Literature DB >> 17676502

Using health and demographic surveillance to understand the burden of disease in populations: the case of tuberculosis in rural South Africa.

Paul M Pronyk1, Kathleen Kahn, Stephen M Tollman.   

Abstract

AIMS: To utilize the Agincourt health and demographic surveillance system (HDSS) platform to assess the burden of pulmonary tuberculosis (PTB) in a rural South African sub-district.
METHODS: During 1999, data from three sources were combined to estimate disease prevalence amongst a non-migrant adult population: (1) passive case-finding (PCF) through hospital register data; (2) active case finding (ACF) using a systematic household assessment of chronic coughers; and (3) verbal autopsy (VA) data on cause of death.
RESULTS: Of 66,840 residents, 38,251 permanent adult residents were included in the analysis. A total of 102 cases of PTB were detected through PCF. ACF sweep detected 366 chronic coughers with 6 cases of confirmed PTB. Among 28 PTB deaths detected by VA, 13 (46%) were not previously identified by the health service. The total PTB prevalence was 157/100,000; 110/100,000 of prevalent cases were detected by PCF. Among undetected cases, 24/100,000 were identified through ACF, while 23/100,000 were detected by the VA process.
CONCLUSIONS: Amongst prevalent PTB cases in the permanent adult population, 70% were detected by the health service; 15% of cases were undiagnosed in the community, while an equal proportion died of PTB prior to diagnosis. The latter groups contributed disproportionately to infectiousness in the community through prolonged duration of symptoms. As most of these cases presented to the health service on a number of occasions, strengthening early case detection should remain the cornerstone of TB control efforts. Strategies to strengthen the application of health & demographic surveillance systems to disease surveillance are discussed.

Entities:  

Mesh:

Year:  2007        PMID: 17676502      PMCID: PMC2830099          DOI: 10.1080/14034950701355767

Source DB:  PubMed          Journal:  Scand J Public Health Suppl        ISSN: 1403-4948            Impact factor:   3.021


  10 in total

1.  Who dies from what? Determining cause of death in South Africa's rural north-east.

Authors:  K Kahn; S M Tollman; M Garenne; J S Gear
Journal:  Trop Med Int Health       Date:  1999-06       Impact factor: 2.622

2.  The Agincourt field site--evolution and current status.

Authors:  S M Tollman
Journal:  S Afr Med J       Date:  1999-08

3.  Use of polymerase chain reaction for early identification of Mycobacterium tuberculosis in positive cultures.

Authors:  M G Cormican; T Barry; F Gannon; J Flynn
Journal:  J Clin Pathol       Date:  1992-07       Impact factor: 3.411

Review 4.  What can information systems do for primary health care? An international perspective.

Authors:  P Sandiford; H Annett; R Cibulskis
Journal:  Soc Sci Med       Date:  1992-05       Impact factor: 4.634

5.  The problem of the chronic excretor of tubercle bacilli.

Authors:  K Stýblo; A Kubík; M Langerová; E Matusková; K Morávková
Journal:  Scand J Respir Dis       Date:  1968

6.  Assessing health seeking behaviour among tuberculosis patients in rural South Africa.

Authors:  R M Pronyk; M B Makhubele; J R Hargreaves; S M Tollman; H P Hausler
Journal:  Int J Tuberc Lung Dis       Date:  2001-07       Impact factor: 2.373

7.  Tuberculosis Surveillance Research Unit Report No. 1: the transmission of tubercle bacilli; its trend in a human population.

Authors:  K Stýblo; J Meijer; I Sutherland
Journal:  Bull Int Union Tuberc       Date:  1969-08

8.  Validation and application of verbal autopsies in a rural area of South Africa.

Authors:  K Kahn; S M Tollman; M Garenne; J S Gear
Journal:  Trop Med Int Health       Date:  2000-11       Impact factor: 2.622

9.  Global tuberculosis incidence and mortality during 1990-2000.

Authors:  P J Dolin; M C Raviglione; A Kochi
Journal:  Bull World Health Organ       Date:  1994       Impact factor: 9.408

10.  Undiagnosed pulmonary tuberculosis deaths in rural South Africa.

Authors:  P M Pronyk; K Kahn; J R Hargreaves; S M Tollman; M Collinson; H P Hausler; J D H Porter
Journal:  Int J Tuberc Lung Dis       Date:  2004-06       Impact factor: 2.373

  10 in total
  7 in total

1.  Affordability, availability and acceptability barriers to health care for the chronically ill: longitudinal case studies from South Africa.

Authors:  Jane Goudge; Lucy Gilson; Steven Russell; Tebogo Gumede; Anne Mills
Journal:  BMC Health Serv Res       Date:  2009-05-09       Impact factor: 2.655

2.  Health and Demographic Surveillance System in the Western and coastal areas of Kenya: an infrastructure for epidemiologic studies in Africa.

Authors:  Satoshi Kaneko; James K'opiyo; Ibrahim Kiche; Sheru Wanyua; Kensuke Goto; Junichi Tanaka; Mwatasa Changoma; Morris Ndemwa; Osuke Komazawa; Mohamed Karama; Kazuhiko Moji; Masaaki Shimada
Journal:  J Epidemiol       Date:  2012-02-25       Impact factor: 3.211

3.  Two decades of mortality change in rural northeast South Africa.

Authors:  Chodziwadziwa W Kabudula; Stephen Tollman; Paul Mee; Sizzy Ngobeni; Bernard Silaule; F Xavier Gómez-Olivé; Mark Collinson; Kathleen Kahn; Peter Byass
Journal:  Glob Health Action       Date:  2014-10-29       Impact factor: 2.640

4.  Prevalence and Incidence of Smear-Positive Pulmonary Tuberculosis in the Hetosa District of Arsi Zone, Oromia Regional State of Central Ethiopia.

Authors:  ShalloDaba Hamusse; Meaza Demissie; Dejene Teshome; Mohammed Suaudi Hassen; Bernt Lindtjørn
Journal:  BMC Infect Dis       Date:  2017-03-16       Impact factor: 3.090

5.  Establishing a health demographic surveillance site in Bhaktapur district, Nepal: initial experiences and findings.

Authors:  Umesh Raj Aryal; Abhinav Vaidya; Suraj Shakya-Vaidya; Max Petzold; Alexandra Krettek
Journal:  BMC Res Notes       Date:  2012-09-05

6.  The clustering of smear-positive tuberculosis in Dabat, Ethiopia: a population based cross sectional study.

Authors:  Takele Tadesse; Meaza Demissie; Yemane Berhane; Yigzaw Kebede; Markos Abebe
Journal:  PLoS One       Date:  2013-05-23       Impact factor: 3.240

7.  Do surveys with paper and electronic devices differ in quality and cost? Experience from the Rufiji Health and demographic surveillance system in Tanzania.

Authors:  Oscar Mukasa; Hildegalda P Mushi; Nicolas Maire; Amanda Ross; Don de Savigny
Journal:  Glob Health Action       Date:  2017       Impact factor: 2.640

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.