Multimorbidity of chronic non-communicable diseases and its models of care in low- and middle-income countries: a scoping review protocol

Multimorbidity and its associated risk factors among adults in northern Sudan: a community-based cross-sectional study

BACKGROUND

Multimorbidity (having two or more coexisting long-term conditions) is a growing global challenge. However, data on multimorbidity among adults in Africa, including Sudan, are scarce. Thus, this study aimed to investigate the prevalence of multimorbidity and its associated risk factors among adults in Sudan.

METHODS

A community-based cross-sectional study was conducted in northern Sudan from March 2022 to May 2022. Participants' sociodemographic characteristics were assessed using a questionnaire. Multimorbidity was defined as having two or more coexisting long-term conditions, including diabetes mellitus (DM), hypertension, obesity, anaemia and depression-anxiety. Multivariate logistic regression analyses were performed to determine the associated factors.

RESULTS

The participants included 250 adults: 119 (47.6%) males and 131(52.4%) females. The median interquartile range (IQR) of the enrolled adults of the age was 43.0 (30.0‒55.0) years. Of the 250 adults, 82(32.8%), 17(6.8%), 84(33.6%), and 67(26.8%) were normal weight, underweight, overweight, and obese, respectively; 148(59.2%), 72(28.8%), 63(25.2%), 67(26.8%), and 98(39.2%) had hypertension, DM, anaemia, obesity, and depression-anxiety, respectively. A total of 154 adults (61.6%) had multimorbidity: 97(38.8%), 49(19.6%), and 8(3.2%) had two, three, and four morbidities, respectively. The remaining 21 (8.4%), and 75 (30.0%) adults had no morbidity, and one morbidity, respectively. In amultivariate logistic regression analysis, increasing age (adjusted odd ratio [AOR] = 1.03, 95% CI = 1.01‒1.05), and female sex (AOR = 2.17, 95% CI = 1.16‒4.06) were associated with multimorbidity.

CONCLUSIONS

The high prevalence of multimorbidity revealed in this study uncovers a major public health problem among Sudanese adults. Our results show that increasing age and female sex are associated with multimorbidity. Additional extensive studies are necessary to evaluate the magnitude of multimorbidity for improved future planning and establishing effective health systems.

Multimorbidity and adverse longitudinal outcomes among patients attending chronic outpatient medical care in Bahir Dar, Northwest Ethiopia

Background

Multimorbidity is becoming more prevalent in low-and middle-income countries (LMICs). However, the evidence base on the burden and its longitudinal outcomes are limited. This study aimed to determine the longitudinal outcomes of patients with multimorbidity among a sample of individuals attending chronic outpatient non communicable diseases (NCDs) care in Bahir Dar, northwest Ethiopia.

Methods

A facility-based longitudinal study was conducted among 1,123 participants aged 40+ attending care for single NCD (n = 491) or multimorbidity (n = 633). Data were collected both at baseline and after 1 year through standardized interviews and record reviews. Data were analyzed using Stata V.16. Descriptive statistics and longitudinal panel data analyzes were run to describe independent variables and identify factors predicting outcomes. Statistical significance was considered at p-value <0.05.

Results

The magnitude of multimorbidity has increased from 54.8% at baseline to 56.8% at 1 year. Four percent (n = 44) of patients were diagnosed with one or more NCDs and those having multimorbidity at baseline were more likely than those without multimorbidity to develop new NCDs. In addition, 106 (9.4%) and 22 (2%) individuals, respectively were hospitalized and died during the follow up period. In this study, about one-third of the participants had higher quality of life (QoL), and those having higher high activation status were more likely to be in the higher versus the combined moderate and lower QoL [AOR1 = 2.35, 95%CI: (1.93, 2.87)] and in the combined higher and moderate versus lower level of QoL [AOR2 = 1.53, 95%CI: (1.25, 1.88)].

Conclusion

Developing new NCDs is a frequent occurrence and the prevalence of multimorbidity is high. Living with multimorbidity was associated with poor progress, hospitalization and mortality. Patients having a higher activation level were more likely than those with low activation to have better QoL. If health systems are to meet the needs of the people with chronic conditions and multimorbidity, it is essential to understand diseases trajectories and of impact of multimorbidity on QoL, and determinants and individual capacities, and to increase their activation levels for better health improve outcomes through education and activation.

Risk Factors Associated with Multimorbidity among Children Aged Under-Five Years in Sub-Saharan African Countries: A Scoping Review

BACKGROUND/PURPOSE

Globally, the prevalence of multimorbidity (defined as the cooccurrence of two or more diseases in an individual without reference to an index disease) is greater than 33%. Consequently, childhood multimorbidity, a growing public health concern in Low- and Middle-Income-Countries (LMICs), frequently has an impact on children's health. Therefore, the aim of this scoping review was to locate and describe studies that investigate the association between socioeconomic, demographic, and environmental factors and the prevalence of multimorbidity among children aged under five years in Sub-Saharan Africa (SSA).

METHODS/DESIGN

We searched MEDLINE, Cumulative Index to Nursing and Allied Health Literature (CINAHL), PubMed, Scopus, and Web of Science for papers written in English, and published between January 1990 and March 2022. The search included papers that focused on children aged under five years with multimorbidity from Sub-Saharan Africa and used classical regression methods in their analysis.

RESULTS

A total of 261 articles were identified. Out of the 66 articles selected for full-text reading, 60 were removed for various reasons. Therefore, data from a sample of six articles were finally extracted and reported in this study. The sample size for the 6 studies included ranged from 2343 to 193,065 children under five years of age. There were six distinct disease conditions (Pneumonia, diarrhoea, malaria, being overweight, stunting, and anaemia) analysed in the included studies. One of the studies had three concurrent diseases, while the other five studies had two current diseases as their multimorbidity outcome of interest. The prevalence of multimorbidity in these six studies ranged from 1.2% to 24.8%.

CONCLUSIONS

The relatively few studies found in this research area is an indication of an evidence deficit/knowledge gap yearning to be filled to help policymakers in coming up with integrated multimorbidity care for children in SSA.

Pharmacometrics: A New Era of Pharmacotherapy and Drug Development in Low- and Middle-Income Countries

Pharmacotherapy, in many cases, is practiced at a suboptimal level of performance in low- and middle-income countries (LMICs) although stupendous amounts of data are available regularly. The process of drug development is time-consuming, costly, and is also associated with loads of hurdles related to the safety concerns of the compounds. This review was conducted with the objective to emphasize the role of pharmacometrics in pharmacotherapy and the drug development process in LMICs for rational drug therapy. Pharmacometrics is widely applied for the rational clinical pharmacokinetic (PK) practice through the population pharmacokinetic (popPK) modeling and physiologically based pharmacokinetic (PBPK) modeling approach. The scope of pharmacometrics practice is getting wider day by day with the untiring efforts of pharmacometricians. The basis for pharmacometrics analysis is the computer-based modeling and simulation of pharmacokinetics/pharmacodynamics (PK/PD) data supplemented by characterization of important aspects of drug safety and efficacy. Pharmacometrics can be considered an invaluable tool not only for new drug development with maximum safety and efficacy but also for dose optimization in clinical settings. Due to the convenience of using sparse and routine patient data, a significant advantage exists in this regard for LMICs which would otherwise lag behind in clinical trials.

Negative Self-Assessment of Health in Women: Association with Sociodemographic Characteristics, Physical Inactivity and Multimorbidity

Introduction: Women present a higher prevalence of negative self-assessment of health (NSAH) when compared to men. However, there is a gap in the literature of factors associated with NSAH in women from developing countries such as Brazil. In addition, few studies have assessed the magnitude of the association between multimorbidity and NSAH in this population. Thus, the aim of this study was to evaluate the association between NSAH and sociodemographic characteristics, lifestyle and multimorbidity in women from the Midwest region of Brazil. Methods: A study based on data from the National Health Survey, a household survey that investigated health situation, lifestyle and risk factors for chronic diseases in the adult population of Brazil, was held. Sampling was performed in multiple stages. The selected women answered a standardized questionnaire on sociodemographic data, self-assessment of health and potential determinants. Poisson regression was used to analyze the association between NSAH and sociodemographic characteristics, lifestyle and multimorbidity. A significance level of 0.05% was established. Results: The study included 4233 women. The prevalence of NSAH found was 6.0% (95% Confidence Interval [95% CI]: 5.1–7.0%). There was an association between NSAH and advancing age, low schooling, physical inactivity and multimorbidity. Furthermore, there was an association between NSAH and diseases/disorders such as chronic back pain, systemic arterial hypertension, mental disorders, depression, cardiovascular diseases, stroke, cancer, hypercholesterolemia and diabetes mellitus. Conclusion: The prevalence of NSAH was low. A strong association was found between this variable and multimorbidity. In addition, increased age, low schooling and physical inactivity were predictors of NSAH in women.

Healthy Aging and Dietary Patterns

A number of factors contribute to the complex process of aging, which finally define whether someone will or not develop age-associated chronic diseases in late life. These determinants comprise genetic susceptibility as well as various behavioral, environmental, and dietary factors, all of which have been shown to influence specific pathways regulating the aging process and the extension of life, which makes longevity a multidimensional phenomenon. Although a “miraculous elixir” or a “nutrition pill” are not plausible, researchers agree on the notion that nutritional factors have major impact on the risk of age-associated chronic non-communicable diseases and mortality. In recent years nutrition research in relation to health outcomes has considerably changed from focusing exclusively on single nutrients to considering combinations of foods rather than nutrients in isolation. Although research on specific nutrients is scientifically valid providing crucial evidence on the mechanisms by which nutrition impacts health, the recent switch targeting the multifaceted synergistic interplay among nutrients, other dietary constituents, and whole foods, has promoted emerging interest on the actions of total dietary patterns. This narrative review aims to describe some specific dietary patterns with evidence of associations with reduction in the incidence of chronic diseases allowing older adults to live a long-lasting and healthier life, and confirming the powerful impact nutrition can exert on healthy aging.

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.

Prevalence of multimorbidity among adults attending primary health care centres in Qatar: A retrospective cross-sectional study

Context:

Multimorbidity (MM) is a global concern following the increase in life expectancy, the conquering of major infectious diseases, and the advances in the management of chronic illnesses. It places a substantial burden on patients and healthcare systems.

Aims:

This study aims to describe the prevalence and pattern of MM in adults among primary healthcare users in Qatar.

Settings and Design:

A retrospective cross-sectional study design.

Methods and Material:

Data were extracted from the electronic health records of patients aged 18 years and above who registered for care with 27 primary health centres in Qatar from 1^st January 2017 to 30^th June 2020. The distribution of MM among age groups, gender and nationality was analysed.

Results:

In the study population of 7,96,427, the prevalence of MM was found to be 22.1%. MM was more prevalent in females (51.2%) than males (48.8%). The prevalence of MM showed an increasing trend with increasing age, with a peak of 25.8% found in the 46–55 age group. Qatari nationals accounted for 32.7% of MM, Southeast Asians for 28.3%, North Africans for 16.7% and individuals from other Middle Eastern countries for 14.1%. The five most common long-term chronic conditions were type-2 diabetes mellitus, hypertension, dyslipidaemia, obesity and eczema, with the first three being the most prevalent disease clusters.

Conclusions:

Our findings confirm that MM is common in Qatar's primary care centres. While the prevalence of MM was found to increase with increasing age, the largest proportion of patients with MM were those aged 46–55 years. This information adds to the available data on MM and directs health policymakers towards tailoring the management for the same.

Mental-physical multimorbidity treatment adherence challenges in Brazilian primary care: A qualitative study with patients and their healthcare providers

Improved understanding of multimorbidity (MM) treatment adherence in primary health care (PHC) in Brazil is needed to achieve better healthcare and service outcomes. This study explored experiences of healthcare providers (HCP) and primary care patients (PCP) with mental-physical MM treatment adherence. Adults PCP with mental-physical MM and their primary care and community mental health care providers were recruited through maximum variation sampling from nine cities in São Paulo State, Southeast of Brazil. Experiences across quality domains of the Primary Care Assessment Tool-Brazil were explored through semi-structured in-depth interviews with 19 PCP and 62 HCP, conducted between April 2016 and April 2017. Through thematic conent analysis ten meta-themes concerning treatment adherence were developed: 1) variability and accessibility of treatment options available through PHC; 2) importance of coming to terms with a disease for treatment initation; 3) importance of person-centred communication for treatment initiation and maintenance; 4) information sources about received medication; 5) monitoring medication adherence; 6) taking medication unsafely; 7) perceived reasons for medication non-adherence; 8) most challenging health behavior change goals; 9) main motives for initiation or maintenance of treatment; 10) methods deployed to improve treatment adherence. Our analysis has advanced the understanding of complexity inherent to treatment adherence in mental-physical MM and revealed opportunities for improvement and specific solutions to effect adherence in Brazil. Our findings can inform research efforts to transform MM care through optimization.

Social Participation as a Predictor of Morbid Thoughts and Suicidal Ideation among the Elderly Population: A Cross-Sectional Study on Four Low-Middle-Income Countries

Social wellbeing constitutes a critical aspect of one’s health, quality of life, and overall psychosocial wellbeing. Social isolation and perceived loneliness are growing public health concerns as they are considered to be important risk factor for poor physical and mental health outcomes. Not much is known about how the level of one’s social participation is associated with morbid thought and suicidal ideation. In the present study, we aimed to investigate whether social participation shows any significant correlation with morbid thought and suicidal ideation among the elderly population. Methods: Cross-sectional data were collected from Wave 1 of the Study of Global AGEing and Adult Health (SAGE). The sample population consisted 2018 men and women aged 65 years and above from the following countries: China (n = 787), Ghana (n = 278), India (n = 560), and Russia (n = 396). Outcome variables of self-reported occurrence of morbid thoughts and suicide ideation during the past 12 months were reported. Results: A great majority of the participants reported not participating in activities such as public meetings (84.6%), club meeting (49.6%), neighborhood activities (46%), and religious activities (57.2%). Those who reported attending public meetings several times a year had a higher likelihood of reporting having morbid thoughts (predicted probability = 1.24, 95% CI = 1.02, 1.52). However, the association was no longer significant after stratifying by sex. Attending clubs (marginal effect = 0.61, 95% CI = 0.49, 0.76) and neighborhood activities (predicted probability = 0.71, 95% CI = 0.58, 0.88) several times a year showed protective effects against morbid thoughts. Being visited by friends several times a month (predicted probability = 0.52, 95% CI = 0.40, 0.67) and visiting friends (predicted probability = 0.61, 95% CI = 0.50, 0.75) several times a year also showed lower likelihood of morbid thoughts. Similar effects were observed for attending social gatherings with colleagues and social events as well. Conclusions: The present findings suggest that there exist significantly positive associations between participation in social activities and morbid thoughts and suicidal ideation among the elderly population in the sample countries. More in-depth studies are necessary to investigate the barriers to participation in social activities as well as the role of the quality of social relationships with experiencing suicidal thoughts.

Encephalitis and meningitis in Western Africa: a scoping review of pathogens

OBJECTIVE

To give an overview of the recently reported literature on the aetiologies of meningitis and encephalitis in western sub-Saharan Africa.

METHODS

We conducted a scoping review following PRISMA guidance on published meningitis and encephalitis cases in the 16 countries of the United Nations-defined western sub-Saharan African region as identified in cohort studies, case series, and case reports, published 01/01/2000-08/01/2020, and available in four databases in August 2020 with an abstract in English, French or Italian.

RESULTS

There were 38 distinct pathogens identified from 91 cohort studies' data and 48 case reports or case series' data. In cohort-level data, the majority of cases were caused by Neisseria meningitidis (71.5%), Streptococcus pneumoniae (17.6%) and Haemophilus influenzae (7.3%). In case report- and case series-level data, 40.5% of patients were <18 years old, 28.6% were female, and 28.6% were known to be immunocompromised. The case fatality rate was 39.3%. The most commonly reported pathogens among immunocompetent patients were Salmonella species (13 cases) and Ebola virus (9 cases), and the most commonly reported pathogen among immunocompromised patients was Cryptococcus neoformans (18 cases). Most cohort cases (52.3%) derived from Niger followed by Burkina Faso (28.6%). Most cases from single reports or series were reported from Nigeria (21.4%), Mali (20.2%) and Burkina Faso (19.0%).

CONCLUSIONS

Given the small number of pathogens reported, our findings underscore the need to better screen, diagnose and monitor populations in western sub-Saharan Africa for additional CNS pathogens, including those posing significant outbreak risks.

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

Background:

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

Objectives:

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

Methods:

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

Results:

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

Conclusion and Recommendations:

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

Facing multimorbidity in the precision medicine era

The clinical picture of multimorbidity is heterogeneous and it is characterized by great complexity. Precision medicine is an innovative approach to provide personalized care focused on individual characteristics and to deliver the right treatments, at the right time, to the right person. The precision medicine approach, which represents an epochal change in the field of chronic diseases, has been poorly implemented in patients with multimorbidity. Several factors can limit this application. First, the precision medicine approach has been successfully applied in the treatment of mono-factorial diseases while multimorbidity is multifactorial. Second, there is lack of understanding of risk factors in the development and evolution of multimorbidity. Third, precision medicine is mainly focused on understanding genetic aspects of diseases and neglects other characteristics contributing to the definition of individual profiles. Finally, individual pathways may lead to the development of different multimorbidity phenotypes. A possible solution to simplify the application of precision medicine to this condition is to reduce its complexity and to find homogeneous patterns of chronic diseases that may work as targets of preventive and therapeutic strategies. This approach can lead to better understanding how these factors interact at individual level and to define interventions that might target multimorbidity.