Literature DB >> 33001032

Building a Digital Tool for the Adoption of the World Health Organization's Antenatal Care Recommendations: Methodological Intersection of Evidence, Clinical Logic, and Digital Technology.

Samira M Haddad1,2, Renato T Souza1,2, Jose Guilherme Cecatti1,2, Maria Barreix3, Tigest Tamrat3, Carolyn Footitt4, Garrett L Mehl3, Inraini F Syah5, Anuraj H Shankar5,6,7, Özge Tunçalp3.   

Abstract

BACKGROUND: One of the key mandates of the World Health Organization (WHO) is to develop guidelines, defined as "a document containing recommendations for clinical practice or public health policy." Guidelines represent the global standard for information sources shaping clinical practice and public health policies. Despite the rigorous development process and the value of guidelines for setting standards, implementing such standards within local contexts and at the point of care is a well-documented challenge. Digital technologies enable agile information management and may facilitate the adaptation of guidelines to diverse settings of health services delivery.
OBJECTIVE: The objective of this paper is to detail the systematic and iterative process involved in transforming the WHO Antenatal Care (ANC) guidelines into a digital decision-support and patient-record application for routine use in primary health care settings, known as the WHO digital ANC module.
METHODS: The WHO convened a team of clinical and digital health experts to develop the WHO digital ANC module as a tool to assist health care professionals in the implementation of WHO evidence-based recommendations for pregnant women. The WHO digital ANC module's creation included the following steps: defining a minimum viable product (MVP), developing clinical workflows and algorithms, algorithm testing, developing a data dictionary, and the creation of a user interface or application development. The overall process of development took approximately 1 year to reach a stable prototype and to finalize the underlying content requirements of the data dictionary and decision support algorithms.
RESULTS: The first output is a reference software reflecting the generic WHO ANC guideline content, known as the WHO digital ANC module. Within it, all actionable ANC recommendations have related data fields and algorithms to confirm whether the associated task was performed. WHO recommendations that are not carried out by the health care worker are saved as pending tasks on a woman's health record, and those that are adequately fulfilled trigger messages with positive reinforcement. The second output consists of the structured documentation of the different components which contributed to the development of the WHO digital ANC module, such as the data dictionary and clinical decision support workflows.
CONCLUSIONS: This is a novel approach to facilitate the adoption and adaptation of recommendations through digital systems at the health service delivery level. It is expected that the WHO digital ANC module will support the implementation of evidence-based practices and provide information for monitoring and surveillance; however, further evidence is needed to understand how the WHO digital ANC module impacts the implementation of WHO recommendations. Further, the module's implementation will inform the WHO's ongoing efforts to create a pathway to adaptive and integrated (Smart) Guidelines in Digital Systems to improve health system quality, coverage, and accountability. ©Samira M Haddad, Renato T Souza, Jose Guilherme Cecatti, Maria Barreix, Tigist Tamrat, Carolyn Footitt, Garrett L Mehl, Inraini F Syah, Anuraj H Shankar, Özge Tunçalp. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 01.10.2020.

Entities:  

Keywords:  WHO guidelines; antenatal care; clinical decision support; digital health; evidence-based; implementation; requirements gathering

Year:  2020        PMID: 33001032      PMCID: PMC7983224          DOI: 10.2196/16355

Source DB:  PubMed          Journal:  J Med Internet Res        ISSN: 1438-8871            Impact factor:   5.428


  19 in total

1.  A multi-layered framework for disseminating knowledge for computer-based decision support.

Authors:  Aziz A Boxwala; Beatriz H Rocha; Saverio Maviglia; Vipul Kashyap; Seth Meltzer; Jihoon Kim; Ruslana Tsurikova; Adam Wright; Marilyn D Paterno; Amanda Fairbanks; Blackford Middleton
Journal:  J Am Med Inform Assoc       Date:  2011-11-03       Impact factor: 4.497

Review 2.  Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: a systematic review.

Authors:  Amit X Garg; Neill K J Adhikari; Heather McDonald; M Patricia Rosas-Arellano; P J Devereaux; Joseph Beyene; Justina Sam; R Brian Haynes
Journal:  JAMA       Date:  2005-03-09       Impact factor: 56.272

3.  A model of ambiguity and vagueness in clinical practice guideline recommendations.

Authors:  Shlomi Codish; Richard N Shiffman
Journal:  AMIA Annu Symp Proc       Date:  2005

Review 4.  Improving clinical practice using clinical decision support systems: a systematic review of trials to identify features critical to success.

Authors:  Kensaku Kawamoto; Caitlin A Houlihan; E Andrew Balas; David F Lobach
Journal:  BMJ       Date:  2005-03-14

5.  No magic bullets: a systematic review of 102 trials of interventions to improve professional practice.

Authors:  A D Oxman; M A Thomson; D A Davis; R B Haynes
Journal:  CMAJ       Date:  1995-11-15       Impact factor: 8.262

Review 6.  Implementation research evidence uptake and use for policy-making.

Authors:  Ulysses Panisset; Tracey Pérez Koehlmoos; Ahmad Hamdi Alkhatib; Tomás Pantoja; Prabal Singh; Jane Kengey-Kayondo; Ben McCutchen
Journal:  Health Res Policy Syst       Date:  2012-07-02

7.  Barriers, Facilitators and Priorities for Implementation of WHO Maternal and Perinatal Health Guidelines in Four Lower-Income Countries: A GREAT Network Research Activity.

Authors:  Joshua P Vogel; Julia E Moore; Caitlyn Timmings; Sobia Khan; Dina N Khan; Atkure Defar; Azmach Hadush; Marta Minwyelet Terefe; Luwam Teshome; Katherine Ba-Thike; Kyu Kyu Than; Ahmad Makuwani; Godfrey Mbaruku; Mwifadhi Mrisho; Kidza Yvonne Mugerwa; Lisa M Puchalski Ritchie; Shusmita Rashid; Sharon E Straus; A Metin Gülmezoglu
Journal:  PLoS One       Date:  2016-11-02       Impact factor: 3.240

Review 8.  Implementation of the new WHO antenatal care model for a positive pregnancy experience: a monitoring framework.

Authors:  Samantha R Lattof; Allisyn C Moran; Nancy Kidula; Ann-Beth Moller; Chandani Anoma Jayathilaka; Theresa Diaz; Özge Tunçalp
Journal:  BMJ Glob Health       Date:  2020-06

Review 9.  Developing measures for WHO recommendations on antenatal care for a positive pregnancy experience: a conceptual framework and scoping review.

Authors:  Samantha R Lattof; Özge Tunçalp; Allisyn C Moran; Maurice Bucagu; Doris Chou; Theresa Diaz; Ahmet Metin Gülmezoglu
Journal:  BMJ Open       Date:  2019-04-24       Impact factor: 2.692

10.  Do guidelines influence the implementation of health programs?--Uganda's experience.

Authors:  Juliet Nabyonga Orem; Juliet Bataringaya Wavamunno; Solome K Bakeera; Bart Criel
Journal:  Implement Sci       Date:  2012-10-15       Impact factor: 7.327

View more
  2 in total

1.  A digital health registry with clinical decision support for improving quality of antenatal care in Palestine (eRegQual): a pragmatic, cluster-randomised, controlled, superiority trial.

Authors:  Mahima Venkateswaran; Buthaina Ghanem; Eatimad Abbas; Khadija Abu Khader; Itimad Abu Ward; Tamara Awwad; Mohammad Baniode; Michael James Frost; Taghreed Hijaz; Mervett Isbeih; Kjersti Mørkrid; Christopher J Rose; J Frederik Frøen
Journal:  Lancet Digit Health       Date:  2022-02

2.  Number of antenatal care utilization and associated factors among pregnant women in Ethiopia: zero-inflated Poisson regression of 2019 intermediate Ethiopian Demography Health Survey.

Authors:  Mastewal Arefaynie; Bereket Kefale; Melaku Yalew; Bezawit Adane; Reta Dewau; Yitayish Damtie
Journal:  Reprod Health       Date:  2022-02-05       Impact factor: 3.223

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.