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BackgroundMultimorbidity 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.MethodsA 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 ResultsThe 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)].ConclusionDeveloping 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.

Background Multimorbidity-the simultaneous occurrence of two or more chronic Non-Communicable Diseases) in an individual is increasing globally and challenging health systems. Although individuals living with multimorbidity face a range of adverse consequences and difficulty in getting optimal health care, the evidence base in understanding the burden and capacity of the health system in managing multimorbidity is sparse in low-and middle-income countries (LMICs). This study aimed at understanding the lived experiences of patients with multimorbidity and perspective of service providers on multimorbidity and its care provision, and perceived capacity of the health system for managing multimorbidity in Bahir Dar City, northwest Ethiopia. Methods A facility-based phenomenological study design was conducted in three public and three private health facilities rendering chronic outpatient Non-Communicable Diseases (NCDs) care in Bahir Dar City, Ethiopia. Nineteen patient participants with two or more chronic NCDs and nine health care providers (six medical doctors and three nurses) were purposively selected and interviewed using semi-structured in-depth interview guides. Data were collected by trained researchers. Interviews were audio-recorded using digital recorders, stored and transferred to computers, transcribed verbatim by the data collectors, translated into English and then imported into NVivo V.12 software for data analysis. We employed a six-step inductive thematic framework analysis approach to construct meaning and interpret experiences and perceptions of individual patients and service providers. Codes were identified and categorized into sub-themes, organizing themes and main themes iteratively to identify similarities and differences across themes, and to interpret them accordingly. Results A total of 19 patient participants (5 Females) and nine health workers (2 females) responded to the interviews. Participants’ age ranged from 39 to 79 years for patients and 30 to 50 years for health professionals. About half (n = 9) of the participants had three or more chronic conditions. The key themes produced were feeling dependency, social rejection, psychological distress, poor medication adherence and poor quality of care. Living with multimorbidity poses a huge burden on the physical, psychological, social and sexual health of patients. In addition, patients with multimorbidity are facing financial hardship to access optimal multimorbidity care. On the other hand, the health system is not appropriately prepared to provide integrated, person-centered and coordinated care for people living with multiple chronic conditions. Conclusion and recommendations Living with multimorbidity poses huge impact on physical, psychological, social and sexual health of patients. Patients seeking multimorbidity care are facing challenges to access care attributable to either financial constraints or the lack of integrated, respectful and compassionate health care. It is recommended that the health system must understand and respond to the complex care needs of the patients with multimorbidity.

Background: Assessment of cognitive competence is a major element of the internship qualification exam in undergraduate medical education in Ethiopia. Assessing the quality of exam items can help to improve the validity of assessments and assure stakeholders about the accuracy of the go/no decision to the internship. However, we know little about the quality of exam items utilized to ascertain fitness to join the medical internship. Therefore, this study aimed to analyze the quality of multiple-choice questions (MCQs) of the qualification exam administered to final-year medical students at DTU, Ethiopia. Methods: A mixed-method cross-sectional study design was employed to assess the psychometric qualities of 120 randomly selected MCQs and 407 distractors. Item characteristics were estimated using the item response theory (IRT) model. T-test, one-way ANOVA, and chi-square tests were run to analyze the univariate association between factors. Spearman correlation test was done to determine the predictive validity of the qualification examination. Result: Overall, 16%, 51%, and 33% of the items had high, moderate, and low distractor efficiency, respectively. About two-thirds (65.8%) of the items had two or more functioning distractors and 42.5% exhibited a desirable difficulty index. However, 77.8% of items administered in the qualification examination had a negative or poor discrimination index. Four and five option items didn’t show significant differences in psychometric qualities. The qualification exam showed a positive predictive value of success in the national licensing examination (Pearson’s correlation coefficient = 0.5).Conclusions: The difficulty index, functionality of distractors, and item reliability were acceptable, while the discrimination index was poor. Five option items didn’t have better psychometric qualities than the four options. Student performance in the qualification examination had a positive predictive validity. Items used for high-stake examinations need to be designed carefully and reviewed before administration.

Background Assessment of cognitive competence is a major element of the internship qualification exam in undergraduate medical education in Ethiopia. Assessing the quality of exam items can help to improve the validity of assessments and assure stakeholders about the accuracy of the go/no decision to the internship. However, we know little about the quality of exam items utilized to ascertain fitness to join the medical internship. Therefore, this study aimed to analyze the quality of multiple-choice questions (MCQs) of the qualification exam administered to final-year medical students at Debre Tabor University (DTU), Ethiopia. Methods A psychometric study was conducted to assess the qualities of 120 randomly selected MCQs and 407 distractors. Item characteristics were estimated using the item response theory (IRT) model. T-test, one-way ANOVA, and chi-square tests were run to analyze the univariate association between factors. Pearson’s correlation test was done to determine the predictive validity of the qualification examination. Result Overall, 16, 51, and 33% of the items had high, moderate, and low distractor efficiency, respectively. About two-thirds (65.8%) of the items had two or more functioning distractors and 42.5% exhibited a desirable difficulty index. However, 77.8% of items administered in the qualification examination had a negative or poor discrimination index. Four and five option items didn’t show significant differences in psychometric qualities. The qualification exam showed a positive predictive value of success in the national licensing examination (Pearson’s correlation coefficient = 0.5). Conclusions The psychometric properties of the medical qualification exam were inadequate for making valid decisions. Five option MCQs were not better than four options in terms of psychometric qualities. The qualification examination had a positive predictive validity of future performance. High-stakes examination items must be properly created and reviewed before being administered.

Background Multimorbidity, the presence of two or more chronic non-communicable diseases (NCDs) in a given person affects all aspects of individuals’ lives. Poor quality of life (QoL) is one of the major consequences of living with multimorbidity. Although healthcare aims to support multimorbid individuals to achieve better quality of life, little is known about the effect of multimorbidity on quality of life of patients attending chronic outpatient medical care in Ethiopia. Objectives This study aimed to determine the association between multimorbidity and quality of life among clients attending chronic outpatient medical care in Bahir Dar city, Northwest Ethiopia. Methods A multi-centered facility-based study was conducted among 1440 participants aged 40+ years attending chronic outpatient medical care. Two complementary methods (interview and review of medical records) were employed to collect data on sociodemographic characteristics and presence of chronic diseases. We used the short form (SF-12 V2) instrument to measure quality of life. The data were analyzed by STATA V.16 and multivariate partial proportional odds model was fitted to identify covariates associated with quality of life, adjusting for relevant confounding factors. Statistical significance was considered at p-value Results Multimorbidity was identified in 54.8% (95% CI=52.2%-57.4%) of the sample. A significant proportion (33.5%) of the study participants had poor quality of life and one fourth (25.8%) of them had moderate quality of life. Advanced age and living with multimorbidity were associated with poor quality of life. Conversely, being female, strong social support, high socioeconomic status, and adequate functioning and satisfaction with care were the variables positively associated with higher categories of quality of life.Conclusion The magnitude of multimorbidity in this study was high and individuals living with multimorbidity had a relatively poor quality of life than those without multimorbidity. Care of people with chronic multiple conditions may need to be oriented to the realities in multimorbidity burden and its implication on quality of life. Interventions targeting modifiable associated factors and studies exploring the longitudinal effect of multimorbidity on quality of life are needed.

ObjectiveThis study aimed to investigate the magnitude, pattern and associated factors of multimorbidity in Bahir Dar, Ethiopia.MethodsA multi-centered facility based study was conducted among 1440 participants aged 40+ years attending chronic outpatient medical care. Two complimentary methods (interview and review of medical records) were employed to collect the data on socio-demographic, behavioral and disease related characteristics. The data were analyzed by STATA V.16 and R Software V.4.1.0. We run descriptive statistics and fitted logistic regression and latent class analyses (LCA) models to determine associated factors and patterns of multimorbidity. Statistical significance was considered at p-value ≤0.05.ResultsThe magnitude of individual chronic conditions ranged from 1.4% to 37.9%, and multimorbidity was identified in 54.8% (95% CI=52.2%-57.4%) of the sample. The likelihood of developing multimorbidity was higher among participants aged from 45-54 years (AOR: 1.5, 95%CI= 1.1, 2.1), 55-64 years (AOR: 2.5, 95%CI=1.7, 3.5) and 65 years or more (AOR: 2.4, 95%CI=1.7, 3.5), among individuals classified as overweight (AOR: 1.6, 95%CI=1.2, 2.1) or obese (AOR: 1.9, 95%CI=1.3, 3.0) and among those individuals who believe in external locus of control (AOR: 1.8, 95%CI=1.3, 2.5). Four patterns of multimorbidity were identified, the cardiovascular category being the largest class (50.2%), followed by the metabolic group (32.6%). Advanced age, overweight and obesity predicted latent class membership, adjusting for relevant confounding factors.ConclusionThe magnitude of multimorbidity in this study was high. The most frequently diagnosed chronic conditions shaped the patterns of multimorbidity. Advanced age, overweight and obesity were the factors profoundly associated with multimorbidity. Health service organization and provision in the study area need to be oriented by the realities in disease burden and pattern of multimorbidity. Further research is required to better understand the impact of multimorbidity on individuals wellbeing, survival and health service delivery.

Objective This study aimed to investigate the magnitude, pattern and associated factors of multimorbidity in Bahir Dar, northwest Ethiopia. Methods A multi-centered facility-based study was conducted among 1440 participants aged 40+ years attending chronic outpatient medical care. Two complementary methods (interview and review of medical records) were employed to collect data on socio-demographic, behavioral and disease related characteristics. The data were analyzed by STATA V.16 and R Software V.4.1.0. We fitted logistic regression and latent class analyses (LCA) models to identify the factors associated with multimorbidity and determine patterns of disease clustering, respectively. Statistical significance was considered at P-value Results The magnitude of individual chronic conditions ranged from 1.4% (cancer) to 37.9% (hypertension), and multimorbidity was identified in 54.8% (95% CI = 52.2%-57.4%) of the sample. The likelihood of having multimorbidity was higher among participants aged 45–54 years (AOR: 1.6, 95%CI = 1.1, 2.2), 55–64 years (AOR: 2.6, 95%CI = 1.9, 3.6) and 65+ years (AOR: 2.6, 95%CI = 1.9, 3.6) compared to those aged 40–44 years. The odds of multimorbidity was also higher among individuals classified as overweight (AOR: 1.6, 95%CI = 1.2, 2.1) or obese (AOR: 1.9, 95%CI = 1.3, 3.0) than the normal weight category. Four patterns of multimorbidity were identified; the cardiovascular category being the largest class (50.2%) followed by the cardio-mental, (32.6%), metabolic (11.5%) and respiratory (5.7%) groups. Advanced age, being overweight and obesity predicted latent class membership, adjusting for relevant confounding factors. Conclusions The magnitude of multimorbidity in this study was high, and the most prevalent conditions shaped the patterns of multimorbidity. Advanced age, being overweight and obesity were the factors correlated with multimorbidity. Further research is required to better understand the burden of multimorbidity and related factors in the population, and to determine the impact of multimorbidity on individuals’ well-being and functioning.

Background Multimorbidity, the presence of two or more chronic non-communicable diseases (NCDs) in a given person affects all aspects of people’s lives. Poor quality of life (QoL) is one of the major consequences of living with multimorbidity. Although healthcare should support multimorbid individuals to achieve a better quality of life, little is known about the effect of multimorbidity on the QoL of patients living with chronic conditions. This study aimed to determine the influence of multimorbidity on QoL among clients attending chronic outpatient medical care in Bahir Dar, Northwest Ethiopia. Methodology A multi-centered facility-based study was conducted among 1440 participants aged 40+ years. Two complementary methods were employed to collect sociodemographic and disease related data. We used the short form (SF-12 V2) instrument to measure quality of life (QoL). The data were analyzed by STATA V.16, and a multivariate partial proportional odds model was fitted to identify covariates associated with quality of life. Statistical significance was considered at p-value Principal findings Multimorbidity was identified in 54.8% (95% CI = 52.2%-57.4%) of the sample. A significant proportion (33.5%) of the study participants had poor QoL and a quarter (25.8%) of them had moderate QoL. Advanced age, obesity and living with multimorbidity were the factors associated with poor QoL. Conversely, perceived social support and satisfaction with care were the variables positively associated with better QoL. Conclusion The magnitude of multimorbidity in this study was high and individuals living with multimorbidity had a relatively poorer QoL than those without multimorbidity. Care of people with chronic multiple conditions has to be oriented to the realities of multimorbidity burden and its implication on QoL. It is also imperative to replicate the methods we employed to measure and analyze QoL data in this study for facilitating comparison and further development of the approaches.

IntroductionMultimorbidity refers to the presence of two or more chronic non-communicable diseases (NCDs) in a given individual. It is associated with premature mortality, lower quality of life (QoL) and greater use of healthcare resources. The burden of multimorbidity could be huge in the low and middle-income countries (LMICs), including Ethiopia. However, there is limited evidence on the magnitude of multimorbidity, associated risk factors and its effect on QoL and functionality. In addition, the evidence base on the way health systems are organised to manage patients with multimorbidity is sparse. The knowledge gleaned from this study could have a timely and significant impact on the prevention, management and survival of patients with NCD multimorbidity in Ethiopia and in LMICs at large.Methods and analysisThis study has three phases: (1) a cross-sectional quantitative study to determine the magnitude of NCD multimorbidity and its effect on QoL and functionality, (2) a qualitative study to explore organisation of care for patients with multimorbidity, and (3) a longitudinal quantitative study to investigate disease progression and patient outcomes over time. A total of 1440 patients (≥40 years) on chronic care follow-up will be enrolled from different facilities for the quantitative studies. The quantitative data will be collected from multiple sources using the KoBo Toolbox software and analysed by STATA V.16. Multiple case study designs will be employed to collect the qualitative data. The qualitative data will be coded and analysed by Open Code software thematically.Ethics and disseminationEthical clearance has been obtained from the College of Medicine and Health Sciences, Bahir Dar University (protocol number 003/2021). Subjects who provide written consent will be recruited in the study. Confidentiality of data will be strictly maintained. Findings will be disseminated through publications in peer-reviewed journals and conference presentations.

IntroductionMultimorbidity is the coexistence of two or more chronic non-communicable diseases (NCDs) in a given individual. Multimorbidity is increasing in low- and middle-income countries (LMICs) and challenging health systems. Individuals with multimorbidity are facing the risk of premature mortality, lower quality of life and greater use of healthcare services. However, despite the huge challenge multimorbidity brings in LMICs, gaps remain in mapping and synthesising the available knowledge on the issue. The focus of this scoping review will be to synthesise the extent, range and nature of studies on the epidemiology and models of multimorbidity care in LMICs.MethodsPubMed (MEDLINE) will be the main database to be searched. For articles that are not indexed in the PubMed, Scopus, PsycINFO and Cochrane databases will be searched. Grey literature databases will also be explored. There will be no restrictions on study setting or year of publication. Articles will be searched using key terms, including comorbidity, co-morbidity, multimorbidity, multiple chronic conditions and model of care. Relevant articles will be screened by two independent reviewers and data will be charted accordingly. The result of this scoping review will be presented using the Preferred Reporting Items for Systematic Review and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) checklist and reporting guideline.Ethics and disseminationThis scoping review does not require ethical approval. Findings will be published in peer-reviewed journal and presented at scientific conferences.

Fantu Abebe Eyowas,1 Ashebir Kidane Negasi,1 Gizachew Eyassu Aynalem,1 Abebaw Gebeyehu Worku2 1International NGO, Strengthening Human Resource for Health, Bahir Dar, 2Institute of Public Health, University of Gondar, Gondar, Ethiopia Introduction: Some studies favor elective cesarean delivery, and other surveys benefit vaginal delivery, while others emphasize that the quality of care during labor, birth, and immediate postpartum period plays a great role than the route of delivery. However, little information is locally available regarding the incidences of adverse birth outcome with respect to the route of delivery. Methods: This study was a retrospective analysis of eligible patient records that included 3,003 pregnant women who had undergone either cesarean or vaginal delivery from July 1, 2012, to June 31, 2013. Pretested questionnaire was used to collect the data. The completeness and consistency of the data were checked, cleaned, and double entered to EPI-INFO 3.5.2 and analyzed with SPSS V20. Independent sample t-test and chi-square test were conducted to compare the outcome of vaginal delivery and cesarean section (CS) using index variables. Significance was taken at P