Development of a research tool to document self-reported chronic conditions in primary care

Making progress against rare cancers: A case study on neuroendocrine tumors

In April 2023, the National Cancer Institute offered a roadmap for cancer research to achieve Cancer Moonshot goals. To reach these goals requires making progress for all cancers, not just those that are most common. Achieving progress against rare cancers, as well as common cancers, requires involvement of large clinical research networks. In 2020, the Patient-Centered Outcomes Research Institute (PCORI) launched an initiative on Conducting Rare Disease Research using PCORnet, the National Patient-Centered Clinical Research Network. The purpose of this commentary is to introduce the broader community of cancer researchers to the PCORnet NET-PRO study (comparing the effects of different treatment approaches for neuroendocrine tumors on patient-reported outcomes) thereby demonstrating how researchers can use the PCORnet infrastructure to conduct large-scale patient-centered studies of rare cancers.

Patient experiences in primary care do not differ according to rurality: a cross-sectional study

BACKGROUND

Living in rural areas is a major contributor of health inequity. Tackling health inequity is important for primary care physicians. Therefore, it is important to compare the quality of primary care between rural and urban areas. To the best of our knowledge, this is the first study to examine the association between rurality and patient experience (PX) in Japan using validated measures.

METHODS

This cross-sectional study was conducted using online surveys. Participants were selected using a stratified random sample based on sex and age. The Japanese version of the Person-Centered Primary Care Measure (PCPCM) was used as an indicator of PX. We used the Rurality Index for Japan (RIJ) to measure rurality. Furthermore, we used multivariate linear regression analysis to examine the relationship between the RIJ and PCPCM after adjusting for confounders.

RESULTS

Of the 1112 eligible participants, 800 responded to the survey (response rate:71.9%). The mean PCPCM scores were 2.46 (standard deviation: 0.73) and median RIJ was 15 (interquartile range: 6-33). The crude and adjusted coefficients of rurality were - 0.02 (- 0.006-0.001, p = 0.114) and - 0.02 (- 0.005-0.001), respectively, demonstrating that rurality was not significantly associated with the total PCPCM score. Subgroup analyses were similar to the main analyses.

CONCLUSION

We found that PX in primary care did not differ by rurality in the general Japanese population.

The Impact of Multimorbidity Patterns on Changes in Physical Activity and Physical Capacity Among Older Adults Participating in a Year-Long Exercise Intervention

This study investigated the impact of multimorbidity patterns on physical activity and capacity outcomes over the course of a year-long exercise intervention, and on physical activity 1 year later. Participants were 314 physically inactive community-dwelling men and women aged 70-85 years, with no contraindications for exercise at baseline. Physical activity was self-reported. Physical capacity measurements included five-time chair-stand time, 6-minute walking distance, and maximal isometric knee-extension strength. The intervention included supervised and home-based strength, balance, and walking exercises. Multimorbidity patterns comprised physician-diagnosed chronic disease conditions as a predictor cluster and body mass index as a measure of obesity. Multimorbidity patterns explained 0%-12% of baseline variance and 0%-3% of the change in outcomes. The magnitude and direction of the impact of unique conditions varied by outcome, time point, and sex. Multimorbid older adults with no contraindications for exercise may benefit from multimodal physical training.

Primary care services and emergency department visits in blended fee-for-service and blended capitation models: evidence from Ontario, Canada

INTRODUCTION

It is well-known that the way physicians are remunerated can affect delivery of health care services to the population. Fee-for-service (FFS) generally leads to oversupply of services, while capitation leads to undersupply of services. However, little evidence exists on the link between remuneration and emergency department (ED) visits. We fill this gap using two popular blended models introduced in Ontario, Canada: the Family Health Group (FHG), an enhanced/blended FFS model, and Family Health Organization (FHO), a blended capitation model. We compare primary care services and rates of emergency department ED visits between these two models. We also evaluate whether these outcomes vary by regular- and after-hours, and patient morbidity status.

METHODS

Physicians practicing in an FHG or FHO between April 2012 and March 2017 and their enrolled adult patients were included for analyses. The covariate-balancing propensity score weighting method was used to remove the influence of observable confounding and negative-binomial and linear regression models were used to evaluate the rates of primary care services, ED visits, and the dollar value of primary care services delivered between FHGs and FHOs. Visits were stratified as regular- and after-hours. Patients were stratified into three morbidity groups: non-morbid, single-morbid, and multimorbid (two or more chronic conditions).

RESULTS

6184 physicians and their patients were available for analysis. Compared to FHG physicians, FHO physicians delivered 14% (95% CI 13%, 15%) fewer primary care services per patient per year, with 27% fewer services during after-hours (95% CI 25%, 29%). Patients enrolled to FHO physicians made 27% more less-urgent (95% CI 23%, 31%) and 10% more urgent (95% CI 7%, 13%) ED visits per patient per year, with no difference in very-urgent ED visits. Differences in the pattern of ED visits were similar during regular- and after-hours. Although FHO physicians provided fewer services, multimorbid patients in FHOs made fewer very-urgent and urgent ED visits, with no difference in less-urgent ED visits.

CONCLUSION

Primary care physicians practicing in Ontario's blended capitation model provide fewer primary care services compared to those practicing in a blended FFS model. Although the overall rate of ED visits was higher among patients enrolled to FHO physicians, multimorbid patients of FHO physicians make fewer urgent and very-urgent ED visits.

The role of primary care attributes in preventing loss or change of usual source of care: a nationwide cohort study

BACKGROUND

The existence of a stable usual source of care (USC) is fundamental to the provision of quality health care. However, no longitudinal studies have examined whether core primary care attributes influence the stability of USC status.

OBJECTIVES

We aimed to examine the association between primary care attributes (first contact, longitudinality, coordination, comprehensiveness, and community orientation) and the loss or change of USC.

METHODS

This nationwide cohort study was conducted during the coronavirus disease 2019 pandemic using a representative sample of the Japanese adult population aged 40-75 years. The primary outcome measures were loss of USC and voluntary change in USC during the 12-month follow-up period. Primary care attributes were evaluated in the baseline survey using the Japanese version of Primary Care Assessment Tool (JPCAT).

RESULTS

Data were analyzed for 725 participants who had a USC at baseline. Among them, 93 (12.8 %) lost their USC and 46 (6.3%) changed their USC during the follow-up period. Multivariable multinominal logistic regression analyses showed that the JPCAT total score was associated with decreased loss of USC and change in USC. Among the JPCAT domains, longitudinality, comprehensiveness (services available), and community orientation were associated with reductions in both USC loss and change.

CONCLUSIONS

Our study indicates that primary care attributes play an important role in preventing the loss or change of USC and contribute to the stability of USC status. These findings provide additional rationale for policymakers, healthcare providers, and managers to seek to strengthen core attributes of primary care.

Understanding the conditions included in data-driven patterns of multimorbidity: a scoping review

BACKGROUND

Despite the growing utilization of data-driven methods to investigate multimorbidity patterns, there is currently no consensus or guidance on the conditions to include when identifying patterns. This scoping review aims to systematically examine the nature of conditions included in existing studies using data-driven techniques.

METHODS

A comprehensive search of three electronic databases (MEDLINE, Web of Science and Scopus) was conducted to identify relevant publications from inception to 28 February 2022 using predefined search terms and inclusion/exclusion criteria. The reference lists and citations of relevant papers were also searched.

RESULTS

Among 7326 search results, 5444 relevant articles were identified. After screening against the eligibility criteria, 60 articles were included in the review. Half of the reviewed studies reported selection criteria for conditions, with prevalence in the population of interest being the most common criterion (40%). Most studies included at least one neurological [59 (98.3%)], musculoskeletal [58 (96.7%)], respiratory [57 (95.0%)] or mental health [56 (93.3%)] condition. In contrast, only a small proportion of studies included skin [17 (28.3%)], infections [14 (23.3%)] or autoimmune conditions [10 (16.7%)]. Nine conditions (hypertension, diabetes, cancer, arthritis, COPD, asthma, depression, stroke and osteoporosis) were included by more than half of the studies.

CONCLUSIONS

This review highlights the considerable heterogeneity among the conditions included in analyses of multimorbidity patterns. Researchers should provide a clear rationale for the selection of conditions to facilitate comparisons across studies and ensure reproducibility, as well as consider selecting a diverse range of conditions to capture the complexity of multimorbidity.

Impact of a wearable-based physical activity and sleep intervention in multimorbidity patients: protocol for a randomized controlled trial

BACKGROUND

The benefits of physical activity (PA) and adequate sleep are well documented, and their importance strengthens with the increasing prevalence of chronic diseases and multimorbidity (MM). Interventions to promote physical activity and sleep that use commercial activity trackers may be useful non-pharmacological approaches to managing individual health; however, limited evidence exists on their use to improve physical activity in older adult patients with MM.

METHODS

This study aims to measure the effects of behavioral change techniques (BCTs) delivered by a wearable device on physical activity and quality of sleep (QS) in older adult patients with MM. We designed an open-label randomized controlled trial with participants recruited through primary care and a specialist outpatient clinic. Participants must be more than 65 years old, have MM, and have access to smartphones. All eligible participants will receive PA promotion content and will be randomly assigned to wear a smartwatch. The primary outcome will be the participants' PA measurement at baseline and at six months using the International Physical Activity Questionnaire - Short Form (IPAQ-SF). Secondary outcomes will include changes in the participants' frailty status, biometric measurements, quality of life, and biopsychosocial assessments. A sample size of 40 participants per arm was calculated to detect group differences, with 50 participants planned to recruit and randomize into each arm.

DISCUSSION

This study aims to contribute to a better understanding of PA patterns and the impact of wearable-based PA interventions in patients with MM. In addition, we aim to contribute to more knowledge about the relationship between PA patterns, Patient Reported Outcomes Measures (PROMs), and healthcare resource utilization in patients with MM. To achieve this, the study will leverage a locally developed PROMs registry and assess data from participants' medical records, in order to understand the added impact of wearable data and medical information data on predicting PROMs and unplanned hospital admissions.

TRIAL REGISTRATION

NCT05777291.

Factors associated with the status of usual source of care during the COVID-19 pandemic: a nationwide survey in Japan

BACKGROUND

To ensure that high-quality primary care is available to every individual, increasing the proportion of residents with a usual source of care (USC) is a challenge for each country. However, the status of USC after the spread of COVID-19 and the factors associated with it remain unclear internationally. Therefore, we aimed to explore the associations of sociodemographic and clinical factors with the presence and type of USC (kakaritsukei in Japanese) during the pandemic in Japan.

METHODS

We conducted a nationwide cross-sectional survey of a representative sample of the general Japanese adult population in May 2021. The main outcome measures were the presence and type of USC. We assessed sociodemographic and clinical factors, including age, gender, marital status, years of education, employment status, annual household income, social isolation, health literacy, number of chronic conditions, and health-related quality of life.

RESULTS

Of the 1,757 participants, 1,011 (57.5%) had a USC. There were 769 (76.1%) participants who had a USC in a clinic and 227 (22.5%) in a hospital. As a result of multivariable modified Poisson regression analysis, male gender, no chronic condition, lower health literacy, and social isolation were significantly associated with not having a USC. Among participants with a USC, male gender, the presence of one or more chronic conditions, and lower health-related quality of life were associated with having a hospital-based USC.

CONCLUSIONS

We identified factors associated with the status of USC during the COVID-19 pandemic, including health literacy and social isolation. These findings provide primary care providers and policymakers with insight into the potential barriers to having a USC in the aftermath of the pandemic.

The relationship between sleep health and multimorbidity in community dwelling populations: Systematic review and global perspectives

Previous research has identified a relationship between sleep problems and multimorbidity, defined as the co-occurrence of two or more chronic health conditions in the same individual. This systematic review sought to summarize the literature on the association between sleep duration and quality and multimorbidity in adult community-dwelling populations. A comprehensive search of the PubMed, Embase and CINAHL databases identified studies published between January 1990 and January 2023. Studies were included if they focused on community-dwelling populations, used an observational design, measured sleep quality or duration, used multimorbidity as the main study outcome, and explored the relationship between sleep and multimorbidity. Two reviewers independently conducted study screening, data extraction, and bias assessments. Twenty-four cross-sectional and five prospective cohort studies met the inclusion criteria, with studies from 16 countries and two with cross-country comparisons, and a total participant number of 481,862. Overall, poorer sleep quality and sleep duration outside current recommendations were consistently associated with multimorbidity, though with varying strength. This association was present regardless of specific multimorbidity definitions from different studies. Definitions of sleep duration and quality were inconsistent across studies, possibly contributing to mixed evidence on the observed association. Most studies were cross-sectional, limiting the assessment of the temporal direction of association. Our results corroborate relationships between poor sleep and risk of multimorbidity in adult community-dwelling populations around the world. Examining this relationship may help increase public health awareness of sleep as a modifiable risk factor for the prevention of chronic disease and healthy aging.

Effects of home visiting programmes on community-dwelling older adults with chronic multimorbidity: a scoping review

BACKGROUND

Chronic ultimorbidity is the most frequent and serious health problem in older adults. Home visiting programmes could be a strategy with potential benefits. However, there are no scoping reviews to date that examine the effects of home visiting programmes on community-dwelling older adults with chronic multimorbidity.

OBJECTIVE

To examine the effects of home visiting programmes on community-dwelling older adults with chronic multimorbidity.

METHODS

A scoping review was carried out following PRISMA-ScR reporting guidelines. The search was conducted in six databases (PubMed/Medline, Cochrane, CINAHL, Web of Science, Scopus and EMBASE) between October 2021 and April 2022.

RESULTS

Four RCTs with 560 patients were included. The visits were carried out by nurses, nursing students, volunteers, and other healthcare professionals. The interventions varied in the number of visits, frequency, duration of follow-up, and whether or not they were combined with other strategies such as telephone calls. Discrepancies were found in the effects of the interventions on quality of life, self-efficacy, self-rated health, and use and cost of health and social services.

CONCLUSION

This review shows that home visiting programmes could have potential benefits for older adults with chronic multimorbidity. However, its results have been inconclusive. There is a need for high quality studies involving a larger number of patients, in which home visits are the main intervention.

Comorbidity in incident osteoarthritis cases and matched controls using electronic health record data

BACKGROUND

Comorbidities are common in patients with osteoarthritis (OA). This study aimed to determine the association of a wide range of previously diagnosed comorbidities in adults with newly diagnosed OA compared with matched controls without OA.

METHODS

A case-control study was conducted. The data were derived from an electronic health record database that contains the medical records of patients from general practices throughout the Netherlands. Incident OA cases were defined as patients with one or more diagnostic codes recorded in their medical records that correspond to knee, hip, or other/peripheral OA. Additionally, the first OA code had to be recorded between January 1, 2006, and December 31, 2019. The date of cases' first OA diagnosis was defined as the index date. Cases were matched (by age, sex, and general practice) to up to 4 controls without a recorded OA diagnosis. Odds ratios were derived for each 58 comorbidities separately by dividing the comorbidity prevalence of cases by that of their matched controls at the index date.

RESULTS

80,099 incident OA patients were identified of whom 79,937 (99.8%) were successfully matched with 318,206 controls. OA cases had higher odds for 42 of the 58 studied comorbidities compared with matched controls. Musculoskeletal diseases and obesity showed large associations with incident OA.

CONCLUSIONS

Most of the comorbidities under study had higher odds in patients with incident OA at the index date. While previously known associations were confirmed in this study, some associations were not described earlier.

What can death records tell us about multimorbidity?

BACKGROUND

Multimorbidity has been measured from many data sources which show that prevalence increases with age and is usually greater among women than men and in more recent periods. Analyses of multiple cause of death data have shown different patterns of multimorbidity associated with demographic and other characteristics.

METHODS

Deaths in Australia among over 1.7 million decedents aged 55+ were stratified into three types: medically certified deaths, coroner-referred deaths with natural underlying causes and coroner-referred deaths with external underlying causes. Multimorbidity was measured by prevalence of ≥2 causes and analysed over three periods based on administrative changes: 2006-2012, 2013-2016 and 2017-2018. Poisson regression was used to examine the influence of gender, age and period.

RESULTS

The prevalence of deaths with multimorbidity was 81.0% for medically certified deaths, 61.1% for coroner-referred deaths with natural underlying causes and 82.4% for coroner-referred deaths with external underlying causes. For medically certified deaths, multimorbidity increased with age: incidence rate ratio (IRR 1.070, 95% CI 1.068, 1.072) was lower for women than men (0.954, 95% CI 0.952, 0.956) and changed little over time. For coroner-referred deaths with natural underlying causes, multimorbidity showed the expected pattern increasing with age (1.066, 95% CI 1.062, 1.070) and being higher for women than men (1.025, 95% CI 1.015, 1.035) and in more recent periods. For coroner-referred deaths with external underlying causes, there were marked increases over time that differed by age group due to changes in coding processes.

CONCLUSION

Death records can be used to examine multimorbidity in national populations but, like other data sources, how the data were collected and coded impacts the conclusions.

Occurrence of comorbidity following osteoarthritis diagnosis: a cohort study in the Netherlands

OBJECTIVE

To determine the risk of comorbidity following diagnosis of knee or hip osteoarthritis (OA).

DESIGN

A cohort study was conducted using the Integrated Primary Care Information database, containing electronic health records of 2.5 million patients from the Netherlands. Adults at risk for OA were included. Diagnosis of knee or hip OA (=exposure) and 58 long-term comorbidities (=outcome) were defined by diagnostic codes following the International Classification of Primary Care coding system. Time between the start of follow-up and incident diagnosis of OA was defined as unexposed, and between diagnosis of OA and the end of follow-up as exposed. Age and sex adjusted hazard ratios (HRs) comparing comorbidity rates in exposed and unexposed patient time were estimated with 99.9% confidence intervals (CI).

RESULTS

The study population consisted of 1,890,712 patients. For 30 of the 58 studied comorbidities, exposure to knee OA showed a HR larger than 1. Largest positive associations (HR with (99.9% CIs)) were found for obesity 2.55 (2.29-2.84) and fibromyalgia 2.06 (1.53-2.77). For two conditions a HR < 1 was found, other comorbidities showed no association with exposure to knee OA. For 26 comorbidities, exposure to hip OA showed a HR larger than 1. The largest were found for polymyalgia rheumatica 1.81 (1.41-2.32) and fibromyalgia 1.70 (1.10-2.63). All other comorbidities showed no associations with hip OA.

CONCLUSION

This study showed that many comorbidities were diagnosed more often in patients with knee or hip OA. This suggests that the management of OA should consider the risk of other long-term-conditions.

Impact of Perceived Safety and Barriers on Physical Activity Levels in Community-Dwelling Older Adults During the COVID-19 Pandemic in Singapore: A Cross-Sectional Mixed Methods Study

This descriptive cross-sectional mixed methods study conducted in Singapore aimed to describe community-dwelling older adults' differences in physical activity (PA) based on perceived safety to exercise, barriers to PA, and preferred modes of PA during a pandemic. Out of 268 older adults, 25.4% felt unsafe to exercise during the pandemic. More participants who felt unsafe were aged 75 years and older (72.1% vs. 57.0%, p = .028) and lacked formal education (54.4% vs. 37.0%, p = .040). Barriers included difficulties exercising with masks, family concerns, and exercise center closures. Those who felt unsafe were significantly more likely to exercise at home and had significantly shorter duration of exercise and walks per week (2.72 vs. 4.50 hr, p = .002). Perceived barriers and exercise preferences should be considered when developing programs to improve older adults' PA during pandemics.

Web-Based Asynchronous Tool to Facilitate Communication Between Primary Care Providers and Cancer Specialists: Pragmatic Randomized Controlled Trial

BACKGROUND

Cancer poses a significant global health burden. With advances in screening and treatment, there are now a growing number of cancer survivors with complex needs, requiring the involvement of multiple health care providers. Previous studies have identified problems related to communication and care coordination between primary care providers (PCPs) and cancer specialists.

OBJECTIVE

This study aimed to examine whether a web- and text-based asynchronous system (eOncoNote) could facilitate communication between PCPs and cancer specialists (oncologists and oncology nurses) to improve patient-reported continuity of care among patients receiving treatment or posttreatment survivorship care.

METHODS

In this pragmatic randomized controlled trial, a total of 173 patients were randomly assigned to either the intervention group (eOncoNote plus usual methods of communication between PCPs and cancer specialists) or a control group (usual communication only), including 104 (60.1%) patients in the survivorship phase (breast and colorectal cancer) and 69 (39.9%) patients in the treatment phase (breast and prostate cancer). The primary outcome was patient-reported team and cross-boundary continuity (Nijmegen Continuity Questionnaire). Secondary outcome measures included the Generalized Anxiety Disorder Screener (GAD-7), Patient Health Questionnaire on Major Depression, and Picker Patient Experience Questionnaire. Patients completed the questionnaires at baseline and at 2 points following randomization. Patients in the treatment phase completed follow-up questionnaires at 1 month and at either 4 months (patients with prostate cancer) or 6 months following randomization (patients with breast cancer). Patients in the survivorship phase completed follow-up questionnaires at 6 months and at 12 months following randomization.

RESULTS

The results did not show an intervention effect on the primary outcome of team and cross-boundary continuity of care or on the secondary outcomes of depression and patient experience with their health care. However, there was an intervention effect on anxiety. In the treatment phase, there was a statistically significant difference in the change score from baseline to the 1-month follow-up for GAD-7 (mean difference -2.3; P=.03). In the survivorship phase, there was a statistically significant difference in the change score for GAD-7 between baseline and the 6-month follow-up (mean difference -1.7; P=.03) and between baseline and the 12-month follow-up (mean difference -2.4; P=.004).

CONCLUSIONS

PCPs' and cancer specialists' access to eOncoNote is not significantly associated with patient-reported continuity of care. However, PCPs' and cancer specialists' access to the eOncoNote intervention may be a factor in reducing patient anxiety.

TRIAL REGISTRATION

ClinicalTrials.gov NCT03333785; https://clinicaltrials.gov/ct2/show/NCT03333785.

Impact of Primary Care Attributes on Hospitalization During the COVID-19 Pandemic: A Nationwide Prospective Cohort Study in Japan

PURPOSE

During a pandemic, when there are many barriers to providing preventive care, chronic disease management, and early response to acute common diseases for primary care providers, it is unclear whether primary care attributes contribute to reducing hospitalization. We aimed to examine the association between core primary care attributes and total hospitalizations during the COVID-19 pandemic.

METHODS

We conducted a nationwide prospective cohort study during the pandemic using a representative sample of the Japanese adult population aged 40 to 75 years. Primary care attributes (first contact, longitudinality, coordination, comprehensiveness, and community orientation) were assessed using the Japanese version of Primary Care Assessment Tool (JPCAT). The primary outcome measure was any incidence of hospitalization during a 12-month period from May 2021 through April 2022.

RESULTS

Data from 1,161 participants were analyzed (92% follow-up rate). After adjustment for possible confounders, overall primary care attributes (assessed by the JPCAT total score) were associated in a dose-dependent manner with a decrease in hospitalizations (odds ratio [OR] = 0.37, 95% CI, 0.16-0.83 for the highest score quartile, compared with no usual source of care). All associations between each domain score of the JPCAT and hospitalization were statistically significant when comparing the highest quartile with no usual source of care.

CONCLUSIONS

Our study revealed that the provision of primary care, particularly high-quality primary care, was associated with decreased total hospitalization, even during a pandemic when there are many barriers to providing usual medical care. These findings support policies that seek to strengthen primary care systems during and after the COVID-19 pandemic.

Defining and measuring multimorbidity in primary care in Singapore: Results of an online Delphi study

Multimorbidity, common in the primary care setting, has diverse implications for both the patient and the healthcare system. However, there is no consensus on the definition of multimorbidity globally. Thus, we aimed to conduct a Delphi study to gain consensus on the definition of multimorbidity, the list and number of chronic conditions used for defining multimorbidity in the Singapore primary care setting. Our Delphi study comprised three rounds of online voting from purposively sampled family physicians in public and private settings. Delphi round 1 included open-ended questions for idea generation. The subsequent two rounds used questions with pre-selected options. Consensus was achieved based on a pre-defined criteria following an iterative process. The response rates for the three rounds were 61.7% (37/60), 86.5% (32/37) and 93.8% (30/32), respectively. Among 40 panellists who responded, 46.0% were 31-40 years old, 64.9% were male and 73.0% were from the public primary healthcare setting. Based on the findings of rounds 1, 2 and 3, consensus on the definition of a chronic condition, multimorbidity and finalised list of chronic conditions were achieved. For a condition to be chronic, it should last for six months or more, be recurrent or persistent, impact patients across multiple domains and require long-term management. The consensus-derived definition of multimorbidity is the presence of three or more chronic conditions from a finalised list of 23 chronic conditions. We anticipate that our findings will inform multimorbidity conceptualisation at the national level, standardise multimorbidity measurement in primary care and facilitate resource allocation for patients with multimorbidity.

Prevalence of multimorbidity combinations and their association with medical costs and poor health: A population-based study of U.S. adults

Background

Multimorbidity is common, but the prevalence and burden of the specific combinations of coexisting disease has not been systematically examined in the general U.S. adult population.

Objective

To identify and estimate the burden of highly prevalent combinations of chronic conditions that are treated among one million or more adults in the United States.

Methods

Cross-sectional analysis of U.S. households in the Medical Expenditure Panel Survey (MEPS), 2016-2019, a large nationally-representative sample of the community-dwelling population. Association rule mining was used to identify the most common combinations of 20 chronic conditions that have high relevance, impact, and prevalence in primary care. The main measures and outcomes were annual treated prevalence, total medical expenditures, and perceived poor health. Logistic regression models with poor health as the outcome and each multimorbidity combination as the exposure were used to calculate adjusted odds ratios and 95% confidence intervals.

Results

Frequent pattern mining yielded 223 unique combinations of chronic disease, including 74 two-way (dyad), 115 three-way (triad), and 34 four-way combinations that are treated in one million or more U.S. adults. Hypertension-hyperlipidemia was the most common two-way combination occurring in 30.8 million adults. The combination of diabetes-arthritis-cardiovascular disease was associated with the highest median annual medical expenditures ($23,850, interquartile range: $11,593-$44,616), and the combination of diabetes-arthritis-asthma/COPD had the highest age-race-sex adjusted odds ratio of poor self-rated health (adjusted odd ratio: 6.9, 95%CI: 5.4-8.8).

Conclusion

This study demonstrates that many multimorbidity combinations are highly prevalent among U.S. adults, yet most research and practice-guidelines remain single disease focused. Highly prevalent and burdensome multimorbidity combinations could be prioritized for evidence-based research on optimal prevention and treatment strategies.

Describing a complex primary health care population to support future decision support initiatives

Introduction

Developing decision support tools using data from a health care organization, to support care within that organization, is a promising paradigm to improve care delivery and population health. Descriptive epidemiology may be a valuable supplement to stakeholder input towards selection of potential initiatives and to inform methodological decisions throughout tool development. We additionally propose that to properly characterize complex populations in large-scale descriptive studies, both simple statistical and machine learning techniques can be useful.

Objective

To describe sociodemographic, clinical, and health care use characteristics of primary care clients served by the Alliance for Healthier Communities, which provides team-based primary health care through Community Health Centres (CHCs) across Ontario, Canada.

Methods

We used electronic health record data from adult ongoing primary care clients served by CHCs in 2009-2019. We performed traditional table-based summaries for each characteristic; and applied three unsupervised learning techniques to explore patterns of common condition co-occurrence, care provider teams, and care frequency.

Results

There were 221,047 eligible clients. Sociodemographics: We described 13 characteristics, stratified by CHC type and client multimorbidity status. Clinical characteristics: Eleven-year prevalence of 24 investigated conditions ranged from 1% (Hepatitis C) to 63% (chronic musculoskeletal problem) with non-uniform risk across the care history; multimorbidity was common (81%) with variable co-occurrence patterns. Health care use characteristics: Most care was provided by physician and nursing providers, with heterogeneous combinations of other provider types. A subset of clients had many issues addressed within single-visits and there was within- and between-client variability in care frequency. In addition to substantive findings, we discuss methodological considerations for future decision support initiatives.

Conclusions

We demonstrated the use of methods from statistics and machine learning, applied with an epidemiological lens, to provide an overview of a complex primary care population and lay a foundation for stakeholder engagement and decision support tool development.

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

INTRODUCTION

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

METHODS

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

RESULTS

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

CONCLUSION

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

Multimorbidity

Multimorbidity (two or more coexisting conditions in an individual) is a growing global challenge with substantial effects on individuals, carers and society. Multimorbidity occurs a decade earlier in socioeconomically deprived communities and is associated with premature death, poorer function and quality of life and increased health-care utilization. Mechanisms underlying the development of multimorbidity are complex, interrelated and multilevel, but are related to ageing and underlying biological mechanisms and broader determinants of health such as socioeconomic deprivation. Little is known about prevention of multimorbidity, but focusing on psychosocial and behavioural factors, particularly population level interventions and structural changes, is likely to be beneficial. Most clinical practice guidelines and health-care training and delivery focus on single diseases, leading to care that is sometimes inadequate and potentially harmful. Multimorbidity requires person-centred care, prioritizing what matters most to the individual and the individual's carers, ensuring care that is effectively coordinated and minimally disruptive, and aligns with the patient's values. Interventions are likely to be complex and multifaceted. Although an increasing number of studies have examined multimorbidity interventions, there is still limited evidence to support any approach. Greater investment in multimorbidity research and training along with reconfiguration of health care supporting the management of multimorbidity is urgently needed.

QALY losses for chronic diseases and its social distribution in the general population: results from the Belgian Health Interview Survey

Background

The burden of chronic diseases is rapidly rising, both in terms of morbidity and mortality. This burden is disproportionally carried by socially disadvantaged population subgroups. Quality-adjusted life years (QALYs) measure the impact of disease on mortality and morbidity into a single index. This study aims to estimate the burden of chronic diseases in terms of QALY losses and to model its social distribution for the general population.

Methods

The Belgian Health Interview Survey 2013 and 2018 provided data on self-reported chronic conditions for a nationally representative sample. The annual QALY loss per 100,000 individuals was calculated for each condition, incorporating disease prevalence and health-related quality of life (HRQoL) data (EQ-5D-5L). Socioeconomic inequalities, based on respondents’ socioeconomic status (SES), were assessed by estimating population attributable fractions (PAF).

Results

For both years, the largest QALY losses were observed in dorsopathies, arthropathies, hypertension/high cholesterol, and genitourinary problems. QALY losses were larger in women and in older individuals. Individuals with high SES had consistently lower QALY loss when facing a chronic disease compared to those with low SES. In both years, a higher PAF was found in individuals with hip fracture and stroke. In 2013, the health inequality gap amounts to 33,731 QALYs and further expanded to 42,273 QALYs in 2018.

Conclusion

Given that chronic diseases will rise in the next decades, addressing its burden is necessary, particularly among the most vulnerable (i.e. older persons, women, low SES). Interventions in these target groups should get priority in order to reduce the burden of chronic diseases.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-022-13675-y.

Patient experience of residents with restricted primary care access during the COVID-19 pandemic

OBJECTIVES

To evaluate primary care access for COVID-19 consultation among residents who have a usual source of care (USC) and to examine their associations with patient experience during the pandemic in Japan.

DESIGN

Nationwide cross-sectional study.

SETTING

Japanese general adult population.

PARTICIPANTS

1004 adult residents who have a USC.

MAIN OUTCOME MEASURES

Patient experience assessed by the Japanese version of Primary Care Assessment Tool Short Form (JPCAT-SF).

RESULTS

A total of 198 (19.7%) reported restricted primary care access for COVID-19 consultation despite having a USC. After adjustment for possible confounders, restricted primary care access for COVID-19 consultation was negatively associated with the JPCAT-SF total score (adjusted mean difference = -8.61, 95% CI -11.11 to -6.10). In addition, restricted primary care access was significantly associated with a decrease in all JPCAT-SF domain scores.

CONCLUSIONS

Approximately one-fifth of adult residents who had a USC reported restricted primary care access for COVID-19 consultation during the pandemic in Japan. Our study also found that restricted primary care access for COVID-19 consultation was negatively associated with a wide range of patient experience including first contact. Material, financial and educational support to primary care facilities, the spread of telemedicine and the application of a patient registration system might be necessary to improve access to primary care during a pandemic.

Needs of patients with parkinsonism and their caregivers: a protocol for the PRIME-UK cross-sectional study

INTRODUCTION

People with parkinsonism are a highly heterogeneous group and the disease encompasses a spectrum of motor and non-motor symptoms which variably emerge and manifest across the disease course, fluctuate over time and negatively impact quality of life. While parkinsonism is not directly the result of ageing, it is a condition that mostly affects older people, who may also be living with frailty and multimorbidity. This study aims to describe the broad range of health needs for people with parkinsonism and their carers in relation to their symptomatology, disability, disease stage, comorbidities and sociodemographic characteristics.

METHODS AND ANALYSIS

In this single site cross-sectional study, people with parkinsonism will be sent a study information pack for themselves and their primary informal caregiver, if relevant. Data are collected via questionnaire, with additional support, if required, to maximise participation. A specific strategy has been developed to target and proactively recruit patients lacking capacity to consent, including those in residential care settings, with input from a personal consultee prior to completion of a bespoke questionnaire by a representative. Caregivers are also recruited to look at various health outcomes. Results will be displayed as descriptive statistics and regression models will be used to test simple associations and interactions.

ETHICS AND DISSEMINATION

This protocol was approved by the London-Brighton & Sussex Research Ethics Committee (REC reference 20/LO/0890). The results of this protocol will be disseminated through publication in an international peer-reviewed journal; presentation at academic meetings and conferences; and a lay summary uploaded to the PRIME-Parkinson website.

TRIAL REGISTRATION NUMBER

ISRCTN11452969; Pre-results.

Magnitude, pattern and correlates of multimorbidity among patients attending chronic outpatient medical care in Bahir Dar, northwest Ethiopia: The application of latent class analysis model

Objective

This study aimed to investigate the magnitude, pattern and associated factors of multimorbidity in Bahir Dar, northwest Ethiopia.

Methods

A multi-centered facility-based study was conducted among 1440 participants aged 40+ years attending chronic outpatient medical care. Two complementary methods (interview and review of medical records) were employed to collect data on socio-demographic, behavioral and disease related characteristics. The data were analyzed by STATA V.16 and R Software V.4.1.0. We fitted logistic regression and latent class analyses (LCA) models to identify the factors associated with multimorbidity and determine patterns of disease clustering, respectively. Statistical significance was considered at P-value <0.05.

Results

The magnitude of individual chronic conditions ranged from 1.4% (cancer) to 37.9% (hypertension), and multimorbidity was identified in 54.8% (95% CI = 52.2%-57.4%) of the sample. The likelihood of having multimorbidity was higher among participants aged 45–54 years (AOR: 1.6, 95%CI = 1.1, 2.2), 55–64 years (AOR: 2.6, 95%CI = 1.9, 3.6) and 65+ years (AOR: 2.6, 95%CI = 1.9, 3.6) compared to those aged 40–44 years. The odds of multimorbidity was also higher among individuals classified as overweight (AOR: 1.6, 95%CI = 1.2, 2.1) or obese (AOR: 1.9, 95%CI = 1.3, 3.0) than the normal weight category. Four patterns of multimorbidity were identified; the cardiovascular category being the largest class (50.2%) followed by the cardio-mental, (32.6%), metabolic (11.5%) and respiratory (5.7%) groups. Advanced age, being overweight and obesity predicted latent class membership, adjusting for relevant confounding factors.

Conclusions

The magnitude of multimorbidity in this study was high, and the most prevalent conditions shaped the patterns of multimorbidity. Advanced age, being overweight and obesity were the factors correlated with multimorbidity. Further research is required to better understand the burden of multimorbidity and related factors in the population, and to determine the impact of multimorbidity on individuals’ well-being and functioning.

The Ecology of Medical Care During the COVID-19 Pandemic in Japan: a Nationwide Survey

BACKGROUND

The coronavirus disease 2019 (COVID-19) pandemic has had a profound impact on health care utilization. However, the overall picture of shifts in health care utilization remains unclear.

OBJECTIVE

We assessed the ecology of medical care during the COVID-19 pandemic in Japan and compared it with the results pre-pandemic. We also investigated the associations of sociodemographic and clinical factors with health care utilization during the COVID-19 pandemic.

DESIGN AND METHODS

We conducted a nationwide cross-sectional survey of a representative sample of the general Japanese adult population in May 2021. The main outcomes were health care utilization for health-related events in the last month. We assessed sociodemographic and clinical factors, including age, sex, years of education, annual household income, social isolation, and the number of chronic conditions.

KEY RESULTS

Data were analyzed from 1747 respondents. Over-the-counter drug use, physician's office visits, and hospital outpatient clinic visits decreased drastically during the COVID-19 pandemic compared with pre-pandemic levels. The decrease in the use of medical facilities was especially pronounced among the elderly. Sociodemographic and clinical factors were differently associated with health care utilization during the COVID-19 pandemic. Social isolation and years of education were positively associated with over-the-counter drug use, while female sex was associated with increased over-the-counter drug use and physician's office visits. In addition, the number of chronic conditions was associated with increased hospital visits.

CONCLUSIONS

During the COVID-19 pandemic, the use of medical facilities for health-related events decreased drastically, especially among the elderly. A pharmacy is an important source of health care in a population with social isolation. These findings may be useful to researchers and policymakers in rethinking health care systems during and after the pandemic.

Usual source of primary care and preventive care measures in the COVID-19 pandemic: a nationwide cross-sectional study in Japan

OBJECTIVES

To assess multiple preventive care measures and to examine their associations with having a usual source of primary care and primary care performance during the COVID-19 pandemic in Japan.

DESIGN

Nationwide cross-sectional study.

SETTING

Japanese general adult population.

PARTICIPANTS

1757 adult residents.

PRIMARY OUTCOME MEASURES

Fourteen preventive care measures aggregated the overall screening, immunisation and counselling composites.

RESULTS

Depression screening, zoster vaccination and tetanus vaccination had low implementation rates even among participants with a usual source of primary care. After adjustment for possible confounders, having a usual source of primary care was positively associated with all preventive care composites. Primary care performance assessed by the Japanese version of Primary Care Assessment Tool Short Form was also dose dependently associated with an increase in all composites. Results of the sensitivity analyses using a different calculation of preventive care composite were similar to those of the primary analyses.

CONCLUSIONS

Receipt of primary care, particularly high-quality primary care, contributed to increased preventive care utilisation even during the COVID-19 pandemic. However, the rate of mental health screening in primary care was at a very low level. Therefore, addressing mental health issues should be a major challenge for primary care providers during and after the pandemic.

Gender differences in the association of obesity-related measures with multi-morbidity among older adults in India: evidence from LASI, Wave-1

Background

Co-existence of multiple chronic diseases is increasingly becoming a norm among ageing population. The study aims to investigate the prevalence of multimorbidity and the association between anthropometric measures of obesity and multimorbidity among men and women aged 60 years and above in India.

Methods

The present study is based on the first wave of the Longitudinal Aging Study in India. The analytical sample size for the study was 28,050 older adults aged 60 years and above. Descriptive statistics and multivariable analysis using logistic regression models were conducted.

Results

Body Mass Index (BMI) based-obesity is more prevalent among older women than men (26.3% vs. 17.6%). Similarly, higher proportion of older women was at high-risk waist circumference (37.1% vs 8.9%) and waist-hip ratio (78.5 vs 75.4%) than men respectively. In Model-I, after controlling for several covariates, older adults with overweight/obesity were 1.6 times more likely to have multi-morbidity than non-obese older adults (Adjusted OR = 1.61; 95% CI: 1.48–1.74). Similarly, older adults with high-risk waist circumference [Adjusted OR: 1.66; 95% CI: 1.52–1.80] and waist-hip ratio [Adjusted OR: 1.45; 95% CI: 1.33–1.59] also had higher odds of having multi-morbidity in reference to their counterparts. In model-3 it was found that females with high-risk waist-hip ratio had 14% lower odds of multimorbidity than males with high-risk waist-hip ratio [Adjusted OR: 0.86; 95%CI: 0.78–0.94].

Conclusion

The findings of the study show significant gender difference in the prevalence of multimorbidity, men being at increased risk in the multivariate analysis which is uncommon in the existing epidemiological research. Interactive effect of male gender with anthropometric measures on multimorbidity reported in our study probably due to increased unhealthy behaviours among men requires further research.

Self-reported health and the well-being paradox among community-dwelling older adults: a cross-sectional study using baseline data from the Canadian Longitudinal Study on Aging (CLSA)

Background

Self-reported health is a widely used epidemiologic measure, however, the factors that predict self-reported health among community-dwelling older adults (≥65 years), especially those with multimorbidity (≥2 chronic conditions), are poorly understood. Further, it is not known why some older adults self-report their health positively despite the presence of high levels of multimorbidity, a phenomenon known as the well-being paradox. The objectives of this study were to: 1) examine the factors that moderate or mediate the relationship between multimorbidity and self-reported health; 2) identify the factors that predict high self-reported health; and 3) determine whether these same factors predict high self-reported health among those with high levels of multimorbidity to better understand the well-being paradox.

Methods

A cross-sectional analysis of baseline data from the Canadian Longitudinal Study on Aging was completed (n = 21,503). Bivariate stratified analyses were used to explore whether each factor moderated or mediated the relationship between multimorbidity and self-reported health. Logistic regression was used to determine the factors that predict high self-reported health in the general population of community-dwelling older adults and those displaying the well-being paradox.

Results

None of the factors explored in this study moderated or mediated the relationship between multimorbidity and self-reported health, yet all were independently associated with self-reported health. The ‘top five’ factors predicting high self-reported health in the general older adult population were: lower level of multimorbidity (odds ratio [OR] 0.75, 95% confidence interval [CI] 0.74-0.76), female sex (OR 0.62, CI 0.57-0.68), higher Life Space Index score (OR 1.01, CI 1.01-1.01), higher functional resilience (OR 1.16, CI 1.14-1.19), and higher psychological resilience (OR 1.26, CI 1.23-1.29). These same ‘top five’ factors predicted high self-reported health among the subset of this population with the well-being paradox.

Conclusions

The factors that predict high self-reported health in the general population of older adults are the same for the subset of this population with the well-being paradox. A number of these factors are potentially modifiable and can be the target of future interventions to improve the self-reported health of this population.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12877-022-02807-z.

The Aging, Community and Health Research Unit Community Partnership Program (ACHRU-CPP) for older adults with diabetes and multiple chronic conditions: study protocol for a randomized controlled trial

BACKGROUND

Older adults (≥65 years) with diabetes and multiple chronic conditions (MCC) (> 2 chronic conditions) experience reduced function and quality of life, increased health service use, and high mortality. Many community-based self-management interventions have been developed for this group, however the evidence for their effectiveness is limited. This paper presents the protocol for a randomized controlled trial (RCT) comparing the effectiveness and implementation of the Aging, Community and Health Research Unit-Community Partnership Program (ACHRU-CPP) to usual care in older adults with diabetes and MCC and their caregivers.

METHODS

We will conduct a cross-jurisdictional, multi-site implementation-effectiveness type II hybrid RCT. Eligibility criteria are: ≥65 years, diabetes diagnosis (Type 1 or 2) and at least one other chronic condition, and enrolled in a primary care or diabetes education program. Participants will be randomly assigned to the intervention (ACHRU-CPP) or control arm (1:1 ratio). The intervention arm consists of home/telephone visits, monthly group wellness sessions, multidisciplinary case conferences, and system navigation support. It will be delivered by registered nurses and registered dietitians/nutritionists from participating primary care or diabetes education programs and program coordinators from community-based organizations. The control arm consists of usual care provided by the primary care setting or diabetes education program. The primary outcome is the change from baseline to 6 months in mental functioning. Secondary outcomes will include, for example, the change from baseline to 6 months in physical functioning, diabetes self-management, depressive symptoms, and cost of use of healthcare services. Analysis of covariance (ANCOVA) models will be used to analyze all outcomes, with intention-to-treat analysis using multiple imputation to address missing data. Descriptive and qualitative data from older adults, caregivers and intervention teams will be used to examine intervention implementation, site-specific adaptations, and scalability potential.

DISCUSSION

An interprofessional intervention supporting self-management may be effective in improving health outcomes and client/caregiver experience and reducing service use and costs in this complex population. This pragmatic trial includes a scalability assessment which considers a range of effectiveness and implementation criteria to inform the future scale-up of the ACHRU-CPP.

TRIAL REGISTRATION

Clinical Trials.gov Identifier NCT03664583 . Registration date: September 10, 2018.

Comparing the Attainment of the Patient's Medical Home Model across Regions in Three Canadian Provinces: A Cross-Sectional Study

Background:

The aim of this work was to show the feasibility of providing a comprehensive portrait of regional primary care performance.

Methods:

The TRANSFORMATION study used a mixed-methods concurrent study design where we analyzed survey data and case studies. Data were collected in British Columbia, Ontario and Nova Scotia. Patient's Medical Home (PMH) pillar scores were created by calculating mean clinic-level scores across regions. Scores and qualitative themes were compared.

Results:

Participation included 86 practices (n = 1,929 patients; n = 117 clinicians). Regions had differential attainment towards PMH orientation with respect to infrastructure; community adaptiveness and accountability; and patient and family partnered care. The lowest PMH attainment for all regions were observed in connected care; accessible care; measurement, continuous quality improvement and research; and training, education and continuing professional development.

Conclusions:

Comprehensive performance reporting that draws on multiple data sources in primary care is possible. Regional portraits highlighting many of the key pillars of a PMH approach to primary care show that despite differences in policy contexts, achieving a PMH remains elusive.

One year follow-up and exploratory analysis of a patient-centered interdisciplinary care intervention for multimorbidity

Context

Interventions for people with multimorbidity have obtained mixed results. We aimed to document the long-term effect of an intervention for people with multimorbidity.

Methods

284 patients (18-80 years) presenting three or more chronic conditions were recruited from seven family medicine groups in the Saguenay-Lac St-Jean region, Quebec, Canada. The patient-centered intervention was based on motivational approach and self-management support. Outcomes were evaluated in a one-year pre-post study design with questionnaires that included the Health Education Questionnaire (heiQ), the Self-Efficacy for Managing Chronic Diseases, the Veteran RAND-12 Health Survey (VR-12), the EuroQoL 5-Domains questionnaire, the Kessler six item Psychological Stress Scale, and measures of smoking habit, physical activity, healthy eating and alcohol consumption. Subgroup analyses by age, number of conditions, sex, and income were also conducted.

Results

The heiQ domain of emotional wellbeing improved significantly. Improvement was also observed for the VR-12 and the K6. Among the health behaviours, only healthy eating was improved. Subgroup analyses in this exploratory study suggest that younger patients, those with lower number of chronic conditions or higher incomes may respond better in relation to self-management, health status and health behaviours.

Conclusion

One year after the intervention, participants significantly improved a variety of outcomes. Subgroup analyses suggest that younger patients, those with lower number of chronic conditions or higher incomes may respond better in relation to self-management, health status and health behaviours. This suggests that future interventions should be tailored to patients' characteristics including age, sex, income and number of conditions.

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

INTRODUCTION

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

METHODS

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

RESULTS

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

CONCLUSION

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

Trends in prevalence of chronic disease and multimorbidity in Ontario, Canada

BACKGROUND

New case-mix tools from the Canadian Institute for Health Information offer a novel way of exploring the prevalence of chronic disease and multimorbidity using diagnostic data. We took a comprehensive approach to determine whether the prevalence of chronic disease and multimorbidity has been rising in Ontario, Canada.

METHODS

In this observational study, we applied case-mix methodology to a population-based cohort. We used 10 years of patient-level data (fiscal years 2008/09 to 2017/18) from multiple care settings to compute the rolling 5-year prevalence of 85 chronic diseases and multimorbidity (i.e., the co-occurrence of 2 or more diagnoses). Diseases were further classified based on type and severity. We report both crude and age- and sex-standardized trends.

RESULTS

The number of patients with chronic disease increased by 11.0% over the 10-year study period to 9.8 million in 2017/18, and the number with multimorbidity increased 12.2% to 6.5 million. Overall increases from 2008/09 to 2017/18 in the crude prevalence of chronic conditions and multimorbidity were driven by population aging. After adjustments for age and sex, the prevalence of patients with ≥ 1 chronic conditions decreased from 70.2% to 69.1%, and the prevalence of multimorbidity decreased from 47.1% to 45.6%. This downward trend was concentrated in minor and moderate diseases, whereas the prevalence of many major chronic diseases rose, along with instances of extreme multimorbidity (≥ 8 conditions). Age- and sex-standardized resource intensity weights, which reflect relative expected costs associated with patient diagnostic profiles, increased 4.6%.

INTERPRETATION

Evidence of an upward trend in the prevalence of chronic disease was mixed. However, the change in case mix toward more serious conditions, along with increasing patient resource intensity weights overall, may portend a future need for population health management and increased health system spending above that predicted by population aging.

The impact of multimorbidity patterns on health-related quality of life in the general population: results of the Belgian Health Interview Survey

BACKGROUND

Chronic diseases and multimorbidity are a major cause of disease burden-for patients, caregivers, and society. Little is known however about potential interaction effects between specific disease combinations. Besides an additive effect, the presence of multiple conditions could also act synergistically or antagonistically regarding the impact on patients' health-related quality of life (HRQoL). The aim was to estimate the impact of coexisting chronic diseases on HRQoL of the adult general Belgian population.

METHODS

The Belgian Health Interview Survey 2018 provided data on self-reported chronic conditions and HRQoL (EQ-5D-5L) for a nationally representative sample. Linear mixed models were used to analyze two-way and three-way interactions of disease combinations on HRQoL.

RESULTS

Multimorbidity had a prevalence of 46.7% (≥ 2 conditions) and 29.7% (≥ 3 conditions). HRQoL decreased considerably with the presence of multiple chronic diseases. 14 out of 41 dyad combinations and 5 out of 13 triad combinations showed significant interactions, with a dominant presence of negative/synergistic effects. Positive/antagonistic effects were found in more subjective chronic diseases such as depression and chronic fatigue. Conditions appearing the most frequently in significant disease pair interactions were dorsopathies, respiratory diseases, and arthropathies.

CONCLUSIONS

Diverse multimorbidity patterns, both dyads and triads, were synergistically or antagonistically associated with lower HRQoL. Tackling the burden of multimorbidity is needed, especially because most disease combinations affect each other synergistically, resulting in a greater reduction in HRQoL. Further knowledge about those multimorbidity patterns with a greater impact on HRQoL is needed to better understand disease burden beyond mortality and morbidity data.

Measuring Multimorbidity: Selecting the Right Instrument for the Purpose and the Data Source

BACKGROUND

Adults have a higher prevalence of multimorbidity-or having multiple chronic health conditions-than having a single condition in isolation. Researchers, health care providers, and health policymakers find it challenging to decide upon the most appropriate assessment tool from the many available multimorbidity measures.

OBJECTIVE

The objective of this study was to describe a broad range of instruments and data sources available to assess multimorbidity and offer guidance about selecting appropriate measures.

DESIGN

Instruments were reviewed and guidance developed during a special expert workshop sponsored by the National Institutes of Health on September 25-26, 2018.

RESULTS

Workshop participants identified 4 common purposes for multimorbidity measurement as well as the advantages and disadvantages of 5 major data sources: medical records/clinical assessments, administrative claims, public health surveys, patient reports, and electronic health records. Participants surveyed 15 instruments and 2 public health data systems and described characteristics of the measures, validity, and other features that inform tool selection. Guidance on instrument selection includes recommendations to match the purpose of multimorbidity measurement to the measurement approach and instrument, review available data sources, and consider contextual and other related constructs to enhance the overall measurement of multimorbidity.

CONCLUSIONS

The accuracy of multimorbidity measurement can be enhanced with appropriate measurement selection, combining data sources and special considerations for fully capturing multimorbidity burden in underrepresented racial/ethnic populations, children, individuals with multiple Adverse Childhood Events and older adults experiencing functional limitations, and other geriatric syndromes. The increased availability of comprehensive electronic health record systems offers new opportunities not available through other data sources.

The prevalence of multimorbidity in primary care: a comparison of two definitions of multimorbidity with two different lists of chronic conditions in Singapore

Background

The prevalence of multimorbidity varies widely due to the lack of consensus in defining multimorbidity. This study aimed to measure the prevalence of multimorbidity in a primary care setting using two definitions of multimorbidity with two different lists of chronic conditions.

Methods

We conducted a cross-sectional study of 787,446 patients, aged 0 to 99 years, who consulted a family physician between July 2015 to June 2016. Multimorbidity was defined as ‘two or more’ (MM2+) or ‘three or more’ (MM3+) chronic conditions using the Fortin list and Chronic Disease Management Program (CDMP) list of chronic conditions. Crude and standardised prevalence rates were reported, and the corresponding age, sex or ethnic-stratified standardised prevalence rates were adjusted to the local population census.

Results

The number of patients with multimorbidity increased with age. Age-sex-ethnicity standardised prevalence rates of multimorbidity using MM2+ and MM3+ for Fortin list (25.9, 17.2%) were higher than those for CDMP list (22.0%; 12.4%). Sex-stratified, age-ethnicity standardised prevalence rates for MM2+ and MM3+ were consistently higher in males compared to females for both lists. Chinese and Indians have the highest standardised prevalence rates among the four ethnicities using MM2+ and MM3+ respectively.

Conclusions

MM3+ was better at identifying a smaller number of patients with multimorbidity requiring higher needs compared to MM2+. Using the Fortin list seemed more appropriate than the CDMP list because the chronic conditions in Fortin’s list were more commonly seen in primary care. A consistent definition of multimorbidity will help researchers and clinicians to understand the epidemiology of multimorbidity better.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-021-11464-7.

Prevalence of multimorbidity and its impact on survival in people with motor neuron disease

BACKGROUND AND PURPOSE

This study was undertaken to determine the prevalence of multimorbidity in people with motor neuron disease (MND) and to identify whether specific patterns of multimorbidity impact survival beyond age alone.

METHODS

We performed a retrospective analysis of the Scottish national MND register from 1 January 2015 to 29 October 2019. People with amyotrophic lateral sclerosis, primary lateral sclerosis, progressive muscular atrophy, or progressive bulbar palsy were included. We fitted latent class regression models incorporating comorbidities (class indicators), age, sex, and bulbar onset (covariates), and survival (distal outcome) with multimorbidity as a hypothesised latent variable. We also investigated the association between the Charlson Comorbidity Index and survival in Cox regression and compared its discrimination and calibration to age alone.

RESULTS

A total of 937 people with MND were identified (median age = 67 years, 60.2% male); 64.8% (n = 515) had two or more comorbidities. We identified a subpopulation with high prevalence of cardiovascular disease, but when accounting for the relationship between age and individual comorbidities, there was no difference in survival. Both Charlson Comorbidity Index (hazard ratio [HR] per unit increase = 1.11, 95% confidence interval [CI] = 1.07-1.15, p < 0.0001) and age (HR per year increase = 1.04, 95% CI = 1.03-1.05, p < 0.0001) were significantly associated with survival, but discrimination was higher for age compared to Charlson Comorbidity Index (C-index = 0.63 vs. 0.59).

CONCLUSIONS

Multimorbidity is common in MND, necessitating holistic interdisciplinary management, but age is the dominant predictor of prognosis in people with MND. Excluding people with MND and multimorbidity from trial participation may do little to homogenise the cohort in terms of survival potential and could harm generalisability.

The Factors Associated with 3-Year Mortality Stratified by Physical and Mental Multimorbidity and Area of Residence Deprivation in Primary Care Community-Living Older Adults

Objectives: To examine the risk factors of mortality stratified by physical and mental multimorbidity (PMM) and area socioeconomic status. Methods: Cox regression analyses were used to study 3-year all-cause mortality in primary care older adults stratified by PMM status, and area of residence material and social deprivation. Results: There were socioeconomic differences in the associations between PMM and mortality. Continuity of care decreased mortality risk in moderately and most deprived areas. Satisfaction with medical consultations decreased mortality risk in moderately deprived areas. Current smoking increased mortality in those living in moderately and most deprived areas. Physical activity reduced mortality only in individuals without PMM. Higher cognition was associated with reduced mortality in individuals living in moderately deprived areas. Discussion: Public health policies should be further encouraged in primary care, aiming at increased continuity of care, quality of interactions with patients, and prevention strategies including smoking cessation programs and physical activity promotion.

Examining early and late onset of multimorbidity in the Canadian Longitudinal Study on Aging

BACKGROUND/OBJECTIVES

The study objective was to understand characteristics and health outcomes of multimorbidity, distinguishing between multimorbidity onset in earlier and later phases of life among community-dwelling older adults in Canada.

DESIGN

A cross-sectional analysis was conducted using baseline data from the Canadian Longitudinal Study on Aging (CLSA).

SETTING AND PARTICIPANTS

This analysis included 11,161 older adults who were between the ages of 65 and 85 years at baseline and who were living in community-based settings.

MEASUREMENTS

Multimorbidity was defined using two cutpoints: two or more chronic conditions (MM2+) and three or more chronic conditions (MM3+). After calculating the age of diagnosis for eligible participants, "early multimorbidity" was defined as multiple chronic conditions diagnosed before 45 years of age, while "late multimorbidity" was defined as multiple chronic conditions diagnosed at or after 45 years of age. The five health outcomes explored were physical disability, social limitation, frailty level, perceived general health status, and perceived mental health status.

RESULTS

Overall, the prevalence of MM2+ was 75.3% (95% CI: 74.3, 76.1) and the prevalence of MM3+ was 47.0% (95% CI: 46.0, 48.0). The majority of participants (both females and males) living with multimorbidity were categorized with late multimorbidity. Participants with early multimorbidity or both early and late multimorbidity had increased odds of physical disability, social limitation, increased frailty level, and negative perceived general and mental health. These patterns were detected for both MM2+ and MM3+.

CONCLUSION

This study examined the impact of the timing of multimorbidity onset on five health outcomes. Our findings highlight the importance of clinical and public health interventions to prevent and manage the causes and consequences of multimorbidity, with particular focus on age of onset. Future longitudinal research should be done to further articulate the relationships between multimorbidity and these health outcomes over time.

Scaling Up Patient-Centered Interdisciplinary Care for Multimorbidity: A Pragmatic Mixed-Methods Randomized Controlled Trial

PURPOSE

To measure the effectiveness of a 4-month interdisciplinary multifaceted intervention based on a change in care delivery for patients with multimorbidity in primary care practices.

METHODS

A pragmatic randomized controlled trial with a mixed-methods design in patients aged 18 to 80 years with 3 or more chronic conditions from 7 family medicine groups (FMGs) in Quebec, Canada. Health care professionals (nurses, nutritionists, kinesiologists) from the FMGs were trained to deliver the patient-centered intervention based on a motivational approach and self-management support. Primary outcomes: self-management (Health Education Impact Questionnaire); and self-efficacy.

SECONDARY OUTCOMES

health status, quality of life, and health behaviors. Quantitative analyses used multi-level mixed effects and generalized linear mixed models controlling for clustering within FMGs. We also conducted in-depth interviews with patients, family members, and health care professionals.

RESULTS

The trial randomized 284 patients (144 in intervention group, 140 in control group). The groups were comparable. After 4 months, the intervention showed a neutral effect for the primary outcomes. There was significant improvement in 2 health behaviors (healthy eating with odds ratios [OR] 4.36; P = .006, and physical activity with OR 3.43; P = .023). The descriptive qualitative evaluation revealed that the patients reinforced their self-efficacy and improved their self-management which was divergent from the quantitative results.

CONCLUSIONS

Quantitatively, this intervention showed a neutral effect on the primary outcomes and substantial improvement in 2 health behaviors as secondary outcomes. Qualitatively, the intervention was evaluated as positive. The combination of qualitative and quantitative designs proved to be a good design for evaluating this complex intervention.

Definitions and Prevalence of Multimorbidity in Large Database Studies: A Scoping Review

Background: Multimorbidity presents a key challenge to healthcare systems globally. However, heterogeneity in the definition of multimorbidity and design of epidemiological studies results in difficulty in comparing multimorbidity studies. This scoping review aimed to describe multimorbidity prevalence in studies using large datasets and report the differences in multimorbidity definition and study design. Methods: We conducted a systematic search of MEDLINE, EMBASE, and CINAHL databases to identify large epidemiological studies on multimorbidity. We used the Preferred Reporting Items for Systematic Reviews and Meta-analysis Extension for Scoping Reviews (PRISMA-ScR) protocol for reporting the results. Results: Twenty articles were identified. We found two key definitions of multimorbidity: at least two (MM2+) or at least three (MM3+) chronic conditions. The prevalence of multimorbidity MM2+ ranged from 15.3% to 93.1%, and 11.8% to 89.7% in MM3+. The number of chronic conditions used by the articles ranged from 15 to 147, which were organized into 21 body system categories. There were seventeen cross-sectional studies and three retrospective cohort studies, and four diagnosis coding systems were used. Conclusions: We found a wide range in reported prevalence, definition, and conduct of multimorbidity studies. Obtaining consensus in these areas will facilitate better understanding of the magnitude and epidemiology of multimorbidity.

Comparing the prevalence of multimorbidity using different operational definitions in primary care in Singapore based on a cross-sectional study using retrospective, large administrative data

OBJECTIVES

Multimorbidity is a norm in primary care. A consensus on its operational definition remains lacking especially in the list of chronic conditions considered. This study aimed to compare six different operational definitions of multimorbidity previously reported in the literature for the context of primary care in Singapore.

DESIGN, SETTING AND PARTICIPANTS

This is a retrospective study using anonymised primary care data from a study population of 787 446 patients. We defined multimorbidity as having three or more chronic conditions in an individual. The prevalence of single conditions and multimorbidity with each operational definition was tabulated and standardised prevalence rates (SPRs) were obtained by adjusting for age, sex and ethnicity. We compared the operational definitions based on (1) number of chronic diseases, (2) presence of chronic diseases of high burden and (3) relevance in primary care in Singapore. IBM SPSS V.23 and Microsoft Office Excel 2019 were used for all statistical calculations and analyses.

RESULTS

The SPRs of multimorbidity in primary care in Singapore varied from 5.7% to 17.2%. The lists by Fortin et al, Ge et al, Low et al and Quah et al included at least 12 chronic conditions, the recommended minimal number of conditions. Quah et al considered the highest proportion of chronic diseases (92.3%) of high burden in primary care in Singapore, with SPRs of at least 1.0%. Picco et al and Subramaniam et al considered the fewest number of conditions of high relevance in primary care in Singapore.

CONCLUSIONS

Fortin et al's list of conditions is most suitable for describing multimorbidity in the Singapore primary care setting. Prediabetes and 'physical disability' should be added to Fortin et al's list to augment its comprehensiveness. We propose a similar study methodology be performed in other countries to identify the most suitable operational definition in their own context.

Multimorbidity of chronic non-communicable diseases in low- and middle-income countries: A scoping review

Background:

Multimorbidity is rising in low- and middle-income countries (LMICs). However, the evidence on its epidemiology from LMICs settings is limited and the available literature has not been synthesized as yet.

Objectives:

To review the available evidence on the epidemiology of multimorbidity in LMICs.

Methods:

PubMed, Scopus, PsycINFO and Grey literature databases were searched. We followed the PRISMA-ScR reporting guideline.

Results:

Of 33, 110 articles retrieved, 76 studies were eligible for the epidemiology of multimorbidity. Of these 76 studies, 66 (86.8%) were individual country studies. Fifty-two (78.8%) of which were confined to only six middle-income countries: Brazil, China, South Africa, India, Mexico and Iran. The majority (n = 68, 89.5%) of the studies were crosssectional in nature. The sample size varied from 103 to 242, 952. The largest proportion (n = 33, 43.4%) of the studies enrolled adults. Marked variations existed in defining and measuring multimorbidity. The prevalence of multimorbidity in LMICs ranged from 3.2% to 90.5%.

Conclusion and Recommendations:

Studies on the epidemiology of multimorbidity in LMICs are limited and the available ones are concentrated in few countries. Despite variations in measurement and definition, studies consistently reported high prevalence of multimorbidity. Further research is urgently required to better understand the epidemiology of multimorbidity and define the best possible interventions to improve outcomes of patients with multimorbidity in LMICs.

Advancing cross-national planning and partnership: Proceedings from the International Multimorbidity Symposium 2019

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

Impact of nurse scientist-led digital health interventions on management of chronic conditions

BACKGROUND

Chronic conditions are a major contributor to the burden of disease worldwide. Using innovative digital health technologies, nurse scientists are well-positioned to lead efforts to reduce the burden of chronic conditions on individuals, communities, and systems.

PURPOSE

The purpose of this review was to summarize the outcomes commonly measured in nurse-led digital health interventions that target chronic conditions and pose recommendations for the education of future nurse scientists to lead these studies.

METHODS

A rapid review of the literature was completed using CINAHL and Ovid Emcare. Studies were included if the research: a) was led by a nurse; b) described outcomes of a digital health intervention; and c) included any population with a prevalent chronic condition.

FINDINGS

26 studies were included in this review. Nurse-led digital health interventions are being used to support and manage a range of chronic conditions in varied settings.

DISCUSSION

Digital health interventions are changing the delivery of healthcare for individuals living with chronic conditions. These interventions are bridging the gaps between the digital and physical worlds and are rapidly evolving.

CONCLUSION

The recommendations posed in this review reiterate the importance of robust content and methods education for nurse scientists to address future research needs in a digital era.

Health-related quality of life in patients with non-communicable disease: study protocol of a cross-sectional survey

INTRODUCTION

Non-communicable diseases (NCDs) are associated with lower health-related quality of life (HRQoL). However, knowledge about those diseases and predictors with a greater impact on patients' HRQoL as well as knowledge on the complex relationship between HRQoL and comorbidities is lacking. The aim of this study is to assess the impact of NCDs on patients' HRQoL, with a focus on multimorbidity and socioeconomic status.

METHODS AND ANALYSIS

A primary care-based cross-sectional study is conducted in Flanders (Belgium). Study participants (≥18 years) are medically diagnosed with at least one of the following diseases: cardiometabolic disorders, mental disorders and musculoskeletal disorders. A minimum of 50 general practitioners will participate to recruit participants (convenient sample) and a total of 531 patients will be enrolled (voluntary response sample). Each participant will complete a paper-based questionnaire to gather research outcomes. Statistical analyses will be performed using multiple linear regression models with HRQoL as main outcome parameter, adjusted for possible confounders. This study will generate new evidence on the key predictors of HRQoL in patients with NCDs, and particularly provide new insights in multimorbidity to improve the quality of care in primary care, to support patients' self-management and to allocate resources more effectively.

ETHICS AND DISSEMINATION

The study has been approved by the Ethical Committee of Ghent University Hospital, Ghent, Belgium (reference number: B670201939629) prior to the beginning of the recruitment. Study results will be disseminated through peer-reviewed publications and conference presentations.

Patterns of patients with multiple chronic conditions in primary care: A cross-sectional study

Objective

Our aim was to identify the patterns of multimorbidity among a group of patients who visited primary care in Singapore.

Methods

A cross-sectional study of electronic medical records was conducted on 437,849 individuals aged 0–99 years who visited National Healthcare Group Polyclinics from 1 Jul 2015 to 30 Jun 2016 for the management of chronic conditions. Patients’ health conditions were coded with the 10^th revision of the International Statistical Classification of Diseases and Related Health Problems (ICD-10), and patient records were extracted for analysis. Patients’ diagnosis codes were grouped by exploratory factor analysis (EFA), and patterns of multimorbidity were then identified by latent class analysis (LCA).

Results

EFA identified 19 groups of chronic conditions. Patients with at least three chronic conditions were further separated into eight classes based on demographics and probabilities of various diagnoses. We found that older patients had higher probabilities of comorbid hypertension, kidney disease and ischaemic heart disease (IHD), while younger patients had a higher probability of comorbid obesity. Female patients had higher probabilities of comorbid arthritis and anaemia, while male patients had higher probabilities of comorbid kidney diseases and IHD. Indian patients presented with a higher probability of comorbid diabetes than Chinese and Malay patients.

Conclusions

This study demonstrated that patients with multimorbidity in primary care could be classified into eight patterns. This knowledge could be useful for more precise management of these patients in the multiethnic Asian population of Singapore. Programmes for early intervention for at-risk groups can be developed based on the findings.

Sleep behaviours and multimorbidity occurrence in middle-aged and older adults: findings from the Canadian Longitudinal Study on Aging (CLSA)

OBJECTIVE

Poor sleep quality and reduced sleep duration impact over half of older adults and are associated with adverse health outcomes, such as multiple chronic conditions (multimorbidity) and reduced longevity. Our objective was to examine the relationship between sleep behaviours and multimorbidity in Canada.

METHODS

We analysed data from the Canadian Longitudinal Study on Aging (CLSA), a cross-sectional national health survey of community-dwelling adults over the age of 45 years. A total of 30,011 participants had physiological and psychosocial data collected at baseline. Sleep measures included self-reported sleep duration (short: <6 h; normal: 6-8 h; long: >8 h) and sleep quality (dissatisfied/very dissatisfied; neutral; satisfied/very satisfied). Multimorbidity was defined using two definitions (public health and primary care) and two cut-points (2 or more and 3 or more chronic conditions).

RESULTS

Approximately 70% were living with multimorbidity using the primary care definition (females: 67.9%; males 57.9%), whereas approximately 30% were living with multimorbidity using the public health definition (females: 30.9%; males: 24.0%). Adjusted analyses indicated that the odds of multimorbidity were higher for participants who selfreported either short or long sleep duration, as well as dissatisfaction with sleep quality. Associations were stronger among younger age groups (45-54 years and 55-64 years).

CONCLUSIONS

Disrupted sleep may be a risk factor for multimorbidity across sexes and age groups. It is necessary to understand the potential impact of sleep on the risk of multimorbidity to inform both clinical and public health guidelines for the prevention and management of this major health issue.