Evidence map›Paper›PMID 39237285›Full record

ArticleBMJ open2024

Protocol of digital decision support system (DDSS) embedded within a tele-primary healthcare platform in Pakistan: an assessment of usability, acceptability, effectiveness and perceived quality of care in a resource-constrained setting.

Hasan Nawaz Tahir, Shifa Habib, Rawshan Jabeen, Anny Dhanwani, Samrah Jawed, Lorena Guerrero-Torres, Sara Saeed Khurram, Iffat Zafar Aga, Mahek Karim, Abdul Momin Kazi and 1 more

Abstract read
In one paragraph

Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
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

11 authors.

Hasan Nawaz TahirDepartment of Community Health Sciences, The Aga Khan University, Karachi, Pakistan hasan.nawaz@aku.edu.ORCID 0000-0002-8710-3314
Shifa HabibDepartment of Community Health Sciences, The Aga Khan University, Karachi, Pakistan.
Rawshan JabeenDepartment of Paediatrics and Child Health, The Aga Khan University, Karachi, Pakistan.ORCID 0000-0003-1543-8657
Anny DhanwaniDepartment of Community Health Sciences, The Aga Khan University, Karachi, Pakistan.
Samrah JawedDepartment of Community Health Sciences, The Aga Khan University, Karachi, Pakistan.
Lorena Guerrero-TorresAlliance for Health Policy and Systems Research, WHO, Geneva, Switzerland.
Sara Saeed KhurramPublic Health and Digital Health, Sehat Kahani C/O Community Innovation Hub, Karachi, Pakistan.
Iffat Zafar AgaPublic Health, Sehat Kahani, Karachi, Pakistan.
Mahek KarimDepartment of Community Health Sciences, The Aga Khan University, Karachi, Pakistan.ORCID 0009-0003-8300-9210
Abdul Momin KaziThe Aga Khan University, Karachi, Pakistan.ORCID 0000-0001-8253-1777
Shehla ZaidiDepartment of Community Health Sciences, The Aga Khan University, Karachi, Pakistan.ORCID 0000-0001-7620-9247

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundA digital decision support system in healthcare is a digital health intervention that assists healthcare professionals in decision-making by providing treatment recommendations and enhancing diagnostic accuracy and quality of care. This will be the first study in Pakistan to assess the system's usability, acceptability and effectiveness in improving healthcare outcomes while also evaluating the perceived quality of care. This comprehensive assessment will inform policy development in areas such as the scale-up of digital health interventions, data privacy and technology interoperability. Measures of effectiveness will include changes in clinical outcomes through a patient exit feedback survey. This study aims to evaluate the role of digital decision support systems in healthcare decision-making, which may be integrated into Pakistan's tele-primary healthcare system.

methodsThe study will employ a multimethod approach. The data collection tools are adapted from the WHO's digital health intervention monitoring and evaluation framework and include a technology assessment, healthcare provider surveys, patient exit interviews and focus group discussions with healthcare providers. Purposive sampling will be used for qualitative interviews with providers (doctors) and patients. Government stakeholders, private sectors, multilateral, academia and policymakers will be engaged through a consultative meeting. We will also conduct a literature review, as well as a comprehensive analysis of existing studies, documents and data relevant to digital decision support systems and digital health interventions implemented globally, and assess the performance, challenges and opportunities. ETHICS AND DISSEMINATION: The study has been approved by the Ethics Review Committee at The Aga Khan University (2023-8514-26533). The dissemination of study findings through scientific publications and seminars will enable programme managers and policymakers to design tools to improve the quality of care provided through telemedicine platforms. This will contribute to efficient decision-making, access and quality of care for primary healthcare in low-income and middle-income countries. This study will also inform policy regarding the scale-up of decision support systems in primary care settings, data privacy and technology interoperability.

Indexed as

Decision Support Systems, ClinicalPrimary Health CareQuality of Health CareTelemedicineFocus GroupsHumansPakistanclinical governancefeasibility studieshealth equityhealth policyprotocols & guidelines

Identifiers

PMID39237285
PMCPMC11381695

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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 Socratic graph.