logit model was used to determine preference heterogeneity and relative importance of the attributes. Results: Patients (n ¼ 648) and healthcare providers (n ¼ 76) valued low out of pocket costs most, while insurance company employees (n ¼ 150) found a joint consultation by general practitioner (GP) and orthopaedist most important. Patients found the duration of consultation less important than healthcare providers and insurance company employees did. Patients without a joint replacement were likely to prefer healthcare with low out of pocket costs. Patients with a joint replacement and/or low diseasespecific quality of life were likely to prefer healthcare from an orthopaedist. Patients who already received healthcare for knee/hip problems were likely to prefer a joint consultation by GP and orthopaedist, and direct access to specialist equipment. Conclusions: Patients, healthcare providers, and insurance company employees highly prefer a joint consultation by GP and orthopaedist with low out of pocket costs. Within patients, there is substantial preference heterogeneity. These results can be used by policy makers and healthcare providers to choose the most optimal combination of KHOA care aligned to patients' preferences.
Purpose: Despite the wide range of treatment options, healthcare for knee and hip osteoarthritis (KHOA) is often suboptimal. With the availability of a variety of healthcare settings (e.g. primary, intermediate, and secondary care), we need to gain insight into preferences for KHOA treatment. This study identified the preferences of patients and the heterogeneity in their preferences for current healthcare for KHOA. Additionally, we explored the differences between the preferences of patients, healthcare providers, and health insurance employees for healthcare for KHOA. Methods: A survey containing a discrete choice experiment (DCE) was conducted, in which KHOA patients, healthcare providers (orthopaedists and general practitioners (GPs)), and insurance employees had to choose between KHOA care alternatives that differed in six attributes: waiting time, out of pocket costs, travel distance, involved healthcare providers during consultation, length of consultation, and access to specialist equipment (see Figure 1 for an example). A (panel latent class) conditional logit model was used to determine the preference heterogeneity and the relative importance of the attributes. Results: A total of 648 patients (55.4% female, mean age of 61.7 years) completed the survey, of which 23.1% had a total joint replacement
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