Demographic Surveillance Site Research Articles

Underweight associated with water, sanitation, and hygiene among women of reproductive age in Arba Minch Health and Demographic Surveillance Site, Southern Ethiopia

Underweight associated with water, sanitation, and hygiene among women of reproductive age in Arba Minch Health and Demographic Surveillance Site, Southern Ethiopia

Family network and household composition: a longitudinal dataset derived from the Karonga Health and Demographic Surveillance System, in rural Malawi

Proximity to family, household composition, and structure are often studied as outcomes and as explanatory factors in a wide range of scientific disciplines. Here, we describe a large longitudinal dataset (currently including data from over 70,000 individuals from 2004 to 2017), including data on household structure, proximity to kin, population density, and other socio-demographic factors derived from data from the Karonga Health and Demographic Surveillance Site (HDSS) in Northern Malawi. We present how the dataset is generated, list some examples of how it can be used, and provide information on the limitations that affect the types of analyses that can be carried out.

Early life ambient air pollution, household fuel use, and under-5 mortality in Ghana

IntroductionEnvironmental exposures, such as ambient air pollution and household fuel use affect health and under-5 mortality (U5M) but there is a paucity of data in the Global South. This study examined early-life exposure to ambient particulate matter with a diameter of 2.5 µm or less (PM2.5), alongside household characteristics (including self-reported household fuel use), and their relationship with U5M in the Navrongo Health and Demographic Surveillance Site (HDSS) in northern Ghana. MethodsWe employed Satellite-based spatiotemporal models to estimate the annual average PM2.5 concentrations with the Navrongo HDSS area (1998 to 2016). Early-life exposure levels were determined by pollution estimates at birth year. Socio-demographic and household data, including cooking fuel, were gathered during routine surveillance. Cox proportional hazards models were applied to assess the link between early-life PM2.5 exposure and U5M, accounting for child, maternal, and household factors. FindingsWe retrospectively studied 48,352 children born between 2007 and 2017, with 1872 recorded deaths, primarily due to malaria, sepsis, and acute respiratory infection. Mean early-life PM2.5 was 39.3 µg/m3, and no significant association with U5M was observed. However, Children from households using “unclean” cooking fuels (wood, charcoal, dung, and agricultural waste) faced a 73 % higher risk of death compared to those using clean fuels (adjusted HR = 1.73; 95 % CI: 1.29, 2.33). Being born female or to mothers aged 20–34 years were linked to increased survival probabilities. InterpretationThe use of “unclean” cooking fuel in the Navrongo HDSS was associated with under-5 mortality, highlighting the need to improve indoor air quality by introducing cleaner fuels.

Discovering Subgroups of Children With High Mortality in Urban Guinea-Bissau: Exploratory and Validation Cohort Study.

The decline in global child mortality is an important public health achievement, yet child mortality remains disproportionally high in many low-income countries like Guinea-Bissau. The persisting high mortality rates necessitate targeted research to identify vulnerable subgroups of children and formulate effective interventions. This study aimed to discover subgroups of children at an elevated risk of mortality in the urban setting of Bissau, Guinea-Bissau, West Africa. By identifying these groups, we intend to provide a foundation for developing targeted health interventions and inform public health policy. We used data from the health and demographic surveillance site, Bandim Health Project, covering 2003 to 2019. We identified baseline variables recorded before children reached the age of 6 weeks. The focus was on determining factors consistently linked with increased mortality up to the age of 3 years. Our multifaceted methodological approach incorporated spatial analysis for visualizing geographical variations in mortality risk, causally adjusted regression analysis to single out specific risk factors, and machine learning techniques for identifying clusters of multifactorial risk factors. To ensure robustness and validity, we divided the data set temporally, assessing the persistence of identified subgroups over different periods. The reassessment of mortality risk used the targeted maximum likelihood estimation (TMLE) method to achieve more robust causal modeling. We analyzed data from 21,005 children. The mortality risk (6 weeks to 3 years of age) was 5.2% (95% CI 4.8%-5.6%) for children born between 2003 and 2011, and 2.9% (95% CI 2.5%-3.3%) for children born between 2012 and 2016. Our findings revealed 3 distinct high-risk subgroups with notably higher mortality rates, children residing in a specific urban area (adjusted mortality risk difference of 3.4%, 95% CI 0.3%-6.5%), children born to mothers with no prenatal consultations (adjusted mortality risk difference of 5.8%, 95% CI 2.6%-8.9%), and children from polygamous families born during the dry season (adjusted mortality risk difference of 1.7%, 95% CI 0.4%-2.9%). These subgroups, though small, showed a consistent pattern of higher mortality risk over time. Common social and economic factors were linked to a larger share of the total child deaths. The study's results underscore the need for targeted interventions to address the specific risks faced by these identified high-risk subgroups. These interventions should be designed to work to complement broader public health strategies, creating a comprehensive approach to reducing child mortality. We suggest future research that focuses on developing, testing, and comparing targeted intervention strategies unraveling the proposed hypotheses found in this study. The ultimate aim is to optimize health outcomes for all children in high-mortality settings, leveraging a strategic mix of targeted and general health interventions to address the varied needs of different child subgroups.

Understanding the health system utilisation and reasons for avoidable mortality after fatal injury within a Three-Delays framework in Karonga, Northern Malawi: a retrospective analysis of verbal autopsy data

ObjectivesTo use verbal autopsy (VA) data to understand health system utilisation and the potential avoidability associated with fatal injury. Then to categorise any evident barriers driving avoidable delays to care...

IJCM_206A: Building a demographic, developmental and environmental surveillance site in an urban slum and resettlement colony in Delhi, India: processes, engagement, and challenges – a SWOT analysis

Background: Demographic, developmental and environmental surveillance sites (DDESS) enable accurate and prospective health-related data collection amongst socioeconomically disadvantaged populations that facilitate health planning and interventions. Objectives: We explored the community-engagement strategies, enablers, and barriers in building a DDESS site in an urban slum and resettlement colony-based field practice area of a government medical college in Delhi. Methodology: We conducted qualitative research through SWOT analysis that identified both internal (strength and weaknesses), and external (opportunities and threats) factors in building the DDESSS. Informal interviews with multiple stakeholders including researchers, field investigators, project staff, local medical officers, resident doctors, community health workers, local residents, and leaders were conducted. Results: The themes related to SWOT analysis were identified as: (1). Internal factors – Strengths (a). Pre-existing linkage with the community especially provision of comprehensive primary care services (b). Establishment of community-advisory boards (c). Community needs assessment (2): Internal factors - Weaknesses (a). Perceived lack of individual benefit in residents (b). Dissatisfaction with functioning of existing health services (c). Inadequate digital literacy among senior staff hindering generation and adoption of health data to meet population healthcare needs (c) Concerns over privacy in questions related to socioeconomic status and mapping of the area. (3). External factors – Opportunities (a). Employment of field workers belonging to the community to demonstrate trust and build confidence (b). Outreach health services including noncommunicable screening camps, and child vaccination. (4). External factors - Threats (a). Inefficient functioning of health system such as out-of-stock drugs, delayed vaccination, unavailability of diagnostic services in existing primary health facilities. (b). ensuring availability of adequate human and financial resources beyond the project period. (c) dominance of CABs by influential individuals or groups. Conclusion: Garnering community support and active community engagement enable the process of establishment of medical college based DDESS sites.

Assessing the influence of COVID-19 lockdown measures on cognition and behavior in school age children in Arba Minch Health and Demographic Surveillance site, Southern Ethiopia: A cross-sectional study.

Ethiopian schools were closed for nearly 40 weeks as a measure to control the COVID-19 pandemic. The objective of the study was to evaluate the role of COVID-19 pandemic's restrictive measures on cognition and behavioral difficulties of schoolchildren in Arba Minch Health and Demographic Surveillance Site. Two cross-sectional surveys were conducted in November 2019 (pre-COVID-19-lockdown) and November 2020 (post-COVID-19 lockdown). Data were collected both at the school and homes of the children. Cognitive development of the children was assessed using digit span, Raven's coloured progressive matrices (RCPM) and Visual search using cancellation task. Behavioral difficulties score of the children was assessed using Strengths and Difficulties Questionnaire. Analysis of covariance (ANCOVA) was used to compare between the cognition outcomes and behavioral difficulties score pre- and post-COVID-19-lockdown. In a sub-group of children who provided data in both surveys, the difference in cognitive and behavioral outcomes was tested using a mixed effect model. Compared to the pre-COVID-19-lockdown, schoolchildren post-COVID-19-lockdown scored lower in the standardized performance index for the visual search task, which measures attention (0.27 SD, 95% confidence intervals (95%CI): -0.40, -0.13). However, they scored higher by 0.26 SD (95%CI: 0.13, 0.40) and 0.36 SD (95%CI: 0.22, 0.49) in digit span and RCPM, respectively, measuring working memory and non-verbal intelligence. There was no significant difference in total difficulties score between pre- and post-COVID-19-lockdown (0.01 SD, 95%CI: -0.12, 0.15). The subgroup analysis showed a significant increase in digit span among children post-COVID-19-lockdown while the other domains did not show a significant change. Factors contributing to the improvement of children's cognitive domains while away from the school environment should be explored and utilized to enhance child development. This study was registered at clinicaltrials.gov as NCT04137354 on October 14, 2019.

Local and long-distance migration among young people in rural Malawi: importance of age, sex and family.

In sub-Saharan Africa, migration of young people is common and occurs for a variety of reasons. Research focus is often on international or long-distance internal migration; however, shorter moves also affect people's lives and can reveal important information about cultures and societies. In rural sub-Saharan Africa, migration may be influenced by cultural norms and family considerations: these may be changing due to demographic shifts, urbanisation, and increased media access. We used longitudinal data from a Health and Demographic Surveillance Site in rural northern Malawi to present a detailed investigation of migration in young people between 2004-2017. Our focus is on the cultural effects of gender and family, and separate migrations into short and long distance, and independent and accompanied, as these different move types are likely to represent very different events in a young person's life. We use descriptive analyses multi-level multinomial logistic regression modelling. We found two key periods of mobility 1) in very young childhood and 2) in adolescence/young adulthood. In this traditionally patrilocal area, we found that young women move longer distances to live with their spouse, and also were more likely to return home after a marriage ends, rather than remain living independently. Young people living close to relatives tend to have lower chances of moving, and despite the local patrilineal customs, we found evidence of the importance of the maternal family. Female and male children may be treated differently from as young as age 4, with girls more likely to migrate long distances independently, and more likely to accompany their mothers in other moves.

Maternal and household factors affecting the dietary diversity of preschool children in eastern Ethiopia: a cross-sectional study

ObjectiveInvestigate the association between the dietary diversity of preschool children and proximate factors including household food insecurity, maternal food choice, preferences, khat use, and levels of depressive symptoms.DesignCross-sectional survey of...

“Problems you can live with” versus emergencies: how community members in rural Ethiopia contend with conditions requiring surgery

Background98% of people with surgical conditions living in low- and middle-income countries (LMICs) do not receive safe, timely and affordable surgical and anesthesia care. Research exploring barriers to receiving care has tended to be narrow in focus, often facility-based and ignoring the community beliefs, experiences and behaviours that will be an essential component of closing the gap in surgical care. Using qualitative methods, we captured diverse community perspectives in rural Ethiopia: exploring beliefs, perceptions, knowledge and experiences related to surgical conditions, with the overall aim of (re)constructing explanatory models.MethodsOur study was nested within a community-based survey of surgical conditions conducted in the Butajira Health and Demographic Surveillance Site, southern Ethiopia, and a follow-up study of people accessing surgical care in two local hospitals. We carried out 24 semi-structured interviews. Participants were community members who needed but did/did not access surgical care, community-based healthcare workers and traditional bone-setters. Interviews were conducted in Amharic, audio-recorded, transcribed, and translated into English. We initially carried out thematic analysis and we recognized that emerging themes were aligned with Kleinman’s explanatory models framework and decided to use this to guide the final stages of analysis.ResultsWe found that community members primarily understood surgical conditions according to severity. We identified two categories: conditions you could live with and those which required urgent care, with the latter indicating a clear and direct path to surgical care whilst the former was associated with a longer, more complex and experimental pattern of help-seeking. Fear of surgery and poverty disrupted help-seeking, whilst community narratives based on individual experiences fed into the body of knowledge people used to inform decisions about care.ConclusionsWe found explanatory models to be flexible, responsive to new evidence about what might work best in the context of limited community resources. Our findings have important implications for future research and policy, suggesting that community-level barriers have the potential to be responsive to carefully designed interventions which take account of local knowledge and beliefs.

The association between common mental disorders and tuberculosis: a case-control study from Guinea-Bissau.

The aim of the study was to explore the association between tuberculosis (TB) and common mental disorders (CMD), in an area with high prevalence of TB. We performed a case-control study of TB patients and unmatched healthy controls, from a demographic surveillance site in Guinea-Bissau. Screening for CMD was performed once for controls and at inclusion and follow-up for TB patients. Kessler 10 (K-10) and a brief version of Hopkins Symptom Checklist 25 (SCL-8d) were used as screening instruments. 571 controls were interviewed and 416 interviews were performed for 215 TB cases. Estimated CMD prevalence at the time of diagnosis of TB was 33.6 % (SCL-8d) and 46.2 % (K-10), compared with 6.8 % (SCL-8d) and 6.7 % (K-10) among controls; adjusted OR 7.18 (95 % CI 4.07 to 12.67) and 14.52 (95 % CI 8.15 to 25.84), respectively. No significant difference in CMD prevalence rates was observed between TB patients, after 6 months of treatment, and controls. Psychological distress and common mental disorders were more prevalent among TB patients at the time of diagnosis compared with the background population, but after completion of TB treatment no increased prevalence of psychological distress was found.

Evaluating the effect of a behavioural intervention bundle on antibiotic use, quality of care, and household transmission of resistant Enterobacteriaceae in intervention versus control clusters in rural Burkina Faso and DR Congo (CABU-EICO)

BackgroundAntimicrobial resistance (AMR) is a rising threat in low-resource settings, largely driven by transmission in the community, outside health facilities. Inappropriate antibiotic use is one of the main modifiable drivers of AMR. Its risk is especially high in poor resource settings, with limited diagnostic and surveillance capacities, and many informal medicine vendors determining community use. We hypothesise that to optimise community antibiotic use, especially Watch antibiotics (recommended only as first-choice for more severe clinical presentations or for causative pathogens likely to be resistant to Access antibiotics), both the supply side (medicine vendors) and the demand side (communities) should be pro-actively involved in any intervention.MethodsIn two existing demographic health surveillance sites (HDSS) in Burkina Faso and in the Democratic Republic of Congo, behavioural intervention bundles were co-created in a participatory approach, aiming to rationalise (Watch) antibiotic use and improve hygiene and sanitation practices. Bundles consisted of interactive interventions, including theatre, posters, discussions, etc. To evaluate impact, 11 of 22 clusters (a HDSS community with at least one (in)formal medicine vendor) were randomly assigned to this intervention, which will run over a year. The effect of the intervention will be evaluated by comparing outcomes before and after in intervention and control villages from a) exit interviews of clients from vendors, b) mystery patients presenting to vendors with a set of predefined symptoms, c) household interviews to assess behavioural changes related to antibiotic use, health literacy and water-sanitation-hygiene indicators. Long-term impact on AMR will be estimated by modelling changes in resistant Enterobacteriaceae carriage from repeated household surveys before, during and after the intervention in both arms.DiscussionMost existing interventions aimed at improving antibiotic use focus on health care use, but in resource-limited settings, community use is highly prevalent. Previous studies targeting only providers failed to show an effect on antibiotic use. Evaluation will be done with before-after epidemiological measurements of actual prescriptions and use. If effective in reducing (Watch) antibiotic use, this would be an empowering methodology for communities, which has significant promise for long-term impact.Trial registrationClinicalTrials.govNCT05378880. 13 May 2022.

Depressive disorder, bipolar disorder, and associated factors among adults, in the Eastern part of Ethiopia

BackgroundDepressive disorder is one of the severe and common mental illnesses in the general population. Bipolar disorder is a severe, persistent mental illness associated with significant morbidity and mortality. However, there is a paucity of data on the prevalence of depressive disorder, and bipolar disorder in our study area.ObjectiveThis study aimed to assess the prevalence of depressive and bipolar disorders among adults in Kersa, Haramaya, and Harar Health and Demographic Surveillance Sites in Eastern Ethiopia.MethodsA community-based cross-sectional study was conducted among 1,416 participants. A multi-stage sampling was employed to select the participants. DSM-5 diagnostic criteria was used to assess depressive disorder and bipolar disorder. Data was collected using a standard questionnaire. Data were entered into Epi-Data 3.1 and analyzed using SPSS version 26. Both binary and multivariate logistic regression analyses were done. Those with a p-value < 0.05 in the final model were considered statistically significant.ResultsThe overall prevalence of depressive and bipolar disorders among our study participants was 6.7% (95% CI: 5.40, 8.20) and 2.1% (95% CI: (1.40, 3.00), respectively. The independent predictors of depressive disorder included a family history of mental illness, chronic medical illnesses, unemployment, low educational status, divorced or widowed, poor social support, and current alcohol use or khat chewing. Single, males, divorced or widowed, and current consumers of alcohol were independent predictors for bipolar disorder.Conclusions and recommendationThe results of our investigation showed that bipolar illness and depression were significant public health issues. It was shown that although bipolar disorder is highly prevalent in the society, depression is a widespread concern. As a result, it is imperative that the relevant body grow and enhance the provision of mental health services. Furthermore, research on the effects and burdens of bipolar disorder in the community is required.

Community perceptions and experiences on caring for the premature babies in Arba Minch health and demographic surveillance site, southern Ethiopia: Interpretive Husserlian phenomenological study.

Premature birth is the leading cause of under-5 child mortality, accounting for 18%. More attention is needed for premature babies. Myths, misconceptions, and negative attitudes stigmatize premature births and slow prevention and care efforts. In Ethiopia, studies have been conducted on premature birth and its risk factors. However, there is a lack of evidence regarding the perceived causes of premature birth, caring aspects, and community challenges. This qualitative study aims to address these research gaps. This interpretive Husserlian phenomenological study was conducted from January 1-30, 2022. Purposive sampling was used to recruit 32 participants for focus group discussions and 10 participants for in-depth interviews. Participants included women, grandmothers, grandfathers, men, traditional birth attendants, and traditional healers. Interview and focus group data were analyzed using NVivo 12 Plus software and a thematic content analysis approach. In this study, the participants recognized premature babies by physical features such as transparent and bloody bodies, small and weak bodies, a limited range of motion, and bizarre behaviors. They perceived the causes of premature birth to be being young, carrying heavily loaded materials, accidents, illnesses, sin, social influence, and witchcraft. Participants provide warmth to premature babies by wearing cotton wool, making skin-to-skin contact, exposing to sunlight, and wrapping them in clothes. They also feed them boiled alcohol, muk, and formula, as well as fresh cow milk and butter. They frequently bathe the babies, wash and change their clothes, limit visits, and provide physical protection. The main challenges that the women faced were difficulty feeding and bathing the babies, limited social participation, psychosocial and economic impact, spirituality, and husband negligence. The community has a gap in providing care for premature babies, and women with premature babies face many challenges. Therefore, we need to raise awareness of accurate information about the causes and care of premature babies, and we need to support women who have premature babies.

Food insecurity and perinatal depression among pregnant women in BUNMAP cohort in Ethiopia: a structural equation modelling.

To assess the effect of food insecurity on perinatal depression in rural Ethiopia. We used a prospective cohort in which food insecurity was considered as primary exposure and perinatal depression as an outcome. Food insecurity at baseline (in the period of 8-24 weeks of pregnancy) was measured using the Household Food Insecurity Access Scale (HFIAS), and perinatal depression at follow-up (in 32-36 weeks of pregnancy) was measured using a Patient Health Questionnaire (PHQ-9). We used multivariable regression to assess the effect of food insecurity on the prevalence of perinatal depression. We explored food insecurity's direct and indirect impacts on perinatal depression using structural equation modelling (SEM). This paper used data from the Butajira Nutrition, Mental Health and Pregnancy (BUNMAP) cohort established under the Butajira Health and Demographic Surveillance Site (BHDSS). Seven hundred and fifty-five pregnant women. Among the study participants, 50 % were food-insecure, and about one-third were depressed at 32-36 follow-up. In SEM, higher values of baseline food insecurity, depressive symptoms and state-trait anxiety (STA) were positively and significantly associated with perinatal depression. The direct impact of food insecurity on perinatal depression accounts for 42 % of the total effect, and the rest accounted for the indirect effect through baseline depression (42 %) and STA (16 %). The significant effect of food insecurity at baseline on perinatal depression and the indirect effect of baseline food insecurity through baseline anxiety and depression in the current study implies the importance of tailored interventions for pregnant women that consider food insecurity and psychosocial problems.

Trends and causes of neonatal mortality from 2010 to 2017 at a Health and Demographic Surveillance site in Northern Ethiopia

ABSTRACT Background Half of global under-five mortalities is neonatal. The highest rates are found in low-income countries such as Ethiopia. Ethiopia has made progress in reducing under-five mortality, but neonatal mortality remains high. Evidence collected continuously at the community level is crucial for understanding the trends and causes of neonatal mortality. Objectives To analyse the trends and causes of neonatal mortality at the Kilte-Awlelo Health and Demographic Surveillance System (KAHDSS) site in Ethiopia from 2010 to 2017. Methods A descriptive study was conducted using data from neonates born between 2010 and 2017 at the KAHDSS site. Data were collected using interviewer-administered questionnaires. Causes of death were examined, and neonatal mortality trends were described using simple linear regression. Results The overall average neonatal mortality rate was 17/1000 live births (LBs). The rate increased from 12 per 1000 LBs in 2010 to 15 per 1000 LBs in 2017. The majority of neonatal deaths occurred during the first week of life, and more than one-half died at home. The leading causes were sepsis, pre-term birth (including respiratory distress), disease related to the perinatal period, birth asphyxia, and neonatal pneumonia. Conclusions The high neonatal mortality in Ethiopia requires urgent attention and action. Sepsis, preterm birth, perinatal diseases, asphyxia, and neonatal pneumonia are the leading causes of death in neonates. Facility- and community-based health services should target the leading causes of neonatal deaths.

Family network and household composition: a longitudinal dataset derived from the Karonga Health and Demographic Surveillance System, in rural Malawi

Proximity to family, household composition, and structure are often studied as outcomes and as explanatory factors in a wide range of scientific disciplines. Here, we describe a large longitudinal dataset (currently including data from over 70,000 individuals from 2004 to 2017), including data on household structure, proximity to kin, population density, and other socio-demographic factors derived from data from the Karonga Health and Demographic Surveillance Site (HDSS) in Northern Malawi. We present how the dataset is generated, list some examples of how it can be used, and provide information on the limitations that affect the types of analyses that can be carried out.

Developing Climate Change and Health Impact Monitoring with eHealth at the South East Asia Community Observatory and Health and Demographic Surveillance Site, Malaysia (CHIMES).

Malaysia is projected to experience an increase in heat, rainfall, rainfall variability, dry spells, thunderstorms, and high winds due to climate change. This may lead to a rise in heat-related mortality, reduced nutritional security, and potential migration due to uninhabitable land. Currently, there is limited data regarding the health implications of climate change on the Malaysian populace, which hinders informed decision-making and interventions. This study aims to assess the feasibility and reliability of using sensor-based devices to enhance climate change and health research within the SEACO health and demographic surveillance site (HDSS) in Malaysia. We will particularly focus on the effects of climate-sensitive diseases, emphasizing lung conditions like chronic obstructive pulmonary disease (COPD) and asthma. In our mixed-methods approach, 120 participants (>18 years) from the SEACO HDSS in Segamat, Malaysia, will be engaged over three cycles, each lasting 3 weeks. Participants will use wearables to monitor heart rate, activity, and sleep. Indoor sensors will measure temperature in indoor living spaces, while 3D-printed weather stations will track indoor temperature and humidity. In each cycle, a minimum of 10 participants at high risk for COPD or asthma will be identified. Through interviews and questionnaires, we will evaluate the devices' reliability, the prevalence of climate-sensitive lung diseases, and their correlation with environmental factors, like heat and humidity. We anticipate that the sensor-based measurements will offer a comprehensive understanding of the interplay between climate-sensitive diseases and weather variables. The data is expected to reveal correlations between health impacts and weather exposures like heat. Participant feedback will offer perspectives on the usability and feasibility of these digital tools. Our study within the SEACO HDSS in Malaysia will evaluate the potential of sensor-based digital technologies in monitoring the interplay between climate change and health, particularly for climate-sensitive diseases like COPD and asthma. The data generated will likely provide details on health profiles in relation to weather exposures. Feedback will indicate the acceptability of these tools for broader health surveillance. As climate change continues to impact global health, evaluating the potential of such digital technologies is crucial to understand its potential to inform policy and intervention strategies in vulnerable regions.

Prevalence of pelvic floor disorder and associated factors among women in Arba Minch Health and Demographic Surveillance Site, Gamo Zone, Southern Ethiopia, 2021

BackgroundGlobally, millions of women develop pelvic floor disorder. It imposes a considerable emotional, social, and financial burden on women’s lives. Despite this, in developing countries, nearly half of women with pelvic floor disorder do not seek any help due to feelings of isolation, depression, shame, and loss of control. Thus, the magnitude of the problem is largely unknown. The aim of this study was to assess the prevalence of pelvic floor disorder and associated factors among women at Arba Minch Health and Demographic surveillance site.MethodsA cross-sectional study with a simple random sampling technique was employed on a community basis. The data were entered into EpiData version 3.1 and then exported to Statistical Package for Social Sciences version 25 for data cleaning and analysis. Bivariate and multivariable analyses using binary logistic regressions were carried out to identify factors associated with pelvic floor disorder. The level of significance was declared at a p-value of &amp;lt; 0.05.ResultsThe prevalence of pelvic floor disorder was 31.4% (95% CI = 26.9% to 35.8%). Being grand multiparous (AOR = 3.919, 95% CI = 1.495–10.276), having a history of instrumental delivery (AOR = 3.042, 95% CI = 1.483 to 6.241), having a history of perianal tearing (AOR = 2.972, 95% CI = 1.491 to 5.927), and having a medical disease (AOR= 2.698, 95% CI = 1.526 to 4.770) were factors associated with pelvic floor disorder.Conclusions and recommendationsThe prevalence of pelvic floor disorder was high in the study area. Parity, instrumental delivery, perianal tears, and medical problems were factors affecting the prevalence of pelvic floor disorder. There is a need for an improvement of policies and strategies focusing on prevention and treatment services to alleviate the problem.

Comparing full immunisation status of children (0–23 months) between slums of Kampala City and the rural setting of Iganga District in Uganda: a cross-sectional study

BackgroundImmunisation remains the most cost-effective public health intervention in preventing morbidity and mortality due to Vaccine-Preventable Diseases (VPDs). The study aims to compare the differences in immunisation coverage amongst children aged 0 to 23 months living in slums of Kampala city and Iganga as rural districts in Uganda.MethodsThis study utilises data from a cross-sectional survey done in 2019 in the slums of Kampala City and the rural district of Iganga within the Health and Demographic Surveillance Site (HDSS). It included 1016 children aged 0–23 months and their parents. A logistic regression model was used to analyse the relationship between multiple independent variables and the binary dependent variables (fully immunised) using Stata statistical software. The measures of association were odds ratios reported with a corresponding 95% confidence interval.ResultsOut of the 1016 participants, 544 participants live in the rural area and 472 participants in the slums. Slums had 48.9% (n = 231) of fully immunised children whilst rural areas had 43.20% (n = 235). The multivariate analysis showed that children living in slums are more likely to be fully immunised as compared to their counterparts in rural areas (Odds ratio:1.456; p = 0.033; CI:1.030–2.058). Immunisation coverage for BCG (98.9%), Polio 0 (88.2%), Penta1 (92.7%), and Pneumo1 (89.8%) were high in both settlements. However, the dropout rate for subsequent vaccines was high 17%, 20% and 41% for Penta, pneumococcal and rota vaccines respectively. There was poor uptake of the new vaccines with slums having 73.4% and 47.9% coverage for pneumococcal and rota vaccines respectively and rural areas had 72.1% and 7.5% for pneumococcal and rota vaccines respectively.ConclusionThe low full immunisation status in this study was attributed to the child’s residence and the occupation of the parents. Lack of education and poor access to messages on immunisation (inadequate access to mass media) are other contributing factors. Educational messages on the importance of immunisation targeting these underserved populations will improve full immunisation coverage.