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Evaluation of the malaria reporting system supported by the District Health Information System 2 in Solomon Islands.
Wangdi, Kinley; Sarma, Haribondu; Leaburi, John; McBryde, Emma; Clements, Archie C A.
Afiliação
  • Wangdi K; Department of Global Health, Research School of Population Health, College of Health and Medicine, The Australian National University, 62 Mills Road, Canberra, ACT 2601, Australia. kinley.wangdi@anu.edu.au.
  • Sarma H; National Centre of Epidemiology and Population Health, Research School of Population Health, College of Health and Medicine, The Australian National University, Canberra, Australia.
  • Leaburi J; National Vector Borne Disease Control Programme, Ministry of Health and Medical Services, Honiara, Solomon Islands.
  • McBryde E; Australian Institute of Tropical Health & Medicine, Centre for Biosecurity in Tropical Infectious Diseases, James Cooks University, Townsville, Australia.
  • Clements ACA; Faculty of Health Sciences, Curtin University, Bentley, Australia.
Malar J ; 19(1): 372, 2020 Oct 17.
Article em En | MEDLINE | ID: mdl-33069245
ABSTRACT

BACKGROUND:

District Health Information Systems 2 (DHIS2) is used for supporting health information management in 67 countries, including Solomon Islands. However, there have been few published evaluations of the performance of DHIS2-enhanced disease reporting systems, in particular for monitoring infectious diseases such as malaria. The aim of this study was to evaluate DHIS2 supported malaria reporting in Solomon Islands and to develop recommendations for improving the system.

METHODS:

The evaluation was conducted in three administrative areas of Solomon Islands Honoria City Council, and Malaita and Guadalcanal Provinces. Records of nine malaria indicators including report submission date, total malaria cases, Plasmodium falciparum case record, Plasmodium vivax case record, clinical malaria, malaria diagnosed with microscopy, malaria diagnosed with (rapid diagnostic test) (RDT), record of drug stocks and records of RDT stocks from 1st January to 31st December 2016 were extracted from the DHIS2 database. The indicators permitted assessment in four core areas availability, completeness, timeliness and reliability. To explore perceptions and point of view of the stakeholders on the performance of the malaria case reporting system, focus group discussions were conducted with health centre nurses, whilst in-depth interviews were conducted with stakeholder representatives from government (province and national) staff and World Health Organization officials who were users of DHIS2.

RESULTS:

Data were extracted from nine health centres in Honoria City Council and 64 health centres in Malaita Province. The completeness and timeliness from the two provinces of all nine indicators were 28.2% and 5.1%, respectively. The most reliable indicator in DHIS2 was 'clinical malaria' (i.e. numbers of clinically diagnosed malaria cases) with 62.4% reliability. Challenges to completeness were a lack of supervision, limited feedback, high workload, and a lack of training and refresher courses. Health centres located in geographically remote areas, a lack of regular transport, high workload and too many variables in the reporting forms led to delays in timely reporting. Reliability of reports was impacted by a lack of technical professionals such as statisticians and unavailability of tally sheets and reporting forms.

CONCLUSION:

The availability, completeness, timeliness and reliability of nine malaria indicators collected in DHIS2 were variable within the study area, but generally low. Continued onsite support, supervision, feedback and additional enhancements, such as electronic reporting will be required to further improve the malaria reporting system.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Gestão da Informação em Saúde / Sistemas de Informação em Saúde / Malária Tipo de estudo: Guideline / Qualitative_research Idioma: En Revista: Malar J Assunto da revista: MEDICINA TROPICAL Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Austrália

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Gestão da Informação em Saúde / Sistemas de Informação em Saúde / Malária Tipo de estudo: Guideline / Qualitative_research Idioma: En Revista: Malar J Assunto da revista: MEDICINA TROPICAL Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Austrália