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Incorporating selected non-communicable diseases into facility-based surveillance systems from a resource-limited setting in Africa.

ABSTRACT: BACKGROUND:As Mozambique faces a double burden of diseases, with a rise of Non Communicable Diseases (NCD) superimposed to uncontrolled communicable diseases (CD), routine disease surveillance system does not include NCD. The objectives of our study were to i) upgrade of the current surveillance system by adapting the data collection tools to NCD; ii) describe the occurrence and profile of selected NCD using these data collection tools. METHODS:Workshops were implemented in a first referral urban hospital of Mozambique to train clinical staff, administrative workers and nurses on NCD surveillance, as well as select conditions to be prioritized. Based on the WHO Global Action Plan and Brazaville Declaration for NCD prevention and control, we selected arterial hypertension, diabetes, stroke, chronic respiratory diseases, mental illness and cancers. Data collection tools used for CD were changed to include age, gender, outcome and visit type. Between February/2014 and January/2015 we collected data at an urban hospital in Mozambique's capital. RESULTS:Over 12?months 92,018 new patients were assisted in this hospital. Data was missing or diagnosis was unreadable in 2637 (2.9%) thus only 89,381 were used for analysis; of these 6423 (median age 27?years; 58.4% female) had at least one selected NCD as their primary diagnosis: arterial hypertension (2397;37.31%), mental illness (1497;23.30%), asthma (1495;23.28%), diabetes (628;9.78%), stroke (299;4.66%), chronic obstructive pulmonary disease 61 (0.95%) and cancers 46 (0.72%). Emergency transfers were needed for 76 patients (1.2%), mainly due to hypertensive emergencies (31; 40.8%) and stroke (18;23.7%). Twenty-four patients died at entry points (0.3%); 10 of them had hypertensive emergencies. CONCLUSION:Changes in existing surveillance tools for communicable diseases provided important data on the burden and outcomes of the selected NCD helping to identify priority areas for training and health care improvement. This information can be used to design the local NCD clinics and to strengthen the health information system in resource-limited settings in a progressive and sustainable way.

SUBMITTER: Mocumbi AO

PROVIDER: S-EPMC6360799 | biostudies-other | 2019 Feb

REPOSITORIES: biostudies-other

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Incorporating selected non-communicable diseases into facility-based surveillance systems from a resource-limited setting in Africa.

Mocumbi A O AO Langa D C DC Chicumbe S S Schumacher A E AE Al-Delaimy W K WK

BMC public health 20190204 1

<h4>Background</h4>As Mozambique faces a double burden of diseases, with a rise of Non Communicable Diseases (NCD) superimposed to uncontrolled communicable diseases (CD), routine disease surveillance system does not include NCD. The objectives of our study were to i) upgrade of the current surveillance system by adapting the data collection tools to NCD; ii) describe the occurrence and profile of selected NCD using these data collection tools.<h4>Methods</h4>Workshops were implemented in a firs ...[more]

PMID: 30717732

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Project description:BackgroundThe achievement of the World Health Organization's END TB goals will depend on the successful implementation of strategies for early diagnosis and retention of patients on effective therapy until cure. An estimated 150,000 cases are missed annually in South Africa. It is necessary to look at means for identifying these missed cases. This requires the implementation of active surveillance for TB, a policy adopted by the National Department of Health.AimTo explore the views of managers of the TB program on the implementation of active surveillance for TB in the resource constrained setting of the Eastern Cape, South Africa.MethodsA descriptive, explorative, thematically analysed qualitative study based on 10 semi-structured interviews of managers of the TB program. Interviews were transcribed verbatim and analysed using the framework method and Atlas-ti.ResultsActive case finding of people attending health facilities was the dominant approach, although screening by community health workers (CHWs) was available. Both government and non-government organisations employed CHWs to screen door to door and sometimes as part of campaigns or community events. Some CHWs focused only on contact tracing or people that were non-adherent to TB treatment. Challenges for CHWs included poor coordination and duplication of services, failure to investigate those identified in the community, lack of transport and supportive supervision as well as security issues. Successes included expanding coverage by government CHW teams, innovations to improve screening, strategies to improve CHW capability and attention to social determinants.ConclusionA multifaceted facility- and community-based approach was seen as ideal for active surveillance. More resources should be targeted at strengthening teams of CHWs, for whom this would be part of a comprehensive and integrated service in a community-orientated primary care framework, and community engagement to strengthen community level interventions.

Project description:OBJECTIVE:This study assessed the readiness of health facilities to provide outpatient management of non-communicable diseases using a nationally representative sample of health facilities from Tanzania as an example of a low-resource country. DESIGN:Facility-based cross-sectional survey. SETTING:This study analysed data collected from public and private-owned dispensaries/clinics, health centres and hospitals during the 2014-2015 Tanzania Service Provision Assessment survey. PRIMARY OUTCOME MEASURES:Three outcome variables are included in this study, namely readiness of facilities to provide outpatient management for diabetes, hypertension and chronic respiratory diseases. These were composite variables measured based on availability of indicators identified in the WHO-Service Availability and Readiness Assessment manual. These indicators were grouped into three domains, viz staff training and guidelines, basic diagnostic equipment and basic medicines. Readiness was measured by assessing the presence of required indicators in each of these domains. RESULTS:Out of 1188 health facilities assessed, 52.1%, 64.8% and 60.9% reported providing services related to diabetes, hypertension and chronic respiratory diseases, respectively. A few facilities reported having treatment guidelines (33.2%) or staff trained to provide non-communicable disease services (10.4%). The availability of basic diagnostic equipment and medicines for these diseases was significantly lower in public lower level facilities than in their private counterparts (p<0.05). Facilities located in urban settings as well as higher level (health centre and hospitals) and publicly owned facilities were significantly associated with increased service readiness index for providing outpatient management of non-communicable diseases. CONCLUSION:A fair distribution of resources through the 'push' system of refresher training, treatment guidelines, medicines and diagnostic equipment from higher authorities or other agencies may be one way of strengthening the readiness of lower level and public facilities to cope with the increasing burden of non-communicable diseases in low-resource countries such as Tanzania.

Project description:BackgroundCommunicable diseases pose a severe threat to public health and economic growth. The traditional methods that are used for public health surveillance, however, involve many drawbacks, such as being labor intensive to operate and resulting in a lag between data collection and reporting. To effectively address the limitations of these traditional methods and to mitigate the adverse effects of these diseases, a proactive and real-time public health surveillance system is needed. Previous studies have indicated the usefulness of performing text mining on social media.ObjectiveTo conduct a systematic review of the literature that used textual content published to social media for the purpose of the surveillance and prediction of communicable diseases.MethodologyBroad search queries were formulated and performed in four databases. Both journal articles and conference materials were included. The quality of the studies, operationalized as reliability and validity, was assessed. This qualitative systematic review was guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines.ResultsTwenty-three publications were included in this systematic review. All studies reported positive results for using textual social media content to surveille communicable diseases. Most studies used Twitter as a source for these data. Influenza was studied most frequently, while other communicable diseases received far less attention. Journal articles had a higher quality (reliability and validity) than conference papers. However, studies often failed to provide important information about procedures and implementation.ConclusionText mining of health-related content published on social media can serve as a novel and powerful tool for the automated, real-time, and remote monitoring of public health and for the surveillance and prediction of communicable diseases in particular. This tool can address limitations related to traditional surveillance methods, and it has the potential to supplement traditional methods for public health surveillance.

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Project description:Unprecedented levels of habitat transformation and rapid urbanisation are changing the way individuals interrelate with the natural environment in developing countries with high economic disparities. Although the potential benefit of green environments for mental health has been recognised, population-level evidence to this effect is scarce. We investigated the effect of green living environment in potentially countering incident depression in a nationally representative survey in South Africa.We used panel data from the South African National Income Dynamics Study (SA-NIDS). Our study used SA-NIDS data from three waves: wave 1 (2008), wave 2 (2010), and wave 3 (2012). Households were sampled on the basis of a stratified two-stage cluster design. In the first stage, 400 primary sampling units were selected for inclusion. In the second stage, two clusters of 12 dwelling units each were drawn from within each primary sampling unit (or 24 dwelling units per unit). Household and individual adult questionnaires were administered to participants. The main outcome, incident depression (ie, incident cohort of 11 156 study participants without significant depression symptoms at their first entry into SA-NIDS), was assessed in the adult survey via a ten item version of the Center for Epidemiologic Studies Depression Scale; a total score of ten or higher was used as a cutoff to indicate significant depressive symptoms. Each participant was assigned a value for green living space via a satellite-derived normalised difference vegetation index (NDVI) based on the GPS coordinates of their household location.Overall, we found uneven benefit of NDVI on incident depression among our study participants. Although the green living environment showed limited benefit across the study population as a whole, our final analysis based on logistic regression models showed that higher NDVI was a predictor of lower incident depression among middle-income compared with low-income participants (adjusted odds ratio [aOR] 0·98, 0·97-0·99, p<0·0001), although when this analysis was broken down by race, its positive effect was particularly evident amongst African individuals. Living in rural areas was linked to lower odds of incident depression (aOR 0·71, 0·55-0·92, p=0·011) compared with study participants residing in urban informal areas that often lack formal planning.Our results imply the importance of green environments for mental wellbeing in sub-Saharan African settings experiencing rapid urbanisation, economic and epidemiological transition, reaffirming the need to incorporate environmental services and benefits for sustainable socioeconomic development.South African Medical Research Council, National Institutes of Health, and Academy of Finland.

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Incorporating selected non-communicable diseases into facility-based surveillance systems from a resource-limited setting in Africa.

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Incorporating selected non-communicable diseases into facility-based surveillance systems from a resource-limited setting in Africa.

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