Background:Patients with multimorbidity must bear not just the burden of their illness, but also the burden of treatment which is, in part, induced by their interactions with the healthcare system. The need to shuttle between different healthcare institutions and multiple healthcare providers can make navigating the healthcare system challenging, and this may be even more so for older patients with limited resources and support.Objectives:Few qualitative studies have explored the experiences of patients with multimorbidity in navigating the healthcare system. This study will explore the experiences of older patients with multimorbidity and their caregivers as they navigate through the healthcare system. We aim to arrive at a better understanding of patient experiences of possible gaps in the continuity of care and how the current system can be modified and adapted to better address the needs of older patients with multimorbidity.Method:Semi-structured, in-depth interviews will be conducted with purposively sampled older patients with multimorbidity, aged 60 and above seen in primary care, together with their caregivers. Interviews will be transcribed verbatim and analysed by the study team using inductive thematic analysis.Conclusions:Our study seeks to explore the navigational experiences within the healthcare system for older patients with multimorbidity in an Asian, multi-ethnic society. The findings will be shared with decision-makers in the healthcare setting in order to improve patient care for this population and ultimately maximise their positive health outcomes, and will add to better understanding how the burden of treatment arising from navigational challenges within the healthcare system may be reduced for older patients with multimorbidity.

Background:Stroke is the leading cause of death and adult disability in Canada. Eighty percent of older adults (≥65 years) who have suffered a stroke will return to their homes, and 60% will require ongoing rehabilitation. The transition between hospital and home is often fragmented, leading to adverse health outcomes, hospital readmissions, and increased health-care costs. This study examined the feasibility of a 6-month integrated transitional care stroke intervention (TCSI), and explored its effects on health outcomes, patient and provider experience, and cost in 30 community-living older adults (≥55 years) with stroke and multimorbidity (≥2 chronic conditions) using outpatient stroke rehabilitation services.Methods:The TCSI is a 6-month intervention delivered by an interprofessional (IP) team (occupational therapist, physiotherapist, speech language pathologist, registered nurse, social worker). It involved care coordination, home visiting, and IP case conferences, supported by a web-based application. A qualitative descriptive approach was used to explore the feasibility of implementing the intervention. A prospective one-group pretest/posttest was used to evaluate the effects of the intervention on health outcomes and use and costs of health services, from baseline to 6 months.Results:Participants had an average of eight comorbid conditions. The intervention was feasible and acceptable to both older adults and providers. From baseline to 6 months, there was no statistically significant difference in health outcomes. However, there was a significant reduction in the total per person use and costs of health services.Conclusions:This study established the feasibility of conducting a larger randomized controlled trial of this intervention.

The International Multimorbidity Symposium was held in November 2019 at Western University to achieve three main objectives: to discuss progress and findings from various jurisdictions; to facilitate collaboration through group discussion to identify strategies to move multimorbidity research forward; and to create concrete plans to ensure advances in multimorbidity research and knowledge can be achieved through cross-national partnership. This event included keynote presentations, elevator pitch presentations and breakout sessions and there was a total of 35 attendees from eight countries, representing diverse disciplines and training levels. The overall themes arising from the event were: the importance of integrating the study and management of multimorbidity from both the primary care and public health perspectives; meaningful engagement and collaboration with patients and caregivers to understand key dimensions of multimorbidity; the considerable benefit of collaborative international partnerships; and the need to spread and scale innovations for health care systems that can better respond to the complex needs of patients and caregivers who are living with multimorbidity. Finally, it was well-acknowledged among the attendees that expanding the collaboration and discussion among international colleagues via in-person and virtual events will be important to move multimorbidity research forward.

Background:Heart failure patients often present with frailty and/or multi-morbidity, complicating care and service delivery. The Chronic Care Model (CCM) is a useful framework for designing care for complex patients. It assumes responsibility of several actors, including frontline providers and health-care administrators, in creating conditions for optimal chronic care management. This qualitative case study examines perceptions of care among providers and administrators in a large, urban health system in Canada, and how the CCM might inform redesign of care to improve health system functioning.Methods:Sixteen semi-structured interviews were conducted between August 2014 and January 2016. Interpretive analysis was conducted to identify how informants perceive care among this population and the extent to which the design of heart failure care aligns with elements of the CCM.Results:Current care approaches could better align with CCM elements. Key changes to improve health system functioning for complex heart failure patients that align with the CCM include closing knowledge gaps, standardizing treatment, improving interdisciplinary communication and improving patient care pathways following hospital discharge.Conclusions:The CCM can be used to guide health system design and interventions for frail and multi-morbid heart failure patients. Addressing care- and service-delivery barriers has important clinical, administrative and economic implications.

Aim:To investigate the association between clusters of conditions and psychological well-being across age groups.Method:This cross-sectional study used data collected in the Danish population-based Lolland-Falster Health Study. We included adults over the age of 18 years. Self-reported chronic conditions were divided into 10 groups of conditions. The primary outcome was psychological well-being (the WHO-5 Well-Being Index). Factor analysis constructed the clusters of conditions, and regression analysis investigated the association between clusters and psychological well-being.Results:Of 10,781 participants, 31.4% were between 18 and 49 years, 35.7% were between 50 and 64 years and 32.9% were above ≥65 years. 35.2% had conditions represented in 1 and 32.9% in at least 2 of 10 condition groups. Across age groups, living with one or more chronic conditions was associated with poorer psychological well-being. Two chronic condition patterns were identified; one comprised cardiovascular, endocrine, kidney, musculoskeletal and cancer conditions, the second mental, lung, neurological, gastrointestinal and sensory conditions. Both patterns were associated with poorer psychological well-being (Pattern 1: −4.5 (95% CI: −5.3 to −3.7), Pattern 2: −9.1 (95% CI −13.8 to −8.2). For pattern 2, participants ≥65 years had poorer psychological well-being compared to younger (−12.6 (95% CI −14.2 to −11.0) vs −6.6 (95% CI: −7.8 to −5.4) for 18–49 years and −8.7 (95% CI: −10.1 to −7.3) for 50–64 years, interaction: p ≤ 0.001)Conclusion:Living with one or more chronic conditions is associated with poorer psychological well-being. Findings point toward a greater focus on supporting psychological well-being in older adults with both mental and somatic conditions.

Objective:To determine whether a bi-directional relationship exists between depression and HF within a single population of individuals receiving primary care services, using longitudinal electronic health records (EHRs).Methods:This retrospective cohort study utilized EHRs for adults who received primary care services within a large healthcare system in 2006. Validated EHR-based algorithms identified 10,649 people with depression (depression cohort) and 5,911 people with HF (HF cohort) between January 1, 2006 and December 31, 2018. Each person with depression or HF was matched 1:1 with an unaffected referent on age, sex, and outpatient service use. Each cohort (with their matched referents) was followed up electronically to identify newly diagnosed HF (in the depression cohort) and depression (in the HF cohort) that occurred after the index diagnosis of depression or HF, respectively. The risks of these outcomes were compared (vs. referents) using marginal Cox proportional hazard models adjusted for 16 comorbid chronic conditions.Results:2,024 occurrences of newly diagnosed HF were observed in the depression cohort and 944 occurrences of newly diagnosed depression were observed in the HF cohort over approximately 4–6 years of follow-up. People with depression had significantly increased risk for developing newly diagnosed HF (HR 2.08, 95% CI 1.89–2.28) and people with HF had a significantly increased risk of newly diagnosed depression (HR 1.34, 95% CI 1.17–1.54) after adjusting for all 16 comorbid chronic conditions.Conclusion:These results provide evidence of a bi-directional relationship between depression and HF independently of age, sex, and multimorbidity from chronic illnesses.

Background:Multimorbidity is rising in low- and middle-income countries (LMICs). However, the evidence on its epidemiology from LMICs settings is limited and the available literature has not been synthesized as yet.Objectives:To review the available evidence on the epidemiology of multimorbidity in LMICs.Methods:PubMed, Scopus, PsycINFO and Grey literature databases were searched. We followed the PRISMA-ScR reporting guideline.Results:Of 33, 110 articles retrieved, 76 studies were eligible for the epidemiology of multimorbidity. Of these 76 studies, 66 (86.8%) were individual country studies. Fifty-two (78.8%) of which were confined to only six middle-income countries: Brazil, China, South Africa, India, Mexico and Iran. The majority (n = 68, 89.5%) of the studies were crosssectional in nature. The sample size varied from 103 to 242, 952. The largest proportion (n = 33, 43.4%) of the studies enrolled adults. Marked variations existed in defining and measuring multimorbidity. The prevalence of multimorbidity in LMICs ranged from 3.2% to 90.5%.Conclusion and Recommendations:Studies on the epidemiology of multimorbidity in LMICs are limited and the available ones are concentrated in few countries. Despite variations in measurement and definition, studies consistently reported high prevalence of multimorbidity. Further research is urgently required to better understand the epidemiology of multimorbidity and define the best possible interventions to improve outcomes of patients with multimorbidity in LMICs.

Background:Multimorbidity including physical and mental illness is increasing in prevalence. We aimed to investigate the associations between physical conditions and medication use with anxiety and depression in midlife.Methods:We conducted an observational cross-sectional study of volunteers in the PREVENT Dementia study. Using logistic and linear regression, we investigated the association between increasing numbers of self-reported chronic physical conditions and medications with self-reported depression and anxiety disorder, and scores on the Center for Epidemiologic Studies Depression (CES-D) scale and Spielberger State-Trait Anxiety Inventory (STAI) state subtest.Results:Of the 210 participants, 148 (71%) were women and 188 (90%) Caucasian. The mean age was 52 (standard deviation (SD) = 5.5) years. The mean number of physical conditions was 2.2 (SD = 1.9) and medications 1.7 (SD = 2.2). Each additional physical condition was associated with increased odds of self-reported depression (odds ratio (OR) 1.41, 95% confidence interval (CI) 1.11–1.80; p = 0.004, adjusted for age and gender) and anxiety disorder (OR 1.70, 95% CI 1.30–2.37; p < 0.001). Increasing medication use was associated with self-reported depression (adjusted OR per additional medication 1.35, 95% CI 1.08–1.71; p = 0.008) but not anxiety disorder. For each additional condition, CES-D scores increased by 0.72 (95% CI 0.11–1.33; p = 0.020) and for each extra medication, by 0.88 (95% CI 0.32–1.44; p = 0.002). There was no significant association between increasing conditions and medications with STAI scores. In models accounting for antidepressant use, all associations were attenuated.Conclusions:Having more physical conditions is associated with anxiety and depression in midlife, and taking more medications is associated with depression but not anxiety.

Objectives:Robust data on the impact of comorbidities on health in people with osteoarthritis (OA) are lacking, despite its potential importance for patient management. Objectives were to determine coexisting conditions in people with OA in primary care and whether more comorbidities were linked with individual health status.Methods:A retrospective analysis of 23,892 patients with knee and hip OA was conducted to determine comorbidities present (number/clusters) and how these linked with pain intensity (0–100), widespread pain (site numbers), medication usage (paracetamol, nonsteroidal anti-inflammatory drugs, opioids), quality of life EuroQol five dimension scale (EQ-5D), and physical function (walking speed) using independent t-tests or χ 2 test.Results:Sixty-two percent of people with OA treated in primary care had at least one comorbidity; hypertension (37%), heart disease (8%), and diabetes (7%) being most common. Outcome measures worsened with more comorbidities (0–4+ comorbidities); pain intensity [mean (SD)] 46(22)–57(21); number of painful sites 3.7(3.0)–6.3(5.4); quality of life 0.73(0.10)–0.63(0.15); walking speed 1.57 m/s (0.33)–1.24 m/s (0.31), while the proportion of people using pain medication increased from 0 to 2 comorbidities (58–69%; p < 0.001), with an increase in opioid use from 4.6% to 19.5% with more comorbidities (0–4+ comorbidities).Conclusion:Most people with knee or hip OA in primary care have at least one other long-term condition. A greater number of comorbidities is linked with worsening health, highlighting the importance of screening for comorbidities when treating patients with OA. It is important for clinicians to consider how OA treatments will interact and affect other common comorbidities.

Background:Child maltreatment is associated with long-term conditions (LTCs) in adulthood. Its relationship to multimorbidity (≥2 LTCs) is less clear. We explore the relationship between child maltreatment, multimorbidity and factors complicating management.Methods:Cross-sectional analysis of 157,357 UK Biobank participants. Experience of four maltreatment types (physical/sexual/emotional/neglect) was identified. We explored the relationship between type, number and frequency of maltreatment and LTC count (0, 1, 2, 3, ≥4) using multinomial logistic regression. Binary logistic regression assessed the relationship between maltreatment and self-rated health, loneliness, social isolation, frailty and widespread pain in those with multimorbidity, adjusting for sociodemographics and lifestyle factors.Results:52,675 participants (33%) experienced ≥1 type of maltreatment; 983 (0.6%) experienced all four. Type, frequency and number of types of maltreatment were associated with higher LTC count. People experiencing four types of maltreatment were 5 times as likely to have a LTC count of ≥4 as those experiencing none (odds ratio (OR): 5.16; 99% confidence interval (CI): 3.77-7.07). Greater number of types of maltreatment was associated with higher prevalence of combined physical/mental health LTCs (OR: 2.99; 99% CI: 2.54–3.51 for four types of maltreatment). Compared to people who reported no maltreatment, people experiencing all four types of maltreatment were more likely to have poor self-rated health (OR: 3.56; 99% CI: 2.58–4.90), loneliness (OR: 3.16; 99% CI: 2.17–4.60), social isolation (OR: 1.45; 99% CI: 1.03–2.05), widespread pain (OR: 3.19; 99% CI: 1.87–5.44) and frailty (OR: 3.21; 99% CI: 2.04–5.05).Conclusion:Peoplewith a history of maltreatment have higher LTC counts and potentially more complicated management needs reinforcing calls for early intervention.