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Objective. To evaluate whether osteoarthritis (OA) pain determines depressed mood, taking into consideration fatigue and disability and controlling for other factors. Methods. In a community cohort with hip/knee OA, telephone interviews assessed OA pain and disability (Western Ontario and McMaster Universities Osteoarthritis Index [WOMAC]), fatigue (Multidimensional Fatigue Symptom Inventory), depressed mood (Center for Epidemiologic Studies Depression Scale), and covariates (demographics, self-rated health, comorbidity, pain coping, pain catastrophizing, and social support) at 3 time points over 2 years. Drawing on previous research, a path model was developed to test the interrelationships among the key concepts (pain, depression, fatigue, disability) over time, controlling for covariates. Results. The baseline mean age was 75.4 years; 78.5% of the subjects were women, 37.2% were living alone, and 15.5% had >3 comorbid conditions. WOMAC scores indicated moderate OA symptoms and disability. From the final model with 529 subjects, adjusting for covariates, we found that current OA pain strongly predicted future fatigue and disability (both short and long term), that fatigue and disability in turn predicted future depressed mood, that depressed mood and fatigue were interrelated such that depressed mood exacerbated fatigue and vice versa, and that fatigue and disability, but not depressed mood, led to worsening of OA pain. Conclusion. Controlling for other factors, OA pain determined subsequent depressed mood through its effect on fatigue and disability. These effects led to worsening of pain and disability over time. These results support the need for improved pain management in OA to prevent or attenuate the downstream effects of pain on disability and mood.

Objective-To identify the factors associated with self rated health of people with and without chronic health conditions or long term disability. Setting-Canadian household population. Design-Analysis of 1994/95 National Population Health Survey interview data with 13 995 respondents aged 20 years and older. Determinants of poor and good compared with excellent health were examined using multivariate nominal logistic regression. Factors included in the analyses were illness related (chronic disease, long and short-term disability, and pain) demographic, lifestyle (smoking, physical activity, drinking), and social psychological resources (mastery, chronic stress, distress, self esteem, and social support). Results-Illness related variables were associated with poor health, with smaller but significant contributions from demographic and lifestyle factors. Psychological resources, especially high mastery and self esteem, are associated with better health in those with chronic conditions or disability. Conclusion-The determinants of self rated health for people with chronic illness and disability make the greatest contribution to the findings for the overall population. (J Epidemiol Community Health 1999;53:731-736)

Caregivers' needs for support and the individuals most suited to providing support change across the stroke survivor's recovery trajectory. Changes to service delivery to better support caregivers may include: (1) addressing caregivers' changing needs across the care continuum; (2) implementing a family-centered model of care; and (3) providing 7-day per week inpatient rehabilitation.

Background Families play an important role meeting the care needs of individuals who require assistance due to illness and/or disability. Yet, without adequate support their own health and wellbeing can be compromised. The literature highlights the need for a move to family-centered care to improve the well-being of those with illness and/or disability and their family caregivers. The objective of this paper was to explore existing models of family-centered care to determine the key components of existing models and to identify gaps in the literature. Methods A scoping review guided by Arksey & O’Malley (2005) examined family-centered care models for diverse illness and age populations. We searched MEDLINE, PsycINFO, CINAHL and EMBASE for research published between 1990 to August 1, 2018. Articles describing the development of a family-centered model in any patient population and/or healthcare field or on the development and evaluation of a family-centered service delivery intervention were included. Results The search identified 14,393 papers of which 55 met our criteria and were included. Family-centered care models are most commonly available for pediatric patient populations ( n = 40). Across all family-centered care models, the consistent goal is to develop and implement patient care plans within the context of families. Key components to facilitate family-centered care include: 1) collaboration between family members and health care providers, 2) consideration of family contexts, 3) policies and procedures, and 4) patient, family, and health care professional education. Some of these aspects are universal and some of these are illness specific. Conclusions The review identified core aspects of family-centred care models (e.g., development of a care plan in the context of families) that can be applied to all populations and care contexts and some aspects that are illness specific (e.g., illness-specific education). This review identified areas in need of further research specifically related to the relationship between care plan decision making and privacy over medical records within models of family centred care. Few studies have evaluated the impact of the various models on patient, family, or health system outcomes. Findings can inform movement towards a universal model of family-centered care for all populations and care contexts. Electronic supplementary material The online version of this article (10.1186/s12913-019-4394-5) contains supplementary material, which is available to authorized users.

Objective. To compare the health experiences of middle-and older-age adults with moderate osteoarthritis (OA) symptoms with experiences of individuals with no chronic health conditions. Similarities and differences in health changes, the meaning of these changes, and their impact were examined. Methods. Sixteen focus groups (10 OA, 6 control) were conducted with 53 women and 37 men (age 39 -88 years). OA participants were recruited from practitioners' offices and The Arthritis Society, Ontario Division. Additional OA participants and controls were recruited from community centers and newspaper advertisements. All participants were asked about changes in health, the impact of these changes, and self-management strategies. Participants also completed standardized measures including demographic information; the Short Form 36; Western Ontario and McMaster Universities Osteoarthritis Index; and Disabilities of the Arm, Shoulder and Hand questionnaire. Results. Differences in the depth, breadth, and meaning of symptoms such as pain, stiffness, and fatigue were reported with little overlap between OA and control groups. OA was often seen as part of a normal aging process requiring acceptance, not treatment. However, younger OA participants reported more distress and frustration managing the disease. OA participants reported an impact of their health on work, leisure, social activities, and relationships that was described as upsetting compared with controls. Conclusion. This study illuminates personal and social factors associated with OA by comparing health experiences of individuals with OA and controls. It highlights directions for future research that can improve our understanding of the needs of individuals with OA and can help link individuals' health status to the broader framework of their lives.

Objective. To evaluate patient predictors of good outcome following total joint arthroplasty (TJA).Methods. A population cohort with hip/knee arthritis (osteoarthritis [OA] or inflammatory arthritis) ages >55 years was recruited between 1996 and 1998 (baseline) and assessed annually for demographics, troublesome joints, health status, and overall hip/knee arthritis severity using the Western Ontario and McMaster Universities OA Index (WOMAC). Survey data were linked with administrative databases to identify primary TJAs. Good outcome was defined as an improvement in WOMAC summary score greater than or equal to the minimal important difference (MID; 0.5 SD of the mean change). Logistic regression and Akaike's information criterion were used to determine the optimal number of predictors and the best model of that size. Log Poisson regression was used to determine the relative risk (RR) for a good outcome.Results. Primary TJA was performed in 202 patients (mean age 71.0 years; 79.7% female; 82.7% with >1 troublesome hip/knee; 65.8% knee replacements). Mean improvement in WOMAC summary score was 10.2 points (SD 18.05; MID 9 points). Of these patients, 53.5% experienced a good outcome. Four predictors were optimal. The best 4-variable model included pre-TJA WOMAC, comorbidity, number of troublesome hips/knees, and arthritis type (C statistic 0.80). The probability of a good outcome was greater with worse (higher) pre-TJA WOMAC summary scores (adjusted RR 1.32 per 10-point increase; P < 0.0001), fewer troublesome hips/knees (adjusted RR 0.82 per joint; P ‫؍‬ 0.002), OA (adjusted RR for rheumatoid arthritis versus OA 0.33; P ‫؍‬ 0.009), and fewer comorbidities (adjusted RR per condition 0.88; P ‫؍‬ 0.01).Conclusion. In an OA cohort with a high prevalence of multiple troublesome joints and comorbidity, only half achieved a good TJA outcome, defined as improved pain and disability. A more comprehensive assessment of the benefits and risks of TJA is warranted.

Indirect arthritis-related costs are substantial. Our results show that not only the disease itself, but also psychosocial and work-related factors affect the magnitude of the costs.