Multimorbidity : definition, assessment, measurement and impact

Research and clinical practice mostly focus on single-disease approaches whereas in reality many patients suffer from more than one chronic condition. The co-occurrence of conditions has increasingly been defined as multimorbidity. Multimorbidity challenges patients, providers and health systems. This has increased the interest of researchers, clinicians and policy makers. However, multimorbidity poses important challenges to those who want to study it. This chapter provides an overview on the definition and measurement of multimorbidity from an epidemiological approach and elicits possible effective approaches to overcome the important clinical challenges of care for this growing group of patients. The aging of the population, due to two demographic effects, namely increasing longevity and declining fertility, is a widespread phenomenon across the world. At the same time, it is an enormous challenge as aging populations obviously results in more people with chronic diseases. Research and clinical practice have mainly focused on building evidence for single diseases while in reality 50% of patients with a chronic disease have more than one medical condition. Besides, the complexity of health problems increases dramatically: 20%–40% of patients aged 65 or older suffer from more than 5 chronic diseases. The complexity of multimorbidity challenges research processes on care for multimorbidity)

The link between income inequality and health in Europe, adding strength dimensions of primary care to the equation

Income inequality has been dearly associated with reduced population health. A body of evidence suggests that a strong primary care system may mitigate this negative association. The aim of this study is to assess the strength of the primary care system's effect on the inverse association between income inequality and health in Europe. Health is operationalised using four cross-sectional outcomes: self-rated health, life expectancy, mental well-being, and infant mortality. Strength of the primary care system is measured using the framework of the Primary Health Care Activity Monitor Europe, and income inequality by the Gini coefficient. Multiple regression models with interaction terms were used. The results confirm that especially the structure and continuity dimension of primary care strength can buffer the inverse association between income inequality and health. European policymakers should therefore focus on strengthening primary care systems in order to reduce inequity in health

Prevalence of multimorbidity with frailty and associations with socioeconomic position in an adult population : findings from the cross-sectional HUNT Study in Norway

ObjectivesTo explore prevalences and occupational group inequalities of two measures of multimorbidity with frailty.DesignCross-sectional study.SettingThe Nord-TrOndelag Health Study (HUNT), Norway, a total county population health survey, 2006-2008.ParticipantsParticipants older than 25 years, with complete questionnaires, measurements and occupation data were included.Outcomes >= 2 of 51 multimorbid conditions with >= 1 of 4 frailty measures (poor health, mental illness, physical impairment or social impairment) and >= 3 of 51 multimorbid conditions with >= 2 of 4 frailty measures.AnalysisLogistic regression models with age and occupational group were specified for each sex separately.ResultsOf 41 193 adults, 38 027 (55% female; 25-100 years old) were included. Of them, 39% had >= 2 multimorbid conditions with >= 1 frailty measure, and 17% had >= 3 multimorbid conditions with >= 2 frailty measures. Prevalence differences in percentage points (pp) with 95% confidence intervals of those in high versus low occupational group with >= 2 multimorbid conditions and >= 1 frailty measure were largest in women age 30 years, 17 (14 to 20) pp and 55 years, 15 (13 to 17) pp and in men age 55 years, 15 (13 to 17) pp and 80 years, 14 (9 to 18) pp. In those with >= 3 multimorbid conditions and >= 2 frailty measures, prevalence differences were largest in women age 30 years, 8 (6 to 10) pp and 55 years, 10 (8 to 11) ppand in men age 55 years, 9 (8 to 11) pp and 80 years, 6 (95% CI 1 to 10) pp.ConclusionMultimorbidity with frailty is common, and social inequalities persist until age 80 years in women and throughout the lifespan in men. To manage complex multimorbidity, strategies for proportionate universalism in medical education, healthcare, public health prevention and promotion seem necessary

Exploring the psychometric properties of the Working Alliance Inventory in general practice : a cross-sectional study

Contains fulltext : 232432.pdf (Publisher’s version ) (Open Access)BACKGROUND: The therapeutic alliance is a framework from psychology that describes three components: goals, tasks, and bond. The Working Alliance Inventory adapted for general practice (WAI-GP) measures the strength of the therapeutic alliance between the patient and the clinician, and it could be useful in both research and clinical settings. AIM: To determine if the patient score on WAI-GP can delineate the three components (goals, tasks, and bond), and to test concurrent validity with the Consultation and Relational Empathy (CARE) measure and the Patient Perception of Patient-Centredness (PPPC) measure. DESIGN & SETTING: A cross-sectional study took place in 12 general practice waiting rooms in Australia. METHOD: The research instruments included the 12-item WAI-GP (the patient version), the CARE and PPPC measures, plus a survey of demographics and reason for consultation. To perform a principal components factor analysis of the WAI-GP, this dataset was combined with an existing dataset. The Spearman rank correlation was used to determine concurrent validity between the WAI-GP and the CARE and PPPC measures. RESULTS: Participants (97-99%) reported a strong positive alliance after the consultation (average WAI-GP mean 4.27 ± 0.67 out of 5, n = 146). Factor analysis could not separate the three components (one factor, eigenvalue >1; Cronbach's α = 0.957; n = 281). Concurrent validity was supported by moderate correlations with the other measures (PPPC ρ = -0.51, P<0.005, CARE ρ = 0.56, P<0.005). CONCLUSION: Three components could not be identified, but the WAI-GP has a high internal consistency and concurrent validity with moderate correlations with the CARE and PPPC. A more diverse sample may better distinguish the three components leading to more specific feedback to clinicians on their consultation practices

A qualitative interpretation of challenges associated with helping patients with multiple chronic diseases identify their goals

Background Patients with multiple chronic diseases are usually treated according to disease-specific guidelines, with outcome measurements focusing mostly on biomedical indicators (e.g. blood sugar levels or lung function). However, for multimorbidity, a goal-oriented approach focusing on the goals defined by the individual patient, may be more suitable. Despite the clear theoretical and conceptual advantages of including patient-defined goals in clinical decision-making for multimorbidity, it is not clear how patients define their goals and which aspects play a role in the process of defining them. Objective To explore goal-setting in patients with multimorbidity. Design Qualitative analysis of interviews with 19 patients diagnosed with chronic obstructive pulmonary disease and comorbidities. Results Patients do not naturally present their goals. Their goals are difficult to elicit, even when different interviewing techniques are used. Four underlying hypotheses which may explain this finding were identified from the interviews: (1) patients cannot identify with the concept of goal-setting; (2) goal-setting is reduced due to acceptation; (3) actual stressors predominate over personal goal-setting; and (4) patients may consider personal goals as selfish. Conclusions Our findings advocate for specific attention to provider skills and strategies that help patients identify their personal goals. The hypotheses on why patients may struggle with defining goals may be useful to prompt patients in this process and support the development of a clinical method for goal-oriented care

Patient-centred innovation for multimorbidity care : mixed-methods, randomized trial and qualitative study of the patients’ experience

Background Patient-centred interventions to help patients with multimorbidity have had mixed results. Aim To assess the effectiveness of a provider-created, patient-centred, multi-provider case conference with follow-up, and understand underwhal circumstances it worked. and did not work Design and setting Mixed-methods design with a pragmatic randomised trial and qualitative study. involving nine urban primary care sites in Ontario, Canada. Method Patients aged 18-80 years with >= 3 chronic conditions were referred to the Telemedicine IMPACT Plus intervention; a nurse and patient planned a multi provider case conference during which a care plan could be created. The patients were randomised into an intervention or control group. Two subgroup analyses and a fidelity assessment were conducted, with the primary outcomes at 4 months being self-management and self-efficacy. Secondary outcomes were mental and physical health status, quality of life, and health behaviours. A thematic analysis explored the patients' experiences of the intervention. Results A total of 86 patients in the intervention group and 77 in the control group showed no differences, except that the intervention improved mental health status in the subgroup with an annual income of >= C$50 000 [beta-coefficient 11.003, P= 0.006]. More providers and follow-up hours were associated with poorer outcomes. Five themes were identified in the qualitative study: valuing the team, patients feeling supported. receiving a follow-up plan, being offered new and helpful additions to their treatment regimen, and experiencing positive outcomes. Conclusion Overall, the intervention showed improvements only for patients who had an annual income of >= C$50 000, implying a need to address the Wsis of intervention components not covered by existing health policies. Findings suggest a need to optimise learn composition by revising the number and type of providers according to patient preferences and to enhance the hours of nurse follow-up to better support the patient in carrying out the case conference's recommendations