Impact of multimorbidity: acute morbidity, area of residency and use of health services across the life span in a region of south Europe

Comorbidities and use of health services in people with diabetes mellitus according to risk levels by adjusted morbidity groups

BACKGROUND

People with diabetes mellitus frequently have other comorbidities and involve greater use of primary and hospital care services. The aim of this study was to describe the comorbidities and use of primary and hospital care services of people with diabetes according to their risk level by adjusted morbidity groups (AMG) and to analyse the factors associated with the utilisation of these services.

METHODS

Cross-sectional study. People with diabetes were identified within the population of patients with chronic conditions of an urban health care centre by the AMG stratification tool integrated into the primary health care electronic clinical record of the Community of Madrid. Sociodemographic, functional, clinical characteristics and annual health care services utilisation variables were collected. Univariate, bivariate and Poisson regression analyses were performed.

RESULTS

A total of 1,063 people with diabetes were identified, representing 10.8% of patients with chronic conditions within the health centre. A total of 51.4% were female, the mean age was 70 years, 94.4% had multimorbidity. According to their risk level, 17.8% were high-risk, 40.6% were medium-risk and 41.6% were low-risk. The most prevalent comorbidities were hypertension (70%), dyslipidaemia (67%) and obesity (32.4%). Almost 50% were polymedicated. Regarding health services utilisation, 94% were users of primary care, and 59.3% were users of hospital care. Among the main factors associated with the utilisation of both primary and hospital care services were AMG risk level and complexity index. In primary care, utilisation was also associated with the need for primary caregivers, palliative care and comorbidities such as chronic heart failure and polymedication, while in hospital care, utilisation was also associated with comorbidities such as cancer, chronic obstructive pulmonary disease or depression.

CONCLUSIONS

People with diabetes were older, with important needs for care, many associated comorbidities and polypharmacy that increased in parallel with the patient's risk level and complexity. The utilisation of primary and hospital care services was very high, being more frequent in primary care. Health services utilization were principally associated with functional factors related to the need of care and with clinical factors such as AMG medium and high-risk level, more complexity index, some serious comorbidities and polymedication.

Utilization of Primary Healthcare Services in Patients with Multimorbidity According to Their Risk Level by Adjusted Morbidity Groups: A Cross-Sectional Study in Chamartín District (Madrid)

Patients with multimorbidity have increased and more complex healthcare needs, posing their management a challenge for healthcare systems. This study aimed to describe their primary healthcare utilization and associated factors. A population-based cross-sectional study was conducted in a Spanish basic healthcare area including all patients with chronic conditions, differentiating between having multimorbidity or not. Sociodemographic, functional, clinical and service utilization variables were analyzed, stratifying the multimorbid population by the Adjusted Morbidity Groups (AMG) risk level, sex and age. A total of 6036 patients had multimorbidity, 64.2% being low risk, 28.5% medium risk and 7.3% high risk. Their mean age was 64.1 years and 63.5% were women, having on average 3.5 chronic diseases, and 25.3% were polymedicated. Their mean primary care contacts/year was 14.9 (7.8 with family doctors and 4.4 with nurses). Factors associated with primary care utilization were age (B-coefficient [BC] = 1.15;95% Confidence Interval [CI] = 0.30-2.01), female sex (BC = 1.04; CI = 0.30-1.78), having a caregiver (BC = 8.70; CI = 6.72-10.69), complexity (B-coefficient = 0.46; CI = 0.38-0.55), high-risk (B-coefficient = 2.29; CI = 1.26-3.32), numerous chronic diseases (B-coefficient = 1.20; CI = 0.37-2.04) and polypharmacy (B-coefficient = 5.05; CI = 4.00-6.10). This study provides valuable data on the application of AMG in multimorbid patients, revealing their healthcare utilization and the need for a patient-centered approach by primary care professionals. These results could guide in improving coordination among professionals, optimizing multimorbidity management and reducing costs derived from their extensive healthcare utilization.

High prevalence of TB multimorbidity among adults of a tertiary hospital in Sierra Leone: a cross-sectional study

OBJECTIVE

Tuberculosis (TB) is a leading cause of death globally, with approximately 1.5 million deaths in 2020. TB often coexists with chronic communicable and non-communicable diseases, but data to determine the extent of comorbid diseases are limited. In this study, we aimed to assess the prevalence of TB multimorbidity and its risk factors in a tertiary hospital in Sierra Leone. This is a cross-sectional study of 240 adults with microbiologically-confirmed TB at Connaught Hospital in Freetown, between March and May 2022. Logistic regression analysis was used to identify factors associated with TB multimorbidity.

RESULTS

The mean age of the patients was 37 years. More than two-thirds were males and about the same number had two or more chronic diseases. The most common were hypertension (47.9%) and diabetes (24.2%). Patients under 35 years of age were less likely to have TB multimorbidity (< 25 years: adjusted OR 0.07, 95%CI 0.01-0.6; 25-34 years: adjusted OR 0.2, 95%CI 0.01-0.9). We report a high prevalence of comorbid diseases among TB patients in the largest treatment center in Sierra Leone, with hypertension and diabetes being the most common. These findings support the current call for addressing comorbid non-communicable diseases in TB patients through integrated care.

Shifts in Chronic Disease Patterns Among Spanish Older Adults With Multimorbidity Between 2006 and 2017

Objectives: To investigate changes in multimorbidity patterns among Spanish older adults. Methods: Data come from the Spanish National Health Survey (ENSE) for individuals aged 60-89 years (2006: n = 9,758; 2017: n = 8,535). Prevalence rates and relative risks of 20 chronic conditions are estimated for the multimorbidity (3+ chronic conditions) sample, along with observed-to-expected prevalence of three-way disease combinations. Principal component and cluster analyses identify multimorbidity patterns and track temporal changes. Results: Overall, multimorbidity remained stable [2006: 59.6% (95% CI: 58.7%-60.6%); 2017: 60.3% (CI: 59.3%-61.3%)], except at older ages. Women exhibited higher multimorbidity prevalence, but sex differences declined by five percentage points. Low-high education differences widened by three percentage points. In 2017 most individuals living with multimorbidity experienced hypertension (63.4%), osteoarthrosis (62.4%) and chronic back pain (55.9%). These chronic conditions also dominate the most common triadic combinations. Multimorbid men also saw increases in cholesterol and diabetes. Conclusion: Multimorbidity trends and the most common combination of diseases can help plan healthcare for an ageing population. Sex and socioeconomic differences pose additional public health challenges as women and deprived populations tend to have more health complexities.

Multimorbidity clusters among people with serious mental illness: a representative primary and secondary data linkage cohort study

BACKGROUND

People with serious mental illness (SMI) experience higher mortality partially attributable to higher long-term condition (LTC) prevalence. However, little is known about multiple LTCs (MLTCs) clustering in this population.

METHODS

People from South London with SMI and two or more existing LTCs aged 18+ at diagnosis were included using linked primary and mental healthcare records, 2012-2020. Latent class analysis (LCA) determined MLTC classes and multinominal logistic regression examined associations between demographic/clinical characteristics and latent class membership.

RESULTS

The sample included 1924 patients (mean (s.d.) age 48.2 (17.3) years). Five latent classes were identified: 'substance related' (24.9%), 'atopic' (24.2%), 'pure affective' (30.4%), 'cardiovascular' (14.1%), and 'complex multimorbidity' (6.4%). Patients had on average 7-9 LTCs in each cluster. Males were at increased odds of MLTCs in all four clusters, compared to the 'pure affective'. Compared to the largest cluster ('pure affective'), the 'substance related' and the 'atopic' clusters were younger [odds ratios (OR) per year increase 0.99 (95% CI 0.98-1.00) and 0.96 (0.95-0.97) respectively], and the 'cardiovascular' and 'complex multimorbidity' clusters were older (ORs 1.09 (1.07-1.10) and 1.16 (1.14-1.18) respectively). The 'substance related' cluster was more likely to be White, the 'cardiovascular' cluster more likely to be Black (compared to White; OR 1.75, 95% CI 1.10-2.79), and both more likely to have schizophrenia, compared to other clusters.

CONCLUSION

The current study identified five latent class MLTC clusters among patients with SMI. An integrated care model for treating MLTCs in this population is recommended to improve multimorbidity care.

The Integration of Clinical Decision Support Systems Into Telemedicine for Patients With Multimorbidity in Primary Care Settings: Scoping Review

BACKGROUND

Multimorbidity, the presence of more than one condition in a single individual, is a global health issue in primary care. Multimorbid patients tend to have a poor quality of life and suffer from a complicated care process. Clinical decision support systems (CDSSs) and telemedicine are the common information and communication technologies that have been used to reduce the complexity of patient management. However, each element of telemedicine and CDSSs is often examined separately and with great variability. Telemedicine has been used for simple patient education as well as more complex consultations and case management. For CDSSs, there is variability in data inputs, intended users, and outputs. Thus, there are several gaps in knowledge about how to integrate CDSSs into telemedicine and to what extent these integrated technological interventions can help improve patient outcomes for those with multimorbidity.

OBJECTIVE

Our aims were to (1) broadly review system designs for CDSSs that have been integrated into each function of telemedicine for multimorbid patients in primary care, (2) summarize the effectiveness of the interventions, and (3) identify gaps in the literature.

METHODS

An online search for literature was conducted up to November 2021 on PubMed, Embase, CINAHL, and Cochrane. Searching from the reference lists was done to find additional potential studies. The eligibility criterion was that the study focused on the use of CDSSs in telemedicine for patients with multimorbidity in primary care. The system design for the CDSS was extracted based on its software and hardware, source of input, input, tasks, output, and users. Each component was grouped by telemedicine functions: telemonitoring, teleconsultation, tele-case management, and tele-education.

RESULTS

Seven experimental studies were included in this review: 3 randomized controlled trials (RCTs) and 4 non-RCTs. The interventions were designed to manage patients with diabetes mellitus, hypertension, polypharmacy, and gestational diabetes mellitus. CDSSs can be used for various telemedicine functions: telemonitoring (eg, feedback), teleconsultation (eg, guideline suggestions, advisory material provisions, and responses to simple queries), tele-case management (eg, sharing information across facilities and teams), and tele-education (eg, patient self-management). However, the structure of CDSSs, such as data input, tasks, output, and intended users or decision-makers, varied. With limited studies examining varying clinical outcomes, there was inconsistent evidence of the clinical effectiveness of the interventions.

CONCLUSIONS

Telemedicine and CDSSs have a role in supporting patients with multimorbidity. CDSSs can likely be integrated into telehealth services to improve the quality and accessibility of care. However, issues surrounding such interventions need to be further explored. These issues include expanding the spectrum of medical conditions examined; examining tasks of CDSSs, particularly for screening and diagnosis of multiple conditions; and exploring the role of the patient as the direct user of the CDSS.

Competences of internal medicine specialists for the management of patients with multimorbidity. EFIM multimorbidity working group position paper

Patients with multimorbidity increasingly impact healthcare systems, both in primary care and in hospitals. This is particularly true in Internal Medicine. This population associates with higher mortality rates, polypharmacy, hospital readmissions, post-discharge syndrome, anxiety, depression, accelerated age-related functional decline, and development of geriatric syndromes, amongst others. Internists and Hospitalists, in one of their roles as Generalists, are increasingly asked to attend to these patients, both in their own Departments as well as in surgical areas. The management of polypathology and multimorbidity, however, is often complex, and requires specific clinical skills and corresponding experience. In addition, patients' needs, health-care environment, and routines have changed, so emerging and re-emerging specific competences and approaches are required to offer the best coordinated, continuous, and comprehensive integrated care to these populations, to achieve optimal health outcomes and satisfaction of patients, their relatives, and staff. This position paper proposes a set of emerging and re-emerging competences for internal medicine specialists, which are needed to optimally address multimorbidity now and in the future.

Epidemiology and predictors of multimorbidity in Kharameh cohort study: A population-based cross-sectional study in southern Iran

Background and Aim

Multimorbidity is one of the problems and concerns of public health. The aim of this study was to estimate the prevalence and identify the risk factors associated with multimorbidity based on the data of the Kherameh cohort study.

Methods

This cross-sectional study was performed on 10,663 individuals aged 40-70 years in the south of Iran in 2015 to 2017. Demographic and behavioral characteristics were investigated. Multimorbidity was defined as the coexistence of two or more of two chronic diseases in a person. In this study, the prevalence of multimorbidity was calculated. Logistic regression was used to identify the predictors of multimorbidity.

Results

The prevalence of multimorbidity was 24.4%. The age-standardized prevalence rate was 18.01% in males and 29.6% in females. The most common underlying diseases were gastroesophageal reflux disease with hypertension (33.5%). Multiple logistic regression results showed that the age of 45-55 years (adjusted odds ratio [OR_adj]] = 1.22, 95% confidence interval [CI], 1.07-1.38), age of over 55 years (OR_adj = 1.21, 95% CI, 1.06-1.37), obesity (OR_adj = 3.65, 95% CI, 2.55-5.24), and overweight (OR_adj = 2.92, 95% CI, 2.05-4.14) were the risk factors of multimorbidity. Also, subjects with high socioeconomic status (OR_adj = 1.27, 95% CI, 1.1-1.45) and very high level of socioeconomic status (OR_adj = 1.53, 95% CI, 1.31-1.79) had a higher chance of having multimorbidity. The high level of education, alcohol consumption, having job, and high physical activity had a protective role against it.

Conclusion

The prevalence of multimorbidity was relatively high in the study area. According to the results of our study, age, obesity, and overweight had an important effect on multimorbidity. Therefore, determining interventional strategies for weight loss and control and treatment of chronic diseases, especially in the elderly, is very useful.

The determinants of healthcare utilisation in regional, rural and remote South Australia: A cross-sectional study

Accessibility of health services outside metropolitan centres in Australia is sub-optimal. Recognising the barriers and enablers of healthcare access in rural, remote and regional settings is necessary to improving health service access in these disadvantaged populations. Accordingly, this study aimed to examine the determinants of healthcare use in rural, remote and regional South Australia. Cross-sectional survey data were collected from adults living outside metropolitan Adelaide in South Australia between April 2017 and March 2018. Using a multi-modal recruitment campaign, eligible adults were invited to complete the 44-item consumer utilisation, expectations and experiences of healthcare instrument. Independent predictors of health service utilisation (dependent variable) were determined using negative binomial regression. The questionnaire was completed by 3926 predominantly female (52.5%) adults aged ≥50 years (56.7%), residing in regional South Australia (84.5%). Fifteen independent variables were significantly associated with health service utilisation using univariate analyses. Using negative binomial regression analysis, two predisposing factors (sex, remoteness), three enabling factors (income, health literacy, employment), two need factors (health rating, multimorbidity) and two personal health practices (alcohol, diet) were independently and significantly associated with healthcare use. Female sex (OR = 1.436, p < 0.001), good/excellent health rating (OR = 0.589, p < 0.001) and high multimorbidity (OR = 1.408, p < 0.001) were the strongest predictors of health service use. These findings will help inform the development of targeted health promotion and service engagement strategies for regional populations, which in addition to addressing workforce shortages, may help address inequity in health outcomes, particularly for groups engaging with regional healthcare services infrequently.

Prevalence and risks of tuberculosis multimorbidity in low-income and middle-income countries: a meta-review

OBJECTIVES

Co-occurrence of tuberculosis (TB) with other chronic conditions (TB multimorbidity) increases complexity of management and adversely affects health outcomes. We aimed to map the prevalence of the co-occurrence of one or more chronic conditions in people with TB and associated health risks by systematically reviewing previously published systematic reviews.

DESIGN

Systematic review of systematic reviews (meta-review).

SETTING

Low-income and middle-income countries (LMICs).

PAPERS

We searched in Medline, Embase, PsycINFO, Social Sciences Citation Index, Science Citation Index, Emerging Sources Citation Index and Conference Proceedings Citation Index, and the WHO Global Index Medicus from inception to 23 October 2020, contacted authors and reviewed reference lists. Pairs of independent reviewers screened titles, abstracts and full texts, extracted data and assessed the included reviews' quality (AMSTAR2). We included systematic reviews reporting data for people in LMICs with TB multimorbidity and synthesised them narratively. We excluded reviews focused on children or specific subgroups (eg, incarcerated people).

PRIMARY AND SECONDARY OUTCOME MEASURES

Prevalence or risk of TB multimorbidity (primary); any measure of burden of disease (secondary).

RESULTS

From the 7557 search results, 54 were included, representing >6 296 000 people with TB. We found that the most prevalent conditions in people with TB were depression (45.19%, 95% CI: 38.04% to 52.55%, 25 studies, 4903 participants, I²=96.28%, high quality), HIV (31.81%, 95% CI: 27.83% to 36.07%, 68 studies, 62 696 participants, I²=98%, high quality) and diabetes mellitus (17.7%, 95% CI: 15.1% to 20.0.5%, 48 studies, 48,036 participants, I²=98.3%, critically low quality).

CONCLUSIONS

We identified several chronic conditions that co-occur in a significant proportion of people with TB. Although limited by varying quality and gaps in the literature, this first meta-review of TB multimorbidity highlights the magnitude of additional ill health burden due to chronic conditions on people with TB.

PROSPERO REGISTRATION NUMBER

CRD42020209012.

How to Improve Healthcare for Patients with Multimorbidity and Polypharmacy in Primary Care: A Pragmatic Cluster-Randomized Clinical Trial of the MULTIPAP Intervention

(1) Purpose: To investigate a complex MULTIPAP intervention that implements the Ariadne principles in a primary care population of young-elderly patients with multimorbidity and polypharmacy and to evaluate its effectiveness for improving the appropriateness of prescriptions. (2) Methods: A pragmatic cluster-randomized clinical trial was conducted involving 38 family practices in Spain. Patients aged 65–74 years with multimorbidity and polypharmacy were recruited. Family physicians (FPs) were randomly allocated to continue usual care or to provide the MULTIPAP intervention based on the Ariadne principles with two components: FP training (eMULTIPAP) and FP patient interviews. The primary outcome was the appropriateness of prescribing, measured as the between-group difference in the mean Medication Appropriateness Index (MAI) score change from the baseline to the 6-month follow-up. The secondary outcomes were quality of life (EQ-5D-5 L), patient perceptions of shared decision making (collaboRATE), use of health services, treatment adherence, and incidence of drug adverse events (all at 1 year), using multi-level regression models, with FP as a random effect. (3) Results: We recruited 117 FPs and 593 of their patients. In the intention-to-treat analysis, the between-group difference for the mean MAI score change after a 6-month follow-up was −2.42 (95% CI from −4.27 to −0.59) and, between baseline and a 12-month follow-up was −3.40 (95% CI from −5.45 to −1.34). There were no significant differences in any other secondary outcomes. (4) Conclusions: The MULTIPAP intervention improved medication appropriateness sustainably over the follow-up time. The small magnitude of the effect, however, advises caution in the interpretation of the results given the paucity of evidence for the clinical benefit of the observed change in the MAI. Trial registration: Clinicaltrials.gov NCT02866799.

The epidemiology of multimorbidity in France: Variations by gender, age and socioeconomic factors, and implications for surveillance and prevention

Background

Robust public health and health system response to the increasing burden of multimorbidity worldwide requires detailed epidemiological examination of its key sociodemographic and geographic determinants. We investigated the role of gender, age and socioeconomic and geographic factors on multimorbidity (i.e., having two or more conditions) in the adult population in France and examined implications for surveillance and prevention.

Methods

We used data from two large nationwide representative surveys with cross-sectional and longitudinal health and socio-demographic indicators, conducted in France between 2008 and 2014. Morbidity counts and frequent dyads/triads of conditions independently impacting mortality, activity limitations, and perceived health were investigated with regard to differences in gender, age, socioeconomic (education, occupation and income) and geography (size of the urban unit and region).

Results

The component conditions of multimorbidity varied with gender and age. Women experienced multimorbidity 23–31% more frequently and at a younger age (5–15 years earlier) than men. Multimorbidity increased with age while its associations with most health indicators weakened with it. Multimorbidity was strongly and independently associated with socioeconomic indicators, with a strong inverse dose-response relationship with education, but less consistently with geographic factors.

Conclusions

Multimorbidity has diverse and variable components and impacts across gender and age. It is strongly associated with socioeconomic factors, notably educational level, for which causality appears likely. Consideration of this diversity and variability, its common occurrence in dyads and triads, and its impact on health outcomes according to age and gender may contribute to efficient surveillance and support the identification of prevention strategies targeting middle-aged men and women.

Preventing Multimorbidity with Lifestyle Interventions in Sub-Saharan Africa: A New Challenge for Public Health in Low and Middle-Income Countries

Objectives: Low and Middle-Income Countries are experiencing a fast-paced epidemiological rise in clusters of non-communicable diseases such as diabetes and cardiovascular disease, forming an imminent rise in multimorbidity. However, preventing multimorbidity has received little attention in LMICs, especially in Sub-Saharan African Countries. Methods: Narrative review which scoped the most recent evidence in LMICs about multimorbidity determinants and appropriated them for potential multimorbidity prevention strategies. Results: MMD in LMICs is affected by several determinants including increased age, female sex, environment, lower socio-economic status, obesity, and lifestyle behaviours, especially poor nutrition, and physical inactivity. Multimorbidity public health interventions in LMICs, especially in Sub-Saharan Africa are currently impeded by local and regional economic disparity, underdeveloped healthcare systems, and concurrent prevalence of communicable and non-communicable diseases. However, lifestyle interventions that are targeted towards preventing highly prevalent multimorbidity clusters, especially hypertension, diabetes, and cardiovascular disease, can provide early prevention of multimorbidity, especially within Sub-Saharan African countries with emerging economies and socio-economic disparity. Conclusion: Future public health initiatives should consider targeted lifestyle interventions and appropriate policies and guidelines in preventing multimorbidity in LMICs.

Socioeconomic variation of multimorbidity in Colombian older adults

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

Effectiveness of a nurse-led, face-to-face health coaching intervention in enhancing activation and secondary outcomes of primary care users with chronic conditions

Prevalence of chronic diseases and multimorbidity is rising, and it remains unclear what the best strategy is for activating people with chronic conditions in their self-care. We designed a two-group quasi-experimental time series trial to examine the effectiveness of a nurse-led, face-to-face, individually-tailored health coaching (HC) intervention in improving patient activation and secondary outcomes (self-efficacy, quality of life, anxiety and depression symptoms, medication adherence, hospitalization and emergency visits) among primary care users with chronic conditions. A total of 118 people with chronic conditions were recruited through a primary care center and allocated to either the intervention group (IG) (n = 58) or control group (CG) (n = 60). The IG received a nurse-led individually-tailored HC intervention involving 4-6 face-to-face multicomponent sessions covering six core activation topics. The CG received usual primary care. Data were collected at baseline, after the intervention (6 weeks after baseline for controls) and at 6 and 12 months from baseline. Compared with controls, the IG had significantly higher patient activation scores after the intervention (73.29 vs. 66.51, p = .006). However, this improvement was not maintained at follow-up and there were no significant differences in secondary outcomes across the study period. HC may be an effective strategy for achieving short-term improvements in the activation of primary care users with chronic conditions. Further studies with different methodological approaches are needed to elucidate how HC may improve and sustain changes in patient activation.

Tuberculosis and Non-Communicable Disease Multimorbidity: An Analysis of the World Health Survey in 48 Low- and Middle-Income Countries

Tuberculosis (TB) is a leading cause of mortality in low- and middle-income countries (LMICs). TB multimorbidity [TB and ≥1 non-communicable diseases (NCDs)] is common, but studies are sparse. Cross-sectional, community-based data including adults from 21 low-income countries and 27 middle-income countries were utilized from the World Health Survey. Associations between 9 NCDs and TB were assessed with multivariable logistic regression analysis. Years lived with disability (YLDs) were calculated using disability weights provided by the 2017 Global Burden of Disease Study. Eight out of 9 NCDs (all except visual impairment) were associated with TB (odds ratio (OR) ranging from 1.38-4.0). Prevalence of self-reported TB increased linearly with increasing numbers of NCDs. Compared to those with no NCDs, those who had 1, 2, 3, 4, and ≥5 NCDs had 2.61 (95% confidence interval (CI) = 2.14-3.22), 4.71 (95%CI = 3.67-6.11), 6.96 (95%CI = 4.95-9.87), 10.59 (95%CI = 7.10-15.80), and 19.89 (95%CI = 11.13-35.52) times higher odds for TB. Among those with TB, the most prevalent combinations of NCDs were angina and depression, followed by angina and arthritis. For people with TB, the YLDs were three times higher than in people without multimorbidity or TB, and a third of the YLDs were attributable to NCDs. Urgent research to understand, prevent and manage NCDs in people with TB in LMICs is needed.

Household and area-level social determinants of multimorbidity: a systematic review

BACKGROUND

No clear synthesis of evidence examining household and area-level social determinants of multimorbidity exists. This study aimed to systematically review the existing literature on associations between household and area-level social determinants of health (SDoH) and multimorbidity prevalence or incidence in the general population.

METHODS

Six databases (MedLine, EMBASE, PsychINFO, Web of Science, CINAHL Plus and Scopus) were searched. The search was limited to peer-reviewed studies conducted in high-income countries and published in English between 2010 and 2019. A second reviewer screened all titles with abstracts and a subset of full texts. Study quality was assessed and protocol pre-registered (CRD42019135281).

RESULTS

41 studies spanning North America, Europe and Australasia were included. Household income and area-level deprivation were the most explored with fairly consistent findings. The odds of multimorbidity were up to 4.4 times higher for participants with the lowest level of income compared with the highest level. Those living in the most deprived areas had the highest prevalence or incidence of multimorbidity (pooled OR 1.42, 95% CI 1.41 to 1.42). Associations between deprivation and multimorbidity differed by age and multimorbidity type. Findings from the few studies investigating household tenure, household composition and area-level rurality were mixed and contradictory; homeownership and rurality were associated with increased and decreased multimorbidity, while living alone was found to be associated with a higher risk of multimorbidity and not associated.

CONCLUSION

Improving our understanding of broader social determinants of multimorbidity-particularly at the household level-could help inform strategies to tackle multimorbidity.

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.

Description of multimorbidity clusters of admitted patients in medical departments of a general hospital

OBJECTIVE

We aim to identify patterns of disease clusters among inpatients of a general hospital and to describe the characteristics and evolution of each group.

METHODS

We used two data sets from the CMBD (Conjunto mínimo básico de datos - Minimum Basic Hospital Data Set (MBDS)) of the Lucus Augusti Hospital (Spain), hospitalisations and patients, realising a retrospective cohort study among the 74 220 patients discharged from the Medic Area between 01 January 2000 and 31 December 2015. We created multimorbidity clusters using multiple correspondence analysis.

RESULTS

We identified five clusters for both gender and age. Cluster 1: alcoholic liver disease, alcoholic dependency syndrome, lung and digestive tract malignant neoplasms (age under 50 years). Cluster 2: large intestine, prostate, breast and other malignant neoplasms, lymphoma and myeloma (age over 70, mostly males). Cluster 3: malnutrition, Parkinson disease and other mobility disorders, dementia and other mental health conditions (age over 80 years and mostly women). Cluster 4: atrial fibrillation/flutter, cardiac failure, chronic kidney failure and heart valve disease (age between 70-80 and mostly women). Cluster 5: hypertension/hypertensive heart disease, type 2 diabetes mellitus, ischaemic cardiomyopathy, dyslipidaemia, obesity and sleep apnea, including mostly men (age range 60-80). We assessed significant differences among the clusters when gender, age, number of chronic pathologies, number of rehospitalisations and mortality during the hospitalisation were assessed (p<0001 in all cases).

CONCLUSIONS

We identify for the first time in a hospital environment five clusters of disease combinations among the inpatients. These clusters contain several high-incidence diseases related to both age and gender that express their own evolution and clinical characteristics over time.

Association of socioeconomic and lifestyle factors with chronic non-communicable diseases and multimorbidity among the elderly in rural southwest China

BACKGROUND

This study estimates the prevalence of five chronic non-communicable disease (NCDs) (hypertension, diabetes, CHD, COPD and stroke) and its multimorbidity, and examines the relationship between SES and lifestyle factors and multimorbidity among older adults in rural southwest China.

METHODS

A cross-sectional survey of 4833 consenting adults aged ≥60 years was conducted in 2017. Data on the demographics, smoking, drinking, height, weight, blood pressure and fasting blood glucose were collected.

RESULTS

Among the participants, the overall prevalence of hypertension, diabetes, stroke, COPD and CHD was 50.6, 10.2, 6.4, 5.4 and 5.5%, respectively, and of multimorbidity was 16.1%. Females had a higher prevalence of hypertension, diabetes and multimorbidity of chronic NCDs, but a lower prevalence of COPD than males (P < 0.05). Older adults with good household assets and access to medical services were less likely to experience multimorbidity, whereas obese and centrally obese participants, current smokers, current drinkers and those with a family history of chronic NCDs had a greater probability of multimorbidity.

CONCLUSIONS

The findings suggest that effective strategies for prevention and control of chronic NCDs and its multimorbidity are urgently needed, especially for low-income, elderly, ethnic minority adults with poor access to medical services.

Neighborhood's locality, road types, and residents' multimorbidity: evidence from China's middle-aged and older adults

Background

Neighborhood factors have gained increasing attention, while the association between the neighborhood’s characteristics and multimorbidity has not been clarified. In this study, we aim to depict variations in the number of non-communicable chronic diseases (NCDs) as a function of urban vs. rural settings and road types.

Methods

The present cross-sectional study derived data from the China Health and Retirement Longitudinal Study 2011 National Baseline Survey. Negative binomial regression with clustered robust standard errors was performed to analyze variations in the number of NCDs among 13,414 Chinese middle-aged and older adults. Logistic regression models were employed to investigate the association between neighborhood-level characteristics and each NCD, respectively.

Results

First, over 65% of subjects had at least one NCDs, and over 35% had multimorbidity. Arthritis (33.08%), hypertension (24.54%), and digestive disease (21.98%) were the most prevalent NCDs. Urban vs. rural differences in multimorbidity were fully explained by neighborhood clustering variations (IRR = 1.02, 95% CI, 0.95–1.10). Living with paved roads was associated with a smaller number of NCDs relative to living with unpaved roads (IRR = 0.86, 95% CI, 0.78–0.95). Results from subgroup analyses suggested that in comparison with those living with unpaved roads, individuals living with paved roads respectively had lower odds of chronic lung disease (OR = 0.76, 95% CI, 0.63–0.93), chronic liver disease (OR = 0.74, 95% CI, 0.55–0.99), chronic kidney disease (OR = 0.68, 95% CI, 0.51–0.89), digestive disease (OR = 0.82, 95% CI, 0.69–0.97), arthritis or rheumatism (OR = 0.69, 95% CI, 0.55–0.87), and asthma (OR = 0.67, 95% CI, 0.51–0.88).

Conclusions

Urban vs. rural disparities in multimorbidity appeared to result from within-neighborhoods characteristics. The improvement in neighborhood-level characteristics, such as road pavement, holds promise to alleviate the increasing disease burden of chronic diseases.

Self-management strategies and comorbidities in chronic disease patients: associations with quality of life and depression

Self-management strategies are essential for improving prognosis in chronic illnesses. This study aimed to investigate the association between comorbidity and self-management strategies. A total of 700 patients with one or more chronic diseases including diabetes, dyslipidemia, hypertension, osteoporosis, chronic lung disease, chronic kidney disease and arthritis were enrolled. A questionnaire including the Smart Management Strategy for Health Assessment Tool Short Form (SAT), the Short Form-12, the McGill Quality of Life questionnaire, and the Patient Health Questionnaire-9 was administered to participants. The trend of each SAT according to number of comorbidities was evaluated, and the difference in quality of life and depression according to self-management strategies was examined in the model classified by the number of diseases. Self-management strategy scores tended to decrease as the number of comorbidities increased from one to four (p-value: 0.001 to 0.008). Regardless of the number of comorbidities, the MQOL score was higher in the good self-management strategy group (p: <0.001 to 0.016). The prevalence of mild depression was higher in patients with low self-management strategy, but the differences were not significant. Based on these findings, self-management strategies should be evaluated multidimensionally, and patients should be encouraged to develop effective self-management strategies to manage multiple chronic diseases.

Urban-rural and socioeconomic status: Impact on multimorbidity prevalence in hospitalized patients

OBJECTIVE

The aim of this study was to describe multimorbidity prevalence in hospitalized adults, by urban-rural area of residence and socioeconomic status (SES).

METHODS

Linked hospital episode data were used. Adults (≥18 years) admitted to hospital as an inpatient during 2014 in Grampian, Scotland, were included. Conditions were identified from admissions during the 5 years prior to the first admission in 2014. Multimorbidity was defined as ≥2 conditions and measured using Tonelli et al. based on International Classification of Diseases-10 coding (preselected list of 30 conditions). We used proportions and 95% confidence intervals (CIs) to summarize the prevalence of multimorbidity by age group, sex, urban-rural category and deprivation. The association between multimorbidity and patient characteristics was assessed using the χ 2 test.

RESULTS

Forty one thousand five hundred and forty-five patients were included (median age 62, 52.6% female). Overall, 27.4% (95% CI 27.0, 27.8) of patients were multimorbid. Multimorbidity prevalence was 28.8% (95% CI 28.1, 29.5) in large urban versus 22.0% (95% CI 20.9, 23.3) in remote rural areas and 28.7% (95% CI 27.2, 30.3) in the most deprived versus 26.0% (95% CI 25.2, 26.9) in the least deprived areas. This effect was consistent in all age groups, but not statistically significant in the age group 18-29 years. Multimorbidity increased with age but was similar for males and females.

CONCLUSION

Given the scarcity of research into the effect of urban-rural area and SES on multimorbidity prevalence among hospitalized patients, these findings should inform future research into new models of care, including the consideration of urban-rural area and SES.

Urban-rural differences in multimorbidity and associated factors in China and Korea: A population-based survey study

AIM

To analyze differences in multimorbidity rates and associated factors between urban and rural regions of Korea and China.

METHODS

Data were drawn from the Gateway to Global Aging Datasets. We describe multimorbidity patterns across rural and urban settings in each of the countries. Multivariate regression was used to identify factors associated with multimorbidity in each of the countries by region.

RESULTS

In China, 31% of the sample had multimorbidity, with significantly higher proportions in the cities. In Korea, 24% had multimorbidity, with higher proportions in rural areas. However, multivariate analyses showed that rurality was associated with a lower risk of multimorbidity in both countries. Also, although there was significant socioeconomic disparity regarding multimorbidity in both rural and urban China, the disparity was focused around urban areas for Korea.

CONCLUSIONS

Multimorbidity rates and associated socioeconomic factors varied by country and region. The concentration of socioeconomic disparities associated with multimorbidity in urban regions call to attention the vulnerability of "urban poor" in East Asia against chronic conditions. Geriatr Gerontol Int 2019; 19: 1157-1164.

Comparison of cardiovascular risk factors among coronary artery bypass graft patients in 2010 and 2016: A single-center study in Guilan province, Iran

BACKGROUND

There has been a change in the risk factor profile of patients with coronary artery disease (CAD) in the western world. We sought to compare the risk factor profile of patients undergoing coronary artery bypass graft (CABG) surgery in northern part of Iran in 2010 and 2016.

METHODS

In a cross-sectional study, medical records of 296 CABG patients in 2010 and 500 patients in 2016 were collected from a referral university hospital in Guilan province, Iran. We compared the risk factor profile using chi-square test or independent t-test as needed in the two time points, 2010 and 2016.

RESULTS

The age of CABG patients significantly decreased from 62.49 ± 8.05 to 58.09 ± 9.20 over time. The frequency of hypertension (HTN) (66.2% vs. 59.1%, P = 0.045), diabetes mellitus (DM) (51.8% vs. 43.6%, P = 0.025), smoking (35.6% vs. 28.0%, P = 0.028), and patients with multimorbidity (31.8% vs. 26.7%, P = 0.001) increased in the second period compared to the first period of study. Whereas, the prevalence of hypercholesterolemia and positive family history of coronary heart disease (CHD) remained stable over time (49.6% vs. 49.0%, P = 0.870; 10.5% vs. 11.1%, P = 0.810, respectively).

CONCLUSION

We observed a dramatic increase in DM, HTN, and cigarette smoking as well as the multimorbidity prevalence in 2016 compared to 2010. Even with considering all study limitations, primary and secondary prevention program to decrease cardiovascular disease is required.

Factors associated with the use of outpatient services among the elderly in Indonesia

Background

Elderly people tend to have greater healthcare utilization because of their health status. However, with the 4th largest population in the world, little is known concerning the use of services among the Indonesian elderly. Hence, this study aimed to identify factors related to the use of outpatient services among the Indonesian elderly.

Methods

This is cross sectional study using data from the Indonesian Family Life Survey 5 (IFLS 5), conducted in 2014 and 2015. Only those who were 60 years or older were included in the analyses. We used a logistic regression analysis to determine factors associated with use of outpatient services.

Results

Among 2912 participants, only 22.7% of respondents had visited health workers or doctors within the previous 4 weeks before the survey. After controlling for other variables, factors associated with the use of outpatient services were socioeconomic status, insurance status, regions of residence, self-rated health, and the number of chronic conditions.

Conclusion

Inequality in outpatient services was observed among the elderly in Indonesia. More effort is need to expand insurance coverage for the elderly, particularly for those in the lower economic status, and to improve access to outpatient services in rural regions by allocating the needed resources.

Prevalence, Treatment, and Associated Factors of Hypertension in Spain: A Comparative Study between Populations

The prevalence and related factors of hypertensive subjects according to the resident area (rural versus urban) were investigated in two population-based studies from Spain. Medical questionnaires were administered and anthropometrics were measured, using standardized protocols. Hypertension was diagnosed in pharmacology treated subjects or those with blood pressure (BP) ≥140/90 mm Hg. Regarding BP control, it was defined as under control if BP was <140/90 or <140/85 mm Hg in type 2 diabetic subjects. Information on educational status, social class, smoking habit, and alcohol intake was obtained. 3,816 subjects (54.38 % women) were included. Prevalence of diagnosed hypertension was higher in women and showed no differences according to the living area (men: urban 21.88 versus rural 21.92 %, p = 0.986; women: urban 28.73 versus rural 30.01 %, p = 0.540). Women living in rural areas and men with secondary or tertiary education levels had a lower probability of being BP uncontrolled (OR (95 % CI): 0.501 (0.258-0.970)/p=0.040, 0.245 (0.092-0.654)/p=0.005, and 0.156 (0.044-0.549)/p=0.004, respectively). Urban young men (31-45 years) and medium aged women (46-60 years) were less BP controlled than their rural counterparts (41.30 versus 65.79 %/p=0.025 and 35.24 versus 53.27 %/p=0.002, respectively).

Comparative analysis of methods for identifying multimorbidity patterns: a study of 'real-world' data

OBJECTIVE

The aim was to compare multimorbidity patterns identified with the two most commonly used methods: hierarchical cluster analysis (HCA) and exploratory factor analysis (EFA) in a large primary care database. Specific objectives were: (1) to determine whether choice of method affects the composition of these patterns and (2) to consider the potential application of each method in the clinical setting.

DESIGN

Cross-sectional study. Diagnoses were based on the 263 corresponding blocks of the International Classification of Diseases version 10. Multimorbidity patterns were identified using HCA and EFA. Analysis was stratified by sex, and results compared for each method.

SETTING AND PARTICIPANTS

Electronic health records for 408 994 patients with multimorbidity aged 45-64 years in 274 primary health care teams from 2010 in Catalonia, Spain.

RESULTS

HCA identified 53 clusters for women, with just 12 clusters including at least 2 diagnoses, and 15 clusters for men, all of them including at least two diagnoses. EFA showed 9 factors for women and 10 factors for men. We observed differences by sex and method of analysis, although some patterns were consistent. Three combinations of diseases were observed consistently across sex groups and across both methods: hypertension and obesity, spondylopathies and deforming dorsopathies, and dermatitis eczema and mycosis.

CONCLUSIONS

This study showed that multimorbidity patterns vary depending on the method of analysis used (HCA vs EFA) and provided new evidence about the known limitations of attempts to compare multimorbidity patterns in real-world data studies. We found that EFA was useful in describing comorbidity relationships and HCA could be useful for in-depth study of multimorbidity. Our results suggest possible applications for each of these methods in clinical and research settings, and add information about some aspects that must be considered in standardisation of future studies: spectrum of diseases, data usage and methods of analysis.

Prevalence and overlap of Disease Management Program diseases in older hospitalized patients

Many countries, like Denmark, have tailored Disease Management Programs (DMPs) based on patients having single chronic diseases [defined institutionally as "program diseases" (PDs)], which can complicate treatment for those with multiple chronic diseases. The aims of this study were (a) to assess the prevalence and overlap among acutely hospitalized older medical patients of PDs defined by the DMPs, and (b) to examine transitions between different departments during hospitalization and mortality and readmission within two time intervals among patients with the different PDs. We conducted a registry study of 4649 acutely hospitalized medical patients ≥65 years admitted to Copenhagen University Hospital, Hvidovre, Denmark, in 2012, and divided patients into six PD groups (type 2 diabetes, chronic obstructive pulmonary disease, cardiovascular disease, musculoskeletal disease, dementia and cancer), each defined by several ICD-10 codes predefined in the DMPs. Of these patients, 904 (19.4%) had 2 + PDs, and there were 47 different combinations of the six different PDs. The most prevalent pair of PDs was type 2 diabetes with cardiovascular disease in 203 (22.5%) patients, of whom 40.4% had an additional PD. The range of the cumulative incidence of being readmitted within 90 days was between 28.8% for patients without a PD and 46.6% for patients with more than one PD. PDs overlapped in many combinations, and all patients had a high probability of being readmitted. Hence, developing strategies to create a new generation of DMPs applicable to older patients with comorbidities could help clinicians organize treatment across DMPs.

Pharmacological control of diabetes and hypertension comorbidity in the elderly: A study of "real world" data

AIMS

The study aimed to determine which drug combinations achieve better control in comorbid diabetes and hypertension in a pragmatic sample of primary health care patients.

METHODS

Cross-sectional study.

SETTING

251 primary health care centres in Catalonia, Spain.

PARTICIPANTS

individuals ≥65 years old with a dual diagnosis of hypertension and diabetes.

MAIN OUTCOME MEASURES

good control criteria were established as glycated haemoglobin ≤7% and blood pressure <140/90mmHg. Antihypertensive and hypoglycaemic drugs and treatment adherence were analysed in relation to their association with good control.

RESULTS

27,637 patients (58.0% women) had hypertension and diabetes and met selection criteria. Mean age was 75.9 years (standard deviation [SD]: 6.7). Both diseases were well controlled simultaneously in 34.2% of patients. The combination of biguanides and diuretics achieved the highest association with good control. Adherence to pharmacological treatment was more difficult in diabetes than in hypertension. Lack of control was associated significantly with non-adherence to treatment, 0-12 PHC visits, obesity and increasing number of diabetes prescriptions.

CONCLUSIONS

Good control of diabetes and hypertension comorbidity with pharmacological treatment in elderly patients is challenging. Some drug combinations achieved better control than others. The greatest effort should focus on improving the low adherence to diabetes treatment.

Contextual and individual inequalities of multimorbidity in Brazilian adults: a cross-sectional national-based study

OBJECTIVES

The study aims to evaluate the magnitude of multimorbidity in Brazilian adults, as well to measure their association with individual and contextual factors stratified by Brazilian states and regions.

METHODS

A national-based cross-sectional study was carried out in 2013 with Brazilian adults. Multimorbidity was evaluated by a list of 22 physical and mental morbidities (based on self-reported medical diagnosis and Patient Health Questionnaire-9 for depression). The outcome was analysed taking ≥2 and ≥3 diseases as cut-off points. Factor analysis (FA) was used to identify disease patterns and multilevel models were used to test association with individual and contextual variables.

RESULTS

The sample comprised 60 202 individuals. Multimorbidity frequency was 22.2% (95% CI 21.5 to 22.9) for ≥2 morbidities and 10.2% (95% CI 9.7 to 10.7) for ≥3 morbidities. In the multilevel adjusted models, females, older people, those living with a partner and having less schooling presented more multiple diseases. No linear association was found according to wealth index but greater outcome frequency was found in individuals with midrange wealth index. Living in states with higher levels of education and wealthier states was associated with greater multimorbidity. Two patterns of morbidities (cardiometabolic problems and respiratory/mental/muscle-skeletal disorders) explained 92% of total variance. The relationship of disease patterns with individual and contextual variables was similar to the overall multimorbidity, with differences among Brazilian regions.

CONCLUSIONS

In Brazil, at least 19 million adults had multimorbidity. Frequency is similar to that found in other Low and and Middle Income Countries. Contextual and individual social inequalities were observed.

Familial liability to psychosis is a risk factor for multimorbidity in people with psychotic disorders and their unaffected siblings

BACKGROUND

Multimorbidity may impose an overwhelming burden on patients with psychosis and is affected by gender and age. Our aim is to study the independent role of familial liability to psychosis as a risk factor for multimorbidity.

METHODS

We performed the study within the framework of the Genetic Risk and Outcome of Psychosis (GROUP) project. Overall, we compared 1024 psychotic patients, 994 unaffected siblings and 566 controls on the prevalence of 125 lifetime diseases, and 19 self-reported somatic complaints. Multimorbidity was defined as the presence of two or more complaints/diseases in the same individual. Generalized linear mixed model (GLMM) were used to investigate the effects of gender, age (adolescent, young, older) and familial liability (patients, siblings, controls) and their interactions on multimorbidity.

RESULTS

Familial liability had a significant effect on multimorbidity of either complaints or diseases. Patients had a higher prevalence of multimorbidity of complaints compared to siblings (OR 2.20, 95% CI 1.79-2.69, P<0.001) and to controls (3.05, 2.35-3.96, P<0.001). In physical health multimorbidity, patients (OR 1.36, 95% CI 1.05-1.75, P=0.018), but not siblings, had significantly higher prevalence than controls. Similar finding were observed for multimorbidity of lifetime diseases, including psychiatric diseases. Significant results were observed for complaints and disease multimorbidity across gender and age groups.

CONCLUSION

Multimorbidity is a common burden, significantly more prevalent in patients and their unaffected siblings. Familial liability to psychosis showed an independent effect on multimorbidity; gender and age are also important factors determining multimorbidity.

Multimorbidity as an important issue among women: results of a gender difference investigation in a large population-based cross-sectional study in West Asia

OBJECTIVES

To investigate the impact of gender on multimorbidity in northern Iran.

DESIGN

A cross-sectional analysis of the Golestan cohort data.

SETTING

Golestan Province, Iran.

STUDY POPULATION

49 946 residents (age 40-75 years) of Golestan Province, Iran.

MAIN OUTCOME MEASURES

Researchers collected data related to multimorbidity, defined as co-existence of two or more chronic diseases in an individual, at the beginning of a representative cohort study which recruited its participants from 2004 to 2008. The researchers utilised simple and multiple Poisson regression models with robust variances to examine the simultaneous effects of multiple factors.

RESULTS

Women had a 25.0% prevalence of multimorbidity, whereas men had a 13.4% prevalence (p<0.001). Women of all age-groups had a higher prevalence of multimorbidity. Of note, multimorbidity began at a lower age (40-49 years) in women (17.3%) compared with men (8.6%) of the same age (p<0.001). This study identified significant interactions between gender as well as socioeconomic status, ethnicity, physical activity, marital status, education level and smoking (p<0.01).

CONCLUSION

Prevention and control of multimorbidity requires health promotion programmes to increase public awareness about the modifiable risk factors, particularly among women.

The burden of cardiovascular morbidity in a European Mediterranean population with multimorbidity: a cross-sectional study

BACKGROUND

Cardiovascular diseases are highly represented in multimorbidity patterns. Nevertheless, few studies have analysed the burden of these diseases in the population with multimorbidity. The objective of this study was to identify and describe the cardiovascular diseases among the patients with multimorbidity.

METHODS

We designed a cross-sectional study in patients ≥19 years old assigned to 251 primary health care centres in Catalonia, Spain. The main outcome was cardiovascular morbidity burden, defined as the presence of one or more of 24 chronic cardiovascular diseases in multimorbid patients (≥2 chronic conditions). Two groups were defined, with and without multimorbidity; the multimorbidity group was further divided into cardiovascular and non-cardiovascular subgroups. The secondary outcomes were: modifiable major cardiovascular risk factors (smoking, hypertension, hypercholesterolaemia, diabetes) and cardiovascular risk score (REGICOR, Registre Gironí del Cor). Other variables analysed were: sex, age (19-24, 25-44, 45-64, 65-79, and 80+ years), number of chronic diseases, urban setting, active toxic habits (smoking and alcohol), physical parameters and laboratory tests.

RESULTS

A total of 1,749,710 individuals were included (mean age, 47.4 years [SD: 17.8]; 50.7 % women), of which nearly half (46.8 %) had multimorbidity (95 % CI: 46.9-47.1). In patients with multimorbidity,, the cardiovascular burden was 54.1 % of morbidity (95 % CI: 54.0-54.2) and the four most prevalent cardiovascular diseases were uncomplicated hypertension (75.3 %), varicose veins of leg (20.6 %), "other" heart disease (10.5 %) and atrial fibrillation/flutter (6.7 %). In the cardiovascular morbidity subgroup, 38.2 % had more than one cardiovascular disease. The most prevalent duet and triplet combinations were uncomplicated hypertension & lipid disorder (38.8 %) and uncomplicated hypertension & lipid disorder & non-insulin dependent diabetes (11.3 %), respectively. By age groups, the same duet was the most prevalent in patients aged 45-80 years and in men aged 25-44 years. In women aged 19-44, varicose veins of leg & anxiety disorder/anxiety was the most prevalent; in men aged 19-24, it was uncomplicated hypertension & obesity. Patients with multimorbidity showed a higher cardiovascular risk profile than the non-multimorbidity group.

CONCLUSIONS

More than 50 % percent of patients with multimorbidity had cardiovascular diseases, the most frequent being hypertension. The presence of cardiovascular risk factors and the cardiovascular risk profile were higher in the multimorbidity group than the non-multimorbidity group. Hypertension, diabetes and dyslipidaemia constituted the most prevalent multimorbidity pattern.

Beyond the Pap Smear: Gender-responsive HIV Care for Women

Women comprise nearly one-quarter of all people living with human immunodeficiency virus (HIV) in the U.S. and 20 percent of incident annual cases. Though women overall are more likely than men to be diagnosed with HIV and engage in care, they are as unlikely to successfully achieve viral suppression with antiretroviral therapy, suggesting gender-based disparities that should be addressed by gender-responsive policies and programs. Using the socioecological model of health and syndemics theory, we comprehensively reviewed published literature to evaluate reasons for and ways to address gender differences in HIV risk and treatment. We discuss the biologic, sociocultural, interpersonal, and behavioral contexts of HIV risk that affect women, comprehensive healthcare for women with HIV that includes pregnancy planning or prevention, and policy implications.

Association between body mass index and prevalence of multimorbidity: a cross-sectional study

OBJECTIVES

To explore the prevalence of multimorbidity in Serbia according to sex and body mass index (BMI) categories, and to examine the association between BMI and multimorbidity. In addition, this study examined the relationships between the main demographic and socio-economic characteristics of the population (age, settlement, education) and multimorbidity.

STUDY DESIGN

Secondary analysis of data from the 2013 Serbian National Health Survey.

METHODS

This study analyzed data from 13,103 participants aged ≥20 years with BMI data. The associations between BMI, age, education and multimorbidity were analyzed by multivariate logistic regression.

RESULTS

The overall prevalence of multimorbidity was higher than the overall prevalence of a single disease (26.9% vs 20.7%). The proportion of participants who reported two or more chronic diseases increased with each BMI category in both sexes, reaching the highest values in obese category III. Odds ratios (ORs) for the prevalence in all morbidity groups increased gradually with BMI category, and the highest OR values were found in obese category III. Males of obese category III were seven times more likely to have multimorbidity [OR 7.2, 95% confidence interval (CI) 4.2-12.6] than males of normal weight, whereas females of obese category III were nine and a half times more likely to have multimorbidity (OR 9.5, 95% CI 4.0-22.4) than females of normal weight. In the multivariable analysis, age (both sexes), low and middle level of education (males), and rural settlement and low level of education (females) were found to be predictors of multimorbidity.

CONCLUSIONS

This study found positive associations between obesity and multimorbidity and between overweight and multimorbidity. Recognizing these associations is of great importance from both clinical and public health perspectives because this could lead to an integrated approach for patients.

How do general practitioners recognize the definition of multimorbidity? A European qualitative study

BACKGROUND

Multimorbidity is a challenging concept for general practice. An EGPRN working group has published a comprehensive definition of the concept of multimorbidity. As multimorbidity could be a way to explore complexity in general practice, it was of importance to explore whether European general practitioners (GPs) recognize this concept and whether they would change it.

OBJECTIVES

To investigate whether European GPs recognize the EGPRN concept of multimorbidity and whether they would change it.

METHODS

Focus group meetings and semi-structured interviews as data collection techniques with a purposive sample of practicing GPs from every country. Data collection continued until saturation was reached in every country. The analysis was undertaken using a grounded theory based method. In each national team, four independent researchers, working blind and pooling data, carried out the analysis. To ensure the internationalization of the data, an international team of 10 researchers pooled the axial and selective coding of all national teams to check the concept and highlight emerging themes.

RESULTS

The maximal variation and saturation of the sample were reached in all countries with 211 selected GPs. The EGPRN definition was recognized in all countries. Two additional ideas emerged, the use of Wonca's core competencies of general practice, and the dynamics of the doctor-patient relationship for detecting and managing multimorbidity and patient's complexity.

CONCLUSION

European GPs recognized and enhanced the EGPRN concept of multimorbidity. These results open new perspectives regarding the management of complexity using the concept of multimorbidity in general practice. [Box: see text].

Prevalence and Patterns of Multi-Morbidity in Serbian Adults: A Cross-Sectional Study

INTRODUCTION

Like many developing countries, Serbia is facing a growing burden of chronic diseases. Within such public health issue, multi-morbidity requires a special attention.

AIMS

This study investigated the prevalence of multi-morbidity in the Serbia population and assessed the co-occurrence of chronic diseases by age and gender.

METHODS

We analyzed data from the 2013 National Health Survey, which included 13,103 individuals ≥ 20 years old. Multi-morbidity patterns were identified by exploratory factor analysis of data on self-reported chronic diseases, as well as data on measured body weight and height. The analysis was stratified by age and gender.

RESULTS

Multi-morbidity was present in nearly one-third of respondents (26.9%) and existed in all age groups, with the highest prevalence among individuals aged 65 years and older (47.2% of men and 65.0% of women). Six patterns of multi-morbidity were identified: non-communicable, cardio-metabolic, respiratory, cardiovascular, aggregate, and mechanical/mental/metabolic. The non-communicable pattern was observed in both genders but only in the 20-44 years age group, while the aggregate pattern occurred only in middle-aged men. Cardio-metabolic and respiratory patterns were present in all age groups. Cardiovascular and mechanical/mental/metabolic patterns showed similar presentation in both men and women.

CONCLUSIONS

Multi-morbidity is a common occurrence among adults in Serbia, especially in the elderly. While several patterns may be explained by underlying pathophysiologies, some require further investigation and follow-up. Recognizing the complexity of multi-morbidity in Serbia is of great importance from both clinical and preventive perspectives given that it affects one-third of the population and may require adjustment of the healthcare system to address the needs of affected individuals.

Multimorbidity: Epidemiology and Risk Factors in the Golestan Cohort Study, Iran: A Cross-Sectional Analysis

Advances in medicine and health policy have resulted in growing of older population, with a concurrent rise in multimorbidity, particularly in Iran, as a country transitioning to a western lifestyle, and in which the percent of the population over the age of 60 years is increasing. This study aims to assess multimorbidity and the associated risk factors in Iran. We used data from 50,045 participants (age 40-75 y) in the Golestan Cohort Study, including data on demographics, lifestyle habits, socioeconomic status, and anthropometric indices. Multimorbidity was defined as the presence of 2 or more out of 8 self-reported chronic conditions, including cardiovascular diseases, diabetes, chronic obstructive pulmonary disease, chronic kidney disease, liver disease, gastroesophageal reflux disease, tuberculosis, and cancer. Multivariate logistic regression models were used to examine the associations between multiple different factors and the risk factors. Multimorbidity prevalence was 19.4%, with the most common chronic diseases being gastroesophageal reflux disease (76.7%), cardiovascular diseases (72.7%), diabetes (25.3%), and chronic obstructive pulmonary disease (21.9%). The odds of multimorbidity was 2.56-fold higher at the age of >60 years compared with that at <50 years (P < 0.001), and 2.11-fold higher in women than in men (P < 0.001). Other factors associated with higher risk of multimorbidity included non-Turkmen ethnicity, low education, unemployment, low socioeconomic status, physical inactivity, overweight, obesity, former smoking, opium and alcohol use, and poor oral health. Apart from advanced age and female sex, the most important potentially modifiable lifestyle factors, including excess body weight and opium use, and opium user, are associated with multimorbidity. Policies aiming at controlling multimorbidity will require a multidimensional approach to reduce modifiable risk factors in the younger population in developing countries alongside adopting efficient strategies to improve life quality in the older population.

Multimorbidity Patterns in Elderly Primary Health Care Patients in a South Mediterranean European Region: A Cluster Analysis

OBJECTIVE

The purpose of this study was to identify clusters of diagnoses in elderly patients with multimorbidity, attended in primary care.

DESIGN

Cross-sectional study.

SETTING

251 primary care centres in Catalonia, Spain.

PARTICIPANTS

Individuals older than 64 years registered with participating practices.

MAIN OUTCOME MEASURES

Multimorbidity, defined as the coexistence of 2 or more ICD-10 disease categories in the electronic health record. Using hierarchical cluster analysis, multimorbidity clusters were identified by sex and age group (65-79 and ≥80 years).

RESULTS

322,328 patients with multimorbidity were included in the analysis (mean age, 75.4 years [Standard deviation, SD: 7.4], 57.4% women; mean of 7.9 diagnoses [SD: 3.9]). For both men and women, the first cluster in both age groups included the same two diagnoses: Hypertensive diseases and Metabolic disorders. The second cluster contained three diagnoses of the musculoskeletal system in the 65- to 79-year-old group, and five diseases coincided in the ≥80 age group: varicose veins of the lower limbs, senile cataract, dorsalgia, functional intestinal disorders and shoulder lesions. The greatest overlap (54.5%) between the three most common diagnoses was observed in women aged 65-79 years.

CONCLUSION

This cluster analysis of elderly primary care patients with multimorbidity, revealed a single cluster of circulatory-metabolic diseases that were the most prevalent in both age groups and sex, and a cluster of second-most prevalent diagnoses that included musculoskeletal diseases. Clusters unknown to date have been identified. The clusters identified should be considered when developing clinical guidance for this population.

[Detection and prevalence of alcohol use disorders in primary health care in Catalonia]

Objetivo

Describir el grado de reconocimiento del trastorno por uso de alcohol (TUA) y dependencia de alcohol por los médicos de atención primaria (MAP) y determinar su prevalencia.

Diseño

Estudio transversal.

Emplazamiento

Veinte centros de atención primaria de Cataluña.

Participantes y mediciones

Se encuestó a 23 MAP seleccionados al azar acerca del consumo de alcohol y otras enfermedades de sus pacientes. Se entrevistó y evaluó a 1.372 pacientes con la Composite International Diagnostic Interview (CIDI) para determinar el diagnóstico de TUA en el último año, y otros cuestionarios (el K10, de cribado, y el World Health Organization Disability Assessment Schedule 2.0) para evaluar la discapacidad y la salud mental.

Resultados

La CIDI diagnosticó TUA en un 9,6% del total de la muestra. Los MAP detectaron un 4,8% de TUA. La CIDI detectó mayor proporción de casos entre las edades más jóvenes, y el MAP detectó mayor porcentaje de TUA y dependencia de alcohol en personas de mayor edad y con enfermedades concomitantes. Los MAP identificaron el 28,8% de los casos diagnosticados de TUA por la CIDI. El 42,4% de los pacientes diagnosticados por el MAP no fueron identificados por la CIDI. Al utilizar como criterio diagnóstico indistintamente la CIDI o la impresión clínica del MAP, la prevalencia de TUA en atención primaria se situó en el 11,7%, y la de dependencia de alcohol, en el 8,6%.

Conclusiones

Los MAP reconocen poco el TUA en gente joven, mientras que detectan más la enfermedad en pacientes de mayor edad y con comorbilidades asociadas. La prevalencia de TUA es elevada en atención primaria.

What research agenda could be generated from the European General Practice Research Network concept of Multimorbidity in Family Practice?

Background

Multimorbidity is an intuitively appealing, yet challenging, concept for Family Medicine (FM). An EGPRN working group has published a comprehensive definition of the concept based on a systematic review of the literature which is closely linked to patient complexity and to the biopsychosocial model. This concept was identified by European Family Physicians (FPs) throughout Europe using 13 qualitative surveys. To further our understanding of the issues around multimorbidity, we needed to do innovative research to clarify this concept. The research question for this survey was: what research agenda could be generated for Family Medicine from the EGPRN concept of Multimorbidity?

Methods

Nominal group design with a purposive panel of experts in the field of multimorbidity. The nominal group worked through four phases: ideas generation phase, ideas recording phase, evaluation and analysis phase and a prioritization phase.

Results

Fifteen international experts participated. A research agenda was established, featuring 6 topics and 11 themes with their corresponding study designs. The highest priorities were given to the following topics: measuring multimorbidity and the impact of multimorbidity. In addition the experts stressed that the concept should be simplified. This would be best achieved by working in reverse: starting with the outcomes and working back to find the useful variables within the concept.

Conclusion

The highest priority for future research on multimorbidity should be given to measuring multimorbidity and to simplifying the EGPRN model, using a pragmatic approach to determine the useful variables within the concept from its outcomes.

Multimorbidity and its social determinants among older people in southern provinces, Vietnam

BACKGROUND

Developing countries are poorly equipped for health issues related to ageing populations making multimorbidity challenging. As in Vietnam the focus tends to be on single conditions. Hence little is known about burden of multimorbidity. This study aimed to examine the prevalence and the determinants of multimorbidity among older people in Southern Vietnam.

METHODS

A cross-sectional study was conducted in two provinces of Southern Vietnam with a sample of 2400 people aged 60 years and older. The presence of chronic disease was ascertained by medical examination done by physicians at commune health stations. Information on social and demographic factors was collected using structured questionnaire. Univariate and multivariable logistic regression analyses were used to examine the factors associated with multimorbidity.

RESULTS

Nearly 40 % of older people had multimorbidity. Currently not working, and healthcare utilisation were associated with higher prevalence of multimorbidity. Living in urban areas and being literate were associated with lower prevalence of multimorbidity.

CONCLUSION

The study found a high burden of multimorbidity among illiterate, especially those living in rural areas. This highlights the need for targeted community based programs aimed at reducing the burden of chronic disease.

Prevalence and structure of multiple chronic conditions in Lithuanian population and the distribution of the associated healthcare resources

BACKGROUND

Chronic multiple conditions have become a major threat to the world's healthcare systems within the last years.

OBJECTIVE

To estimate the prevalence and structure of chronic conditions in Lithuania and to analyse the utilisation of healthcare resources striving to manage patients with multimorbidity.

METHODS

It was based on the National Health Insurance Fund (NHIF) database, that covered the period from January, 2012 to June, 2014 and included 452,769 subjects. The prevalence of multimorbidity in Lithuania, the structure of chronic diseases within the age and gender groups as well as the association between multimorbidity and facilities usage were analysed.

RESULTS

The prevalence of chronic diseases in adult Lithuanian population was 17.2%, where 94.6% (N=428 430) of the chronically diseased subjects had >1 chronic condition. The number of chronic conditions increased with the age, especially at the age of 45-54 years, and male gender (p<0.001). 10% of patients had at least 2 chronic diseases at the age of 45 and over. Multimorbidity accounted for 258,761 additional bed days per year nationally and 61% increase in the 30-day readmission rate. Primary care and outpatient visits per 1000 population were 2.1 times more prevalent and home visits were 9.6 times more frequent in multimorbid patients compared to a single chronic disease.

CONCLUSIONS

Multimorbidity and its increasing prevalence among the younger patients will put additional strain on healthcare resources at an earlier stage by increasing admission, readmission rates and vastly increasing primary care contacts.

Clinical and lifestyle-related risk factors for incident multimorbidity: 10-year follow-up of Finnish population-based cohorts 1982-2012

BACKGROUND

Multimorbidity is a huge burden to individuals and societies and more attention should be paid on its risk factors and prevention possibilities. The aim of this study was to investigate which clinical and lifestyle characteristics predict the development of multimorbidity both among initially disease-free people and among people who have diabetes or CVD.

METHODS

Data comprised 25-64 year old, randomly selected men and women (n=32,972) who participated in one of the five national FINRISK surveys between 1982 and 2002 in Finland. The surveys included anthropometric measurements, blood samples and structured questionnaire. Data on incident diagnoses of the five most common chronic diseases during 10 years were received from the national registers on mortality, hospitalizations, and reimbursement rights.

RESULTS

Predisposing factors for multimorbidity among disease-free population were smoking, physical inactivity, and BMI. Among men also systolic blood pressure and low education predicted multimorbidity. Among men with DM at baseline, high blood pressure, physical inactivity, and smoking increased the likelihood of incident multimorbidity. Among women, significant predictors of multimorbidity were high BMI and smoking. Among men and women with CVD, the only baseline factor that was significantly associated with the development of multimorbidity in the multivariate prediction model was low fruit and vegetable consumption.

CONCLUSION

Several modifiable clinical and lifestyle risk factors were found to predict incident multimorbidity. Better recognition and management of these risk factors could potentially have a large impact on the development of multimorbidity, and consequently, premature mortality and costs of care among the aging populations.

[A way of helping "Mr. Minotaur" and "Ms. Ariadne" to exit from the multiple morbidity labyrinth: the "master problems"]

Multiple morbidity seems to be "infinite" and so is not easy to make useful decisions. A new concept is introduced: the "master problems", as a qualitative method to facilitate the exit from this maze of multiple morbidity. Metaphors from the art world have been used to teach this concept. These "master problems" generally remain hidden and can only "unravel" between the interstices of multiple morbidity, when the details of the system that defines the problem are explained. A problem with "energy" or a "master problem" is complex, multiple and dramatic or theatrical--everything in the clinical history history make us look into that particular question. It is what gives us a blow to the stomach, which causes our hearts to beat faster, that moves us on many levels, which has a high "density of emotions", human elements, social symbols, and opens solutions in a patient.

Primary care utilization among patients with influenza during the 2009 pandemic. Does risk for severe influenza disease or prior contact with the general practitioner have any influence?

BACKGROUND

Little is known about how patients belonging to risk groups for influenza used the primary care system during the influenza pandemic.

AIMS

To investigate the use of general practice and out-of-hours (OOH) services in patients with influenza-like illness (ILI) according to (i) risk for severe influenza disease and (ii) the number of regular general practitioner (GP) visits before the pandemic.

METHOD

Observational study of all ILI patients during the 2009 pandemic. Data were recorded prospectively and collected after the pandemic. Patients at risk were identified during an 18-month period by diagnoses from GPs' billing claims. Associations between risk factors for severe influenza disease and utilization of primary care were analysed using bivariate and multivariate regression analyses. Similar analyses were used for the association between number of GP visits before the pandemic and the primary care utilization during the pandemic.

RESULTS

ILI patients who were pregnant [odds ratio (OR) 1.70; 95% confidence interval (CI) 1.52, 1.89], had diabetes (OR 1.68; 95% CI 1.49, 1.89) or chronic lung disease (OR 1.44; 95 CI 1.34, 1.55) had increased risk of attending OOH services compared with patients with no risk factor. ILI patients with at least one GP visit prior to the pandemic used OOH services less during the pandemic compared with those with no GP visit.

CONCLUSION

An increased use of OOH services was found in ILI patients who were pregnant, with diabetes or with chronic lung disease. Having visited the GP before the pandemic was associated with less use of OOH services among ILI patients.

Association of self-rated health with multimorbidity, chronic disease and psychosocial factors in a large middle-aged and older cohort from general practice: a cross-sectional study

BACKGROUND

The prevalence of coexisting chronic conditions (multimorbidity) is rising. Disease labels, however, give little information about impact on subjective health and personal illness experience. We aim to examine the strength of association of single and multimorbid physical chronic diseases with self-rated health in a middle-aged and older population in England, and to determine whether any association is mediated by depression and other psychosocial factors.

METHODS

25 268 individuals aged 39 to 79 years recruited from general practice registers in the European Prospective Investigation of Cancer (EPIC-Norfolk) study, completed a survey including self-rated health, psychosocial function and presence of common physical chronic conditions (cancer, stroke, heart attack, diabetes, asthma/bronchitis and arthritis). Logistic regression models determined odds of "moderate/poor" compared to "good/excellent" health by condition and number of conditions adjusting for psychosocial measures.

RESULTS

One-third (8252) reported one, around 7.5% (1899) two, and around 1% (194) three or more conditions. Odds of "moderate/poor" self-rated health worsened with increasing number of conditions (one (OR = 1.3(1.2-1.4)) versus three or more (OR = 3.4(2.3-5.1)), and were highest where there was comorbidity with stroke (OR = 8.7(4.6-16.7)) or heart attack (OR = 8.5(5.3-13.6)). Psychosocial measures did not explain the association between chronic diseases and multimorbidity with self-rated health.The relationship of multimorbidity with self-rated health was particularly strong in men compared to women (three or more conditions: men (OR = 5.2(3.0-8.9)), women OR = 2.1(1.1-3.9)).

CONCLUSIONS

Self-rated health provides a simple, integrative patient-centred assessment for evaluation of illness in the context of multiple chronic disease diagnoses. Those registering in general practice in particular men with three or more diseases or those with cardiovascular comorbidities and with poorer self-rated health may warrant further assessment and intervention to improve their physical and subjective health.

Age and gender differences in the prevalence and patterns of multimorbidity in the older population

Background

The coexistence of several chronic diseases in one same individual, known as multimorbidity, is an important challenge facing health care systems in developed countries. Recent studies have revealed the existence of multimorbidity patterns clustering systematically associated distinct clinical entities. We sought to describe age and gender differences in the prevalence and patterns of multimorbidity in men and women over 65 years.

Methods

Observational retrospective multicentre study based on diagnostic information gathered from electronic medical records of 19 primary care centres in Aragon and Catalonia. Multimorbidity patterns were identified through exploratory factor analysis. We performed a descriptive analysis of previously obtained patterns (i.e. cardiometabolic (CM), mechanical (MEC) and psychogeriatric (PG)) and the diseases included in the patterns stratifying by sex and age group.

Results

67.5% of the aged population suffered two or more chronic diseases. 32.2% of men and 45.3% of women were assigned to at least one specific pattern of multimorbidity, and 4.6% of men and 8% of women presented more than one pattern simultaneously. Among women over 65 years the most frequent pattern was the MEC pattern (33.3%), whereas among men it was the CM pattern (21.2%). While the prevalence of the CM and MEC patterns decreased with age, the PG pattern showed a higher prevalence in the older age groups.

Conclusions

Significant gender differences were observed in the prevalence of multimorbidity patterns, women showing a higher prevalence of the MEC and PG patterns, as well as a higher degree of pattern overlapping, probably due to a higher life expectancy and/or worse health. Future studies on multimorbidity patterns should take into account these differences and, therefore, the study of multimorbidity and its impact should be stratified by age and sex.