1
|
Endehabtu BF, Gelaye KA, Mengiste SA, Tilahun B. Mapping the Role of Digital Health Interventions to Enhance Effective Coverage of Antenatal Care: A Scoping Review. J Multidiscip Healthc 2024; 17:71-82. [PMID: 38196936 PMCID: PMC10775799 DOI: 10.2147/jmdh.s438097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Accepted: 12/22/2023] [Indexed: 01/11/2024] Open
Abstract
Background Antenatal care (ANC) is a core component of maternal health services. However, only half of the pregnant women in LMICs obtain WHO recommended minimum of four antenatal contacts. In addition, ANC 4+ is a commonly used indicator in monitoring ANC utilization. However, contact coverage alone provides no indications of service quality. In recent years, digital health interventions bring opportunities to provide quality maternal health care. Yet, there are few reviews on how digital health interventions contribute to improving effective coverage of antenatal care. A rigorous review that examines the role of digital health interventions in improving effective coverage of antenatal care is needed to examine how digital health solutions were rapidly deployed to support quality antenatal care service delivery. Objective This review aimed to map evidence on the role of digital health solutions on quality of antenatal care service to enhance effective ANC coverage. Methods A scoping review approach was used and four Databases (PubMed, Cochrane Library, Scopus and Embase) as well as search engines like Advanced Google Search and Google Scholar were searched from September 1 to 8, 2022. Thematic content analysis was used to present the findings. Results A total of 1701 articles were searched. A total of 27 full-text studies were included in the final analysis. The most reported use of digital health was for client education and behavior change communication. Most studies showed that digital health interventions have proven effective in improving antenatal care. However, most of the studies did not address to assess the quality of ANC services. Conclusion In this review, we found out that digital health solutions targeted at pregnant women can improve antenatal care services. There is body of evidence showing the effectiveness of digital health interventions on a range of maternal health outcomes. Few pieces of literature exist on the use of digital health interventions on the quality of antenatal care services. There is a need for more trial and program evaluation studies that examine the role of digital health interventions on the quality of ANC.
Collapse
Affiliation(s)
- Berhanu Fikadie Endehabtu
- Department of Health Informatics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
- Center for Digital Health and Implementation Science, University of Gondar, Gondar, Ethiopia
| | - Kassahun Alemu Gelaye
- Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | | | - Binyam Tilahun
- Department of Health Informatics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
- Center for Digital Health and Implementation Science, University of Gondar, Gondar, Ethiopia
| |
Collapse
|
2
|
van Kessel R, Roman-Urrestarazu A, Anderson M, Kyriopoulos I, Field S, Monti G, Reed SD, Pavlova M, Wharton G, Mossialos E. Mapping Factors That Affect the Uptake of Digital Therapeutics Within Health Systems: Scoping Review. J Med Internet Res 2023; 25:e48000. [PMID: 37490322 PMCID: PMC10410406 DOI: 10.2196/48000] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2023] [Revised: 05/31/2023] [Accepted: 06/16/2023] [Indexed: 07/26/2023] Open
Abstract
BACKGROUND Digital therapeutics are patient-facing digital health interventions that can significantly alter the health care landscape. Despite digital therapeutics being used to successfully treat a range of conditions, their uptake in health systems remains limited. Understanding the full spectrum of uptake factors is essential to identify ways in which policy makers and providers can facilitate the adoption of effective digital therapeutics within a health system, as well as the steps developers can take to assist in the deployment of products. OBJECTIVE In this review, we aimed to map the most frequently discussed factors that determine the integration of digital therapeutics into health systems and practical use of digital therapeutics by patients and professionals. METHODS A scoping review was conducted in MEDLINE, Web of Science, Cochrane Database of Systematic Reviews, and Google Scholar. Relevant data were extracted and synthesized using a thematic analysis. RESULTS We identified 35,541 academic and 221 gray literature reports, with 244 (0.69%) included in the review, covering 35 countries. Overall, 85 factors that can impact the uptake of digital therapeutics were extracted and pooled into 5 categories: policy and system, patient characteristics, properties of digital therapeutics, characteristics of health professionals, and outcomes. The need for a regulatory framework for digital therapeutics was the most stated factor at the policy level. Demographic characteristics formed the most iterated patient-related factor, whereas digital literacy was considered the most important factor for health professionals. Among the properties of digital therapeutics, their interoperability across the broader health system was most emphasized. Finally, the ability to expand access to health care was the most frequently stated outcome measure. CONCLUSIONS The map of factors developed in this review offers a multistakeholder approach to recognizing the uptake factors of digital therapeutics in the health care pathway and provides an analytical tool for policy makers to assess their health system's readiness for digital therapeutics.
Collapse
Affiliation(s)
- Robin van Kessel
- LSE Health, Department of Health Policy, London School of Economics and Political Science, London, United Kingdom
- Department of International Health, Care and Public Health Research Institute, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, Netherlands
| | - Andres Roman-Urrestarazu
- Department of Psychiatry, University of Cambridge, Cambridge, United Kingdom
- Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, United States
| | - Michael Anderson
- LSE Health, Department of Health Policy, London School of Economics and Political Science, London, United Kingdom
| | - Ilias Kyriopoulos
- LSE Health, Department of Health Policy, London School of Economics and Political Science, London, United Kingdom
| | - Samantha Field
- Department of Health Services Research and Policy, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Giovanni Monti
- LSE Health, Department of Health Policy, London School of Economics and Political Science, London, United Kingdom
| | - Shelby D Reed
- Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC, United States
| | - Milena Pavlova
- Department of Health Services Research, Care and Public Health Research Institute, Faculty of Health Medicine and Life Science, Maastricht University, Maastricht, Netherlands
| | - George Wharton
- LSE Health, Department of Health Policy, London School of Economics and Political Science, London, United Kingdom
| | - Elias Mossialos
- LSE Health, Department of Health Policy, London School of Economics and Political Science, London, United Kingdom
- Institute of Global Health Innovation, Imperial College London, London, United Kingdom
| |
Collapse
|
3
|
Saha S, Pandya A, Raval D, Saxena D. Cost-Effectiveness of mHealth Intervention (TeCHO+) for Improving Maternal and Child Health Indicators in Gujarat, India. Indian J Community Med 2022; 47:549-554. [PMID: 36742961 PMCID: PMC9891040 DOI: 10.4103/ijcm.ijcm_192_22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Accepted: 08/24/2022] [Indexed: 02/07/2023] Open
Abstract
Background Gujarat has implemented an mHealth program, technology for community health operations-plus (TeCHO+) in 2019. TeCHO+ is a mobile and web-based application that essentially enables data entry by the frontline workers providing service at the time and place of service delivery to improve the coverage and data quality. It also facilitates early identification of morbid condition and timely treatment. This study assessed the cost-effectiveness of TeCHO+ program in Gujarat. Materials and Methods The study compared key program outcome indicators before and after the launch of TeCHO+ program. As the program was launched across the State, eMamta, the previous version of mother and child tracking system was used for comparison. A decision tree was parameterized to estimate change in disability-adjusted life year (DALY) and cost as a result of implementing TeCHO+ from a health system perspective. Results TeCHO+ incurred a cost of Rs. 2,624 per beneficiary against Rs. 1,075 per beneficiary under the previous eMamta program. TeCHO+ has resulted in significant DALY averted through early identification of high-risk cases both among pregnant women and children. Overall, cost-effectiveness analysis indicated that TeCHO+ incurred an incremental cost of Rs. 1802.84 per DALY averted, which is 1.19% of the GDP per capita of India (year 2020). Conclusion This study concludes that TeCHO+ is cost-effective for mother and child care and can be considered for replicating.
Collapse
Affiliation(s)
- Somen Saha
- Public Health, Indian Institute of Public Health, Gandhinagar, Gujarat, India
| | - Apurvakumar Pandya
- Public Health, Indian Institute of Public Health, Gandhinagar, Gujarat, India
- Director, Parul Institute of Public Health, Parul University, Gandhinagar, Gujarat, India
| | - Devang Raval
- Regional Resource Centre for Health Technology, Indian Institute of Public Health, Gandhinagar, Gujarat, India
| | - Deepak Saxena
- Public Health, Indian Institute of Public Health, Gandhinagar, Gujarat, India
| |
Collapse
|