Managing patients with multimorbidity: systematic review of interventions in primary care and community settings

Facilitators and barriers to medication self-management for patients with multiple long-term conditions transitioning from hospital to home

Background

Being a patient with multiple long-term conditions (MLTCs) often entails a need for complex medication treatment, which poses a challenge to medication self-management. Medication self-management during transition of care is often hindered by challenges such as inadequate communication, which increases the risk of medication errors and adverse outcomes.

Aim

Identify facilitators and barriers to medication self-management for patients with MLTCs transitioning from hospital to home.

Methods

Semi-structured interviews were conducted in patient's homes 1-2 weeks after hospital discharge. Interviews were transcribed and analysed by qualitative deductive content analysis using the Taxonomy of Every Day Self-management Strategies (TEDSS) framework. The data collection continued until enough information power and meaning saturation was reached.

Results

Twenty-one patients and three next of kin participated. Numerous facilitators and barriers to medication self-management were identified within all seven TEDSS domains, which varied extensively between individuals. Resource and process strategies were the most frequently discussed domains, while health behaviour and social interaction strategies were less frequently discussed. Key facilitators identified were access to resources that support medication self-management and knowing the medication's purpose. Key barriers included patients perceiving medications as burdensome or not recognising the importance of their medications.

Conclusions

This study highlights the complex and wide spectre of facilitators and barriers to medication self-management for patients with MLTCs transitioning from hospital to home. In clinical practice, patients' medication self-management could be supported through a holistic approach adapted to the individual patient's daily life, including improved care coordination and patient empowerment.

Patient and hospital staff perspectives on introducing pharmacist-led medication reviews at an orthopedic ward: a mixed methods pilot study

BACKGROUND

Multi-morbidity is associated with multiple medication use, which potentially increases the risk of adverse drug events. Pharmacist-led medication reviews have been introduced to meet these challenges.

AIM

To evaluate the implementation of pharmacist-led medication reviews for older patients admitted to an orthopedic ward in terms of quality and safety from the perspectives of patients, hospital-based physicians, nurses, and healthcare assistants.

METHOD

Patients (n=11) were interviewed, with the interviews having a reflexive thematic analysis using the hermeneutic approach, while healthcare-professionals' (HCPs) (n=26) perspectives on pharmacist-led medication reviews were assessed using questionnaires.

RESULTS

The qualitative patient interviews revealed four themes: (1) Positive perception of pharmacists' medication communication, (2) Mixed perceptions of a medication review, (3) Satisfaction with the general outcome of the medication review, and (4) Safety perception with medication treatment. Twenty-six HCPs completed the questionnaire (response rate 48%) with a distribution of 10 hospital-based physicians (38%), eight nurses (31%), and eight healthcare assistants (31%). Almost 85% of the HCPs (n = 22) were familiar with the pharmacist conducting medication reviews. More than 70% of the HCPs reported that pharmacist-led medication reviews contributed to increased quality of admitted patients' medication use.

CONCLUSION

High levels of satisfaction with the outcomes of the medication reviews-particularly regarding quality, patient safety, and their overall positive impact on the ward-indicate that both patients and HCPs perceived the service as highly valuable in supporting patient care throughout the medication process.

Interaction between genetic risk and comorbid conditions in endometriosis

Endometriosis is a complex disease, and many genetic and environmental risk factors contribute to disease risk. The genetic risk of endometriosis has been well characterized in genome-wide association studies. While few physiological risk factors are known, endometriosis is associated with many comorbid disorders. This study examines the interplay between genetic risk factors, comorbid disorders, and endometriosis. Genetic and health record data from the UK Biobank (5,432 cases; 92,344 controls) and Estonian Biobank (3,824 cases; 15,296 controls) was used to estimate the correlation between comorbidity burden, endometriosis and genetic risk, and to estimate the interactive effects between endometriosis polygenic risk score (PRS) and diagnosis of prevalent comorbidities (uterine fibroids, heavy menstrual bleeding, dysmenorrhea, irritable bowel syndrome, diverticular disease, and asthma) on endometriosis prevalence. The comorbidity burden was significantly higher in endometriosis cases and was positively correlated with endometriosis PRS in women without endometriosis but negatively correlated in women with endometriosis. The absolute increase in endometriosis prevalence conveyed by the presence of several comorbidities (uterine fibroids, heavy menstrual bleeding, dysmenorrhea) was greater in individuals with a high endometriosis PRS compared to a low endometriosis PRS. These findings, consistent across two biobanks, highlight significant interactions between polygenic risk for endometriosis and the diagnosed comorbidities in endometriosis susceptibility that have implications for understanding the underlying mechanisms contributing to disease risk.

The impact of multimorbidity on suicidal behaviour: A systematic review and meta-analysis

INTRODUCTION

Multimorbidity, the co-occurrence of multiple health conditions, is increasingly recognised as a significant public health concern. While the association between multimorbidity and suicidal thoughts is well-documented, its relationship with suicidal behaviour remains underexplored. This study aims to quantify the association between multimorbidity and both suicide attempts and suicide mortality.

METHODS

We searched Medline, PsycINFO, and Scopus databases for studies published from January 1990 up to July 2024. We applied prespecified eligibility criteria to select studies for inclusion. To assess the risk of bias, we used the Mixed Methods Appraisal Tool. We conducted meta-analyses using random-effects models and assessed heterogeneity with Cochran's Q and I2 statistics. We evaluated publication bias using funnel plots and Egger's test. Sub-group analysis was conducted incorporating potential moderator variables.

RESULTS

Out of 2202 identified records, 38 studies were included in the analysis. Participants with multimorbidity were over five times more likely to attempt suicide compared to those without multimorbidity (pooled odds ratio [OR] = 5.31; 95 % confidence interval [CI] = 3.98, 7.09; I2 = 94.9 %). Multimorbidity was associated with an 83 % increased likelihood of suicide mortality (pooled OR = 1.83; 95 % CI = 1.21, 2.77; I2 = 99.9 %). Mental multimorbidity was associated with the highest odds of suicide attempts (OR = 6.96; 95 % CI = 4.94, 9.81; I2 = 81.8 %), with higher odds also observed in studies with single disease comparator (OR = 6.16; 95 % CI = 3.68, 10.31; I2 = 95.5 %), and across both high income and low-middle income regions. For suicide mortality, significant associations were found in studies assessing physical-mental multimorbidity (OR = 2.32; 95 % CI = 1.14, 4.71; I2 = 99.8 %), studies from Europe/USA and Asia, and those using a mixed comparator group, with additional significant effects noted by study design, publication year, covariate adjustment, and risk of bias.

CONCLUSIONS

Multimorbidity significantly increases the risk of both suicide attempts and suicide mortality. We recommend enhanced suicide risk assessment among patients with multiple chronic conditions, especially when mental health diagnoses are present.

Prevalence of Polypharmacy in Chinese Community-Dwelling Older Adults and Forecast by 2035: A Systematic Review and Meta-Analysis

PURPOSE

We aimed to derive a pooled polypharmacy prevalence estimate and forecast the total polypharmacy cases by 2035 in Chinese community-dwelling older adults.

METHODS

We searched for studies in three databases (CNKI, Scopus and PubMed). We selected studies according to pre-defined inclusion and exclusion criteria. We assessed study quality using a modified Newcastle-Ottawa Scale. Polypharmacy in our study was defined as the concurrent use of at least five different medications. Pooled prevalence was estimated overall and by regions, time periods, and other important factors. We fitted Bayesian random-effects logit models to synthesize single studies and reported a 95% uncertainty interval (95UI).

RESULTS

A total of 25 studies were finally included. The pooled polypharmacy prevalence was estimated to be 31.04% (95UI: 18.16 ~ 47.66). The pooled prevalence was highest in the east region (37.98%, 95UI: 21.92 ~ 57.69), followed by the middle region (33.53%, 95UI: 4.89 ~ 84.46) and the west region (25.85%, 95UI: 8.78 ~ 50.74). The pooled prevalence was 31.10% (95UI: 15.54 ~ 52.72) in the latest 5 years (2017-2021) and 30.88% (95UI: 11.53 ~ 60.56) in the beyond latest 5 years (2005-2016). The per cent change annualized in the forecasted total polypharmacy cases from 2022 to 2035 was estimated to be 3.69%, with the highest total cases forecasted to be 131.7 million (95UI: 77.1 ~ 202.2) in 2035.

CONCLUSIONS

Our study suggests that polypharmacy is notably prevalent in Chinese community-dwelling older adults, highlighting the need for the development and delivery of community-based interventions targeted at this population.

Behaviour change techniques used in interventions targeting dementia risk factors amongst older adults in rural and remote areas: A systematic review and meta-analysis

Behavioural interventions targeting health risk factors within rural areas are often not tailored to effectively address the needs and socio-environmental barriers to access and behaviour change faced by these communities. Little is known about the underlying behaviour change mechanisms that contribute to reducing dementia risk for communities living in regional and rural areas. This systematic review and meta-analysis aimed to summarise the effectiveness of behavioural interventions targeting late-life single modifiable dementia risk factors (physical inactivity, poor diet, social isolation and depression) and the mechanisms used to contribute to behaviour change. Six databases were searched to identify regional and rural behavioural interventions targeting modification of late-life dementia risk behaviours between 2000 and 2024. Behaviour change techniques (BCTs) and outcomes for each intervention were extracted. Where possible, meta-analyses were performed to assess the effectiveness of the behavioural intervention on outcomes related to dementia risk. Out of 42,529 articles, 49 studies were included: 22 on physical inactivity, 6 on poor diet, 9 on social isolation, and 12 on depression. Many BCT categories were applied (M = 14.8, SD = 10), with high use of goals and planning (49/49 interventions; 100 %), shaping knowledge (47/49 interventions; 95.9 %), social support (43/49 interventions; 87.8 %) and comparison of outcomes (38/49 interventions; 77.6 %). Social isolation interventions used the most BCTs (M = 18.3; SD = 8.5), followed by depression (M = 17.6; SD = 10.7), physical inactivity (M = 16.0; SD = 11.5), and poor diet (M = 5.2; SD = 3.1). Although effectiveness was limited across interventions, apart from cognitive behavioural therapy for depression (SMD -0.39, 95 % CI -0.55 to -0.24), future programs targeting dementia risk factors would benefit from incorporation of BCTs. Simultaneously, consideration of the socio-environmental context, accessibility, and community involvement in rural and regional areas may improve the sustainability of interventions.

Characterizing a heterogeneous chronic patient population for redesigning person-centred bundled payment models using risk-mitigating measures

Since 2010, most Dutch patients with diabetes mellitus type 2 (DM2), an increased risk of cardiovascular diseases (CVR), and chronic obstructive pulmonary disease (COPD), have been treated in single-disease management programs (SDMPs) provided by primary care cooperatives (PCCs). These SDMPs are funded through bundled payments. However, given the prevalence of multimorbidity among patients, there is a growing need for care that is more person-centred. We have previously published an alternative payment model that stimulates the integration of care required for a person-centred approach and in this paper, we demonstrate an operationalization of this model. We performed cluster analysis on claims data to distinguish between different subgroups of patients, predicted cluster probabilities with data available to general practitioners, designed different care packages and investigated the expected financial risk for PCCs of different sizes. We showed that mainly the size of the PCC and the content of the care package influenced the predicted losses or profits for the PCC. Two risk-mitigating measures-risk-adjustment and cost-capping-resulted generally in predicted losses or profits closer to 0, and therefore a reduced risk for the PCC.

A systematic review of randomized controlled trials in a general practice setting aiming to reduce excess all-cause mortality and enhance cardiovascular health in patients with severe mental illness

OBJECTIVE

People with severe mental illness (SMI) have a reduced life expectancy, primarily due to chronic somatic diseases like cardiovascular disorders. Integrated care in general practice addressing mental and physical health may reduce excess mortality in this population. This review assessed the effectiveness of collaborative care, general integrated care, and physical health interventions in reducing overall mortality in patients with SMI. Secondary outcomes included disease-specific mortality, cardiovascular health indicators, and health-related quality of life.

METHODS

We searched PubMed, PsycINFO, Cochrane Library, and Embase for randomized controlled trials published before April 24, 2024. Eligible studies focused on integrated care interventions targeting somatic health in patients with SMI. Two reviewers independently conducted data extraction and risk of bias assessment. The study was registered with PROSPERO (CRD42022328464).

RESULTS

Of 2904 identified publications, 17 were included (covering 13 studies). Seven studies reported mortality data, with one showing reduced mortality in patients with major depressive disorder receiving collaborative care. No studies examined disease-specific mortality. Nine studies assessed cardiovascular outcomes, with three reporting reduced cardiovascular risk in collaborative care interventions simultaneously targeting depression and cardiovascular factors. Seven studies reported on quality of life, with three finding improvements. Study quality was rated moderate to high.

CONCLUSION

We found low-certainty evidence that collaborative care reduces mortality in depression. There was moderate evidence that collaborative care models, simultaneously addressing mental and cardiovascular health could potentially improve cardiovascular health in depression. The limited number of studies and their focus on depression limit the generalizability of these findings to other SMIs.

Developing an electronic surprise question to predict end-of-life prognosis in a prospective cohort study of acute hospital admissions

OBJECTIVE

Determining the accuracy of a method calculating the Gold Standards Framework Surprise Question (GSFSQ) equivalent end-of-life prognosis amongst hospital inpatients.

DESIGN

A prospective cohort study with regression calculated 1-year mortality probability. Probability cut points triaged unknown prognosis into the GSFSQ equivalent 'Yes' or 'No' survival categories (> or < 1-year respectively), with subsidiary classification of 'No'. Prediction was tested against prospective mortality.

SETTING

An acute NHS hospital.

PARTICIPANTS

18,838 acute medical admissions.

INTERVENTIONS

Allocation of mortality probability by binary logistic regression model (X2=6,650.2, p<0.001, r2 = 0.43) and stepwise algorithmic risk-stratification.

MAIN OUTCOME MEASURE

Prospective mortality at 1-year.

RESULTS

End-of-life prognosis was unknown in 67.9%. The algorithm's prognosis allocation (100% vs baseline 32.1%) yielded cohorts of GSFSQ-Yes 15,264 (81%), GSFSQ-No Green 1,771 (9.4%) and GSFSQ-No Amber or Red 1,803 (9.6%). There were 5,043 (26.8%) deaths at 1-year. In Cox's survival, model allocated cohorts were discrete for mortality (GSFSQ-Yes 16.4% v GSFSQ-No 71.0% (p<0.001). For the GSFSQ-No classification, the mortality odds ratio was 12.4 (11.4-13.5) (p<0.001) vs GSFSQ-Yes (c-statistic 0.72 (0.70-0.73), p<0.001; accuracy, positive and negative predictive values 81.2%, 83.6%, 83.6%, respectively). Had the tool been utilised at the time of admission, the potential to reduce possibly avoidable subsequent hospital admissions, death-in-hospital and bed days was significant (p<0.001).

CONCLUSION

This study is unique in methodology with prospectively evidenced outcomes. The model algorithm allocated GSFSQ equivalent EOL prognosis universally to a cohort of acutely admitted patients with statistical accuracy validated against prospective mortality outcomes.

Association between Multimorbidity and End-of-Life Outcomes among Middle-Aged and Older Adults: Evidence from 28 Countries

OBJECTIVES

Multimorbidity poses significant challenges to the well-being of middle-aged and older adults, but its impact on end-of-life experiences remains relatively underexplored and inconsistent. This study aims to investigate the association between the number of chronic conditions and 6 end-of-life outcomes across 28 countries.

DESIGN

Longitudinal analyses.

SETTING AND PARTICIPANTS

Data were drawn from 6625 participants in the Survey of Health, Ageing, and Retirement in Europe (SHARE).

METHODS

Information on 12 chronic non-communicable conditions was self-reported by participants in core interviews and categorized into 4 groups: 0, 1, 2, and ≥3 chronic conditions. Six end-of-life outcomes were reported by proxy respondents during end-of-life interviews after participants' deaths. These outcomes included the place of death, duration of hospital stays in the last year of life, hospice or palliative care utilization, and symptoms such as pain, breathlessness, and anxiety or sadness in the last month of life. Mixed-effects logistic regression models were conducted to examine the association between the number of chronic conditions and end-of-life outcomes.

RESULTS

Among the included participants, having 3 or more chronic conditions was positively associated with dying in a hospital [odds ratio (OR), 1.31; 95% CI, 1.15-1.49)], staying in hospitals for 3 months or more during the last year of life (OR, 1.36; 95% CI, 1.04-1.78), and experiencing symptoms such as pain (OR, 1.67; 95% CI, 1.34-2.08), breathlessness (OR, 1.32; 95% CI, 1.08-1.60), and anxiety or sadness (OR, 1.43; 95% CI, 1.12-1.83) in the last month of life after adjusting for covariates. In addition, each additional chronic condition was associated with 6% to 12% increases in the odds of these end-of-life outcomes, except for hospice or palliative care utilization.

CONCLUSIONS AND IMPLICATIONS

Our findings underscore the significant impact of multimorbidity on end-of-life experiences and highlight the importance of coordinated care strategies to address the complex needs of patients with multimorbidity and alleviate their symptom burden.

The association between healthy lifestyle and multimorbidity of non-communicable chronic diseases trajectory: evidence from a perspective study in UK biobank

BACKGROUND

Although a few studies have found that healthy lifestyle is linked to a range of non-communicable chronic diseases (NCDs), its association with the onset, progression, and prognosis of multimorbidity of NCDs (MNCDs) has never been studied.

METHOD

A total of 332 444 adults aged 39-73 years who were free of heart disease, stroke, diabetes, and cancer at baseline were selected. Then we used multi-state model to analyze the associations between healthy lifestyle and transition trajectory were analyzed with results expressed as hazard ratio (HR) and 95% confidence interval.

RESULTS

A total of 62 994 participants developed first NCDs (FNCDs). After adjustment for potential confounders, healthy lifestyle was negatively associated with the transition trajectory from baseline to FNCD (HR = 0.38), from FNCDs to MNCDs (HR = 0.30), etc. Further, the transition trajectory from FNCDs to MNCDs became more pronounced among the offspring who aged ˂60 (HRFNCDs → MNCDs = 0.29), who never took medicine(HRFNCDs → MNCDs = 0.25). Besides, possessing all five healthy lifestyle factors could extend the life expectancy of MNCD participants.

CONCLUSION

This study suggests that healthy lifestyle is associated with almost all transition phases of MNCDs development and decreases the mortality risk of MNCDs.

Effect of Community-Based Integrated Care for Patients With Diabetes and Depression (CIC-PDD) in China: A Pragmatic Cluster-Randomized Trial

OBJECTIVE

To develop a care model for patients with both diabetes and depression and assess the model's effectiveness.

RESEARCH DESIGN AND METHODS

In this pragmatic cluster randomized trial, we allocated eight community health centers into two groups: the enhanced usual care group and the intervention group. A comprehensive care plan was developed for the intervention group based on the integrated care model. We recruited individuals aged ≥18 years with type 2 diabetes and depression (Patient Health Questionnaire-9 score ≥10). The primary outcome was the between-group difference in the percentage of patients who had at least a 50% reduction in depressive symptoms and a reduction of at least 0.5 percentage points in HbA1c. The outcome analysis was conducted within the intention-to-treat population; missing data were multiply imputed.

RESULTS

We enrolled 630 participants, with 275 in the intervention group and 355 in the control group. A significantly greater percentage of patients in the intervention group met the primary outcome at 12 months (for depressive symptoms: risk difference [RD] 31.03% [62.06% vs. 31.02%, respectively; 95% CI 21.85-40.21]; for HbA1c: RD 19.16% [32.41% vs. 13.25%, respectively; 95% CI 11.35-26.97]). The patients in the intervention group showed significant enhancements in mental quality of life (mean difference [MD] 6.74 [46.57 vs. 39.83, respectively; 95% CI 3.75-9.74]), diabetes self-care activities (MD 0.69 [3.46 vs. 2.78, respectively; 95% CI 0.52-0.86]), medication adherence (MD 0.72 [6.49 vs. 5.78, respectively; 95% CI 0.37-1.07]), and experience of care (MD 0.89 [3.84 vs. 2.95, respectively; 95% CI 0.65-1.12]) at 12 months. Rural participants benefited more from the intervention.

CONCLUSIONS

The implementation strategy can serve as a valuable blueprint for the identification and treatment of patients with physical and mental multimorbidity in primary health care settings.

A patient-centred care model for patients with complicated multimorbidity: Protocol for a pilot cluster randomised trial in general practice, municipalities, and hospitals

INTRODUCTION

Current care is inadequate for patients with complicated multimorbidity, and frequently results in fragmented care. There is no widely agreed-upon optimal organisation of healthcare services for this patient group. By drawing upon existing literature and prior studies, we developed a patient-centred complex intervention for multimorbidity (CIM) and subsequently refined it into CIM version 2 (CIM2). This paper describes the study protocol for a pilot cluster randomised control trail (RCT) evaluating the effectiveness of a general practice-based intervention.

METHODS

CIM2 aims to support integrated care for patients with complicated multimorbidity. CIM2 comprises five elements: 1) Training healthcare professionals, 2) an extended overview consultation in general practice, 3) a nurse care coordinator in general practice supporting the planning of the patient trajectory, 4) follow-up care services in general practice, and 5) improving the integration of care between general practice, municipality, and hospital. The pilot cluster RCT involve 350 patients with complicated multimorbidity across 14 general practices in Region Zealand and The Capital Region of Denmark. Patients are randomly assigned to either the intervention group or the usual care group. The primary outcome measure is the patients experience of quality of care measured by the Patient Assessment Chronic Illness Care Questionnaire (PACIC). Secondary outcomes include the patient's health-related quality of life, measured by the EuroQol-5 Domain questionnaire (EQ-5D-5L) and the treatment burden measured by the Multimorbidity Treatment Burden Questionnaire (MTBQ). Data on chronic conditions, healthcare utilization, and demographic information such as sex, age, and educational attainment will be collected from national registries. The outcome measures will be recorded before, during, and after implementing the intervention. Qualitative evaluation will include semi-structured interviews with healthcare professionals across various sectors as well as patients. The cost-effectiveness and Incremental Cost Effectiveness Ratio (ICER) of the CIM2 will be assessed using Diagnose Related Group rates.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier: NCT05406193. https://clinicaltrials.gov/study/NCT05406193.

Assessing Cardiovascular Risk in Geriatric Patients Without Atherosclerotic Cardiovascular Disease

Introduction: Age is a major risk factor that affects the likelihood of developing atherosclerotic cardiovascular disease (ASCVD). The anticipated 10-year ASCVD risk for nearly all individuals aged 70 years and older surpasses conventional risk thresholds. When considering treatment for risk factors, it is important to take into account ASCVD risk modifiers, such as malnutrition, polypharmacy, and comorbidities. Objectives: The aim of this study was to estimate ASCVD risk in apparently healthy (without established ASCVD) elderly persons. We also evaluated several biochemical and clinical indicators to better characterize the studied population. Patients and methods: A total of 253 elderly individuals aged 70 years and older, who were apparently healthy and did not have established atherosclerotic cardiovascular disease (ASCVD), were enrolled in the study. The Systemic Coronary Risk Estimation 2-Older Persons (SCORE2-OP) model was utilized to assess their 10-year risk of developing ASCVD. Results: Among the 253 participants, 41 (16.2%) were classified as high risk, while 212 (83.8%) were categorized as very high risk. No individuals had a low ASCVD risk (defined as less than 7.5%). The median 10-year risk of developing ASCVD for the study group was 23% (ranging from 17% to 32%). The number of individuals identified as very high risk increased significantly with age, with nearly all participants aged 75 years and older being considered very high risk. An age of 75 years or older is associated with a very high risk for ASCVD, supported by a C-statistic of 0.92, which reflects a positive predictive value (PPV) of 99% and a negative predictive value (NPV) of 52% (p < 0.001). Conclusions: Elderly individuals without established ASCVD constitute a varied group. The majority were identified as being at very high risk for ASCVD. Age and hypertension were the primary factors contributing to this risk. Furthermore, modifiers of ASCVD risk, including malnutrition, polypharmacy, and multimorbidity, were commonly observed.

Influence of impaired glucose tolerance and type 2 diabetes on the multimorbidity cluster of cardiovascular disease and cancer: a post hoc analysis of the Da Qing Diabetes Prevention Outcome Study

BACKGROUND

This study explored the influence of type 2 diabetes and impaired glucose tolerance (IGT) on the risk of the multimorbidity cluster of cardiovascular disease (CVD) and cancer.

METHODS

A total of 1629 participants in the Da Qing Diabetes Prevention Outcome Study were recruited in the present analysis, including normal glucose tolerance (NGT, N = 492), IGT (N = 540), and newly diagnosed type 2 diabetes (N = 597) groups. Cox proportional hazards analyses were performed to assess the relationship between NGT, IGT, and newly diagnosed type 2 diabetes and the risk of the multimorbidity cluster of CVD and cancer.

RESULTS

The incidence rates for multimorbidity cluster CVD and cancer were 1.25, 3.17, and 3.23 per 1000 person-years in people with NGT, IGT, and the newly diagnosed type 2 diabetes groups, respectively, over 34-year follow-up. Cox analysis revealed that diabetes status (as time-dependent variable) was significantly associated with the subsequent increased risk of multimorbidity cluster of CVD and cancer compared with non-diabetes (hazard ratios [HR] = 2.55, 95% confidence interval [CI] 1.51-4.31) after adjustment of potential confounders. Similar analysis showed that this risk was significantly higher in the IGT and newly diagnosed type 2 diabetes groups compared with NGT, with HR of 3.28 (95% CI 1.83-5.87) and HR of 3.90 (95% CI 2.14-7.09), respectively. Whereas compared diabetes with IGT group, this risk was not significantly different.

CONCLUSIONS

Similar to newly diagnosed type 2 diabetes, IGT is significantly associated with an increased risk of the multimorbidity cluster of CVD and cancer compared with NGT. This finding highlights the urgent need for an active detection of IGT and effective prevention and management of diabetes.

Insights into relationship of environmental inequalities and multimorbidity: a population-based study

BACKGROUND

Substantial inequalities in the overall prevalence and patterns of multimorbidity have been widely reported, but the causal mechanisms are complex and not well understood. This study aimed to identify common patterns of multimorbidity in Serbia and assess their relationship with air pollutant concentrations and water quality indicators.

METHODS

This ecological study was conducted on a nationally representative sample of the Serbian population. Data were obtained from the European Health Interview (EHIS) Survey, a periodic study designed to assess population health using widely recognized standardized instruments. The study included 13,069 participants aged 15 and older, randomly selected through a multistage stratified sampling design. Multimorbidity was defined as having two or more self-reported diagnoses of chronic non-communicable diseases. Latent class analysis (LCA) was performed to identify clusters of multimorbidity. Concentrations of particulate matter (PM10), sulfur dioxide (SO2), nitrogen dioxide (NO2), carbon monoxide (CO), and ozone (O3), as well as water quality indicators, were obtained from the Serbian Environmental Protection Agency.

RESULTS

The overall prevalence of multimorbidity was 33.4% [32.6%-34.2%]. Six latent classes of multimorbidity were identified: Healthy, Multicondition, Cardiovascular, Metabolic syndrome, Respiratory, and Musculoskeletal. Annual increases in PM10 and SO2 concentrations, as well as daily increases in O3 concentrations, significantly raised the odds of having multimorbidity (OR = 1.02, 95% CI 1.02-1.03; OR = 1.01, 95% CI 1.00-1.02 and OR = 1.03, 95% CI 1.02-1.03, respectively). A pattern of increased risk was observed with rising levels of water contamination. Exposure to physico-chemical, microbiological and combined contamination was associated with a 3.92%, 5.17% and 5.54% higher probability, respectively, of having multiple chronic conditions. There was strong evidence that air pollutants, as well as chemical and microbial water contamination, were significantly associated with higher odds of the most common clusters of multimorbidity identified by LCA.

CONCLUSION

There is compelling evidence of an association between multimorbidity and environmental pollution, suggesting that exposure to air pollutants and water contaminants may contribute to disease accumulation and help explain geographically and socioeconomically patterned inequalities. These findings underscore the need for extensive studies that simultaneously measure both multimorbidity and pollution to explore their complex interrelationships.

Substance Use Within Trials of Psychological Interventions for Psychosis: Sample Inclusion, Secondary Measures, and Intervention Effectiveness

INTRODUCTION

Current clinical guidelines recommend that patients with co-occurring psychosis and alcohol or substance use disorders (A/SUD) receive evidenced-based treatment for both disorders, including psychological intervention for psychosis. However, the efficacy of such treatments for individuals with co-occurring psychosis and A/SUD is unclear.

STUDY DESIGN

Randomized controlled trials (RCTs) of psychological interventions for psychosis were systematically reviewed, to investigate how alcohol and substance use has been accounted for across sample inclusion and secondary measures. Findings from trials including individuals with co-occurring alcohol or substance use issues were then narratively summarized using the Synthesis Without Meta-Analysis guidelines, to indicate the overall efficacy of psychological interventions for psychosis, for this comorbid population.

STUDY RESULTS

Across the 131 trials identified, 60.3% of trials excluded individuals with alcohol or substance use issues. Additionally, only 6.1% measured alcohol or substance use at baseline, while only 2.3% measured alcohol or substance use as a secondary outcome. Across trials explicitly including individuals with alcohol or substance use issues, insufficient evidence was available to conclude the efficacy of any individual psychological intervention. However, preliminary findings suggest that psychoeducation (PE) and metacognitive therapy (MCT) may be proposed for further investigation.

CONCLUSION

Overall, co-occurring alcohol and substance use issues have been largely neglected across the recent RCTs of psychological interventions for psychosis; highlighting the challenges of making treatment decisions for these individuals using the current evidence base.

Self-Care of Older Patients Affected by at Least Two Chronic Conditions Between Heart Failure, Diabetes Mellitus and Chronic Obstructive Pulmonary Disease: A Comparative Study

AIMS

This study aims to describe disease-specific self-care behaviours in patients with heart failure (HF), diabetes mellitus (DM) and chronic obstructive pulmonary disease (COPD) in various combinations; to compare these self-care behaviours within patient groups; and to evaluate differences across these groups.

DESIGN

Cross-sectional study.

METHODS

A total sample of 1079 older patients was recruited from outpatient clinics and home settings. Eligible patients were aged ≥ 65 years and had a diagnosis of HF and/or DM, and/or COPD, along with at least one additional chronic condition. Data were collected using validated tools: the Self-Care of Heart Failure Index, Self-Care of Diabetes Inventory and Self-Care of Chronic Obstructive Pulmonary Disease Inventory. Descriptive statistics were used to analyse disease-specific self-care behaviours. Group comparisons were performed using Student's t-test and univariate, followed by multivariate analyses of variance.

RESULTS

The analysis focused on a subset of 223 patients who had a combination of at least two chronic conditions between HF, DM and/or COPD. The mean age of participants was 77.3 (SD 7.5) years, with a majority being female (53.4%). Self-care maintenance, monitoring and management for HF and COPD were found to be inadequate across all patient groups. Adequate self-care was only observed in DM management among those with HF and DM and in DM maintenance for those with DM and COPD treated with insulin. Significant differences in all self-care dimensions were observed across groups, particularly in patients managing all three conditions (HF, DM and COPD).

CONCLUSIONS

The findings provide valuable insights into the complexities of self-care in patients with multiple chronic conditions, underscoring the need for tailored, integrated and patient-centred interventions. Healthcare strategies should focus on enhancing patient education and developing personalised approaches to improve health outcomes and quality of life in this population.

REPORTING METHOD

All the authors have adhered to the EQUATOR guidelines STROBE Statement.

PATIENT OR PUBLIC CONTRIBUTION

A convenience sample of patients was recruited in outpatient clinics and their homes. Data were collected between March 2017 and August 2022, by face-to-face during routine outpatient visits or directly at the patient's home.

Extreme temperature events, functional dependency, and cardiometabolic multimorbidity: Insights from a national cohort study in China

BACKGROUND

Extreme temperature events (ETEs), including heatwaves and cold spells, are attracting increasing attention because of their impacts on human health. However, the association between ETEs and cardiometabolic multimorbidity (CMM) and the role of functional dependency in this relationship remain unclear.

METHODS

A prospective cohort study was conducted using data from the China Health and Retirement Longitudinal Study (CHARLS) from 2011 to 2020, considering 12 definitions each for heatwaves and cold spells, and three levels of functional dependency. Mixed Cox models with time-varying variables were used to comprehensively assess the independent and combined effects of ETEs and functional dependency on CMM. Additionally, subgroup analyses were conducted to investigate whether the relationship between ETEs and CMM was modified by the baseline characteristics.

RESULTS

Heatwave and cold spell exposures were associated with an increased risk of CMM (HR range: 1.028-1.102 and 1.046-1.187, respectively). Compared to participants with normal functional abilities, the risk of CMM increased with higher levels of functional dependency (HR range: 1.938-2.185). ETEs exposure and functional dependency are jointly associated with CMM risk. Participants with high-intensity ETEs exposure and high functional dependency had the greatest risk of developing CMM. Participants aged 60 and above were more susceptible to the effects of ETEs on CMM. Additionally, urban residents and those in northern regions were more vulnerable to heatwaves.

CONCLUSION

Both ETEs exposure and functional dependency increase the risk of developing CMM. Participants with functional dependency exposed to high-intensity ETEs faced the highest risk of developing CMM. These findings highlight the significant impact of ETEs on CMM and the importance of protecting vulnerable populations during periods of extreme temperature.

Chronic low-grade inflammation associated with higher risk and earlier onset of cardiometabolic multimorbidity in middle-aged and older adults: a population-based cohort study

Evidence regarding the role of chronic low-grade inflammation in the progression of cardiometabolic diseases (CMDs) and cardiometabolic multimorbidity (CMM) is currently limited. This prospective cohort study, utilising data from the UK Biobank, included 273,804 adults aged 40-69 years initially free of CMD at baseline. CMM was defined as the coexistence of two or more CMDs, such as coronary artery disease, type 2 diabetes mellitus, hypertension and stroke. The aggregated inflammation score (INFLA-score), incorporating C-reactive protein, white blood cell count, platelet count and granulocyte-to-lymphocyte ratio, quantified chronic low-grade inflammation. Absolute risks (ARs), hazard ratios (HRs) and 95% confidence intervals (CIs) assessed the association of increased INFLA-score with the risk of CMMs and CMDs. The accelerated failure time model explored the effect of INFLA-score on the time to CMM onset, and a restricted cubic spline characterised the dose-dependent relationship between INFLA-score and CMM risk. After a median follow-up of 166.37 months, 13,755 cases of CMM were identified. In quartiles with increasing INFLA-score levels, CMM ARs were 4.41%, 4.49%, 5.04% and 6.01%, respectively; HR increased by 2%, 15% and 36%, respectively, compared to the lowest quartile. The INFLA-score and CMM risk relationship was nonlinear (P for nonlinear < 0.001), exhibiting a significant risk trend change at a score of 9. For INFLA-score < 9, CMM risk increased by 1.9% for each 1-point increase; for INFLA-score ≥ 9, the risk increased by 5.9% for each 1-point increase. Additionally, a higher INFLA-score was associated with an earlier onset of CMM (P < 0.001). Compared to the first INFLA-score quartile, the AFT model revealed adjusted median times to CMM occurrence were 2.92, 6.10 and 13.19 months earlier in the second, third and fourth quartile groups, respectively. Chronic low-grade inflammation is associated with a higher risk of cardiometabolic multimorbidity and earlier onset among middle-aged and older adults. Monitoring and screening the INFLA-score in adults without CMDs may improve early prevention of CMM.

Challenges in managing HIV and non-communicable diseases and health workers' perception regarding integrated management of non-communicable diseases during routine HIV care in South Central Uganda: A qualitative study

BACKGROUND

Non-communicable diseases are highly prevalent among adults living with HIV, emphasizing the need for comprehensive healthcare strategies. However, a dearth of knowledge exists regarding the health systems challenges in managing HIV and non-communicable diseases and the perception of health workers regarding the integrated management of non-communicable diseases during routine HIV care in rural Ugandan settings. This study aims to bridge this knowledge gap by exploring the health system challenges in managing HIV and non-communicable diseases and health workers' perception regarding the integration of non-communicable diseases in routine HIV care in South Central Uganda.

METHODS

In this qualitative study, we collected data from 20 purposively selected key informants from Kalisizo Hospital and Rakai Hospital in South Central Uganda. Data were collected from 15th December 2020 and 14th January 2021. Data were analyzed using a thematic content approach with the help of NVivo 11.

RESULTS

Of the 20 health workers, 13 were females. In terms of work duration, 9 had worked with people living with HIV for 11-15 years and 9 were nurses. The challenges in managing HIV and non-communicable diseases included difficulty managing adverse events, heavy workload, inadequate communication from specialists to lower cadre health workers, limited financial and human resources, unsupportive clinical guidelines that do not incorporate non-communicable disease management in HIV care and treatment, and inadequate knowledge and skills required to manage non-communicable diseases appropriately. Health workers suggested integrating non-communicable disease management into routine HIV care and suggested the need for training before this integration.

CONCLUSION

The integration of non-communicable disease management into routine HIV care presents a promising avenue for easing the burden on health workers handling these conditions. However, achieving successful integration requires not only the training of health workers but also ensuring the availability of sufficient human and financial resources.

Lifestyle, air pollution, and risk of multimorbidity in a prospective analysis of the UK Biobank cohort

Background

Although associations between chronic obstructive pulmonary disease (COPD) or ischaemic heart disease (IHD) and lifestyle factors or air pollution factors (referred as LAFs below) are well-established, it is unclear the influences of LAFs on the trajectory of IHD and COPD multimorbidity (referred as ICM below). Therefore, this study investigated the influences of LAFs on the trajectory of ICM from healthy to IHD or COPD, to ICM, and to all-cause death.

Methods

A cohort of 339,213 participants from the UK Biobank aged 37-73 who were free of IHD and COPD were included. A multi-state model was used to analyse the influences of high-risk factors including current smoking or quitting due to illness or physician's advice, current excessive alcohol drinking, physical inactivity, unhealthy body shape, and excessive air pollution with particulates matter with an aerodynamic diameter ≤2.5 μm (PM2.5) on ICM trajectory.

Results

During a median follow-up of 13.74 years, 46,398 participants developed IHD or COPD (referred as IOC below), 3949 developed ICM, and 35,691 died from any cause. All five high-risk factors played crucial but different roles in these transitions. The hazard ratios (95 % confidence intervals) per one-factor increase were 1.29 (1.27-1.3), 1.38 (1.33-1.44), and 1.69 (1.56-1.84) for transitions from baseline to IOC, from IOC to ICM, and from baseline to ICM and 1.19 (1.17-1.21), 1.18 (1.15-1.21), and 1.12 (1.05-1.19) for mortality risk from baseline to all-cause death, from IOC to all-cause death, and from ICM to all-cause death, respectively.

Conclusions

Our study revealed that LAFs have a stronger impact on morbidity outcomes than on morbidity outcomes. These findings provide evidence to develop strategies for managing the trajectory of ICM.

Development of a Predictive Model for Potentially Inappropriate Medications in Older Patients with Cardiovascular Disease

BACKGROUND

Older patients with cardiovascular disease (CVD) are highly susceptible to adverse drug reactions due to age-related physiological changes and the presence of multiple comorbidities, polypharmacy, and potentially inappropriate medications (PIMs).

OBJECTIVE

This study aimed to develop a predictive model to identify the use of PIMs in older patients with CVD.

METHODS

Data from 2012 to 2021 from the Changhua Christian Hospital Clinical Research Database (CCHRD) and the Kaohsiung Medical University Hospital Research Database (KMUHRD) were analyzed. Participants over the age of 65 years with CVD diagnoses were included. The CCHRD data were randomly divided into a training set (80% of the database) and an internal validation set (20% of the database), while the KMUHRD data served as an external validation set. The training set was used to construct the prediction models, and both validation sets were used to validate the proposed models.

RESULTS

A total of 48,569 patients were included. Comprehensive data analysis revealed significant associations between the use of PIMs and clinical factors such as total cholesterol, glycated hemoglobin (HbA1c), creatinine, and uric acid levels, as well as the presence of diabetes, hypertension, and cerebrovascular accidents. The predictive models demonstrated moderate power, indicating the importance of these factors in assessing the risk of PIMs.

CONCLUSIONS

This study developed predictive models that improve understanding of the use of PIMs in older patients with CVD. These models may assist clinicians in making informed decisions regarding medication safety.

The association between continuous polypharmacy and hospitalization, emergency department visits, and death in older adults: a nationwide large cohort study

Background

This study aimed to investigate the association between continuous polypharmacy and hospitalization, emergency department (ED) visits, and death.

Methods

This retrospective study utilized 6,443,896 patients aged between 65 and 84 years of National Health Insurance claims data from 2016 to 2018. Polypharmacy and excessive polypharmacy were defined as the concurrent use of 5 or more and 10 or more medications, respectively, for durations of both 90 days or more and 180 days or more within a 1-year observation period. The primary outcome measures included all-cause hospitalization, ED visits, and mortality. Multiple logistic regression models were used adjusting for patients' general characteristics, comorbidities, and history of hospitalization or ED visits.

Results

Among 2,693,897 patients aged 65-84 years who had used medicines for 180 days or more (2,955,755 patients taking medicines for 90 days or more), the adverse outcomes were as follows: 20.5% (20.3%) experienced hospitalization, 10.9% (10.8%) visited the ED, and 1% (1%) died, respectively. In patients who exhibited polypharmacy for more than 180 days, the adjusted odds ratio of adverse outcomes was 1.32 (95% confidence interval [CI], 1.31-1.33) for hospitalization, 1.32 (95% CI, 1.31-1.33) for ED visits, 1.63 (95% CI, 1.59-1.67) for death, and that in excessive polypharmacy patients for more than 180 days was 1.85 for hospitalization, 1.92 for ED visits, and 2.57 for death, compared to non-polypharmacy patients.

Conclusion

Our results suggest that polypharmacy in older adults might lead to negative health consequences. Thus, interventions to optimize polypharmacy may need to be implemented.

Association of cigarette smoking, smoking cessation with the risk of cardiometabolic multimorbidity in the UK Biobank

BACKGROUND

To investigate the association between cigarette smoking, smoking cessation and the trajectory of cardiometabolic multimorbidity (CMM), and further to examine the association of age at smoking initiation and smoking cessation with CMM.

METHODS

This study included 298,984 UK Biobank participants without cardiometabolic diseases (CMDs) (including type 2 diabetes, coronary heart diseases, stroke, and hypertension) at baseline. Smoking status was categorized into former, current, and never smokers, with age at smoking initiation and smoking cessation as a proxy for current and former smokers. The multi-state model was performed to evaluate the association between cigarette smoking, smoking cessation and CMM.

RESULTS

During a median follow-up of 13.2 years, 59,193 participants developed first cardiometabolic disease (FCMD), 14,090 further developed CMM, and 16,487 died. Compared to former smokers, current smokers had higher risk at all transitions, with hazard ratio (95% confidence interval) = 1.59 (1.55 ∼ 1.63) vs. 1.18 (1.16 ∼ 1.21) (P = 1.48 × 10- 118) from health to FCMD, 1.40 (1.33 ∼ 1.47) vs. 1.09 (1.05 ∼ 1.14) (P = 1.50 × 10- 18) from FCMD to CMM, and 2.87 (2.72 ∼ 3.03) vs. 1.38 (1.32 ∼ 1.45) (P < 0.001) from health, 2.16 (1.98 ∼ 2.35) vs. 1.25 (1.16 ∼ 1.34) (P = 1.18 × 10- 46) from FCMD, 2.02 (1.79 ∼ 2.28) vs. 1.22 (1.09 ∼ 1.35) (P = 3.93 × 10- 17) from CMM to death; whereas quitting smoking reduced the risk attributed to cigarette smoking by approximately 76.5% across all transitions. Reduced risks of smoking cessation were also identified when age at quitting smoking was used as a proxy for former smokers.

CONCLUSIONS

Cigarette smoking was associated with a higher risk of CMM across all transitions; however, smoking cessation, especially before the age of 35, was associated with a significant decrease in CMM risk attributed to cigarette smoking.

Implementing evidence-based practices to improve primary care for high-risk patients: study protocol for the VA high-RIsk VETerans (RIVET) type III effectiveness-implementation trial

BACKGROUND

Patients with significant multimorbidity and other factors that make healthcare challenging to access and coordinate are at high risk for poor health outcomes. Although most (93%) of Veterans' Health Administration (VHA) patients at high risk for hospitalization or death ("high-risk Veterans") are primarily managed by primary care teams, few of these teams have implemented evidence-based practices (EBPs) known to improve outcomes for the high-risk patient population's complex healthcare issues. Effective implementation strategies could increase adoption of these EBPs in primary care; however, the most effective implementation strategies to increase evidence-based care for high-risk patients are unknown. The high-RIsk VETerans (RIVET) Quality Enhancement Research Initiative (QUERI) will compare two variants of Evidence-Based Quality Improvement (EBQI) strategies to implement two distinct EBPs for high-risk Veterans: individual coaching (EBQI-IC; tailored training with individual implementation sites to meet site-specific needs) versus learning collaborative (EBQI-LC; implementation sites trained in groups to encourage collaboration among sites). One EBP, Comprehensive Assessment and Care Planning (CACP), guides teams in addressing patients' cognitive, functional, and social needs through a comprehensive care plan. The other EBP, Medication Adherence Assessment (MAA), addresses common challenges to medication adherence using a patient-centered approach.

METHODS

We will recruit and randomize 16 sites to either EBQI-IC or EBQI-LC to implement one of the EBPs, chosen by the site. Each site will have a site champion (front-line staff) who will participate in 18 months of EBQI facilitation.

ANALYSIS

We will use a mixed-methods type 3 hybrid Effectiveness-Implementation trial to test EBQI-IC versus EBQI-LC versus usual care using a Concurrent Stepped Wedge design. We will use the Practical, Robust Implementation and Sustainability Model (PRISM) framework to compare and evaluate Reach, Effectiveness, Adoption, Implementation, and costs. We will then assess the maintenance/sustainment and spread of both EBPs in primary care after the 18-month implementation period. Our primary outcome will be Reach, measured by the percentage of eligible high-risk patients who received the EBP.

DISCUSSION

Our study will identify which implementation strategy is most effective overall, and under various contexts, accounting for unique barriers, facilitators, EBP characteristics, and adaptations. Ultimately this study will identify ways for primary care clinics and teams to choose implementation strategies that can improve care and outcomes for patients with complex healthcare needs.

TRIAL REGISTRATION

ClinicalTrials.gov, NCT05050643. Registered September 9th, 2021, https://clinicaltrials.gov/study/NCT05050643 PROTOCOL VERSION: This protocol is Version 1.0 which was created on 6/3/2020.

Association between chronic pain and risk of cardiometabolic multimorbidity: a prospective cohort study

BACKGROUND

Although chronic pain was deleteriously related to single cardiometabolic diseases, the relationship between chronic pain and cardiometabolic multimorbidity remains unclear. The purpose of this study was to investigate the association between chronic pain with the risk of cardiometabolic multimorbidity.

METHODS

A prospective cohort study included 452 818 participants who were free of cardiometabolic multimorbidity at baseline. Chronic pain was assessed in diverse anatomical sites including the head, face, neck/shoulder, stomach/abdominal area, back, hip and knee or 'all over the body'. Participants were classified into six groups according to the amount of chronic pain sites: no chronic pain, chronic pain at one, two, three and four or more sites, and those reporting pain 'all over the body'. Cardiometabolic multimorbidity was defined as the occurrence of at least two cardiometabolic diseases, involving type 2 diabetes, ischaemic heart disease and stroke.

RESULTS

After a median follow-up of 13.7 years, 4445 participants developed cardiometabolic multimorbidity. Compared with individuals without chronic pain, those experiencing chronic pain in four or more sites were associated with a 1.82-fold (HR: 1.82, 95% CI: 1.61, 2.06) higher risk of cardiometabolic multimorbidity. Pain distributed 'all over the body' was associated with a 59% (HR: 1.59, 95% CI: 1.30, 1.93) increased risk of cardiometabolic multimorbidity Additionally, individuals who had chronic pain in both the head and stomach/abdomen showed the highest risk with cardiometabolic multimorbidity (HR: 1.88, 95% CI: 1.60, 2.20).

CONCLUSIONS

Our findings suggested that there was an elevated risk of cardiometabolic multimorbidity associated with an increased amount of chronic pain sites.

Interventions to improve medication adherence in adults with mental-physical multimorbidity in primary care: a systematic review

BACKGROUND

Medication non-adherence is a notable contributor to healthcare inefficiency, resulting in poor medication management, impaired patient outcomes, and ineffective symptom control.

AIM

To summarise interventions targeting medication adherence for adults with mental-physical multimorbidity in primary healthcare settings.

DESIGN AND SETTING

A systematic review of the literature - published in any language and with any country of origin - was conducted.

METHOD

MEDLINE, EMBASE, PsycInfo, Web of Science, Cochrane Library, and the Cumulated Index to Nursing and Allied Health Literature - more commonly known as CINAHL - were searched for relevant studies. Data were extracted and synthesised using narrative synthesis. The Effective Practice and Organisation of Care (EPOC) taxonomy was used to classify intervention types. Risk of bias was assessed using the National Heart, Lung, and Blood Institute's quality assessment tool for controlled intervention studies.

RESULTS

Eleven studies, representing 2279 patients, were included. All interventions examined were classified into one EPOC domain, namely 'delivery arrangements'. All included studies examined patients who had a physical condition and depression. Seven studies examining interventions focused on coordination of care and management of care processes reported statistically significant improvements in medication adherence that were attributed to the intervention. Four studies considering the use of information and communication technology observed no changes in medication adherence.

CONCLUSION

Interventions that coordinate and manage healthcare processes may help improve patients' adherence to medication regimes in those with mental-physical multimorbidity. However, it is still necessary to better understand how digital health technology can support patients in following their medication regimes. As the growing challenges of treating multimorbidity are faced, everyone involved in health services - from providers to policymakers - must be receptive to a more integrated approach to healthcare delivery.

Effectiveness of complex behaviour change interventions tested in randomised controlled trials for people with multiple long-term conditions (M-LTCs): systematic review with meta-analysis

INTRODUCTION

The prevalence of multiple long-term conditions (M-LTCs) increases as adults age and impacts quality of life and health outcomes. To help people manage these conditions, complex behaviour change interventions are used, often based on research conducted in those with single LTCs. However, the needs of those with M-LTCs can differ due to complex health decision-making and engagement with multiple health and care teams.

OBJECTIVES

The aim of this review is to identify whether current interventions are effective for people living with M-LTCs, and which outcomes are most appropriate to detect this change.

METHODS

Five databases (MEDLINE, Embase, PsycINFO, CINAHL and Web of Science) were systematically searched, between January 1999 and January 2022, to identify randomised controlled trials evaluating effectiveness of behaviour change interventions in people with M-LTCs. Intervention characteristics, intervention effectiveness and outcome measures were meta-analysed and narratively synthesised.

RESULTS

53 eligible articles were included. Emotional well-being and psychological distress (depression and anxiety) outcomes were most amenable to change (emotional well-being: standardised mean difference (SMD) 0.31 (95% CI 0.04 to 0.58); depression psychological distress: SMD -0.45 (95% CI -0.73 to -0.16); anxiety psychological distress: SMD -0.14 (95% CI -0.28 to 0.00)), particularly for interventions with a collaborative care approach. Interventions targeting those with a physical and mental health condition and those with cognitive and/or behavioural activation approach saw larger reductions in psychological distress outcomes. Interventions that lasted for longer than 6 months significantly improved the widest variety of outcomes.

CONCLUSION

Complex interventions can be successfully delivered to those with M-LTCs. These are most effective at reducing psychological distress in those with physical and mental LTCs. Further research is needed to identify the effective components of interventions for people with two or more physical LTCs and which outcome is most appropriate for detecting this change.

Trends in the Prevalence of Multiple Chronic Conditions Among US Adults With Hypertension From 1999-2000 Through 2017-2020

BACKGROUND

The prevalence of many chronic conditions has increased among US adults. Many adults with hypertension have other chronic conditions.

METHODS

We estimated changes in the age-adjusted prevalence of multiple (≥3) chronic conditions, not including hypertension, using data from the National Health and Nutrition Examination Survey, from 1999-2000 to 2017-2020, among US adults with (n = 24,851) and without (n = 24,337 hypertension. Hypertension included systolic blood pressure (BP) ≥130 mm Hg, diastolic BP ≥80 mm Hg, or antihypertensive medication use. We studied 14 chronic conditions: arthritis, asthma, cancer, coronary heart disease, chronic kidney disease, depression, diabetes, dyslipidemia, hepatitis B, hepatitis C, heart failure, lung disease, obesity, and stroke.

RESULTS

From 1999-2000 to 2017-2020, the age-adjusted mean number of chronic conditions increased more among US adults with vs. without hypertension (2.2 to 2.8 vs. 1.7 to 2.0; P-interaction <0.001). Also, the age-adjusted prevalence of multiple chronic conditions increased from 39.0% to 52.0% among US adults with hypertension and from 26.0% to 30.0% among US adults without hypertension (P-interaction = 0.022). In 2017-2020, after age, gender, and race/ethnicity adjustment, US adults with hypertension were 1.94 (95% confidence interval: 1.72-2.18) times as likely to have multiple chronic conditions compared to those without hypertension. In 2017-2020, dyslipidemia, obesity, and arthritis were the most common 3 co-occurring chronic conditions among US adults with and without hypertension (age-adjusted prevalence 16.5% and 3.1%, respectively).

CONCLUSIONS

In 2017-2020, more than half of US adults with hypertension had ≥3 additional chronic conditions, a substantial increase from 20 years ago.

Effectiveness of primary care interventions in conjointly treating comorbid chronic pain and depression: a systematic review and meta-analysis

BACKGROUND

Chronic pain and depression are highly comorbid, but the lack of consensus on the best treatment strategies puts patients at high risk of suboptimal care-coordination as well as health and social complications. Therefore, this study aims to quantitatively assesses how effective different primary care interventions have been in treating the comorbid state of chronic pain and depression. In particular, this study evaluates both short-term outcomes-based specifically on measures of chronic pain and depression during an intervention itself-and long-term outcomes or measures of pain and depression in the months after conclusion of the formal study intervention.

METHODS

This study is a systematic review and meta-analysis of randomised-controlled trials (RCTs) enrolling patients with concurrent chronic pain and depression. Intensity and severity of pain and depression symptoms were the primary outcomes. The main inclusion criteria were RCTs that: (i) enrolled patients diagnosed with depression and chronic pain, (ii) occurred in primary care settings, (iii) reported baseline and post-intervention outcomes for chronic pain and depression, (iv) lasted at least 8 weeks, and (v) used clinically validated outcome measures. Risk of bias was appraised with the Risk of Bias 2 tool, and GRADE guidelines were used to evaluate the quality of evidence.

RESULTS

Of 692 screened citations, 7 multicomponent primary care interventions tested across 891 patients were included. Meta-analyses revealed significant improvements in depression at post-intervention (SMD = 0.44, 95% CI [0.17, 0.71], P = 0.0014) and follow-up (SMD = 0.41, 95% CI [0.01, 0.81], P = 0.0448). Non-significant effects were observed for chronic pain at post-intervention (SMD = 0.27, 95% CI [-0.08, 0.61], P = 0.1287) and follow-up (SMD = 0.13, 95% CI [-0.3, 0.56], P = 0.5432).

CONCLUSIONS

Based on the results of the meta-analysis, primary care interventions largely yielded small to moderate positive effects for depressive symptoms and no significant effects on pain. In one study, stepped-care to be more effective in treatment of comorbid chronic pain and depression than other interventions both during the intervention and upon post-intervention follow-up. As such, depression appears more amenable to treatment than pain, but the number of published RCTs assessing both conditions is limited. More research is needed to further develop optimal treatment strategies.

The effect of multimorbidity patterns on physical and cognitive function in diabetes patients: a longitudinal cohort of middle-aged and older adults in China

Background

The prevalence of diabetes has increased rapidly, and comorbid chronic conditions are common among diabetes patients. However, little is known about the pattern of multimorbidity in diabetes patients and the effect on physical and cognitive function. This study aimed to assess the disease clusters and patterns of multimorbidity in diabetes patients using a novel latent class analysis (LCA) approach in middle-aged and older adults and explore the association between different clusters of multimorbidity in diabetes and the effect on physical and cognitive function.

Methods

This national observational study included 1,985 diabetes patients from the four waves of the China Health and Retirement Longitudinal Study (CHARLS) in 2011 to 2018. Thirteen chronic diseases were used in latent class analysis to identify the patterns of multimorbidity in diabetes, which span the cardiovascular, physical, psychological, and metabolic systems. Cognitive function is assessed via a structured questionnaire in three domains: memory, executive function, and orientation. We combined activities of daily living (ADL) with instrumental activities of daily living (IADL) to measure physical function. Linear mixed models and negative binomial regression models were used to analyze the association between patterns of multimorbidity in diabetes and the effect on cognitive function and disability, respectively.

Results

A sample of 1,985 diabetic patients was identified, of which 1,889 (95.2%) had multimorbidity; their average age was 60.6 years (standard deviation (SD) = 9.5), and 53.1% were women. Three clusters were identified: "cardio-metabolic" (n = 972, 51.5%), "mental-dyslipidemia-arthritis" (n = 584, 30.9%), and "multisystem morbidity" (n = 333, 17.6%). Compared with diabetes alone, the "multisystem morbidity" class had an increased association with global cognitive decline. All patterns of multimorbidity were associated with an increased risk of memory decline and disability; however, the "multisystem morbidity" group also had the strongest association and presented a higher ADL-IADL disability (ratio = 4.22, 95% CI = 2.52, 7.08) and decline in memory Z scores (β = -0.322, 95% CI = -0.550, -0.095, p = 0.0058).

Conclusion

Significant longitudinal associations between different patterns of multimorbidity in diabetes patients and memory decline and disability were observed in this study. Future studies are needed to understand the underlying mechanisms and common risk factors for multimorbidity in diabetes patients and to propose treatments that are more effective.

Association of adiposity indicators with cardiometabolic multimorbidity risk in hypertensive patients: a large cross-sectional study

Background

Cardiometabolic multimorbidity (CMM) has emerged as a prominent public health concern. Hypertensive patients are prone to develop comorbidities. Moreover, the accumulation of visceral adipose tissue is the main cause for the development of cardiometabolic diseases. The cardiometabolic index (CMI), lipid accumulation product (LAP), visceral adiposity index (VAI), and Chinese visceral adiposity index (CVAI) not only assess adipose tissue mass but also reflect adipose tissue dysfunction. So far, no study has been reported to evaluate the association of CMI, LAP, VAI, and CVAI with CMM risk in hypertensive patients. Therefore, this study aimed to assess the association between these adiposity indicators and the risk of CMM among Chinese hypertensive patients.

Methods

In this cross-sectional study, a total of 229,287 hypertensive patients aged 35 years and older were included from the National Basic Public Health Service Project. All participants underwent a face-to-face questionnaire survey, physical examination, and the collection of fasting venous blood samples. Multivariable logistic regression models were performed to estimate odds ratios (ORs) and 95% confidence intervals (CIs). Receiver operating characteristic curve was utilized to evaluate the identification ability for CMM.

Results

After adjusting for confounders, each 1-standard deviation increase in CMI, LAP, VAI, and CVAI was associated with a 14%, 8%, 12%, and 54% increased risk of CMM, respectively. When comparing the highest quartile of these indicators with the lowest quartile, individuals in the highest quartile of CMM, LAP, VAI, and CVAI had a 1.39-fold (95% CI 1.30, 1.48), 1.28-fold (95% CI 1.19, 1.37), 1.37-fold (95% CI 1.29, 1.46), and 2.56-fold (95% CI 2.34, 2.79) increased risk of CMM after adjusting for potential confounders. Notably, a nonlinear association was observed for CMI, LAP, and VAI with the risk of CMM (all P nonlinearity < 0.001). CVAI exhibited the highest area under the receiver operating characteristic curve (AUC) among all the included adiposity indices in this analysis.

Conclusion

This study indicated the significant positive association of CMI, LAP, VAI, and CVAI with the risk of CMM in hypertensive patients. Among these indicators, CVAI demonstrated the most robust performance in predicting CMM risk and may serve as a valuable tool for identifying CMM risk in Chinese hypertensive patients.

Nutrient intake and risk of multimorbidity: a prospective cohort study of 25,389 women

BACKGROUND

Multimorbidity is becoming an increasingly serious public health challenge in the aging population. The impact of nutrients on multimorbidity remains to be determined and was explored using data from a UK cohort study.

METHOD

Our research analysis is mainly based on the data collected by the United Kingdom Women's Cohort Study (UKWCS), which recruited 35,372 women aged 35-69 years at baseline (1995 to 1998), aiming to explore potential associations between diet and chronic diseases. Daily intakes of energy and nutrients were estimated using a validated 217-item food frequency questionnaire at recruitment. Multimorbidity was assessed using the Charlson comorbidity index (CCI) through electronic linkages to Hospital Episode Statistics up to March 2019. Cox's proportional hazards models were used to estimate associations between daily intakes of nutrients and risk of multimorbidity. Those associations were also analyzed in multinomial logistic regression as a sensitivity analysis. In addition, a stratified analysis was conducted with age 60 as the cutoff point.

RESULTS

Among the 25,389 participants, 7,799 subjects (30.7%) were confirmed with multimorbidity over a median follow-up of 22 years. Compared with the lowest quintile, the highest quintile of daily intakes of energy and protein were associated with 8% and 12% increased risk of multimorbidity respectively (HR 1.08 (95% CI 1.01, 1.16), p-linearity = 0.022 for energy; 1.12 (1.04, 1.21), p-linearity = 0.003 for protein). Higher quintiles of daily intakes of vitamin C and iron had a slightly lowered risk of multimorbidity, compared to the lowest quintile. A significantly higher risk of multimorbidity was found to be linearly associated with higher intake quintiles of vitamin B12 and vitamin D (p-linearity = 0.001 and 0.002, respectively) in Cox models, which became insignificant in multinomial logistic regression. There was some evidence of effect modification by age in intakes of iron and vitamin B1 associated with the risk of multimorbidity (p-interaction = 0.006 and 0.025, respectively).

CONCLUSIONS

Our findings highlight a link between nutrient intake and multimorbidity risk. However, there is uncertainty in our results, and more research is needed before definite conclusions can be reached.

Barriers and Facilitators of a Community-Based, Slow-Stream Rehabilitation, Hospital-to-Home Transition Program for Older Adults: Perspectives of a Multidisciplinary Care Team

The purpose of this study was to examine the perspectives of support staff, health care professionals, and care coordinators working in or referring to a community-based, slow-stream rehabilitation, hospital-to-home transition program regarding gaps in services, and barriers and facilitators related to implementation and functioning of the program. This was a qualitative descriptive study. Recruitment was conducted through purposive sampling, and 23 individuals participated in a focus groups or individual semi-structured interview. Transcripts were analyzed by six researchers using inductive thematic analysis. Themes that emerged were organized based on a socio-ecological framework. Themes were categorized as: (1) macro level, meaning gaps while waiting for program, limited program capacity, and gaps in service post-program completion; (2) meso level, meaning lack of knowledge and awareness of the program, lack of specific referral process and procedures, lack of specific eligibility criteria, and need for enhanced communication among care settings; or (3) micro level, meaning services provided, program participant benefits, person-centred communication, program structure constraints, need for use of outcome measures, and follow-up or lack of follow-up. Implementation of seamless patient information sharing, documentation, use of specific referral criteria, and use of standardized outcome measures may reduce the number of unsuitable referrals and provide useful information for referral and program staff.

The effectiveness of chronic disease management planning on self-management among patients with diabetes at general practice settings in Australia: a scoping review

BACKGROUND

Medicare provides significant funding to improve, encourage and coordinate better practices in primary care. Medicare-rebated Chronic Disease Management (CDM) plans are a structured approach to managing chronic diseases in Australia. These chronic disease care plans are intended to be a vehicle to deliver guideline-based / evidence-based care.. However, recommended care is not always provided, and health outcomes are often not achieved. This scoping review aimed to identify the specific components of CDM plans that are most effective in promoting self-management, as well as the factors that may hinder or facilitate the implementation of these plans in general practice settings in Australia.

METHOD

A comprehensive search was conducted using multiple electronic databases, considering inclusion and exclusion criteria. Two reviewers independently screened the titles and abstracts of the identified studies via Covidence, and the full texts of eligible studies were reviewed for inclusion. A data extraction template was developed based on the Cochrane Effective Practice and Organization of Care Group (EPOC) to classify the intervention methods and study outcomes. A narrative synthesis approach was used to summarize the findings of the included studies. The quality of the included studies was assessed using the JBI Critical Appraisal Checklist.

RESULTS

Seventeen articles were included in the review for analysis and highlighted the effectiveness of CDM plans on improving patient self-management. The findings demonstrated that the implementation of CDM plans can have a positive impact on patient self-management. However, the current approach is geared towards providing care to patients, but there are limited opportunities for patients to engage in their care actively. Furthermore, the focus is often on achieving the outcomes outlined in the CDM plans, which may not necessarily align with the patient's needs and preferences. The findings highlighted the significance of mutual obligations and responsibilities of team care for patients and healthcare professionals, interprofessional collaborative practice in primary care settings, and regular CDM plan reviews.

CONCLUSION

Self-management support remains more aligned with a patient-centred collaboration approach and shared decision-making and is yet to be common practice. Identifying influential factors at different levels of patients, healthcare professionals, and services affecting patients' self-management via CDM plans can be crucial to developing the plans.

Longer Multimorbidity Intervals Are Associated With Lower Mortality in Diabetes: A Whole-Population Nested Case-Control Study

BACKGROUND

Approximately two-thirds of diabetes patients develop multimorbidity, which is associated with increased mortality. We aimed to examine whether, and to what extent, the time interval between pre-existing diabetes and a second chronic disease may be associated with the risk of mortality.

METHODS

We carried out a territory-wide nested case-control study using incidence density sampling, utilizing electronic health records from Hong Kong's public healthcare facilities. Among 158 732 patients first diagnosed with diabetes from January 1, 2010 to December 31, 2012 and subsequently developed multimorbidity as of December 31, 2019, we extracted those who died before December 31, 2019 as case participants. For each participant, we randomly matched with up to 4 people of the same sex, multimorbidity age, and second chronic condition who had not died after going through the same survival period of the case participant. Multimorbidity interval was included as a continuous variable. We used conditional logistic regression to estimate adjusted odds ratios (aOR) for mortality.

RESULTS

In total, 3508 case participants were matched with 14 032 control participants. Conditional logistic regression showed there were 19%-reduced odds of mortality following the extension of multimorbidity interval by 1 year. Similar associations were observed in men, women, people aged 64 years or younger, and older people aged 65 years or more.

CONCLUSIONS

Delayed multimorbidity among patients living with diabetes may be related to a lower risk of mortality. This study suggests that we should focus on mitigating and lowering the risk of multimorbidity in clinical management of diabetes to reduce further complication and mortality.

Can social prescribing put the 'social' into the biopsychosocial management of people with long-term musculoskeletal disorders?

BACKGROUND

Chronic musculoskeletal disorders (MSD) are a significant burden on individuals' quality of life and society and are made more complex by the presence of multimorbidity. It is recommended that interventions targeting MSD be sustainable, equitable and incorporate the biopsychosocial model of care (BPS).

AIMS

A criticism of the BPS approach is that the social component of this model is not addressed adequately during the management of people with long-term MSD and that a gap exists between theory and implementation. The use of social prescribing (SP) as an intervention to bridge this gap is discussed.

RESULTS AND DISCUSSION

Social prescribing is a holistic non-medical person-centered approach to well-being that utilizes link workers (LW) to support individuals with long-term conditions (LTC) in the community. Social prescribing referrals are received from primary healthcare practitioners to LW and range from light touch signposting for employment or financial advice to more intensive support for LTC such as obesity, decreased physical activity and mental health needs.

CONCLUSION

There is evidence to suggest that SP interventions are effective in the management of LTC; however, due to the paucity of high-quality evidence, it is difficult to be conclusive. Large-scale randomised controlled trials are recommended to support the use of SP interventions in the management of LTC.

Association Between the Healthy Lifestyle Index and Risk of Multimorbidity in the Women's Health Initiative

BACKGROUND

Multimorbidity, defined as the presence of 2 or more chronic health conditions, is increasingly common among older adults. The combination of lifestyle characteristics such as diet quality, smoking status, alcohol intake, physical activity (PA), sleep duration, and body fat as assessed by body mass index (BMI) or waist circumference, and risk of multimorbidity are not well understood.

OBJECTIVES

We investigated the association between the healthy lifestyle index (HLI), generated by combining indicators of diet quality, smoking, alcohol, PA, sleep amount, and BMI, and risk of multimorbidity, a composite outcome that included cardiovascular disease (CVD), diabetes, cancer, and fracture.

METHODS

We studied 62 037 postmenopausal women aged 50-79 years at enrollment in the Women's Health Initiative, with no reported history of CVD, diabetes, cancer, or fracture at baseline. Lifestyle characteristics measured at baseline were categorized and a score (0-4) was assigned to each category. The combined HLI (0-24) was grouped into quintiles, with higher quintiles indicating a healthier lifestyle. Multivariable adjusted estimates of hazard ratios (HRs) and 95% confidence intervals (95% CIs) for the risk of developing multimorbidity were obtained using Cox proportional hazard models.

RESULTS

Over an average follow-up period of 16.3 years, 5 656 women developed multimorbidity. There was an inverse association between the HLI levels and risk of multimorbidity (compared to the HLI_1st quintile: HR_2nd quintile = 0.81 95% CI 0.74-0.83, HR_3rd quintile = 0.77 95% CI 0.71-0.83, HR_4th quintile = 0.70 95% CI 0.64-0.76, and HR_5th quintile = 0.60 95% CI 0.54-0.66; p trend < .001). Similar associations were observed after stratification by age or BMI categories.

CONCLUSIONS

Among postmenopausal women, higher levels of the HLI were associated with a reduced risk of developing multimorbidity.

A Systematic Review of Outcomes Related to Nurse Practitioner-Delivered Primary Care for Multiple Chronic Conditions

Multiple chronic conditions (MCCs) are more common and costly than any individual health condition in the United States. The growing workforce of nurse practitioners (NPs) plays an active role in providing primary care to this patient population. This study identifies the effect of NP primary care models, compared with models without NP involvement, on cost, quality, and service utilization by patients with MCCs. We conducted a literature search of six databases and performed critical appraisal. Fifteen studies met inclusion criteria (years: 2003-2021). Overall, most studies showed reduced or similar costs, equivalent or better quality, and similar or lower rates of emergency department use and hospitalization associated with NP primary care models for patients with MCCs, compared with models without NP involvement. No studies found them associated with worse outcomes. Thus, NP primary care models, compared with models without NP involvement, have similar or positive impacts on MCC patient outcomes.

Clinical Risk Factors of Perioperative Pressure Injury in Older Adult Patients with a Hip Fracture

OBJECTIVE

To examine the clinical risk factors of perioperative pressure injury (PrI) in older adults with a hip fracture, including preoperative chronic comorbidities and postoperative complications.

METHODS

In this retrospective study, the authors queried the PearlDiver Patient Records database between January 2011 and January 2020. Data from 54,194 patients without preexisting PrI were included for analyses. Patients were separated into two groups: (1) one or more perioperative PrI and (2) no PrI. Clinical factors as outcome variables include 21 comorbidities and 10 complications.

RESULTS

Univariate analyses were computed to compare the variables between groups, and two logistic regression models were developed to find comorbidity predictors and complication predictors. Of all patients, 1,362 (2.5%) developed one or more perioperative PrI. Patients with perioperative PrIs were more likely to be older men. One-year mortality for patients with perioperative PrI was 2.5 times that of patients without PrI. The regression models showed that predictors of perioperative PrI are malnutrition, hypoalbuminemia, frailty, peripheral vascular disease, dementia, urinary tract infection, perioperative red blood cell transfusion, and atrial fibrillation.

CONCLUSIONS

Screening for these comorbidities and complications may assist in determining the risk of PrI in older adults undergoing hip fracture surgery. Determining PrI risk enables the appropriate prevention strategies to be applied perioperatively.

Caring for high-need patients

OBJECTIVE

We aimed to explore the construct of "high need" and identify common need domains among high-need patients, their care professionals, and healthcare organizations; and to describe the interventions that health care systems use to address these needs, including exploring the potential unintended consequences of interventions.

METHODS

We conducted a modified Delphi panel informed by an environmental scan. Expert stakeholders included patients, interdisciplinary healthcare practitioners (physicians, social workers, peer navigators), implementation scientists, and policy makers. The environmental scan used a rapid literature review and semi-structured interviews with key informants who provide healthcare for high-need patients. We convened a day-long virtual panel meeting, preceded and followed by online surveys to establish consensus.

RESULTS

The environmental scan identified 46 systematic reviews on high-need patients, 19 empirical studies documenting needs, 14 intervention taxonomies, and 9 studies providing construct validity for the concept "high need." Panelists explored the construct and terminology and established that individual patients' needs are unique, but areas of commonality exist across all high-need patients. Panelists agreed on 11 domains describing patient (e.g., social circumstances), 5 care professional (e.g., communication), and 8 organizational (e.g., staffing arrangements) needs. Panelists developed a taxonomy of interventions with 15 categories (e.g., care navigation, care coordination, identification and monitoring) directed at patients, care professionals, or the organization. The project identified potentially unintended consequences of interventions for high-need patients, including high costs incurred for patients, increased time and effort for care professionals, and identification of needs without resources to respond appropriately.

CONCLUSIONS

Care for high-need patients requires a thoughtful approach; differentiating need domains provides multiple entry points for interventions directed at patients, care professionals, and organizations. Implementation efforts should consider outlined intended and unintended downstream effects on patients, care professionals, and organizations.

Feasibility and outcomes of using DIALOG+ in primary care to improve quality of life and mental distress of patients with long-term physical conditions: an exploratory non-controlled study in Bosnia and Herzegovina, Colombia and Uganda

INTRODUCTION

The management of long-term physical conditions is a challenge worldwide, absorbing a majority resources despite the importance of acute care. The management of these conditions is done largely in primary care and so interventions to improve primary care could have an enormous impact. However, very little data exist on how to do this. Mental distress is frequently comorbid with long term physical conditions, and can impact on health behaviour and adherence, leading to poorer outcomes. DIALOG+ is a low-cost, patient-centred and solution-focused intervention, which is used in routine patient-clinician meetings and has been shown to improve outcomes in mental health care. The question arises as to whether it could also be used in primary care to improve the quality of life and mental health of patients with long-term physical conditions. This is particularly important for low- and middle-income countries with limited health care resources.

METHODS

An exploratory non-controlled multi-site trial was conducted in Bosnia and Herzegovina, Colombia, and Uganda. Feasibility was determined by recruitment, retention, and session completion. Patient outcomes (quality of life, anxiety and depression symptoms, objective social situation) were assessed at baseline and after three approximately monthly DIALOG+ sessions.

RESULTS

A total of 117 patients were enrolled in the study, 25 in Bosnia and Herzegovina, 32 in Colombia, and 60 in Uganda. In each country, more than 75% of anticipated participants were recruited, with retention rates over 90% and completion of the intervention exceeding 92%. Patients had significantly higher quality of life and fewer anxiety and depression symptoms at post-intervention follow-up, with moderate to large effect sizes. There were no significant improvements in objective social situation.

CONCLUSION

The findings from this exploratory trial suggest that DIALOG+ is feasible in primary care settings for patients with long-term physical conditions and may substantially improve patient outcomes. Future research may test implementation and effectiveness of DIALOG+ in randomized controlled trials in wider primary care settings in low- and middle-income countries.

TRIAL REGISTRATION

All studies were registered prospectively within the ISRCTN Registry. ISRCTN17003451, 02/12/2020 (Bosnia and Herzegovina), ISRCTN14018729, 01/12/2020 (Colombia) and ISRCTN50335796, 02/12/2020 (Uganda).

Primary care utilisation, adherence to guideline-based pharmacotherapy and continuity of care in primary care patients with chronic diseases and multimorbidity - a cross-sectional study

BACKGROUND

To understand how to improve care for patients with chronic diseases and multimorbidity we wanted to describe the prevalence of different chronic diseases and the pattern of multimorbidity and to analyse the associations between occurrence of diseases and primary care utilization, adherence to guideline-based pharmacotherapy, and continuity of care.

METHODS

Retrospective cross-sectional study of routine care data of the general population in region Jönköping in Sweden (345 916 inhabitants using primary care services) covering 4.3 years.

PARTICIPANTS

Patients fulfilling the inclusion criteria of having ≥ 1 of 10 common chronic diseases and ≥ 3 visits to primary care between 2011 and 2015.

PRIMARY OUTCOME MEASURES

In order to determine diseases and multimorbidity, primary care utilisation, adherence to guideline-based pharmacotherapy, frequencies and percentages, interval and ratio scaled variables were described using means, standard deviations, and various percentiles in the population. Two continuity indices were used (MMCI, COC) to describe continuity.

RESULTS

Of the general population, 25 829 patients fulfilled the inclusion criteria (7.5% of the population). Number of diseases increased with increasing age, and multimorbidity was much more common than single diseases (mean 2.0 per patient). There was a slight positive correlation (0.29) between number of diseases and visits, but visits did not increase proportionally to the number of diseases. Patients with physical diseases combined with anxiety and/or depression made more visits than others. The number of diseases per patient was negatively associated with the adherence to pharmacotherapy guidelines. There was no association between continuity and healthcare utilisation or adherence to pharmacotherapy guidelines.

CONCLUSIONS

Multimorbid patients are common in primary care and for many chronic diseases it is more common to have other simultaneous diseases than having only one disease. This can make adherence to pharmacotherapy guidelines a questionable measure for aged multimorbid patients. Existing continuity indices also revealed limitations. Holistic and patient-centred measures should be used for quality assessment of care for multimorbid patients in primary care.

Relationship of triglyceride-glucose index with cardiometabolic multi-morbidity in China: evidence from a national survey

BACKGROUND

Cardiometabolic multi-morbidity (CMM) is emerging as a global healthcare challenge and a pressing public health concern worldwide. Previous studies have principally focused on identifying risk factors for individual cardiometabolic diseases, but reliable predictors of CMM have not been identified. In the present study, we aimed to characterize the relationship of triglyceride-glucose (TyG) index with the incidence of CMM.

METHODS

We enrolled 7,970 participants from the China Health and Retirement Longitudinal Study (CHARLS) and placed them into groups according to quartile of TyG index. The endpoint of interest was CMM, defined as the presence of at least two of the following: stroke, heart disease, and diabetes mellitus. Cox regression models and multivariable-adjusted restricted cubic spline (RCS) curves were used to evaluate the relationship between TyG index and CMM.

RESULTS

In total, 638 (8.01%) incident cases of CMM were recorded among the participants who did not have CMM at baseline (2011) during a median follow-up of 84 months (interquartile range, 20‒87 months). The incidences of CMM for the participants in quartiles (Q) 1-4 of TyG index were 4.22%, 6.12%, 8.78%, and 12.60%, respectively. A fully adjusted Cox model showed that TyG index was closely associated with the incidence of CMM: the hazard ratio (HR) [95% confidence interval (CI)] for each 1.0-unit increment in TyG index for CMM was 1.54 (1.29-1.84); and the HRs (95% CIs) for Q3 and Q4 (Q1 as reference) of the TyG index for CMM were 1.41 (1.05-1.90) and 1.61 (1.18-2.20), respectively. The association of TyG index with the incidence of CMM was present in almost all the subgroups, and persisted in the sensitivity analyses and additional analyses. Multivariable-adjusted RCS analysis revealed a significant dose-response relationship of TyG index with the risk of CMM (overall P < 0.001; non-linear P = 0.129).

CONCLUSIONS

We found that a high TyG index is associated with a higher risk of incident CMM. This finding may have significance for clinical practice and facilitate the creation of a personalized prevention strategy that involves monitoring the TyG index.

Effectiveness of holistic assessment-based interventions for adults with multiple long-term conditions and frailty: an umbrella review of systematic reviews

Holistic assessment-based interventions (HABIs) are effective in older people admitted to hospital, but it is unclear whether similar interventions are effective in adults with multiple long-term conditions or frailty in the community. We conducted an umbrella review to comprehensively evaluate the literature on HABIs for adults (aged ≥18 years) with multiple long-term conditions, and frailty. We searched eight databases for systematic reviews reporting on experimental or quasi-experimental studies. Of 9803 titles screened, we identified 29 eligible reviews (14 with meta-analysis) reporting on 14 types of HABIs. The evidence for the effectiveness of HABIs was largely inconsistent across different types of interventions, settings, and outcomes. We found evidence of no benefit from hospital HABIs on health-related quality of life (HRQoL) and emergency department re-attendance, and evidence of no benefit from community HABIs on overall health-care utilisation rates, emergency department attendance, nursing home admissions, and mortality. The best evidence of effectiveness was for hospital comprehensive geriatric assessment (CGA) on nursing home admissions, keeping patients alive and in their own homes. There was some evidence of benefit from community CGA on hospital admissions, and from CGA spanning community and hospital settings on HRQoL. Patient-centred medical homes had beneficial effects on HRQoL, mental health, self-management, and hospital admissions.

Racial differences in healthcare expenditures for prevalent multimorbidity combinations in the USA: a cross-sectional study

BACKGROUND

We aimed to model total charges for the most prevalent multimorbidity combinations in the USA and assess model accuracy across Asian/Pacific Islander, African American, Biracial, Caucasian, Hispanic, and Native American populations.

METHODS

We used Cerner HealthFacts data from 2016 to 2017 to model the cost of previously identified prevalent multimorbidity combinations among 38 major diagnostic categories for cohorts stratified by age (45-64 and 65 +). Examples of prevalent multimorbidity combinations include lipedema with hypertension or hypertension with diabetes. We applied generalized linear models (GLM) with gamma distribution and log link function to total charges for all cohorts and assessed model accuracy using residual analysis. In addition to 38 major diagnostic categories, our adjusted model incorporated demographic, BMI, hospital, and census division information.

RESULTS

The mean ages were 55 (45-64 cohort, N = 333,094) and 75 (65 + cohort, N = 327,260), respectively. We found actual total charges to be highest for African Americans (means $78,544 [45-64], $176,274 [65 +]) and lowest for Hispanics (means $29,597 [45-64], $66,911 [65 +]). African American race was strongly predictive of higher costs (p < 0.05 [45-64]; p < 0.05 [65 +]). Each total charge model had a good fit. With African American as the index race, only Asian/Pacific Islander and Biracial were non-significant in the 45-64 cohort and Biracial in the 65 + cohort. Mean residuals were lowest for Hispanics in both cohorts, highest in African Americans for the 45-64 cohort, and highest in Caucasians for the 65 + cohort. Model accuracy varied substantially by race when multimorbidity grouping was considered. For example, costs were markedly overestimated for 65 + Caucasians with multimorbidity combinations that included heart disease (e.g., hypertension + heart disease and lipidemia + hypertension + heart disease). Additionally, model residuals varied by age/obesity status. For instance, model estimates for Hispanic patients were highly underestimated for most multimorbidity combinations in the 65 + with obesity cohort compared with other age/obesity status groupings.

CONCLUSIONS

Our finding demonstrates the need for more robust models to ensure the healthcare system can better serve all populations. Future cost modeling efforts will likely benefit from factoring in multimorbidity type stratified by race/ethnicity and age/obesity status.

Association of adiposity indices with cardiometabolic multimorbidity among 101,973 chinese adults: a cross-sectional study

BACKGROUND

Cardiometabolic multimorbidity (CMM) and obesity represent two major health problems. The relationship between adiposity indices and CMM, however, remains understudied. This study aimed to investigate the associations of body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR), a body shape index (ABSI), body roundness index (BRI), and conicity index (CI) with CMM among Chinese adults.

METHODS

Data of 101,973 participants were collected from a population-based screening project in Southern China. CMM was defined as having two or more of the following diseases: coronary heart disease, stroke, hypertension, and diabetes. The relationship between the six adiposity indices and CMM was investigated by multivariate logistic regression and restricted cubic splines. Receiver operator characteristic curve, C-statistic and net reclassification index were used to estimate the discriminative and incremental values of adiposity indices on CMM.

RESULTS

Logistic regression models showed the six adiposity indices were all significantly associated with the odds of CMM with non-linear relationships. For per SD increment, WC (Odds ratio [OR]: 1.66; 95% confidence interval (CI): 1.62-1.70) and WHtR (OR, 1.61; 95% CI, 1.58-1.65) were more significantly associated with a higher prevalence of CMM than BMI (OR, 1.55; 95% CI, 1.52-1.58) (all P < 0.05). In addition, WC, WHtR, and BRI displayed significantly better performance in detecting CMM compared with BMI (all P < 0.05). Their respective area under the curve (AUC) values were 0.675 (95% CI: 0.670-0.680), 0.679 (95% CI: 0.675-0.684), and 0.679 (95% CI: 0.675-0.684), while BMI yielded an AUC of 0.637 (95% CI: 0.632-0.643). These findings hold true across all subgroups based on sex and age. When Adding WC, WHtR, or BRI to a base model, they all provided larger incremental values for the discrimination of CMM compared with BMI (all P < 0.05).

CONCLUSIONS

Adiposity indices were closely associated with the odds of CMM, with WC and WHtR demonstrating stronger associations than BMI. WC, WHtR, and BRI were superior to BMI in discriminative ability for CMM. Avoidance of obesity (especially abdominal obesity) may be the preferred primary prevention strategy for CMM while controlling for other major CMM risk factors.

Generating Items for Measuring Needs-Based Quality of Life and Self-Perceived Health Inequity in Patients with Multimorbidity: Development of the MultiMorbidity Questionnaire (MMQ)

Purpose

To describe the processes of developing domains and items for the MultiMorbidity Questionnaire (MMQ), a multimorbidity-specific PROM for the assessment of Needs-based QoL.

Patients and Methods

We developed items and domains for the MMQ through 17 qualitative content validity questionnaire interviews with adults with multimorbidity by testing items from an item bank (covering items with content inspired by existing Needs-based QoL measures for single diseases). The interviews alternated between an explorative part and more focused cognitive interview techniques.

Results

Testing the 47 items from the first draft of the MMQ items showed that the Needs-based approach as a framework did not cover all the QoL aspects our informants stated as being important. Therefore, the conceptual framework was supplemented by Self-perceived health inequity, and new items were generated. MMQ, measuring Needs-based QoL (MMQ1) and Self-perceived health inequity (MMQ2), was assembled. MMQ1 covers the domains: "Physical ability" (10 items), "Limitations in everyday life" (15 items), "Worries" (11 items), "My social life" (11 items), "Self-image" (12 items), and "Personal finances" (2 items). Self-perceived health inequity proved to be a relevant framework for other aspects of QoL not covered by the Needs-based approach to QoL. MMQ2 covers the domains: "Experiences of being stigmatized" (five items), "Experiences of not being seen and heard" (four items), "Insufficient understanding of the burden of disease" (three items) and "Experiences of feeling powerless" (five items).

Conclusion

We have developed the final MMQ draft, a multimorbidity-specific PROM for the assessment of Needs-based QoL (MMQ1) and Self-perceived health inequity (MMQ2) with high content validity (regarding content relevance and comprehensiveness). The final MMQ draft will be assessed for its psychometric properties using Modern Test Theory.

Association of cognitive impairment and diabetes on survival in Chinese older people with hypertension: a 10-year prospective study

BACKGROUND

Older people with hypertension may have more complex multisystem problems and a higher risk of morbidity and mortality. We aimed to examine the association of cognitive impairment (CI) and diabetes mellitus (DM) on all-cause mortality in the aged with hypertension (HTN).

METHODS

This is a prospective cohort study with a sample of 1017 older people with hypertension aged 60 years or older who completed baseline examinations in 2009-2010 and followed up for ten years in 2020. The endpoint was death from any cause. Subjects were categorized as HTN only, HTN + DM, HTN + CI, and HTN + DM + CI. Cox regression model was used to determine the association of comorbidities on all-cause mortality.

RESULTS

During the 10-year follow-up period, 196 deaths occurred. After adjusted for covariates, risk of death from any cause was significantly increased in the older people with increased comorbidities (P = 0.003). Compared with the HTN only, with HTN + CI, and HTN + DM + CI, the HRs (95% confidence intervals) for all-cause mortality were 1.61(1.13-2.30) and 1.79(1.07-2.99), respectively. In stratified analyses, the relationship between comorbidities level and the risk of all-cause mortality persisted.

CONCLUSION

All-cause mortality risks increased with increasing the comorbidities. This study emphasizes the importance of comprehensive management of the older people with HTN in clinical practice and public health policy.