Literature DB >> 23650485

An e-health decision support system for improving compliance of health workers to the maternity care protocols in South Africa.

V Horner, P Rautenbach, N Mbananga, T Mashamba, H Kwinda.   

Abstract

BACKGROUND: There are problems of quality in maternity services at primary health care level in South Africa. Many of these problems can be traced to non-adherence to the maternity care guidelines and lack of tools to support clinic staff and managers in their roles.
OBJECTIVE: The aim of this research was to investigate the utility of e-health (computerized) decision support systems at addressing the problem of compliance of health workers to the maternity care guidelines at primary health care in South Africa. At present there are no documented studies on e-health clinical decision support systems for primary health care in South Africa, though clinical decision support systems for primary health care are listed as part of the e-health strategy of the National Department of Health.
METHODS: An e-health decision support system named the Bacis (Basic Antenatal Care Information System) Program was developed, then implemented and evaluated at a primary health care clinic. The duration of the study was two years: this includes development, implementation and evaluation. RESULTS AND
CONCLUSION: There was an overall improvement in compliance from 85.1 % to 89.3%. This result was not statistically significant. However when results were stratified into specific categories, the Bacis Program showed statistically significant improvement in compliance over the checklist system in three out of nine important categories. These are compliance at booking, patients younger than 18 years and patients booking after week 20. Further, insights and experience were also gained on development and implementation of clinical information systems at resource strained environments such as primary health care in South Africa. These results, insights and experience are invaluable for the implementation of the proposed e-health strategy in South Africa.

Entities:  

Keywords:  Clinical decision support systems; guideline adherence; maternal health care; primary health care

Mesh:

Year:  2013        PMID: 23650485      PMCID: PMC3644812          DOI: 10.4338/ACI-2012-10-RA-0044

Source DB:  PubMed          Journal:  Appl Clin Inform        ISSN: 1869-0327            Impact factor:   2.342


  4 in total

1.  Audit of compliance with antenatal protocols.

Authors:  A F Yoong; J Lim; C N Hudson; T Chard
Journal:  BMJ       Date:  1992-11-14

Review 2.  Effectiveness and efficiency of guideline dissemination and implementation strategies.

Authors:  J M Grimshaw; R E Thomas; G MacLennan; C Fraser; C R Ramsay; L Vale; P Whitty; M P Eccles; L Matowe; L Shirran; M Wensing; R Dijkstra; C Donaldson
Journal:  Health Technol Assess       Date:  2004-02       Impact factor: 4.014

3.  Computerized decision support based on a clinical practice guideline improves compliance with care standards.

Authors:  D F Lobach; W E Hammond
Journal:  Am J Med       Date:  1997-01       Impact factor: 4.965

4.  Online practice guidelines: issues, obstacles, and future prospects.

Authors:  R D Zielstorff
Journal:  J Am Med Inform Assoc       Date:  1998 May-Jun       Impact factor: 4.497

  4 in total
  8 in total

1.  mHealth for Clinical Decision-Making in Sub-Saharan Africa: A Scoping Review.

Authors:  Ibukun-Oluwa Omolade Adepoju; Bregje Joanna Antonia Albersen; Vincent De Brouwere; Jos van Roosmalen; Marjolein Zweekhorst
Journal:  JMIR Mhealth Uhealth       Date:  2017-03-23       Impact factor: 4.773

2.  How and why front-line health workers (did not) use a multifaceted mHealth intervention to support maternal and neonatal healthcare decision-making in Ghana.

Authors:  Hannah Brown Amoakoh; Kerstin Klipstein-Grobusch; Evelyn Korkor Ansah; Diederick E Grobbee; Linda Yveoo; Irene Agyepong
Journal:  BMJ Glob Health       Date:  2019-03-08

Review 3.  Implementation science in maternity care: a scoping review.

Authors:  Ann Dadich; Annika Piper; Dominiek Coates
Journal:  Implement Sci       Date:  2021-02-04       Impact factor: 7.327

4.  The role of digital clinical decision support tool in improving quality of intrapartum and postpartum care: experiences from two states of India.

Authors:  Gulnoza Usmanova; Kamlesh Lalchandani; Ashish Srivastava; Chandra Shekhar Joshi; Deepak Chandra Bhatt; Anand Kumar Bairagi; Yashpal Jain; Mohammed Afzal; Rashmi Dhoundiyal; Jyoti Benawri; Tarun Chaudhary; Archana Mishra; Rajni Wadhwa; Pompy Sridhar; Nupur Bahl; Pratibha Gaikwad; Bulbul Sood
Journal:  BMC Pregnancy Childbirth       Date:  2021-04-07       Impact factor: 3.007

5.  Modelling Prenatal Care Pathways at a Central Hospital in Zimbabwe.

Authors:  Rodreck David; Ruth Evans; Hamish Sf Fraser
Journal:  Health Serv Insights       Date:  2021-12-03

Review 6.  Effective non-drug interventions for improving outcomes and quality of maternal health care in sub-Saharan Africa: a systematic review.

Authors:  Frederick M Wekesah; Chidozie E Mbada; Adamson S Muula; Caroline W Kabiru; Stella K Muthuri; Chimaraoke O Izugbara
Journal:  Syst Rev       Date:  2016-08-15

7.  The effect of an mHealth clinical decision-making support system on neonatal mortality in a low resource setting: A cluster-randomized controlled trial.

Authors:  Hannah Brown Amoakoh; Kerstin Klipstein-Grobusch; Irene Akua Agyepong; Nicolaas P A Zuithoff; Mary Amoakoh-Coleman; Gbenga A Kayode; Charity Sarpong; Johannes B Reitsma; Diederick E Grobbee; Evelyn K Ansah
Journal:  EClinicalMedicine       Date:  2019-07-04

8.  Can an mhealth clinical decision-making support system improve adherence to neonatal healthcare protocols in a low-resource setting?

Authors:  Hannah Brown Amoakoh; Kerstin Klipstein-Grobusch; Irene Akua Agyepong; Mary Amoakoh-Coleman; Gbenga A Kayode; J B Reitsma; Diederick E Grobbee; Evelyn K Ansah
Journal:  BMC Pediatr       Date:  2020-11-27       Impact factor: 2.125

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.