Evidence map›Paper›PMID 33530879›Full record

ArticleGlobal health action2021

Approaches, achievements, challenges, and lessons learned in setting up an urban-based Health and Demographic Surveillance System in South Africa.

Sunday A Adedini, Dineo Thaele, Matshidiso Sello, Portia Mutevedzi, Cleopas Hywinya, Nonhlanhla Ngwenya, Nellie Myburgh, Shabir A Madhi

Abstract read
In one paragraph

Article in Global health action, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Sunday A AdediniMedical Research Council: Vaccine and Infectious Disease Analytics Research Unit, Faculty of Health Sciences, University of the Witwatersrand , Johannesburg, South Africa.ORCID 0000-0003-0378-1941
Dineo ThaeleMedical Research Council: Vaccine and Infectious Disease Analytics Research Unit, Faculty of Health Sciences, University of the Witwatersrand , Johannesburg, South Africa.
Matshidiso SelloMedical Research Council: Vaccine and Infectious Disease Analytics Research Unit, Faculty of Health Sciences, University of the Witwatersrand , Johannesburg, South Africa.
Portia MutevedziMedical Research Council: Vaccine and Infectious Disease Analytics Research Unit, Faculty of Health Sciences, University of the Witwatersrand , Johannesburg, South Africa.
Cleopas HywinyaMedical Research Council: Vaccine and Infectious Disease Analytics Research Unit, Faculty of Health Sciences, University of the Witwatersrand , Johannesburg, South Africa.
Nonhlanhla NgwenyaMedical Research Council: Vaccine and Infectious Disease Analytics Research Unit, Faculty of Health Sciences, University of the Witwatersrand , Johannesburg, South Africa.
Nellie MyburghMedical Research Council: Vaccine and Infectious Disease Analytics Research Unit, Faculty of Health Sciences, University of the Witwatersrand , Johannesburg, South Africa.
Shabir A MadhiMedical Research Council: Vaccine and Infectious Disease Analytics Research Unit, Faculty of Health Sciences, University of the Witwatersrand , Johannesburg, South Africa.ORCID 0000-0002-7629-0636

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reliable civil registration and vital statistics (CRVSs) are essential for estimating mortality rates and population changes, and are critical for public health and socio-economic planning. CRVSs are largely incomplete in Africa, thus Health and Demographic Surveillance Systems (HDSSs) fill gaps in CRVSs, albeit existing HDSSs in South Africa are in rural areas. This limits the generalisability of such data in a country such as South Africa where over 60% live in urban areas, and where there are limitations to access health and social services. We describe the approaches, achievements, challenges and lessons learned in setting up a HDSS site in Soweto and Thembelihle (SaT-HDSS), Johannesburg; which is the first urban-based HDSS in Southern Africa. We also highlight a number of studies being implemented in the HDSS. In 2017-2020, the HDSS has enrolled 124,169 individuals and followed up 95% of this population through 3 rounds of data collection. Several challenges were encountered during the initiation of the HDSS, including difficulties in community mobilisation and entry, stakeholders' engagement and participation, inaccessibility problems and concerns about safety of fieldworkers, and difficulty in getting/recruiting technical staff with requisite experience. Nevertheless, the SaT-HDSS was successfully established through application of several strategies, including continuous community engagement and stakeholders' mobilisation; in-depth training and retraining of all study staff; technical support from well-established HDSS sites across Africa, and international academic collaborations. Despite the challenges of undertaking routine surveillance of a hard-to-reach and highly mobile population, the SaT-HDSS was successfully established with a high-retention rate. The HDSS offers an important lens on morbidity and mortality and serves as a platform for pilots of interventions and programmes aimed at improving health and well-being of an urban population.

Indexed as

Population SurveillanceVital StatisticsAfrica, SouthernHumansSouth AfricaUrban Healthchild healthdemographic surveillancePublic healthsouth Africaurban

Identifiers

PMID33530879
PMCPMC8018403

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.