Patient and practitioner priorities and concerns about primary healthcare interactions for osteoarthritis: A meta-ethnography

OBJECTIVE: To explore primary care practitioners' (PCPs) and patients' priorities and concerns for healthcare interactions for osteoarthritis (OA) in primary care. METHODS: We searched Embase, CINAHL, Medline, PsychInfo (1990 to present) for primary qualitative and mixed methods studies with findings concerning healthcare interactions for OA symptoms. Patient and PCP perceptions were analysed separately then inter-related using a 'line of argument' synthesis. RESULTS: Twenty-six studies reporting qualitative data from 557 patients and 199 PCPs were synthesised. Our findings suggest that therapeutic interactions for OA can be based on discordant priorities and concerns; some patients perceive that PCPs hold negative attitudes about OA and feel their concerns about impact are not appreciated; some PCPs feel patients have misconceptions about prognosis, and hold pessimistic views about outcomes; and both tend to de-prioritise OA within consultations. CONCLUSION: Greater working in partnership could build mutual trust, facilitate tailored provision of information, and foster a shared understanding of OA upon which to build realistic goals for management. PRACTICE IMPLICATIONS: Developing a better shared understanding of OA has the potential to improve the quality of healthcare interactions for both patients and PCPs. The significant impact of OA on everyday life means it should be given higher priority in primary care consultations

How Do Physical Therapists in the United Kingdom Manage Patients With Hip Osteoarthritis? Results of a Cross-Sectional Survey

Background: Hip osteoarthritis (OA) is common, painful and disabling. Physical therapists have an important role in managing patients with hip OA, however little is known about their current management approach and whether it aligns with clinical guideline recommendations. Objective: The objective of this study is to describe UK physical therapists' current management of patients with hip OA and to determine whether it aligns with clinical guidelines. Design: The design is a cross-section questionnaire. Methods: A questionnaire was mailed to 3126 physical therapists in the UK that explored physical therapists' self-reported management of a patient with hip OA using a case vignette and clinical management questions. Results: The response rate was 52.7% (n = 1646). In total 1148 (69.7%) physical therapists had treated a patient with hip OA in the last 6 months and were included in the analyses. A treatment package was commonly provided incorporating advice, exercise (strength training 95.9%; general physical activity 85.4%) and other nonpharmacological modalities, predominantly manual therapy (69.6%), and gait retraining (66.4%). There were some differences in reported management between physical therapists based in the National Health Service (NHS) and non-NHS-based physical therapists, including fewer treatment sessions being provided by NHS-based therapists. Limitations: Potential for non-responder bias, and in clinical practice physical therapists may manage patients with hip OA differently. Conclusion: UK-based physical therapists commonly provide a package of care for patients with hip OA that is broadly in line with current clinical guidelines, including advice, exercise, and other nonpharmacological treatments. There were some differences in clinical practice between NHS and non-NHS based physical therapists, but whether these differences impact on clinical outcomes remains unknown

Effect of allopurinol on all-cause mortality in adults with incident gout: propensity score–matched landmark analysis

Objective: To examine the association between allopurinol use and all-cause mortality for patients with incident gout. Methods: We compared all-cause mortality in incident gout patients who received allopurinol for at least 6 months within the exposure window (1 year or 3 years) with those who did not, using the UK Clinical Practice Research Data-link. Landmark analysis was used to account for immortal time bias and propensity score matching was used to control for potential effects of known confounders. Results: Of 23 332 incident gout patients identified, the propensity score–matched cohorts contained 1016 patients exposed to allopurinol on the date 1 year from diagnosis (landmark date) and 1016 allopurinol non-users. Over a median follow-up period of 10 years after the landmark date, there were 437 allopurinol users and 443 allopurinol non-users who died during follow-up. Allopurinol users and non-users had similar risk for all-cause mortality (hazard ratio 0.99; 95% CI 0.87, 1.12). In the 3-year landmark analysis, 3519 allopurinol users (1280 died) were compared with 3519 non-users (1265 died). The hazard ratio for all-cause mortality was 1.01 (95% CI 0.92, 1.09). Conclusion: This propensity score–matched landmark analysis in a population of incident gout patients in the UK primary care setting found a neutral effect on the risk of all-cause mortality. Our study provides reassurance about the prescription of allopurinol for gout patients early in their disease course to prevent untoward consequences of chronic uncontrolled hyperuricaemia. However, whether higher than the commonly used dose of allopurinol could influence mortality remains to be determined

Prevalence of osteoarthritis in lower middle- and low-income countries: a systematic review and meta-analysis

Evidence from the Global Burden of Disease studies suggests that osteoarthritis (OA) is a significant cause of disability globally; however, it is less clear how much of this burden exists in low-income and lower middle-income countries. This study aims to determine the prevalence of OA in people living in low-income and lower middle-income countries. Four electronic databases (MEDLINE, EMBASE, CINAHL and Web of Science) were systematically searched from inception to October 2018 for population-based studies. We included studies reporting the prevalence of OA among people aged 15 years and over in low-income and lower middle-income countries. The prevalence estimates were pooled across studies using random effects meta-analysis. Our study was registered with PROSPERO, number CRD42018112870.The search identified 7414 articles, of which 356 articles were selected for full text assessment. 34 studies were eligible and included in the systematic review and meta-analysis. The pooled prevalence of OA was 16·05% (95% confidence interval (CI) 12·55–19·89), with studies demonstrating a substantial degree of heterogeneity (I2 = 99·50%). The pooled prevalence of OA was 16.4% (CI 11·60–21.78%) in South Asia, 15.7% (CI 5·31–30·25%) in East Asia and Pacific, and 14.2% (CI 7·95–21·89%) in Sub Saharan Africa. The meta-regression analysis showed that publication year, study sample size, risk of bias score and country-income categories were significantly associated with the variations in the prevalence estimates. The prevalence of OA is high in low-income and lower middle-income countries, with almost one in six of the study participants reported to have OA. With the changing population demographics and the shift to the emergence of non-communicable diseases, targeted public health strategies are urgently needed to address this growing epidemic in the aging population

Predictors of the likelihood that patients with rheumatoid arthritis will communicate information about rheumatoid arthritis risk to relatives:a quantitative assessment

First-degree relatives (FDRs) of people with rheumatoid arthritis (RA) are increasingly recruited to prediction and prevention studies. Access to FDRs is usually via their proband with RA. Quantitative data on predictors of family risk communication are lacking. RA patients completed a questionnaire assessing likelihood of communicating RA risk information to their FDRs, demographic variables, disease impact, illness perceptions, autonomy preferences, interest in FDRs taking a predictive test for RA, dispositional openness, family functioning, and attitudes towards predictive testing. Ordinal regression examined associations between patients’ characteristics and their median likelihood of communicating RA risk to FDRs. Questionnaires were completed by 482 patients. The majority (75.1%) were likely/extremely likely to communicate RA risk information to FDRs, especially their children. Decision-making preferences, interest in FDRs taking a predictive test, and beliefs that risk knowledge would increase people’s empowerment over their health increased patients’ odds of being likely to communicate RA risk information to FDRs. Beliefs that risk information would cause stress to their relatives decreased odds that patients would be likely to communicate RA risk. These findings will inform the development of resources to support family communication about RA risk.<br/

Exploring the impact of the first wave of COVID-19 on social work practice: A qualitative study in England, UK

The COVID-19 pandemic signalled a radical shift in health and social care services globally. In UK, many of the people with existing social care needs were identified as ‘clinically vulnerable’ to COVID-19. Those at greatest risk were encouraged to adhere to additional public health measures that inadvertently exacerbated social disadvantages. Social workers were challenged to ‘dig deep’ to continue to provide services as usual. However, problems implementing new ways of working were reported but not examined in-depth through research. Our study explored experiences and perceptions of social workers responding to the first wave (April–July 2020) of COVID-19, in England, UK. Interviews with thirteen social workers, all working in the West Midlands region, were conducted via telephone or online video. Transcripts were analysed using reflexive thematic analysis. We use ‘managing uncertainty’ as a central concept underpinning the four themes identified after analysis: (1) providing social care at a physical distance, (2) negotiating home/work boundaries, (3) managing emerging risks and (4) long-term implications for social work. We discuss our findings in the context of resilience and organisational adaptation. Social workers in our study demonstrated resilience in action and rapid adaptation to new practices, but equally expressed concern about short-term efficiencies being prioritised over individual service user needs

Impact of gout on the risk of atrial fibrillation

OBJECTIVES: To examine the risk of atrial fibrillation (AF) at the time of first diagnosis of gout compared with matched controls and to follow incident gout patients and their matched controls after diagnosis to compare their subsequent risk of AF. METHODS: From the UK Clinical Practice Research Data-link, 45 378 incident gout patients and 45 378 age-, sex-, practice-, registration year- and index year-matched controls were identified. Index dates were initial diagnosis date for gout patients and their matched controls. The risk of AF at diagnosis [odds ratios (ORs), using conditional logistic regression] and after the diagnosis of gout [hazard ratios (HRs), using Cox proportional models] were estimated, adjusted for BMI, smoking, alcohol consumption, ischaemic heart disease, heart failure, heart valve disease, hyperthyroidism and other comorbidities and medications. RESULTS: The prevalence of AF at index date in gout patients (male, 72.3%; mean age, 62.4 +/- 15.1 years) was 7.42% (95% CI 7.18, 7.66%) and in matched controls 2.83% (95% CI 2.67, 2.98%). The adjusted OR (95% CI) was 1.45 (1.29, 1.62). The cumulative probability of AF at 1, 2, 5 and 10 years after index date was 1.08, 2.03, 4.77 and 9.68% in gout patients and 0.43, 1.08, 2.95 and 6.33% in controls, respectively (log-rank test, P < 0.001). The adjusted HR (95% CIs) was 1.09 (1.03, 1.16). CONCLUSION: This population-based study indicates that gout is independently associated with a higher risk of AF at diagnosis and the risk is also higher after the diagnosis

Rheumatoid arthritis and excess mortality: down but not out: a primary care cohort study using data from Clinical Practice Research Datalink

Objectives: To examine temporal trends in all-cause and cause-specific mortality in RA. Methods: Data from the Clinical Practice Research Datalink (CPRD) were used. Incident RA cases and four age, sex and general practice matched controls were identified from at-risk cohorts for each calendar year and followed-up for up to five years. Mortality rates and 95% confidence intervals (95% CIs) were computed. Cox-proportional hazard ratios (HRs) were calculated to estimate associations and adjusted for covariates. Temporal trend in mortality was examined using the Joinpoints Regression Program. Data management and analysis were performed using Stata v.14. Results: 21,622 cases with incident RA and 86,488 controls were included. The mortality rate (95%CI) of RA cases and controls was 26.90 (25.87-27.97) and 18.92 (18.48-19.36)/1000 person-years respectively. The mortality rate in RA cases did not change significantly between 1990 and 2004, but reduced by 7.7%/year between 2005 and 2009. However, the mortality rate in controls improved steadily by 2.2%/year between 1990 and 2009. RA associated with 32% excess risk of mortality in the entire cohort (aHR (95%CI) 1.32(1.26-1.38), but this was only 15% in cases incident after 2006 (aHR (95%CI) 1.15(1.03-1.29)). Similarly, the HR of death due to cardiovascular diseases reduced in cases incident in recent years. Conclusion: The mortality rate in RA cases incident after the year 2006 has declined significantly, with a trend towards decline in death from cardiovascular diseases. This could be due to improved management of RA. However, even in cohorts from recent years, RA still associates with higher mortality rates

Early Unplanned Readmissions after Admission to Hospital with Heart Failure

Hospital readmissions remain a continued challenge in the care of patients with heart failure (HF). This study aims to examine the rates, temporal trends, predictors and causes of 30-day unplanned readmissions after admission with HF. Patients hospitalized with a primary or secondary diagnosis of HF in the U.S. Nationwide Readmission Database were included. We examined the incidence, trends, predictors and causes of unplanned all-cause readmissions at 30-days. A total of 3,264,082 and 8,724,846 patients were included in the analyses for primary and secondary diagnoses of HF, respectively. The 30-day unplanned readmission rate was 15.1% for primary HF and 14.6% for secondary HF. Predictors of readmission in primary HF included renal failure (OR 1.27 (1.25-1.28)), cancer (OR 1.26 (1.22-1.29)), receipt of circulatory support (OR 2.81 (1.64-4.81)) and discharge against medical advice (OR 2.29 (2.20-2.39)). In secondary HF, the major predictors were receipt of circulatory support (OR 1.43 (1.12-1.84)) and discharge against medical advice (OR 2.01 95%CI (1.95-2.07)). In primary HF 52.4% of patients were readmitted for a non-cardiac cause while for secondary HF 73.9% were readmitted for a non-cardiac cause. For secondary HF, the strongest predictor of readmission was discharge against medical advice (OR 2.06 95%CI 2.01-2.12, p<0.001). Early unplanned readmissions are common among patients hospitalized with HF, and a majority of readmissions are due to causes other than HF. Our results highlight the need to better manage comorbidities in patients with HF