Mapping of global scientific research in comorbidity and multimorbidity: A cross-sectional analysis

Predicting Multimorbidity Using Saudi Health Indicators (Sharik) Nationwide Data: Statistical and Machine Learning Approach

The Saudi population is at high risk of multimorbidity. The risk of these morbidities can be reduced by identifying common modifiable behavioural risk factors. This study uses statistical and machine learning methods to predict factors for multimorbidity in the Saudi population. Data from 23,098 Saudi residents were extracted from the "Sharik" Health Indicators Surveillance System 2021. Participants were asked about their demographics and health indicators. Binary logistic models were used to determine predictors of multimorbidity. A backpropagation neural network model was further run using the predictors from the logistic regression model. Accuracy measures were checked using training, validation, and testing data. Females and smokers had the highest likelihood of experiencing multimorbidity. Age and fruit consumption also played a significant role in predicting multimorbidity. Regarding model accuracy, both logistic regression and backpropagation algorithms yielded comparable outcomes. The backpropagation method (accuracy 80.7%) was more accurate than the logistic regression model (77%). Machine learning algorithms can be used to predict multimorbidity among adults, particularly in the Middle East region. Different testing methods later validated the common predicting factors identified in this study. These factors are helpful and can be translated by policymakers to consider improvements in the public health domain.

Including mental health care in a model of European health system

The management of a health system is a matter of economics and business administration because of the costs induced by goods and services delivered. Economics teaches us that the positive effects induced by competition in free markets cannot be expected in health care, which is a classic example of market failure from both demand and supply sides. The most sensible key concepts to refer for managing a health system are funding and provision. While the logical solution for the first variable is universal coverage through general taxation, the second one requires a deeper understanding. Integrated care is the modern approach that better supports the choice in favour of the public sector also for service provision. A major threat against this approach is dual practice legally allowed for health professionals, which inevitably raises financial conflicts of interest. An exclusive contract of employment for civil servants should be the sine qua non for providing public services effectively and efficiently. Integrated care is particularly important for long-term chronic illnesses associated with high levels of disability, such as neurodegenerative diseases and mental disorders, where the mix of health and social services needed can be very complex. Nowadays the growing number of community-dwelling patients with multiple physical and mental health needs is the major challenge for the European health systems. This happens also in public health systems, which should provide universal health coverage in principle, and the case of mental disorders is striking. In the light of this theoretical exercise, we strongly believe that a public National Health and Social Service should be the most indicated model for both funding and providing health and social care in modern societies. The big challenge of the common model of European health system here envisaged would be to limit the negative influences of politics and bureaucracy.

Association between multiple chronic conditions and insufficient health literacy: cross-sectional evidence from a population-based sample of older adults living in Switzerland

BACKGROUND

Health literacy is the ability to find, understand, assess, and apply health information. Individuals suffering from multiple chronic conditions have complex healthcare needs that may challenge their health literacy skills. This study aimed to investigate the relationship between multimorbidity, the number of chronic conditions, and health literacy levels in a sample of adults aged 58+ in Switzerland.

METHODS

We used data from 1,615 respondents to a paper-and-pencil questionnaire administered as part of wave 8 (2019/2020) of the Survey of Health, Ageing and Retirement in Europe (SHARE) in Switzerland. Health literacy was measured using the short version of the European Health Literacy Survey questionnaire. The final score ranged from 0 to 16 and was categorised into three health literacy levels: inadequate (0-8), problematic (9-12), and sufficient (13-16). The number of chronic conditions was self-reported based on a pre-defined list. Associations were examined using multivariable ordinary least squares and ordered probit regression models, controlling for key socio-demographic characteristics.

RESULTS

Overall, 63.5% of respondents reported having at least one chronic condition. Respondents who reported one, two, and three or more chronic conditions were more likely to have lower health literacy scores compared to respondents who did not report any chronic condition (p<0.05, p<0.01, and p<0.001, respectively). Suffering from two and three or more chronic conditions (vs. no chronic condition) was significantly associated with a higher likelihood of having inadequate or problematic health literacy levels (both p-values <0.01).

CONCLUSIONS

Our findings suggest a need to improve health literacy in older adults suffering from chronic conditions. Improved health literacy could constitute a promising lever to empower individuals to better self-manage their health to ultimately reduce the double burden of chronic diseases and insufficient health literacy in this vulnerable population.

Effects of goal-oriented care for adults with multimorbidity: A systematic review and meta-analysis

OBJECTIVE

To systematically review the evidence from randomized controlled trials comparing the effects of goal-oriented care against standard care for multimorbid adults.

DATA SOURCES/STUDY SETTING

The literature presenting the results of randomized trials assessing the outcomes of goal-oriented care compared with usual care for adults with multimorbidity.

STUDY DESIGN

Systematic review and meta-analysis.

DATA COLLECTION/EXTRACTION METHODS

We searched the Cochrane Database of Systematic Reviews (CENTRAL), EMBASE, MEDLINE, CINHAL, trial registries such as ClinicalTrial.gov and World Health Organization International Clinical Trials Registry Platform (ICTRP), and the references of eligible trials and relevant reviews. Goal-oriented care was defined as an approach that engages patients, establishes personal goals, and sets targets for patients and clinicians to plan a course of action and measure outcome. We reviewed 228 trials, and 12 were included. We extracted outcome data on quality of life, hospital admission, patients' satisfaction, patient and caregiver burden. Risk of bias was assessed and certainty of evidence was evaluated using GRADE.

PRINCIPAL FINDINGS

No study was fully free of bias. No effect was found on quality of life (standardized mean difference [SMD]: 0.05; 95% CI: -0.05 to 0.16) and hospital admission (risk ratio [RR]: 0.87; 95% CI: 0.65 to 1.17). There was a very small effect for patients' satisfaction (SMD: 0.15; 95% CI: 0.00 to 0.29) and caregiver burden (SMD: -0.13; 95% CI: -0.26 to 0.00). Certainty of evidence was low for all outcomes.

CONCLUSIONS

No firm conclusions can be reached about the effects of goal-oriented care for multimorbid adults. Future research should overcome the shortcomings of trials assessed in this meta-analysis. Sound application of the indications for research of complex healthcare interventions is warranted.

Science maps for exploration, navigation, and reflection-A graphic approach to strategic thinking

The world of science is growing at an unprecedented speed with more and more scholarly papers produced each year. The scientific landscape is constantly changing as research specialties evolve, merge or become obsolete. It is difficult for researchers, research managers and the public alike to keep abreast with these changes and maintain a true and fair overview of the world of science. Such an overview is necessary to stimulate scientific progress, to maintain flexible and responsive research organizations, and to secure collaboration and knowledge exchange between different research specialties and the wider community. Although science mapping is applied to a wide range of scientific areas, examples of their practical use are sparse. This paper demonstrates how to use a topical, scientific reference maps to understand and navigate in dynamic research landscapes and how to utilize science maps to facilitate strategic thinking. In this study, the research domain of biology at Aarhus University serves as an example. All scientific papers authored by the current, permanent staff were extracted (6,830 in total). These papers were used to create a semantic cognitive map of the research field using a co-word analysis based on keywords and keyword phrases. A workflow was written in Python for easy and fast retrieval of information for topic maps (including tokens from keywords section and title) to generate intelligible research maps, and to visualize the distribution of topics (keywords), papers, journal categories, individual researchers and research groups on any scale. The resulting projections revealed new insights into the structure of the research community and made it possible to compare researchers or research groups to describe differences and similarities, to find scientific overlaps or gaps, and to understand how they relate and connect. Science mapping can be used for intended (top-down) as well as emergent (bottom-up) strategy development. The paper concludes that science maps provide alternative views of the intricate structures of science to supplement traditional bibliometric information. These insights may help strengthen strategic thinking and boost creativity and thus contribute to the progress of science.

Multimorbidity patterns of chronic conditions and geriatric syndromes in older patients from the MoPIM multicentre cohort study

OBJECTIVES

To estimate the frequency of chronic conditions and geriatric syndromes in older patients admitted to hospital because of an exacerbation of their chronic conditions, and to identify multimorbidity clusters in these patients.

DESIGN

Multicentre, prospective cohort study.

SETTING

Internal medicine or geriatric services of five general teaching hospitals in Spain.

PARTICIPANTS

740 patients aged 65 and older, hospitalised because of an exacerbation of their chronic conditions between September 2016 and December 2018.

PRIMARY AND SECONDARY OUTCOME MEASURES

Active chronic conditions and geriatric syndromes (including risk factors) of the patient, a score about clinical management of chronic conditions during admission, and destination at discharge were collected, among other variables. Multimorbidity patterns were identified using fuzzy c-means cluster analysis, taking into account the clinical management score. Prevalence, observed/expected ratio and exclusivity of each chronic condition and geriatric syndrome were calculated for each cluster, and the final solution was approved after clinical revision and discussion among the research team.

RESULTS

740 patients were included (mean age 84.12 years, SD 7.01; 53.24% female). Almost all patients had two or more chronic conditions (98.65%; 95% CI 98.23% to 99.07%), the most frequent were hypertension (81.49%, 95% CI 78.53% to 84.12%) and heart failure (59.86%, 95% CI 56.29% to 63.34%). The most prevalent geriatric syndrome was polypharmacy (79.86%, 95% CI 76.82% to 82.60%). Four statistically and clinically significant multimorbidity clusters were identified: osteoarticular, psychogeriatric, cardiorespiratory and minor chronic disease. Patient-level variables such as sex, Barthel Index, number of chronic conditions or geriatric syndromes, chronic disease exacerbation 3 months prior to admission or destination at discharge differed between clusters.

CONCLUSIONS

In older patients admitted to hospital because of the exacerbation of chronic health problems, it is possible to define multimorbidity clusters using soft clustering techniques. These clusters are clinically relevant and could be the basis to reorganise healthcare circuits or processes to tackle the increasing number of older, multimorbid patients.

TRIAL REGISTRATION NUMBER

NCT02830425.

Complex Multimorbidity and Incidence of Long-Term Care Needs in Japan: A Prospective Cohort Study

Complex multimorbidity (CMM) has been proposed as a more nuanced concept of multimorbidity (MM). We sought to quantify the association of CMM and MM on the incidence of long-term care (LTC) needs in a cohort of older Japanese people. Our follow-up was based on a nationwide longitudinal cohort study of people aged over 65 years who were functionally dependent at baseline. Our outcome was incident LTC needs, based on certification under the Japanese LTC insurance scheme. We used both propensity score matching and inverse probability of treatment weights (IPTW) to compare individuals with and without MM versus CMM. A total of 38,889 older adults were included: 20,233 (52.0%) and 7565 (19.5%) adults with MM and CMM, respectively. In propensity-matched analyses, both MM (n = 15,666 pairs) and CMM (n = 7524 pairs) were statistically significantly associated with the six-year LTC insurance certification rate (MM, hazard ratio (HR) 1.07, 95% confidence interval (95%CI) 1.02–1.12; CMM, HR 1.10, 95%CI 1.04–1.16). Both MM and CMM were associated with a modest but statistically significantly higher rate of LTC insurance certification. These findings support the inclusion of multimorbidity in the assessment of LTC insurance needs, although the Japanese government currently has not adopted this.

Examine the association between key determinants identified by the chronic disease indicator framework and multimorbidity by rural and urban settings

Background

Multimorbidity, often defined as having two or more chronic conditions is a global phenomenon. This study examined the association between key determinants identified by the chronic disease indicator framework and multimorbidity by rural and urban settings. The prevalence of individual diseases was also investigated by age and sex.

Methods

The Canada Community Health Survey and linked health administrative databases were used to examine the association between multimorbidity, sociodemographic, behavioral, and other risk factors in the province of Ontario. A multivariable logistic regression model was used to conduct the main analysis.

Results

Analyses were stratified by age (20-64 and 65-95) and area of residence (rural and urban). A total sample of n = 174,938 residents between the ages of 20-95 were examined in the Ontario province, of which 18.2% (n = 31,896) were multimorbid with 2 chronic conditions, and 23.4% (n = 40,883) with 3+ chronic conditions. Females had a higher prevalence of 2 conditions (17.9% versus 14.6%) and 3+ conditions (19.7% vs. 15.6%) relative to males. Out of all examined variables, poor self-perception of health, age, Body Mass Index, and income were most significantly associated with multimorbidity. Smoking was a significant risk factor in urban settings but not rural, while drinking was significant in rural and not urban settings. Income inequality was associated with multimorbidity with greater magnitude in rural areas. Prevalence of multimorbidity and having three or more chronic conditions were highest among low-income populations.

Conclusion

Interventions targeting population weight, age/sex specific disease burdens, and additional focus on stable income are encouraged.

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.

Prevalence and associated socioeconomic factors of multimorbidity in 10 regions of China: an analysis of 0.5 million adults

BACKGROUND

The epidemiology of multiple chronic conditions in China is poorly understood. We investigated the prevalence of multimorbidity among the middle-aged and elderly population in China and analyzed its demographic and socioeconomic correlates.

METHODS

Data were obtained from the baseline of the China Kadoorie Biobank Study, which recruited over 0.5 million participants between 2004 and 2008. We calculated the prevalence by the characteristics of multimorbidity. The demographic and socioeconomic correlates were analyzed using a multivariable logistic regression model.

RESULTS

15.9% of the participants were multimorbid. Although the prevalence of multimorbidity increased with age, the absolute number of people with multimorbidity was much higher among middle-aged adults (30-60 years, n = 42 041) than the elderly group (>60 years, n = 38 834). The odd of multimorbidity was higher in males (aOR =1.09, 95% CI: 1.07-1.11) and among those who were unemployed (aOR = 1.58, 95% CI: 1.55-1.62). Those who received the highest level of education were most likely to be multimorbid compared with those with no education (aOR = 1.14, 95% CI: 1.09-1.19). Such an association was similar when treating multimorbidity as multinomial variable.

CONCLUSIONS

Multimorbidity is a public health concern, with higher prevalence among the elderly, males and those who belong to a lower socioeconomic stratum. Actions are needed to curb multimorbidity epidemic in China.

Health literacy profiles of adults with multiple chronic diseases: A cross-sectional study using the Health Literacy Questionnaire

Health literacy is multidimensional, comprising functional, communicative, and critical thinking dimensions. Understanding health literacy is crucial for clinicians to develop effective health education strategies. In this study, we examined the multiple dimensions of health literacy in Vietnamese adults with chronic comorbidities. A cross-sectional sample of 600 patients, aged ≥18 years with a diagnosis of at least two chronic diseases (cardiovascular conditions, chronic kidney disease, or diabetes), completed the Health Literacy Questionnaire, an instrument assessing nine distinct domains. Descriptive and parametric tests were performed to analyze the health literacy levels for various demographic characteristics. Generalized linear models using backward modelling explored factors associated with higher health literacy. The lowest scoring domains were "Healthcare provider support" and "Appraisal of health information." In multivariate models greater health literacy was associated with those <65 years, having a postsecondary degree or higher level of education, greater income, urban residence, being cared for by spouses/children, and having fewer comorbidities. To improve health literacy, clinicians in primary and acute healthcare settings should build supportive relationships with patients and assist them with understanding and appraising health information.

Prevalence, characteristics, and patterns of patients with multimorbidity in primary care: a retrospective cohort analysis in Canada

BACKGROUND

Multimorbidity is a complex issue in modern medicine and a more nuanced understanding of how this phenomenon occurs over time is needed.

AIM

To determine the prevalence, characteristics, and patterns of patients living with multimorbidity, specifically the unique combinations (unordered patterns) and unique permutations (ordered patterns) of multimorbidity in primary care.

DESIGN AND SETTING

A retrospective cohort analysis of the prospectively collected data from 1990 to 2013 from the Canadian Primary Care Sentinel Surveillance Network electronic medical record database.

METHOD

Adult primary care patients who were aged ≥18 years at their first recorded encounter were followed over time. A list of 20 chronic condition categories was used to detect multimorbidity. Computational analyses were conducted using the Multimorbidity Cluster Analysis Tool to identify all combinations and permutations.

RESULTS

Multimorbidity, defined as two or more and three or more chronic conditions, was prevalent among adult primary care patients and most of these patients were aged <65 years. Among female patients with two or more chronic conditions, 6075 combinations and 14 891 permutations were detected. Among male patients with three or more chronic conditions, 4296 combinations and 9716 permutations were detected. While specific patterns were identified, combinations and permutations became increasingly rare as the total number of chronic conditions and patient age increased.

CONCLUSION

This research confirms that multimorbidity is common in primary care and provides empirical evidence that clinical management requires a tailored, patient-centred approach. While the prevalence of multimorbidity was found to increase with increasing patient age, the largest proportion of patients with multimorbidity in this study were aged <65 years.

Reporting guidelines for health research: protocol for a cross-sectional analysis of the EQUATOR Network Library

INTRODUCTION

Transparency and completeness of health research is highly variable, with important deficiencies in the reporting of methods and results of studies. Reporting guidelines aim to improve transparency and quality of research reports, and are often developed by consortia of journal editors, peer reviewers, authors, consumers and other key stakeholders. The objective of this study will be to investigate the characteristics of scientific collaboration among developers and the citation metrics of reporting guidelines of health research.

METHODS AND ANALYSIS

This is the study protocol for a cross-sectional analysis of completed reporting guidelines indexed in the Enhancing the QUAlity and Transparency Of health Research Network Library. We will search PubMed/MEDLINE and the Web of Science. Screening, selection and data abstraction will be conducted by one researcher and verified by a second researcher. Potential discrepancies will be resolved via discussion. We will include published papers of reporting guidelines written in English. Published papers will have to meet the definition of a reporting guideline related to health research (eg, a checklist, flow diagram or explicit text), with no restrictions by study design, medical specialty, disease or condition. Raw data from each included paper (including title, publication year, journal, subject category, keywords, citations, and the authors' names, author's affiliated institution and country) will be exported from the Web of Science. Descriptive analyses will be conducted (including the number of papers, citations, authors, countries, journals, keywords and main collaboration metrics). We will identify the most prolific authors, institutions, countries, journals and the most cited papers. Network analyses will be carried out to study the structure of collaborations.

ETHICS AND DISSEMINATION

No ethical approval will be required. Findings from this study will be published in peer-reviewed journals. All data will be deposited in a cross-disciplinary public repository. It is anticipated the study findings could be relevant to a variety of audiences.

Prevalence and comorbidity of attention deficit hyperactivity disorder in Spain: study protocol for extending a systematic review with updated meta-analysis of observational studies

BACKGROUND

Attention deficit hyperactivity disorder (ADHD) is a childhood-onset disorder characterized by a persistent pattern of symptoms of developmentally inappropriate and impaired inattention and/or hyperactivity/impulsivity, with difficulties often continuing into adulthood. ADHD can come with other comorbid conditions. The aim of this study will be to quantify the prevalence and comorbidity of ADHD among children, adolescent, and adult population in Spain.

METHODS/DESIGN

We designed and registered a study protocol for an update and expansion of a systematic review and meta-analysis of pooled prevalence data. We will include cross-sectional observational studies reporting prevalence of ADHD in Spain and conducted in the general population, outpatient, and/or school settings. The primary outcome will be the prevalence of ADHD. Secondary outcomes will be the prevalence of any physical or mental comorbidity in association with ADHD. No limitations will be imposed on publication status, study conduct period, and language of dissemination. Comprehensive literature searches will be conducted in multiple electronic databases, including PubMed/MEDLINE, EMBASE, Scopus, Web of Science, PsycINFO, IME - Spanish Medical Index, and IBECS - Spanish Bibliographic Index of Health Sciences. We will also search Google Scholar, dissertation databases, and conference abstracts. Two team members will independently screen all citations, full-text articles, and abstract data. Potential conflicts will be resolved through discussion. The methodological quality (or risk of bias) of individual studies will be appraised using an appropriate tool. If feasible, we will conduct random effects meta-analysis. Prevalence estimates will be stratified according to gender, age, and geographical location. Additional analyses will be conducted to explore the potential sources of heterogeneity (e.g., methodological quality, sample size, diagnostic criteria).

DISCUSSION

This systematic review and meta-analysis of observational data will provide an updated synthesis of the prevalence and comorbidity of ADHD in Spain. This study will also examine factors that may explain potential variations in prevalence data. The findings of this study will be published in a peer-reviewed journal.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO CRD42018106082 .

Chronic obstructive pulmonary disease and rheumatic diseases: A systematic review on a neglected comorbidity

Background:

Although, both chronic obstructive pulmonary disease (COPD) and rheumatic diseases (RDs) are common, and each has significant impact on patients’ overall health/quality of life, their co-occurrence has received little attention, while 15% of COPD remains undiagnosed in RDs.

Objective:

To update the information regarding the comorbid state of RD/COPD (prevalence, incidence), to examine whether patients with RD have increased risk of developing COPD and vice versa, and what implications this comorbidity has on patients’ outcomes (mortality, hospitalizations, exacerbations).

Methods:

We performed a systematic literature review regarding the comorbidity of an RD (rheumatoid arthritis (RA), ankylosing spondylitis (AS), psoriatic arthritis (PsA), systemic lupus erythematosus (SLE), primary Sjogren syndrome disease (pSS), and systemic sclerosis (SSc)) with COPD. From 2803 reports retrieved, 33 articles were further screened. Finally, 27 articles were included.

Results:

Robust evidence supports that COPD develops up to 68% more frequently in patients with RA, as compared to the general population. Similarly, COPD is increased in every other RD that was studied. Further, self-referred arthritis is more common in COPD patients versus non-COPD controls and a predictor of worst self-rated health status. Patients with inflammatory arthritis/COPD have increased mortality (threefold in RA-COPD, irrespectively of which is first diagnosed), hospitalizations, and emergency visits.

Conclusion:

COPD is more common in patients with RA, AS, PsA, SLE, pSS, and SSc; yet, the association, vice versa, warrants further investigation. Nevertheless, COPD/RDs coexistence has significant prognostic value for worst outcomes; therefore, awareness is required to track early identification, especially in primary care.