Multimorbidity, health care utilization and costs in an elderly community-dwelling population: a claims data based observational study

A new era of HIV care for age-associated multimorbidity

PURPOSE OF REVIEW

The management of people with HIV has shifted focus from acute AIDS-defining illness towards improving detection of chronic disease and reducing impact of multimorbidity. In this review, we explore this shifting paradigm of HIV care and the evidence for alternative models proposed to provide integrated holistic services for people with HIV (PWH) with multimorbidity.

RECENT FINDINGS

Despite 25 years of the antiretroviral treatment (ART) era an increased incidence of noncommunicable disease (NCD) and multimorbidity in PWH persists. As the world moves closer to universal ART coverage this phenomenon is now reported in low- and middle-income settings. Multimorbidity affects PWH disproportionately compared to the general population and results in reduced health related quality of life (HRQoL), greater hospitalization and higher mortality. There is evidence that NCD care provision and outcomes may be inferior for PWH than their HIV negative counterparts. Various models of integrated multimorbidity care have developed and are grouped into four categories; HIV specialist clinics incorporating NCD care, primary care services incorporating HIV care, community NCD clinics offering integrated HIV care, and multidisciplinary care integrated with HIV in secondary care. Evidence is limited as to the best way to provide multimorbidity care for PWH.

SUMMARY

A new era of HIV care for an ageing population with multimorbidity brings challenges for health providers who need to develop holistic patient focused services which span a range of coexisting conditions.

Using HbA1c measurements and the Finnish Diabetes Risk Score to identify undiagnosed individuals and those at risk of diabetes in primary care

BACKGROUND

Prevalence of prediabetes and type 2 diabetes mellitus (T2DM) is increasing worldwide. The objective of this study was to determine the proportion of people in Northern Iceland with prediabetes, at risk of developing T2DM or with manifest undiagnosed T2DM, as this information is lacking in Iceland.

METHODS

A cross-sectional study. Clients of the three largest primary health care centres in the Health Care Institution of North Iceland (HSN) were invited to participate if fulfilling the following inclusion criteria: a) aged between 18 and 75 years, b) not diagnosed with diabetes, c) speaking and understanding Icelandic or English fluently and d) living in the included service area. Data collection took place via face-to-face interviews between 1 March 2020 and 15 May 2021. Participation included answering the Finnish Diabetes Risk Score (FINDRISC), measuring the HbA1c levels and background information.

RESULTS

Of the 220 participants, 65.9% were women. The mean age was 52.1 years (SD ± 14.1) and FINDRISC scores were as follows: 47.3% scored ≤8 points, 37.2% scored between 9 and 14 points, and 15.5% scored between 15 and 26 points. The mean HbA1c levels in mmol/mol, were 35.5 (SD ± 3.9) for men and 34.4 (SD ± 3.4) for women, ranging from 24 to 47. Body mass index ≥30 kg/m² was found in 32% of men and 35.9% of women. Prevalence of prediabetes in this cohort was 13.2%. None of the participants had undiagnosed T2DM. Best sensitivity and specificity for finding prediabetes was by using cut-off points of ≥11 on FINDRISC, which gave a ROC curve of 0.814.

CONCLUSIONS

The FINDRISC is a non-invasive and easily applied screening instrument for prediabetes. Used in advance of other more expensive and invasive testing, it can enable earlier intervention by assisting decision making, health promotion actions and prevention of the disease burden within primary health care.

TRIAL REGISTRATION

This study is a pre-phase of the registered study "Effectiveness of Nurse-coordinated Follow up Program in Primary Care for People at risk of T2DM" at www.

CLINICALTRIALS

gov (NCT01688359). Registered 30 December 2020.

Geriatrician-led multidisciplinary team management improving polypharmacy among older inpatients in China

Background/Aim: Polypharmacy is prevalent among older inpatients and associated with adverse outcomes. To determine whether a geriatrician-led multidisciplinary team (MDT) management mode could reduce medications use among older inpatients. Methods: A retrospective cohort study was conducted in a geriatric department of a tertiary hospital in China with 369 older inpatients, including 190 patients received MDT management (MDT cohort), and 179 patients received usual treatment (non-MDT cohort). The primary outcome was to compare the changes of the amount of medications before and after hospitalization in two cohorts. Results: We reported that MDT management significantly reduced the number of medications used in older inpatients at discharge (at home: n = 7 [IQR: 4, 11] vs at discharge: n = 6 [IQR: 4, 8], p < 0.05). Hospitalization with the MDT management had a significant effect on the change in the amount of medications (F = 7.813, partial-η² = 0.011, p = 0.005). The discontinuance of medications was associated with polypharmacy at home (OR: 96.52 [95% CI: 12.53-743.48], p < 0.001), and the addition of medications was associated with a diagnosis of chronic obstructive pulmonary disease (COPD) (OR: 2.36 [95% CI: 1.02-5.49], p = 0.046). Conclusion: The results indicated that the geriatrician-led MDT mode during hospitalization could reduce the number of medications used by older patients. The patients with polypharmacy were more likely to "deprescription" after MDT management, while the patients with COPD were more likely to be under-prescription at home, polypharmacy which could be made up for after MDT management.

Impact of Socio-demographic Characteristics on Time in Outpatient Cardiology Clinics: A Retrospective Analysis

Inequitable access to health services influences health outcomes. Some studies have found patients of lower socio-economic status (SES) wait longer for surgery, but little data exist on access to outpatient services. This study analyzed patient-level data from outpatient public cardiology clinics and assessed whether low SES patients spend longer accessing ambulatory services. Retrospective analysis of cardiology clinic encounters across 3 public hospitals between 2014 and 2019 was undertaken. Data were linked to age, gender, Indigenous status, country of birth, language spoken at home, number of comorbidities, and postcode. A cox proportional hazards model was applied adjusting for visit type (new/follow up), clinic, and referral source. Higher hazard ratio (HR) indicates shorter clinic time. Overall, 22 367 patients were included (mean [SD] age 61.4 [15.2], 14 925 (66.7%) male). Only 7823 (35.0%) were born in Australia and 8452 (37.8%) were in the lowest SES quintile. Median total clinic time was 84 min (IQR 58-130). Visit type, clinic, and referral source were associated with clinic time (R² = 0.23, 0.35, 0.20). After adjusting for these variables, older patients spent longer in clinic (HR 0.94 [0.90-0.97]), though there was no difference according to SES (HR 1.02 [0.99-1.06]) or other variables of interest. Time spent attending an outpatient clinic is substantial, amplifying an already significant time burden faced by patients with chronic health conditions. SES was not associated with longer clinic time in our analysis. Time spent in clinics could be used more productively to optimize care, improve health outcomes and patient experience.

Prediction of 30-Day Readmission in Hospitalized Older Adults Using Comprehensive Geriatric Assessment and LACE Index and HOSPITAL Score

(1) Background: Elders have higher rates of rehospitalization, especially those with functional decline. We aimed to investigate potential predictors of 30-day readmission risk by comprehensive geriatric assessment (CGA) in hospitalized patients aged 65 years or older and to examine the predictive ability of the LACE index and HOSPITAL score in older patients with a combination of malnutrition and physical dysfunction. (2) Methods: We included patients admitted to a geriatric ward in a tertiary hospital from July 2012 to August 2018. CGA components including cognitive, functional, nutritional, and social parameters were assessed at admission and recorded, as well as clinical information. The association factors with 30-day hospital readmission were analyzed by multivariate logistic regression analysis. The predictive ability of the LACE and HOSPITAL score was assessed using receiver operator characteristic curve analysis. (3) Results: During the study period, 1509 patients admitted to a ward were recorded. Of these patients, 233 (15.4%) were readmitted within 30 days. Those who were readmitted presented with higher comorbidity numbers and poorer performance of CGA, including gait ability, activities of daily living (ADL), and nutritional status. Multivariate regression analysis showed that male gender and moderately impaired gait ability were independently correlated with 30-day hospital readmissions, while other components such as functional impairment (as ADL) and nutritional status were not associated with 30-day rehospitalization. The receiver operating characteristics for the LACE index and HOSPITAL score showed that both predicting scores performed poorly at predicting 30-day hospital readmission (C-statistic = 0.59) and did not perform better in any of the subgroups. (4) Conclusions: Our study showed that only some components of CGA, mobile disability, and gender were independently associated with increased risk of readmission. However, the LACE index and HOSPITAL score had a poor discriminating ability for predicting 30-day hospitalization in all and subgroup patients. Further identifiers are required to better estimate the 30-day readmission rates in this patient population.

Identifying common patterns of health services use: a longitudinal study of older Swiss adults' care trajectories

BACKGROUND

Population ageing puts pressure on health systems initially designed to handle acute and episodic illnesses. Segmenting an ageing population based on its healthcare utilization may enable policymakers to undertake evidence-based resource planning. We aimed to derive a typology of healthcare utilization trajectories in Swiss older adults.

METHODS

Our work used data from the Lc65 + study, a population-based cohort of individuals aged 65 to 70 years at enrolment. The dimensions of healthcare utilization considered were ambulatory care, emergency care, hospitalizations, professional home care and nursing home stay. We applied the Sequence Analysis framework, within which we quantified the variation between each multidimensional pair of sequences, implemented a clustering procedure that grouped together older persons with similar profiles of health services use, and characterized clusters of individuals using selected baseline covariates.

RESULTS

Healthcare utilization trajectories were analysed for 2271 community-dwelling older adults over a period of 11 years. Six homogeneous subgroups were identified: constant low utilization (83.3% of participants), increased utilization (4.9%), late health deterioration (4.4%), ambulatory care to nursing home (1.5%), early fatal event (3.8%) and high ambulatory care (2.1%). Associations were found between cluster membership and age, sex, household composition, self-perceived health, grip strength measurement, comorbidities, and functional dependency.

CONCLUSIONS

The heterogeneous healthcare utilization profiles can be clustered into six common patterns. Different manifestations of functional decline were apparent in two distinct trajectory groups featuring regular home care use. Furthermore, a small proportion of individuals with a unique set of characteristics was related to the highest levels of ambulatory and emergency care use. New research avenues are outlined to investigate time-varying effects of health factors inside the clusters containing most unfavourable outcomes.

Multimorbidity and long-term disability and physical functioning decline in middle-aged and older Americans: an observational study

BACKGROUND

Multimorbidity is highly prevalent and associated with several adverse health outcomes, including functional limitations. While maintaining physical functioning is relevant for all adults, identifying those with multimorbidity at risk for faster rates of physical functioning decline may help to target interventions to delay the onset and progression of disability. We quantified the association of multimorbidity with rates of long-term disability and objective physical functioning decline.

METHODS

In the Health and Retirement Study, we computed the Multimorbidity-Weighted Index (MWI) by assigning previously validated weights (based on physical functioning) to each chronic condition. We used an adjusted negative binomial regression to assess the association of MWI with disability (measured by basic and instrumental activities of daily living [ADLs, IADLs]) over 16 years, and linear mixed effects models to assess the association of MWI with gait speed and grip strength over 8 years.

RESULTS

Among 16,616 participants (mean age 67.3, SD 9.7 years; 57.8% women), each additional MWI point was associated with a 10% increase in incidence rate of disability (IRR: 1.10; 95%CI: 1.09, 1.10). In 2,748 participants with data on gait speed and grip strength, each additional MWI point was associated with a decline in gait speed of 0.004 m/s (95%CI: -0.006, -0.001). The association with grip strength was not statistically significant (-0.01 kg, 95%CI: -0.73, 0.04). The rate of decline increased with time for all outcomes, with a significant interaction between time and MWI for disability progression only.

CONCLUSION

Multimorbidity, as weighted on physical functioning, was associated with long-term disability, including faster rates of disability progression, and decline in gait speed. Given the importance of maintaining physical functioning and preserving functional independence, MWI is a readily available tool that can help identify adults to target early on for interventions.

Effectiveness of Tai Chi on older adults: A systematic review of systematic reviews with re-meta-analysis

This overview study examined and synthesized the effect of Tai Chi (TC) on the physical conditions, psychological conditions, cognitive abilities, and quality of life (QoL) of older adults. This study was performed in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020 statement. Using Cochrane Database of Systematic Reviews, Cochrane Central Register of Controlled Trials, Cochrane Methodology Register, PubMed, Scopus, and Web of Science, English-language systematic reviews (SRs) published within the latest decade (2010-2020) were included. SRs with meta-analysis were selected if TC was the examined intervention and older adults was the targeted population. A total of 16 SRs covering 89 original studies were included. A number of the pooled results of the included SRs were inconclusive. Taking into consideration of the new meta-analyses of this study, TC significantly improved most outcomes, including the mobility, pain level, physical function, psychological distress, depressive symptoms, anxiety, global cognitive function, mental speed and attention, learning ability, verbal fluency, executive function, and QoL of older adults. TC can be an effective intervention for older adults for improving physical and psychological conditions, cognitive abilities, and QoL. Additional high-quality studies with larger samples investigating the effectiveness of TC in older adults are warranted.

Multimorbidity and catastrophic health expenditure: Evidence from the China Health and Retirement Longitudinal Study

Background

Population aging accompanied by multimorbidity imposes a great burden on households and the healthcare system. This study aimed to determine the incidence and determinants of catastrophic health expenditure (CHE) in the households of old people with multimorbidity in China.

Methods

Data were obtained from the China Health and Retirement Longitudinal Study (CHARLS) conducted in 2018, with 3,511 old people (≥60 years) with multimorbidity responding to the survey on behalf of their households. CHE was identified using two thresholds: ≥10% of out-of-pocket (OOP) health spending in total household expenditure (THE) and ≥40% of OOP health spending in household capacity to pay (CTP) measured by non-food household expenditure. Logistic regression models were established to identify the individual and household characteristics associated with CHE incidence.

Results

The median values of THE, OOP health spending, and CTP reached 19,900, 1,500, and 10,520 Yuan, respectively. The CHE incidence reached 31.5% using the ≥40% CTP threshold and 45.6% using the ≥10% THE threshold. It increased by the number of chronic conditions reported by the respondents (aOR = 1.293-1.855, p < 0.05) and decreased with increasing household economic status (aOR = 1.622-4.595 relative the highest quartile, p < 0.001). Hospital admissions over the past year (aOR = 6.707, 95% CI: 5.186 to 8.674) and outpatient visits over the past month (aOR = 4.891, 95% CI: 3.822 to 6.259) of the respondents were the strongest predictors of CHE incidence. The respondents who were male (aOR = 1.266, 95% CI: 1.054 to 1.521), married (OR = 1.502, 95% CI: 1.211 to 1.862), older than 70 years (aOR = 1.288-1.458 relative to 60-69 years, p < 0.05), completed primary (aOR = 1.328 relative to illiterate, 95% CI: 1.079 to 1.635) or secondary school education (aOR = 1.305 relative to illiterate, 95% CI: 1.002 to 1.701), lived in a small (≤2 members) household (aOR = 2.207, 95% CI: 1.825 to 2.669), and resided in the northeast region (aOR = 1.935 relative to eastern, 95% CI: 1.396 to 2.682) were more likely to incur CHE.

Conclusion

Multimorbidity is a significant risk of CHE. Household CHE incidence increases with the number of reported chronic conditions. Socioeconomic and regional disparities in CHE incidence persist in China.

The Required Competencies of Bachelor- and Master-Educated Nurses in Facilitating the Development of an Effective Workplace Culture in Nursing Homes: An Integrative Review

BACKGROUND

Nursing home care is undergoing significant changes. This requires innovative teams operating in an effective workplace culture characterized by person-centeredness and offering evidence-based care. A pivotal role for bachelor- and master-educated nurses (BNs/MNs) is foreseen to facilitate such cultures; however, there is currently no comprehensive overview of what competencies this requires.

OBJECTIVES

To identify what competencies are required from BNs/MNs in facilitating the development of an effective workplace culture in nursing homes.

METHODS AND DESIGN

We conducted an integrative review (IR) using Whittemore and Knafl's method. We searched the PubMed, CINAHL, and PsycINFO databases for studies published between January 2010 and December 2021 in English. Two independent reviewers determined whether studies met inclusion: bachelor- or master-educated nurse; nursing home; professional competencies; and mixed methods or qualitative and qualitative studies. We applied the CASP appraisal tool and analyzed the data by applying content analysis.

RESULTS

Sixteen articles were included. Five themes were identified representing required competencies for BNs/MNs facilitating: (1) learning cultures in nursing practice; (2) effective work relationships within teams; (3) leadership capability within teams; (4) implementation of guidelines, standards, and protocols; (5) a work environment acknowledging grief and loss of residents within teams.

CONCLUSIONS

It shows that the BN/MN applies five competencies associated with a facilitator role to promote the development of an effective workplace culture to achieve a safe, high-level quality of care, satisfaction, and well-being. An overarching leadership as a change champion will support teams to achieve a quality that should guide the transformation in nursing care.

Digital Health Interventions for Depression and Anxiety Among People With Chronic Conditions: Scoping Review

BACKGROUND

Chronic conditions are characterized by their long duration (≥1 year), need for ongoing medical attention, and limitations in activities of daily living. These can often co-occur with depression and anxiety as common and detrimental comorbidities among the growing population living with chronic conditions. Digital health interventions (DHIs) hold promise in overcoming barriers to accessing mental health support for these individuals; however, the design and implementation of DHIs for depression and anxiety in people with chronic conditions are yet to be explored.

OBJECTIVE

This study aimed to explore what is known in the literature regarding DHIs for the prevention, detection, or treatment of depression and anxiety among people with chronic conditions.

METHODS

A scoping review of the literature was conducted using the Arksey and O'Malley framework. Searches of the literature published in 5 databases between 1990 and 2019 were conducted in April 2019 and updated in March 2021. To be included, studies must have described a DHI tested with, or designed for, the prevention, detection, or treatment of depression or anxiety in people with common chronic conditions (arthritis, asthma, diabetes mellitus, heart disease, chronic obstructive pulmonary disease, cancer, stroke, and Alzheimer disease or dementia). Studies were independently screened by 2 reviewers against the inclusion and exclusion criteria. Both quantitative and qualitative data were extracted, charted, and synthesized to provide a descriptive summary of the trends and considerations for future research.

RESULTS

Database searches yielded 11,422 articles across the initial and updated searches, 53 (0.46%) of which were included in this review. DHIs predominantly sought to provide treatment (44/53, 83%), followed by detection (5/53, 9%) and prevention (4/53, 8%). Most DHIs were focused on depression (36/53, 68%), guided (32/53, 60%), tailored to chronic physical conditions (19/53, 36%), and delivered through web-based platforms (20/53, 38%). Only 2 studies described the implementation of a DHI.

CONCLUSIONS

As a growing research area, DHIs offer the potential to address the gap in care for depression and anxiety among people with chronic conditions; however, their implementation in standard care is scarce. Although stepped care has been identified as a promising model to implement efficacious DHIs, few studies have investigated the use of DHIs for depression and anxiety among chronic conditions using such models. In developing stepped care, we outlined DHI tailoring, guidance, and intensity as key considerations that require further research.

The emergence of multimorbidity as a matter of concern: a critical review

Multimorbidity is considered one of the greatest emerging challenges for contemporary health care systems. However, the meaning of the term ‘multimorbidity’ is not straightforward. Despite many attempts to clarify the definition and its measurement, the concept remains elusive. Still, academic interest in the study of multimorbidity has grown exponentially in the past ten years. In this paper, we trace the emergence of multimorbidity as a ‘matter of concern’ within health care research, exploring what has been called ‘the multimorbidity epidemic’ in the context of changing disease categories. We analyse how multimorbidity as a concept lays bare some major unresolved challenges within contemporary care services and summons up traditional primary care ideals of holistic, person-centred care. However, we argue that the current focus on the measurement and the identification of disease clusters falls short in contributing to better care for people who live with multiple long-term conditions now. Instead, we propose a novel understanding of ‘multimorbidity’ as an experience that manifests through people’s navigations of care infrastructures. To study this experience of multimorbidity, we discuss the potential of social science approaches that focus on ‘living well’ with illness.

Multimorbidity, healthcare use and catastrophic health expenditure by households in India: a cross-section analysis of self-reported morbidity from national sample survey data 2017-18

BACKGROUND

The purpose of this research is to generate new evidence on the economic consequences of multimorbidity on households in terms of out-of-pocket (OOP) expenditures and their implications for catastrophic OOP expenditure.

METHODS

We analyzed Social Consumption Health data from National Sample Survey Organization (NSSO) 75th round conducted in the year 2017-2018 in India. The sample included 1,13,823 households (64,552 rural and 49,271 urban) through a multistage stratified random sampling process. Prevalence of multimorbidity and related OOP expenditure were estimated. Using Coarsened Exact Matching (CEM) we estimated the mean OOP expenditure for individuals reporting multimorbidity and single morbidity for each episode of outpatient visits and hospital admission. We also estimated implications in terms of catastrophic OOP expenditure for households.

RESULTS

Results suggest that outpatient OOP expenditure is invariably lower in the presence of multimorbidity as compared with single conditions of the selected Non-Communicable Diseases(NCDs) (overall, INR 720 [USD 11.3] for multimorbidity vs. INR 880 [USD 14.8] for single). In the case of hospitalization, the OOP expenditures were mostly higher for the same NCD conditions in the presence of multimorbidity as compared with single conditions, except for cancers and cardiovascular diseases. For cancers and cardiovascular, OOP expenditures in the presence of multimorbidity were lower by 39% and 14% respectively). Furthermore, around 46.7% (46.674-46.676) households reported incurring catastrophic spending (10% threshold) because of any NCD in the standalone disease scenario which rose to 63.3% (63.359-63.361) under the multimorbidity scenario. The catastrophic implications of cancer among individual diseases was the highest.

CONCLUSIONS

Multimorbidity leads to high and catastrophic OOP payments by households and treatment of high expenditure diseases like cancers and cardiovascular are under-financed by households in the presence of competing multimorbidity conditions. Multimorbidity should be considered as an integrated treatment strategy under the existing financial risk protection measures (Ayushman Bharat) to reduce the burden of household OOP expenditure at the country level.

Measuring the Quality of Care for Older Adults With Multimorbidity: Results of the MULTIqual Project

BACKGROUND AND OBJECTIVES

Providing health care for older adults with multimorbidity is often complex, challenging, and prone to fragmentation. Although clinical decision making should take into account treatment interactions, individual burden, and resources, current approaches to assessing quality of care mostly rely on indicators for single conditions. The aim of this project was to develop a set of generic quality indicators for the management of patients aged 65 and older with multimorbidity that can be used in both health care research and clinical practice.

RESEARCH DESIGN AND METHODS

Based on the findings of a systematic literature review and eight focus groups with patients with multimorbidity and their family members, we developed candidate indicators. Identified aspects of quality were mapped to core domains of health care to obtain a guiding framework for quality-of-care assessment. Using nominal group technique, indicators were rated by a multidisciplinary expert panel (n = 23) following standardized criteria.

RESULTS

We derived 47 candidate quality indicators from the literature and 4 additional indicators from the results of the focus groups. The expert panel selected a set of 25 indicators, which can be assigned to the levels of patient factors, patient-provider communication, and context and organizational structures of the conceptual framework.

DISCUSSION AND IMPLICATIONS

We developed a comprehensive indicator set for the management of multimorbidity that can help to highlight areas with potential for improving the quality of care and support application of multimorbidity guidelines. Furthermore, this study may serve as a blueprint for participatory designs in the development of quality indicators.

Relationship between multimorbidity and composite lifestyle status in Shenzhen, China

Objective

The study aimed to understand multimorbidity among adults in a high-tech city in southern coastal China that has undergone rapid economic development and to investigate its relationship with lifestyle status.

Methods

A population-based survey was conducted among 24 community centers in the Nanshan District of Shenzhen from February to December of 2018. Participants were recruited using a stratified random sampling approach. A self-administered questionnaire on typical chronic diseases, lifestyle factors, body composition, and social demographics was used to collect data. Multimorbidity was defined as two or more chronic diseases coexisting in a single person. An algorithm on body mass index, physical activity, drinking, smoking, and sleep quality was used to calculate lifestyle scores (0-9), with higher scores predicting a healthier lifestyle.

Results

A total of 2,905 participants were included in the analysis, with men accounting for 52.4%, and single for 25%. The prevalence of multimorbidity was 4.8%, and the mean lifestyle score was 4.79 ± 1.55. People who were old, retired, married, and had less education were more likely to have multimorbidity (all P < .05). A higher prevalence of multimorbidity was found among those who were obese, less engaged in physical activity, consumed more alcohol, and had poorer sleep quality (all p < .05). After adjusting for age, employment, education, and marital status, one unit increase in lifestyle score was associated with 0.74 times lower to have multimorbidity (OR: 0.74; 95% CI: 0.63-0.87, p < .05).

Conclusion

The prevalence of multimorbidity was relatively low in economically developed Shenzhen. Keeping a healthy lifestyle was related to the lower possibility of suffering from multiple chronic diseases.

Dietary patterns and prevalence of multimorbidity in women in southern Brazil

OBJECTIVE

This study aimed to investigate the association between dietary patterns and prevalence of multimorbidity in women.

METHODS

This population-based cross-sectional study was conducted in 2015 and included 1,128 women aged 20 to 69 years living in the urban area of São Leopoldo municipality, southern Brazil. Multimorbidity was defined as the presence of two or more chronic conditions, among the 26 identified. Poisson regression with robust variance was used to investigate the association between the three dietary patterns (healthy, risk, and Brazilian), using different models adjusted for sociodemographic, behavioral, and nutritional status variables.

RESULTS

The results showed differences in the prevalence of adherence to different dietary patterns and multimorbidity across age groups, with a prevalence of multimorbidity and a healthy dietary pattern showing a direct linear trend with age, whereas the risk dietary pattern showed an inverse linear trend with age. The prevalence of the Brazilian dietary pattern remained constant despite differences in age. After adjustment, we found that women with greater adherence to the Brazilian dietary pattern showed a 40% reduction in the prevalence of multimorbidity compared with those with less adherence (prevalence ratio, 0.60; 95% confidence interval, 0.40-0.86).

CONCLUSION

The results revealed that the prevalence of multimorbidity was significantly lower in women with greater adherence to the Brazilian dietary pattern and highlight the importance of dietary interventions in early adulthood as a way to prevent multimorbidity in women.

'Value-based methodology for person-centred, integrated care supported by Information and Communication Technologies' (ValueCare) for older people in Europe: study protocol for a pre-post controlled trial

Background

Older people receive care from multiple providers which often results in a lack of coordination. The Information and Communication Technology (ICT) enabled value-based methodology for integrated care (ValueCare) project aims to develop and implement efficient outcome-based, integrated health and social care for older people with multimorbidity, and/or frailty, and/or mild to moderate cognitive impairment in seven sites (Athens, Greece; Coimbra, Portugal; Cork/Kerry, Ireland; Rijeka, Croatia; Rotterdam, the Netherlands; Treviso, Italy; and Valencia, Spain). We will evaluate the implementation and the outcomes of the ValueCare approach. This paper presents the study protocol of the ValueCare project; a protocol for a pre-post controlled study in seven large-scale sites in Europe over the period between 2021 and 2023.

Methods

A pre-post controlled study design including three time points (baseline, post-intervention after 12 months, and follow-up after 18 months) and two groups (intervention and control group) will be utilised. In each site, (net) 240 older people (120 in the intervention group and 120 in the control group), 50–70 informal caregivers (e.g. relatives, friends), and 30–40 health and social care practitioners will be invited to participate and provide informed consent. Self-reported outcomes will be measured in multiple domains; for older people: health, wellbeing, quality of life, lifestyle behaviour, and health and social care use; for informal caregivers and health and social care practitioners: wellbeing, perceived burden and (job) satisfaction. In addition, implementation outcomes will be measured in terms of acceptability, appropriateness, feasibility, fidelity, and costs. To evaluate differences in outcomes between the intervention and control group (multilevel) logistic and linear regression analyses will be used. Qualitative analysis will be performed on the focus group data.

Discussion

This study will provide new insights into the feasibility and effectiveness of a value-based methodology for integrated care supported by ICT for older people, their informal caregivers, and health and social care practitioners in seven different European settings.

Trial registration

ISRCTN registry number is 25089186. Date of trial registration is 16/11/2021.

Examining the prevalence and correlates of multimorbidity among community-dwelling older adults: cross-sectional evidence from the Canadian Longitudinal Study on Aging (CLSA) first-follow-up data

INTRODUCTION

multimorbidity has become an increasingly important issue for many populations around the world, including Canada. The objectives of this study were to estimate the prevalence of multimorbidity at first follow-up and to identify factors associated with multimorbidity using data from the Canadian Longitudinal Study on Aging (CLSA).

METHODS

this study included 27,701 community-dwelling participants in the first follow-up of the CLSA. Multimorbidity was operationalised using two definitions (Public Health and Primary Care), as well as the cut-points of two or more chronic conditions (MM2+) and three or more chronic conditions (MM3+). The prevalence of multimorbidity was calculated at first follow-up and multivariable regression models were used to identify correlates of multimorbidity occurrence.

RESULTS

the prevalence of multimorbidity at first follow-up was 32.3% among males and 39.3% among females when using the MM2+ Public Health definition, whereas the prevalence was 67.2% among males and 75.8% among females when using the MM2+ Primary Care definition. Older age, lower alcohol consumption, lower physical activity levels, dissatisfaction with sleep quality, dissatisfaction with life and experiencing social limitations due to health conditions were significantly associated with increased odds of multimorbidity for both males and females, regardless of the definition of multimorbidity used.

CONCLUSION

various sociodemographic, behavioural and psychosocial factors are associated with multimorbidity. Future research should continue to examine how the prevalence of multimorbidity changes with time and how these changes may be related to specific risk factors. This future research should be supplemented with studies examining the longitudinal impacts of multimorbidity over time.

Self-perceived health and functional status of older people: Telephone-based lifestyle survey of older adults in Tehran province

Background: The prevalence study of health conditions can help policy makers to document base policymaking. This study aimed to reveal the health status, including the prevalence of geriatric syndrome health conditions such as activity of daily livings, pain, and physical and mental health of older adults in Tehran province.

Methods: This cross-sectional study was a telephone survey with older people ≥60 years old using a systematic random sampling of telephone numbers in Tehran province. The Persian version of the Katz’ activity of daily living (ADL) and the Lawton’s instrumental activity of daily living (IADL) questionnaires were used to evaluate the functional status. Pain, history of chronic diseases, continence, hospital admission, sensory problems, and self-perceived health (SPH) were asked by trained nurses or gerontologists thorough telephone interviews.

Results: In this study, 1251 older adults with the mean age of 67.03±7.51 years have been recruited. About 64.50% (95% CI: 64.4-64.6) of them were totally independent according to ADL (female=60.02% and male=68.50%), and about 40.50% (95% CI: 40.4-40.5) were independent based on IADL domains (female=39.41% and male=41.80). The dependency rates in ADL increased with the aging of population. Joint pain was the most prevalent type of pains and near to 26.00% (95% CI: 64.4-64.6) of the participants suffered moderate joint pains. About 71.5% (95% CI: 71.4-71.5) of the participants were urinary continent (female=67.66% and male=76.06%), and 91.9% (95% CI: 91.9-92.0) had bowel control (female=91.47% and male=92.94%) and the prevalence of incontinence increased by advancing age. Only 26.70% (95% CI: 26.6-26.8) of the participants reported excellent and good levels of perceived health status (female=21.98% and male=31.48%) and about 26.2% (95% CI: 26.1-26.2) of them reported some degree of visual impairment.

Conclusion: The results of the present study can provide a good view about the health profile of older adults, including pain, functional status, sphincter control, chronic diseases, sensory status, and SPH. Future studies should prioritize SPH as an important predictor of mortality rates.

Psychological distress, multimorbidity and health services among older adults in rural South Australia

OBJECTIVE

Psychological distress may relate to higher health services use. However, data on psychological distress and health services use among rural older adults are limited. This study investigates psychological distress in older adults (aged ≥60) and evaluates the relationship between psychological distress, multimorbidity and health services utilization.

DESIGN

A cross-sectional design was adopted using data on older adults (≥60) (n = 5920) from the South Australia's 2013-2017 population health survey. The Modified Monash Model MM2-7 was used to designate rural areas. The dataset provides information on reported physical health conditions, psychological distress, and patterns of health services use. The Kessler Psychological Distress Scale (K10) was used to compute scores for reported mental health disorders in this population.

RESULTS

The mean (SD) age of the study participants was 72.1 (8.1) years. Women constituted 58.8% of the sample. The mean (SD) score for psychological distress was 12.5 (3.6). One-fourth (33.7%) report one-chronic condition, 20.4% reported 2 chronic conditions and 13% had more than 3 chronic conditions. High psychological distress was associated with female gender (χ² = 14.4, p < 0.001), <80 years (χ² = 11.7, p = 0.019), lower education (χ² = 10.9, p = 0.027). Similarly, multimorbidity was associated with female gender (χ² = 51.1, p < 001), increasing age (χ² = 173.6, p < 0.001) and lower education (χ² = 28.8 p < 0.001). Psychological distress and multimorbidity were independently associated with health service use. High psychological distress was associated with general practitioner (GP) visit (odds ratio 3.6 (95% CI 2.6-5.1), p < 0.001), emergency department (ED) visit (odds ratio 2.5 (95% CI 1.2-5.0), p < 0.001) and hospital admission (odds ratio 2.3 (95% CI 1.3-4.3), p < 0.001). Multimorbidity was associated with general practitioner (GP) visit (odds ratio 6.8 (95% CI 5.6-8.3), p < 0.001), emergency department (ED) visit (odds ratio 2.5 (95% CI 1.4-4.3), p < 0.001) and hospital admission (odds ratio 3.1 (95% CI 1.9-5.1), p < 0.001). Model included age, gender, education, number of chronic condition and psychological distress.

CONCLUSION/IMPLICATION

Psychological distress and multimorbidity were independently associated with health services use. Thus, psychological distress, particularly in the presence of multimorbidity, presents an opportunity for intervention by clinicians that may reduce the demand on rural health services.

Multimorbidity patterns and hospitalisation occurrence in adults and older adults aged 50 years or over

Multimorbidity is highly prevalent in older adults and can lead to hospitalisation. We investigate the prevalence, associated factors, and multimorbidity pattern associated to hospitalisation, readmission, and length of stay in the population aged 50 years and older. We analysed baseline data (2015–2016) from the ELSI-Brazil cohort, a representative sample of non-institutionalised Brazilians aged ≥ 50 years. In total, 8807 individuals aged ≥ 50 years were included. Poisson regression with robust variance adjusted for confounders was used to verify the associations with hospitalisation. Multiple linear regression was used to analyse the associations with readmission and length of stay. Network analysis was conducted using 19 morbidities and the outcome variables. In 8807 participants, the prevalence of hospitalisation was 10.0% (95% CI 9.1, 11), mean readmissions was 1.55 ± 1.191, and mean length of stay was 6.43 ± 10.46 days. Hospitalisation was positively associated with male gender, not living with a partner, not having ingested alcoholic beverages in the last month, and multimorbidity. For hospital readmission, only multimorbidity ≥ 3 chronic conditions showed a statistically significant association. Regarding the length of stay, the risk was positive for males and negative for living in rural areas. Five disease groups connected to hospitalisation, readmission and length of stay were identified. To conclude, sociodemographic variables, such as gender, age group, and living in urban areas, and multimorbidity increased the risk of hospitalisation, mean number of readmissions, and mean length of stay. Through network analysis, we identified the groups of diseases that increased the risk of hospitalisation, readmissions, and length of stay.

Age, multimorbidity and dementia with health care costs in older people in Alberta: a population-based retrospective cohort study

BACKGROUND

The growing burden associated with population aging, dementia and multimorbidity poses potential challenges for the sustainability of health systems worldwide. We sought to examine how the intersection among age, dementia and greater multimorbidity is associated with health care costs.

METHODS

We did a retrospective population-based cohort study in Alberta, Canada, with adults aged 65 years and older between April 2003 and March 2017. We identified 31 morbidities using algorithms (30 algorithms were validated), which were applied to administrative health data, and assessed costs associated with hospital admission, provider billing, ambulatory care, medications and long-term care (LTC). Actual costs were used for provider billing and medications; estimated costs for inpatient and ambulatory patients were based on the Canadian Institute for Health Information's resource intensive weights and Alberta's cost of a standard hospital stay. Costs for LTC were based on an estimated average daily cost.

RESULTS

There were 827 947 people in the cohort. Dementia was associated with higher mean annual total costs and individual mean component costs for almost all age categories and number of comorbidities categories (differences in total costs ranged from $27 598 to $54 171). Similarly, increasing number of morbidities was associated with higher mean total costs and component costs (differences in total costs ranged from $4597 to $10 655 per morbidity). Increasing age was associated with higher total costs for people with and without dementia, driven by increasing LTC costs (differences in LTC costs ranged from $115 to $9304 per age category). However, there were no consistent trends between age and non-LTC costs among people with dementia. When costs attributable to LTC were excluded, older age tended to be associated with lower costs among people with dementia (differences in non-LTC costs ranged from -$857 to -$7365 per age category).

INTERPRETATION

Multimorbidity, older age and dementia were all associated with increased use of LTC and thus health care costs, but some costs among people with dementia decreased at older ages. These findings illustrate the complexity of projecting the economic consequences of the aging population, which must account for the interplay between multimorbidity and dementia.

Association between multimorbidity and hospitalization in older adults: systematic review and meta-analysis

Background

Multimorbidity is defined as the presence of multiple chronic conditions in the same individual. Multimorbidity is more prevalent in older adults and can lead to several adverse health outcomes.

Methods

We systematically reviewed evidence from observational studies to verify the association between multimorbidity and hospitalization in older adults. Furthermore, we also aimed to identify whether it changes according to gender, advanced age, institutionalization, and wealth of the country of residence. We searched the PubMed, Embase and Scopus databases from December 2020 to April 2021. The analysed outcomes were as follows: hospitalization, length of stay and hospital readmission.

Results

Of the 6,948 studies identified in the databases, 33 were included in this review. From the meta-analysis results, it was found that multimorbidity, regardless of the country’s wealth, was linked to hospitalization in older adults (OR = 2.52, CI 95% = 1.87–3.38). Both definitions of multimorbidity, ≥2 (OR = 2.35, 95% CI = 1.34–4.12) and ≥3 morbidities (OR = 2.52, 95% CI = 1.87–3.38), were associated with hospitalization. Regardless of gender, multimorbidity was associated with hospitalization (OR = 1.98, 95% CI = 1.67–2.34) and with readmission (OR = 1.07, 95% CI = 1.04–1.09). However, it was not possible to verify the association between multimorbidity and length of stay.

Conclusions

Multimorbidity was linked to a higher hospitalization risk, and this risk was not affected by the country’s wealth and patient’s gender. Multimorbidity was also linked to a higher hospital readmission rate in older adults. PROSPERO Registration (Registration number: CRD42021229328).

Advancing multimorbidity management in primary care: a narrative review

BACKGROUND

Multimorbidity, defined as the coexistence of two or more chronic conditions in the same individual, is becoming a crucial health issue in primary care. Patients with multimorbidity utilize health care at a higher rate and have higher mortality rates and poorer quality of life compared to patients with single diseases.

AIMS

To explore evidence on how to advance multimorbidity management, with a focus on primary care. Primary care is where a large number of patients with multimorbidity are managed and is considered to be a gatekeeper in many health systems.

METHODS

A narrative review was conducted using four major electronic databases consisting of PubMed, Cochrane, World Health Organization database, and Google scholar. In the first round of reviews, priority was given to review papers summarizing the current issues and challenges in the management of multimorbidity. Thematic analysis using an inductive approach was used to build a framework on how to advance management. The second round of review focused on original articles providing evidence within the primary care context.

RESULTS

The review found that advancing multimorbidity management in primary care requires a health system approach and a patient-centered approach. The health systems approach includes three major areas: (i) improves access to care, (ii) promotes generalism, and (iii) provides a decision support system. For the patient-centered approach, four key aspects are essential for multimorbidity management: (i) promoting doctor-patient relationship, (ii) prioritizing health problems and sharing decision-making, (iii) supporting self-management, and (iv) integrating care.Advancement of multimorbidity management in primary care requires integrating concepts of multimorbidity management guidelines with concepts of patient-centered and chronic care models. This simple integration provides an overarching framework for advancing the health care system, connecting the processes of individualized care plans, and integrating care with other providers, family members, and the community.

Establishment of a diagnostic model of coronary heart disease in elderly patients with diabetes mellitus based on machine learning algorithms

OBJECTIVE

To establish a prediction model of coronary heart disease (CHD) in elderly patients with diabetes mellitus (DM) based on machine learning (ML) algorithms.

METHODS

Based on the Medical Big Data Research Centre of Chinese PLA General Hospital in Beijing, China, we identified a cohort of elderly inpatients (≥ 60 years), including 10,533 patients with DM complicated with CHD and 12,634 patients with DM without CHD, from January 2008 to December 2017. We collected demographic characteristics and clinical data. After selecting the important features, we established five ML models, including extreme gradient boosting (XGBoost), random forest (RF), decision tree (DT), adaptive boosting (Adaboost) and logistic regression (LR). We compared the receiver operating characteristic curves, area under the curve (AUC) and other relevant parameters of different models and determined the optimal classification model. The model was then applied to 7447 elderly patients with DM admitted from January 2018 to December 2019 to further validate the performance of the model.

RESULTS

Fifteen features were selected and included in the ML model. The classification precision in the test set of the XGBoost, RF, DT, Adaboost and LR models was 0.778, 0.789, 0.753, 0.750 and 0.689, respectively; and the AUCs of the subjects were 0.851, 0.845, 0.823, 0.833 and 0.731, respectively. Applying the XGBoost model with optimal performance to a newly recruited dataset for validation, the diagnostic sensitivity, specificity, precision, and AUC were 0.792, 0.808, 0.748 and 0.880, respectively.

CONCLUSIONS

The XGBoost model established in the present study had certain predictive value for elderly patients with DM complicated with CHD.

Multimorbidity patterns and associated factors in older Chinese: results from the China health and retirement longitudinal study

Background

This study aimed to investigate multimorbidity patterns and their associated factors among elderly population in China.

Methods

A total of 10,479 participants aged at least 60 years were drawn from the 2018 wave of the China Health and Retirement Longitudinal Study (CHARLS). Latent class analysis (LCA) was performed to identify distinct multimorbidity classes based on 14 self-reported chronic conditions. The multinomial logit model was used to analyze the associated factors of multimorbidity patterns, focusing on individuals' demographic characteristics, socioeconomic status (SES), and health behaviors.

Results

Among the 10,479 participants (mean age [SD]: 69.1 [7.1]), 65.6% were identified with multimorbidity. Five multimorbidity clusters were identified by LCA: relatively healthy class (49.8%), vascular class (24.7%), respiratory class (5.6%), stomach-arthritis class (14.5%), and multisystem morbidity class (5.4%). Multinomial logit analysis with the relatively healthy class as the reference showed that participants of older age and female sex were more likely to be in the vascular class and multisystem morbidity class. The probability of being in the vascular class was significantly higher for those with high SES. Ever smoking was associated with a higher probability of being in the respiratory class and multisystem morbidity class. Physical activity was associated with lower odds of being assigned to the vascular class, respiratory class, and multisystem class.

Conclusion

The distinct multimorbidity patterns imply that the prevention and care strategy should target a group of diseases instead of a single condition. Prevention interventions should be paid attention to for individuals with risk factors.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12877-022-03154-9.

Incidence of multimorbidity and associated factors during the COVID-19 pandemic in Brazil: a cohort study

BACKGROUND

Due to the coronavirus disease 2019 (COVID-19) pandemic, access to healthcare services may have become difficult, which may have led to an increase in chronic diseases and multimorbidity.

OBJECTIVES

To assess the incidence of multimorbidity and its associated factors among adults living in the state of Rio Grande do Sul, Brazil.

DESIGN AND SETTING

Cohort study conducted in Rio Grande do Sul, Brazil.

METHODS

We included data from the two waves of the Prospective Study About Mental and Physical Health (PAMPA). Data were collected via online questionnaires between June and July 2020 (wave 1) and between December 2020 and January 2021 (wave 2). Multimorbidity was defined as the presence of two or more diagnosed medical conditions.

RESULTS

In total, 516 individuals were included, among whom 27.1% (95% confidence interval, CI: 23.5-31.1) developed multimorbidity from wave 1 to 2. In adjusted regression models, female sex (hazard ratio, HR: 1.97; 95% CI: 1.19-3.24), middle-aged adults (31-59 years) (HR: 1.78; 95% CI: 1.18-2.70) and older adults (60 or over) (HR: 2.41; 95% CI: 1.25-4.61) showed higher risk of multimorbidity. Back pain (19.4%), high cholesterol (13.3%) and depression (12.2%) were the medical conditions with the highest proportions reported by the participants during wave 2.

CONCLUSION

The incidence of multimorbidity during a six-month period during the COVID-19 pandemic was 27.1% in the state of Rio Grande do Sul, Brazil.

Clustering of comorbidities and associated outcomes in people with osteoarthritis - A UK Clinical Practice Research Datalink study

OBJECTIVE

To examine the clusters of chronic conditions present in people with osteoarthritis and the associated risk factors and health outcomes.

METHODS

Clinical Practice Research Datalink (CPRD) GOLD was used to identify people diagnosed with incident osteoarthritis (n = 221,807) between 1997 and 2017 and age (±2 years), gender, and practice matched controls (no osteoarthritis, n = 221,807) from UK primary care. Clustering of people was examined for 49 conditions using latent class analysis. The associations between cluster membership and covariates were quantified by odds ratios (OR) using multinomial logistic regression. General practice (GP) consultations, hospitalisations, and all-cause mortality rates were compared across the clusters identified at the time of first diagnosis of osteoarthritis (index date).

RESULTS

In both groups, conditions largely grouped around five clusters: relatively healthy; cardiovascular (CV), musculoskeletal-mental health (MSK-MH), CV-musculoskeletal (CV-MSK) and metabolic (MB). In the osteoarthritis group, compared to the relatively healthy cluster, strong associations were seen for 1) age with all clusters; 2) women with the MB cluster (OR 5.55: 5.14-5.99); 3) obesity with the CV-MSK (OR 2.11: 2.03-2.20) and CV clusters (OR 2.03: 1.97-2.09). The CV-MSK cluster in the osteoarthritis group had the highest number of GP consultations and hospitalisations, and the mortality risk was 2.45 (2.33-2.58) times higher compared to the relatively healthy cluster.

CONCLUSIONS

Of the five identified clusters, CV-MSK, CV, and MSK-MH are more common in OA and CV-MSK cluster had higher health utilisation. Further research is warranted to better understand the mechanistic pathways and clinical implications.

Physical multimorbidity and depression: A mediation analysis of influential factors among 34,129 adults aged ≥50 years from low- and middle-income countries

BACKGROUND

There is a scarcity of literature on the association between physical multimorbidity (i.e., ≥2 chronic physical conditions) and depression among older adults, especially from low- and middle-income countries (LMICs). In addition, the mediators in this association are largely unknown. Therefore, we aimed to examine this association among adults aged ≥50 years from six LMICs (China, Ghana, India, Mexico, Russia, and South Africa), and to identify potential mediators.

METHODS

Cross-sectional, nationally representative data from the Study on Global Ageing and Adult Health were analyzed. Depression was defined as past-12 months DSM-IV depression or receiving depression treatment in the last 12 months. Information on 11 chronic physical conditions were obtained. Multivariable logistic regression and mediation analyses were conducted.

RESULTS

Data on 34,129 individuals aged ≥50 years were analyzed [mean (SD) age 62.4 (16.0) years; maximum 114 years; 52.1% females]. Compared to no chronic conditions, 2, 3, 4, and ≥5 chronic conditions were associated with 2.55 (95% CI = 1.90-3.42), 3.12 (95% CI = 2.25-4.34), 5.68 (95% CI = 4.02-8.03), and 8.39 (95% CI = 5.87-12.00) times higher odds for depression. Pain/discomfort (% mediated 39.0%), sleep/energy (33.2%), mobility (27.5%), cognition (13.8%), perceived stress (7.3%), disability (6.7%), loneliness (5.5%), and food insecurity (1.5%) were found to be significant mediators in the association between physical multimorbidity and depression.

CONCLUSIONS

Older adults with physical multimorbidity are at increased odds of depression in LMICs. Future studies should assess whether addressing the identified potential mediators in people with physical multimorbidity can lead to reduction in depression in this population.

Effectiveness of a multi-component community-based care approach for older people at risk of care dependency - results of a prospective quasi-experimental study

Background

Due to demographic changes, the elderly population in western countries is constantly growing. As the risk of functional decline and multimorbidity increases with age, health care systems need to face the challenge of high demand for health care services and related costs. Therefore, innovative health care approaches and geriatric screenings are needed to provide individualised care. This study aims to expand the state of research by investigating the effectiveness of a multi-component care approach for the elderly in a German community setting.

Methods

A prospective, quasi-experimental study was initiated by statutory health insurance (SHI) companies. The innovative care approach includes a geriatric assessment, a case and network management as well as digital supporting tools and was implemented at the Center for Geriatrics and Gerontology (Albertinen Haus, Hamburg-Eimsbuettel). Participants of the intervention were compared to matched controls recruited in comparable urban areas. The primary outcome measure was the progression in long-term care grade during the period of observation (21 months), which was analysed on the basis of SHI claims data. Secondary endpoints were morbidity, mortality and self-reported health-related quality of life (HRQoL) measured by SF-36.

Results

Overall, 2,670 patients (intervention group (IG) n=873; control group (CG) n=1,797) were analysed. Logistic regression analysis showed no statistically significant difference in progression of long-term care grade between IG and CG (Odds Ratio (OR)=1.054; 95% confidence interval (CI) 0.856-1.296; p-value=0.616). Differentiated analyses indicated an initial effect, which might be attributable to the geriatric assessment. However, an adapted regression model resulted in a reversed but even non-significant effect (OR=0.945; 95% CI 0.757-1.177; p-value=0.619). While secondary analyses of long-term care grade, mortality and HRQoL did not show intervention effects, a statistically significant relative change of 0.865 (95% CI 0.780, 0.960; p-value=0.006) in morbidity indicated a potential benefit for the IG.

Conclusions

The analyses did not reveal a significant effect of the community-based intervention on the primary outcome and thus we are not able to recommend a transfer into SHI standard care. Tendencies in secondary analyses need to be proved in further research.

Trial registration

German Clinical Trials Register, retrospective registration on February 01, 2022 (DRKS00027866).

Supplementary Information

The online version contains supplementary material available at 10.1186/s12877-022-02923-w.

Effects of Changes in Multiple Chronic Conditions on Medical Costs among Older Adults in South Korea

This study aims to analyze the relationship between cognitive function and out-of-pocket cost of the state change of multiple chronic conditions in individuals aged 60 or older. Data from the 2014 to 2018 Korean Longitudinal Study of Aging were used for 2202 older adults who were cognitively “normal” at the start of the survey. Four status change groups were established (“Good → Good,” “Good → Bad,” “Bad → Good,” and “Bad → Bad”) according to the change in the number of chronic diseases. Generalized estimating equation modeling analyzed the association between these changes and out-of-pocket medical cost. Out-of-pocket cost was significantly higher among older adults with multiple chronic conditions (p < 0.0001). Total out-of-pocket medical cost and out-of-pocket cost for outpatient care and prescription drugs were significantly higher for Bad→ Bad or Good → Bad changes. Older adults with cognitive decline had significantly higher total out-of-pocket medical cost and out-of-pocket cost for prescription drugs. This study demonstrates the need to improve the multiple chronic conditions management construction model to enhance the health of older adults in Korea and secure national health care finances long-term. It provides a foundation for related medical and medical expenses-related systems.

Multimorbidity and its associated risk factors among older adults in India

Background

Health at older ages is a key public health challenge especially among the developing countries. Older adults are at greater risk of vulnerability due to their physical and functional health risks. With rapidly rising ageing population and increasing burden of non-communicable diseases older adults in India are at a greater risk for multimorbidities. Therefore, to understand this multimorbidity transition and its determinants we used a sample of older Indian adults to examine multimorbidity and its associated risk factors among the Indian older-adults aged 45 and above.

Methods

Using the sample of 72,250 older adults, this study employed the multiple regression analysis to study the risk factors of multimorbidity. Multimorbidity was computed based on the assumption of older-adults having one or more than one disease risks.

Results

Our results confirm the emerging diseases burden among the older adults in India. One of the significant findings of the study was the contrasting prevalence of multimorbidity among the wealthiest groups (AOR = 1.932; 95% CI = 1.824- 2.032). Similarly women were more likely to have a multimorbidity (AOR = 1.34; 95% CI = 1.282—1.401) as compared to men among the older adults in India.

Conclusion

Our results confirm an immediate need for proper policy measures and health system strengthening to ensure the better health of older adults in India.

HOSPITAL Score and LACE Index to Predict Mortality in Multimorbid Older Patients

Background

Estimating life expectancy of older adults informs whether to pursue future investigation and therapy. Several models to predict mortality have been developed but often require data not immediately available during routine clinical care. The HOSPITAL score and the LACE index were previously validated to predict 30-day readmissions but may also help to assess mortality risk. We assessed their performance to predict 1-year and 30-day mortality in hospitalized older multimorbid patients with polypharmacy.

Methods

We calculated the HOSPITAL score and LACE index in patients from the OPERAM (OPtimising thERapy to prevent Avoidable hospital admissions in the Multimorbid elderly) trial (patients aged ≥ 70 years with multimorbidity and polypharmacy, admitted to hospital across four European countries in 2016–2018). Our primary and secondary outcomes were 1-year and 30-day mortality. We assessed the overall accuracy (scaled Brier score, the lower the better), calibration (predicted/observed proportions), and discrimination (C-statistic) of the models.

Results

Within 1 year, 375/1879 (20.0%) patients had died, including 94 deaths within 30 days. The overall accuracy was good and similar for both models (scaled Brier score 0.01–0.08). The C-statistics were identical for both models (0.69 for 1-year mortality, p = 0.81; 0.66 for 30-day mortality, p = 0.94). Calibration showed well-matching predicted/observed proportions.

Conclusion

The HOSPITAL score and LACE index showed similar performance to predict 1-year and 30-day mortality in older multimorbid patients with polypharmacy. Their overall accuracy was good, their discrimination low to moderate, and the calibration good. These simple tools may help predict older multimorbid patients’ mortality after hospitalization, which may inform post-hospitalization intensity of care.

Heterogeneity in Longitudinal Healthcare Utilisation by Older Adults: A Latent Transition Analysis of the Irish Longitudinal Study on Ageing

BACKGROUND

Older adults likely exhibit considerable differences in healthcare need and usage. Identifying differences in healthcare utilisation both between and within individuals over time may support future service development.

OBJECTIVES

To characterise temporal changes in healthcare utilisation among a nationally representative sample of community-dwelling older adults.

METHODS

A latent transition analysis of the first three waves of The Irish Longitudinal Study on Ageing (TILDA) (N = 6128) was conducted.

RESULTS

Three latent classes of healthcare utilisation were identified, 'primary care only'; 'primary care and outpatient visits' and 'multiple utilisation'. The classes were invariant across all three waves. Transition probabilities indicated dynamic changes over time, particularly for the 'primary care and outpatient visits' and 'multiple utilisation' statuses.

DISCUSSION

Older adults exhibit temporal changes in healthcare utilisation which may reflect changes in healthcare need and disease progression. Further research is required to identify the factors which influence movement between healthcare utilisation patterns.

Continuity of care and multimorbidity in the 50+ Swiss population: An analysis of claims data

Objective

To assess the relationship between continuity of care (COC) and multimorbidity in the older general population in Switzerland, accounting for relevant determinants of COC, and to apply various expressions of multimorbidity derived from claims data.

Methods

We used data on 240'000 insured individuals aged 50+ for the period 2015-2018, received from one of the largest Swiss health insurance company. We calculated Bice-Boxerman index based on all doctor visits (overall COC) and visits to the general practitioners (COC GP). We analyzed the relationship between COC and multimorbidity using generalized linear and probit models. To express multimorbidity, we applied three approaches based on pharmacy-cost groups (PCGs) assigned to an individual. First, we used simple PCG counts. Second, we expressed multimorbidity via clinically relevant disease groups derived from PCGs. Finally, a data-driven approach allowed defining distinct clusters representing different patient complexities.

Results

The association between overall COC and multimorbidity expressed in PCG counts was modest: COC among individuals with 3+ PCGs was 2 percentage points higher than COC among individuals with 0 PCGs. The approach of clinically relevant disease groups showed larger variation in COC and its association with multimorbidity. The data-driven approach showed that most complex ("high-cost high-need") individuals tended to have higher overall COC. Additionally, 70% of the sample visited exclusively one general practitioner (COC GP = 1.0). Other important factors associated with COC in the Swiss context were insurance model with gatekeeping, level of deductibles, and region of residence.

Conclusions

Multimorbid patients require regular medical attention often involving multiple healthcare providers, which can lead to varying COC, depending on types of doctors seen and specific condition of the patient. Insurance models with gatekeeping may facilitate COC, prompting developments of better-designed models of care. This represents important implications for policymakers, health insurance representatives, medical professionals and hospital managers.

Age- and Sex-Specific Differences in Multimorbidity Patterns and Temporal Trends on Assessing Hospital Discharge Records in Southwest China: Network-Based Study

Background

Multimorbidity represents a global health challenge, which requires a more global understanding of multimorbidity patterns and trends. However, the majority of studies completed to date have often relied on self-reported conditions, and a simultaneous assessment of the entire spectrum of chronic disease co-occurrence, especially in developing regions, has not yet been performed.

Objective

We attempted to provide a multidimensional approach to understand the full spectrum of chronic disease co-occurrence among general inpatients in southwest China, in order to investigate multimorbidity patterns and temporal trends, and assess their age and sex differences.

Methods

We conducted a retrospective cohort analysis based on 8.8 million hospital discharge records of about 5.0 million individuals of all ages from 2015 to 2019 in a megacity in southwest China. We examined all chronic diagnoses using the ICD-10 (International Classification of Diseases, 10th revision) codes at 3 digits and focused on chronic diseases with ≥1% prevalence for each of the age and sex strata, which resulted in a total of 149 and 145 chronic diseases in males and females, respectively. We constructed multimorbidity networks in the general population based on sex and age, and used the cosine index to measure the co-occurrence of chronic diseases. Then, we divided the networks into communities and assessed their temporal trends.

Results

The results showed complex interactions among chronic diseases, with more intensive connections among males and inpatients ≥40 years old. A total of 9 chronic diseases were simultaneously classified as central diseases, hubs, and bursts in the multimorbidity networks. Among them, 5 diseases were common to both males and females, including hypertension, chronic ischemic heart disease, cerebral infarction, other cerebrovascular diseases, and atherosclerosis. The earliest leaps (degree leaps ≥6) appeared at a disorder of glycoprotein metabolism that happened at 25-29 years in males, about 15 years earlier than in females. The number of chronic diseases in the community increased over time, but the new entrants did not replace the root of the community.

Conclusions

Our multimorbidity network analysis identified specific differences in the co-occurrence of chronic diagnoses by sex and age, which could help in the design of clinical interventions for inpatient multimorbidity.

Association Between Frailty and Inpatient Services Utilization Among Older Adults in Rural China: The Mediating Role of Multimorbidity

Introduction

Developed and developing countries have different health systems and disease patterns. There is little evidence that frailty is related to inpatient services utilization in developing countries. In addition, the underlying mechanism of this relationship also remains unclear. This study aimed to examine the association between frailty and inpatient services utilization, and further explore whether multimorbidity play a mediating role in this association.

Methods

A total of 3,242 rural older adults aged 60 and older were included in the analysis. Frailty was measured by the physical frailty phenotype (PFP). Multimorbidity and inpatient services utilization was measured based on participants' self-report and validated by village doctors. Ordered logistic regression analyses were performed to examine the association between frailty, multimorbidity and inpatient services utilization. Bootstrap analysis was further to explore the mediation effect of multimorbidity on frailty and inpatient services utilization.

Results

The utilization of inpatient services was 20.1% (one: 15.8%, two or more: 4.3%). The prevalence of prefrailty and frailty was 64.7 and 18.1%, respectively. Frail older adults experienced a higher risk of multimorbidity and inpatient services utilization. Multimorbidity partially mediated the association between frailty and inpatient services utilization [95% confidence interval (CI): 0.005-0.016, p < 0.001]. The mediating effect of multimorbidity accounted for 19.0% of the total effect.

Conclusions

Among Chinese rural older adults, frailty is associated with higher inpatient services utilization, and multimorbidity mediates this association. Recommendations are to increase frailty risk screening, chronic disease monitoring, and to do timely interventions.

Sociodemographic and behavioral influences on multimorbidity among adult residents of northeastern China

Background

Multimorbidity is defined as two or more chronic health conditions existing in an individual simultaneously. Multimorbidity has been associated with poor conditions, such as higher health care costs and the poor quality of life. Thus, identifying the risk factors of the multimorbidity is required for multimorbidity prevention.

Methods

This study was based on the Comprehensive Demonstration Research Project of Major Chronic Noncommunicable Disease Prevention and Control Technology in Northeast China initiated by China Medical University. The investigation was a cross-sectional study under a multistage stratified cluster random sampling design. Associations between multimorbidity and sociodemographic and behavioral factors in adult residents were investigated using univariate analysis and multivariate logistic regression analysis.

Results

A total of 6706 participants were enrolled in this investigation, and the prevalence of multimorbidity was 21.2% among the adult residents of northeastern China. There existed differences of association between age and multimorbidity risks (65–69 years old: OR = 3.53, 95%CI: 2.04–6.12; 70–74 years old: OR = 5.26, 95%CI: 3.02–9.17). Participants who are overweight had significantly high multimorbidity risk (OR = 2.76, 95%CI: 1.50–5.24). Family history of hypertension and family history of diabetes were significantly associated with high multimorbidity risk (family history of hypertension: OR = 2.34, 95%CI: 1.96–2.79; family history of diabetes: OR = 1.77, 95%CI: 1.38–2.26). Compared with the frequency of fatigue (< 1 time/week or 1–2 times/week), that (≥3 times/week) was associated with high multimorbidity risk (OR = 1.39, 95%CI: 1.07–1.81). For fresh fruit consumption, compared with eating fruits regularly, eating rarely had a higher risk of multimorbidity (OR = 2.33, 95%CI: 1.90–2.85).

Conclusions

Sociodemographic indices (age, BMI, family history of hypertension, and family history of diabetes) and behavioral indices (fatigue status and fresh fruit consumption) increase the risks of multimorbidity. This study provides a necessary route to prevent and control multimorbidity in northeast China.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-022-12722-y.

The Impact of Payment Reforms on the Quality and Utilisation of Healthcare for Patients With Multimorbidity: A Systematic Review

Inadequate treatment of multimorbidity is recognised as a major determinant of the effectiveness of healthcare and also of its inappropriate expenditures. However, current payment systems target, primarily, the treatment of single diseases, thus hindering integrated delivery of care for patients with multimorbidity (PwM). This review aims to assess the effects of targeted reforms of payment systems which could help attain a higher quality of care and reduce unnecessary healthcare utilisation. In June 2020, a search of Medline and EMBASE revealed 13 relevant articles. The most common payment models were the use of bundled payments (n = 4) and diagnosis-related group payments (n = 4). Except for an increase in hospital admissions (n = 3), no outcome showed unambiguous significant effects across more than one study. The two studies which focused explicitly on PwM showed a significant decrease in 30-day hospital readmissions. This, however, was not maintained after 60 days in one study. No general conclusion could be drawn on the effects of targeted payment reforms for PwM. Our findings suggest that reforms should be combined with more multifaceted healthcare delivery to address the complex patterns of healthcare use effectively. Thorough evaluations of targeted payment reforms are needed urgently to contribute to the body of evidence required.

Linking health service utilisation and mortality data-unravelling what happens after fall-related paramedic care

BACKGROUND

A randomised controlled trial implemented and evaluated a new model of care for non-transported older fallers to prevent future falls and unplanned health service use. This current study uses linked data to evaluate the effects of the intervention beyond the initial 12-month study period.

METHOD

Study data from an established cohort of 221 adults were linked to administrative data from NSW Ambulance, Emergency Department Data Collection, Admitted Patient Data Collection and Registry of Births, Deaths and Marriages evaluating health service use at 12, 24 and 36 months following randomisation including time to event (health service utilisation) and mortality. Negative binomial and Cox's proportional hazard regression were performed to capture the impact of the study between groups and adherence status.

RESULTS

At 36 months follow-up, 89% of participants called an ambulance, 87% attended the Emergency Department and 91% were admitted to hospital. There were no significant differences in all-cause health service utilisation between the control and intervention group (IG) at 12, 24 and 36 months follow-up. Fall-related health service use was significantly higher within the IG at 12 (IRR:1.40 (95%CI:1.01-1.94) and 24 months (IRR:1.43 (95%CI:1.05-1.95)). Medication use, impaired balance and previous falls were associated with subsequent health service use. Over 40% of participants died by the follow-up period with risk of death lower in the IG at 36 months (HR:0.64, 95%CI:0.45-0.91).

CONCLUSION

Non-transported fallers have a high risk of future health service use for fall and other medical-related reasons. Interventions which address this risk need to be further explored.

Interprofessional educators' competencies, assessment, and training - IPEcat: protocol of a global consensus study

Contemporary practice in interprofessional education (IPE) has evolved predominantly focusing on the competencies for interprofessional collaboration (IPC) that learners must acquire. Competencies that educators need to successfully deliver IPC have been overlooked. This lack of attention is further confounded by a field replete with inconsistent terminology and standards and no global consensus on the core competencies needed for IPE facilitation. There are no globally accepted tools to assess interprofessional educators' competencies nor are there established training programmes that might be used as the basis for a collective global approach to these issues. The International Working Group for Interprofessional Educators Competencies, Assessment, and Training (IWG_IPEcat) seeks to address this gap using a sequential mixed-method approach, to deliver globally developed, empirically derived tools to foster IPE educator competencies. This article presents the protocol of the research project.

Fear of contamination among older adults in the post-COVID-19 era

This study assesses older adults' fear of contamination in the post-coronavirus disease 2019 (COVID-19) era, examining the factors associated with this fear and investigating its effects on their well-being and use of primary healthcare, considering the moderating effects of activities of daily living (ADL) and multimorbidity in these two relationships. A cross-sectional study was conducted in primary healthcare centers in three regions in Saudi Arabia with a convenience sample of 444 older adults diagnosed with chronic diseases. The results indicated that 77.9% of older adults had high contamination fear, predicted by their age, education level, gender, ADL, and previous COVID-19 infection experience. Subjective well-being and the number of primary healthcare visits in the post-COVID-19 era were negatively affected by contamination fear and both ADL and multimorbidity moderated these relationships. In conclusion, the study confirmed the need to focus on older adults' contamination fear to mitigate its negative effects on well-being and critical primary healthcare visits.

Health economic perspective on a community-based intervention for older people at risk of care dependency – results of a prospective quasi-experimental study

This prospective, quasi-experimental study aims to compare healthcare resource utilization (HCRU) and costs of a multi-component care approach for older people in a community setting (intervention group (IG)) with usual care in a matched control group (CG) during a 21-month observation period. The reablement-oriented intervention included a geriatric assessment, a case and network management and digital supporting tools. Regression models were applied to determine intervention effects regarding hospitalization, total hospital length of stay (LOS), number of physician consultations, and healthcare costs using claims data. 872 subjects were included in the IG and 1,768 in the CG. The analyses showed that the intervention did not affect hospitalization ( OR = 1.153; 95% CI: 0.971–1.369, p = .105). However, participating in the IG lead to a small but significant increase of physician contacts by a factor of 1.078 (Exp( ß) = 1.078; 95% CI: 1.011–1.149; p = .022). A non-significant mean difference in costs of €1,183 (95% CI: €−261.6 to €2,627.6, p = .108) per participant was identified. Further research is needed to generate robust evidence on the optimal design of care approaches for older people and the health economic implications of such interventions to improve care and resource allocation decision-making.

Trial registration: The study was registered at the German Clinical Trials Register (DRKS00027866).

What matters to people with multiple long-term conditions and their carers?

BACKGROUND

The number of people living with multiple long-term conditions is increasing worldwide. This presents challenges for health and care systems, which must adapt to meet the needs of this population. This study drew on existing data to understand what matters to people living with multiple long-term conditions and identify priorities for future research.

METHODS

Two studies were conducted. (1) A secondary thematic analysis of interview, survey and workshop data collected from the 2017 James Lind Alliance Priority Setting Partnership for Older People with Multiple Conditions, and patient and public involvement workshops; (2) a review of ongoing research and published research priorities, relating to older people (80+) living with multiple long-term conditions.

FINDINGS

Older people with multiple long-term conditions identified a number of key concerns: access to care, support for both the patient and their carer, physical and mental health and well-being and identifying opportunities for early prevention. The review identified no published research priorities or ongoing research focusing specifically on populations aged over 80 years with multiple long-term conditions.

CONCLUSION

Older people living with multiple long-term conditions experience care that is inadequate for their needs. A holistic approach to care that extends beyond treating single conditions will ensure wide-ranging needs are met. As multimorbidity rises worldwide, this is a critical message for practitioners across health and care settings. We also recommend key areas that should be given greater focus in future research and policy to inform effective and meaningful forms of support for people living with multiple long-term conditions.

Telemedicine Readiness Across Medical Conditions in a US National Representative Sample of Older Adults

Telemedicine has provided older adults the ability to seek care remotely during the coronavirus disease (COVID-19) pandemic. However, it is unclear how diverse medical conditions play a role in telemedicine uptake. A total of 3379 participants (≥65 years) were interviewed in 2018 as part of the National Health and Aging Trends Study. We assessed telemedicine readiness across multiple medical conditions. Most chronic medical conditions and mood symptoms were significantly associated with telemedicine unreadiness, for physical or technical reasons or both, while cancer, hypertension, and arthritis were significantly associated with telemedicine readiness. Our findings suggest that multiple medical conditions play a substantial role in telemedicine uptake among older adults in the US. Therefore, comorbidities should be taken into consideration when promoting and adopting telemedicine technologies among older adults.

Prevalence of Multimorbidity of Chronic Noncommunicable Diseases in Brazil: Population-Based Study

BACKGROUND

Multimorbidity is the co-occurrence of two or more chronic diseases.

OBJECTIVE

This study, based on self-reported medical diagnosis, aims to investigate the dynamic distribution of multimorbidity across sociodemographic levels and its impacts on health-related issues over 15 years in Brazil using national data.

METHODS

Data were analyzed using descriptive statistics, hypothesis tests, and logistic regression. The study sample comprised 679,572 adults (18-59 years of age) and 115,699 elderly people (≥60 years of age) from the two latest cross-sectional, multiple-cohort, national-based studies: the National Sample Household Survey (PNAD) of 1998, 2003, and 2008, and the Brazilian National Health Survey (PNS) of 2013.

RESULTS

Overall, the risk of multimorbidity in adults was 1.7 times higher in women (odds ratio [OR] 1.73, 95% CI 1.67-1.79) and 1.3 times higher among people without education (OR 1.34, 95% CI 1.28-1.41). Multiple chronic diseases considerably increased with age in Brazil, and people between 50 and 59 years old were about 12 times more likely to have multimorbidity than adults between 18 and 29 years of age (OR 11.89, 95% CI 11.27-12.55). Seniors with multimorbidity had more than twice the likelihood of receiving health assistance in community services or clinics (OR 2.16, 95% CI 2.02-2.31) and of being hospitalized (OR 2.37, 95% CI 2.21-2.56). The subjective well-being of adults with multimorbidity was often worse than people without multiple chronic diseases (OR=12.85, 95% CI: 12.07-13.68). These patterns were similar across all 4 cohorts analyzed and were relatively stable over 15 years.

CONCLUSIONS

Our study shows little variation in the prevalence of the multimorbidity of chronic diseases in Brazil over time, but there are differences in the prevalence of multimorbidity across different social groups. It is hoped that the analysis of multimorbidity from the two latest Brazil national surveys will support policy making on epidemic prevention and management.

Socioeconomic variation of multimorbidity in Colombian older adults

Multimorbidity (MM) prevalence among older adults is increasing worldwide. Variations regarding the socioeconomic characteristics of the individuals and their context have been described, mostly in high-income settings. However, further research is needed to understand the effect of the coexistence of infectious diseases along with socioeconomic factors regarding MM. This study aims to examine the variation of MM regarding infectious diseases mortality after adjusting for socioeconomic factors. A cross-sectional multilevel study with a nationally representative sample of 17,571 Colombian adults of 60 years of age or older was conducted. Individual socioeconomic, demographic, childhood and health related characteristics, as well as group level variables (multidimensional poverty index and infectious diseases mortality rate) were analyzed. A two-level stepwise structural equation model was used to simultaneously adjust for the individual and contextual effects. Multimorbidity prevalence was 62.3% (95% CI 61.7–62.9). In the multilevel adjusted models, age, female sex, having functional limitations, non-white ethnicity, high body mass index, higher income, physical inactivity and living in urban areas were associated with multimorbidity among the sample for this study. The median odds ratio for multidimensional poverty was 1.18 (1.16–1.19; p = 0.008) and for infectious diseases was 1.25 (1.22–1.28; p = 0.014). This paper demonstrates that MM varies regarding the mortality of infectious diseases and shows a strong association between MM and poverty in a low-middle income country. Differences in the factors involved in the etiology of multimorbidity are expected among wealthy and poor countries regarding availability and prioritization of health services.

Analysis of multimorbidity networks associated with different factors in Northeast China: a cross-sectional analysis

OBJECTIVES

This study aimed to identify and study the associations and co-occurrence of multimorbidity, and assessed the associations of diseases with sex, age and hospitalisation duration.

DESIGN

Cross-sectional.

SETTING

15 general hospitals in Jilin Province, China.

PARTICIPANTS

A total of 431 295 inpatients were enrolled through a cross-sectional study in Jilin Province, China.

PRIMARY OUTCOME MEASURES

The complex relationships of multimorbidity were presented as weighted networks.

RESULTS

The distributions of the numbers of diseases differed significantly by sex, age and hospitalisation duration (p<0.001). Cerebrovascular diseases (CD), hypertensive diseases (HyD), ischaemic heart diseases (IHD) and other forms of heart disease (OFHD) showed the highest weights in the multimorbidity networks. The connections between different sexes or hospitalisation duration and diseases were similar, while those between different age groups and diseases were different.

CONCLUSIONS

CD, HyD, IHD and OFHD were the central points of disease clusters and directly or indirectly related to other diseases or factors. Thus, effective interventions for these diseases should be adopted. Furthermore, different intervention strategies should be developed according to multimorbidity patterns in different age groups.

Emergency hospital admissions among older adults living alone in the community

Background

Among older adults, living alone is often associated with higher risk of Emergency Department (ED) admissions. However, older adults living alone are very heterogeneous in terms of health. As more older adults choose to live independently, it remains unclear if the association between living alone and ED admissions is moderated by health status. We studied the association between living alone and ED admission outcomes (number of admissions, inpatient days and inpatient costs) among older adults with and without multimorbidity.

Methods

We used data from 16,785 individuals of the third follow-up of the Singapore Chinese Health Study, a population-based cohort of older Singapore Chinese (mean age: 73(61-96) years). Participants were interviewed face-to-face from 2014 to 2016 for sociodemographic/health factors and followed-up for one year on ED admission outcomes using Singapore Ministry of Health’s Mediclaim Database. We first applied multivariable logistic regression and two-part models to test if living alone is a risk factor for ED admission outcomes. We then ran stratified and joint effect analysis to examine if the associations between living alone and ED admission outcomes were moderated by multimorbidity.

Results

Compared to living with others, living alone was associated with higher odds of ED admission [Odds Ratio (OR) 1.28, 95 % Confidence Interval(CI) 1.08-1.51)], longer inpatient days (+0.61, 95 %CI 0.25-0.97) and higher inpatient costs (+322 USD, 95 %CI 54-591). The interaction effects of living arrangement and multimorbidity on ED admissions and inpatient costs were not statistically different, whereas the interaction between living arrangements and multimorbidity on inpatient days was borderline significant (p-value for interaction=0.050). Compared to those living with others and without multimorbidity, the relative mean increase was 1.13 inpatient days (95 %CI 0.39-1.86) for those living alone without multimorbidity, and 0.73 inpatient days ( 95 %CI 0.29-1.17) for those living alone with multimorbidity.

Conclusions

Older adults living alone were at higher risk of ED admission and higher inpatient costs regardless of multimorbidity, while those living alone without multimorbidity had the longest average inpatient days. To enable aging in place while avoiding ED admissions, interventions could provide instrumental support and regular health monitoring to older adults living alone, regardless of their health status.

Healthcare cost of patients with multiple chronic diseases in Singapore public primary care setting

INTRODUCTION

The rising prevalence of multiple chronic diseases is an important public health issue as it is associated with increased healthcare utilisation. This paper aimed to explore the annual per capita healthcare cost in primary care for patients with multiple chronic diseases (multimorbidity).

METHODS

This was a retrospective cohort study conducted in a cluster of public primary care clinics in Singapore. De-identified data from electronic medical records were extracted from July 2015 to June 2017. Only patients with at least 1 chronic disease were included in the study. Basic demographic data and healthcare cost were extracted. A list of 20 chronic diseases was considered for multimorbidity.

RESULTS

There were 254,377 patients in our study population, of whom 52.8% were female. The prevalence of multimorbidity was 62.4%. The median annual healthcare cost per capita for patients with multimorbidity was about twice the amount compared to those without multimorbidity (SGD683 versus SGD344). The greatest percentage increment in cost was when the number of chronic diseases increased from 2 to 3 (43.0%).

CONCLUSION

Multimorbidity is associated with higher healthcare cost in primary care. Since evidence for the optimal management of multimorbidity is still elusive, prevention or delay in the onset of multimorbidity in the general population is paramount.