Matches in SemOpenAlex for { <https://semopenalex.org/work/W3162877976> ?p ?o ?g. }
- W3162877976 abstract "Background: Strengthening health systems to improve access to maternity services remains challenging for Nigeria due partly to weak and irregular in-service training and deficient data management. This paper reports the implementation of digital health tools for video training (VTR) of health workers and digitization of health data at scale, supported by satellite communications (SatCom) technology and existing 3G mobile networks. Objective: To understand whether, and under what circumstances using digital interventions to extend maternal, newborn and child health (MNCH) services to remote areas of Nigeria improved standards of healthcare delivery. Methods: From March 2017 to March 2019, VTR and data digitization interventions were delivered in 126 facilities across three states of Nigeria. Data collection combined documents review with 294 semi-structured interviews of stakeholders across four phases (baseline, midline, endline, and 12-months post-project closedown) to assess acceptability and impacts of digital interventions. Data was analyzed using a framework approach, drawing on a modified Technology Acceptance Model to identify factors that shaped technology adoption and use. Results: Analysis of documents and interview transcripts revealed that a supportive policy environment, and track record of private-public partnerships facilitated adoption of technology. The determinants of technology acceptance among health workers included ease of use, perceived usefulness, and prior familiarity with technology. Perceptions of impact suggested that at the micro (individual) level, repeated engagement with clinical videos increased staff knowledge, motivation and confidence to perform healthcare roles. At meso (organizational) level, better-trained staff felt supported and empowered to provide respectful healthcare and improved management of obstetric complications, triggering increased use of MNCH services. The macro level saw greater use of reliable and accurate data for policymaking. Conclusions: Simultaneous and sustained implementation of VTR and data digitization at scale enabled through SatCom and 3G mobile networks are feasible approaches for supporting improvements in staff confidence and motivation and reported MNCH practices. By identifying mechanisms of impact of digital interventions on micro, meso, and macro levels of the health system, the study extends the evidence base for effectiveness of digital health and theoretical underpinnings to guide further technology use for improving MNCH services in low resource settings. Trial Registration: ISRCTN32105372." @default.
- W3162877976 created "2021-05-24" @default.
- W3162877976 creator A5005357630 @default.
- W3162877976 creator A5023427181 @default.
- W3162877976 creator A5034566984 @default.
- W3162877976 creator A5049116378 @default.
- W3162877976 creator A5049543550 @default.
- W3162877976 creator A5051006271 @default.
- W3162877976 creator A5067386562 @default.
- W3162877976 creator A5067945409 @default.
- W3162877976 creator A5069414529 @default.
- W3162877976 creator A5073706055 @default.
- W3162877976 creator A5080629173 @default.
- W3162877976 creator A5085234411 @default.
- W3162877976 date "2021-05-14" @default.
- W3162877976 modified "2023-10-18" @default.
- W3162877976 title "What Are the Contextual Enablers and Impacts of Using Digital Technology to Extend Maternal and Child Health Services to Rural Areas? Findings of a Qualitative Study From Nigeria" @default.
- W3162877976 cites W1547328655 @default.
- W3162877976 cites W2003596899 @default.
- W3162877976 cites W2009607009 @default.
- W3162877976 cites W2020984964 @default.
- W3162877976 cites W2048543768 @default.
- W3162877976 cites W2114608579 @default.
- W3162877976 cites W2115677063 @default.
- W3162877976 cites W2138664283 @default.
- W3162877976 cites W2149328406 @default.
- W3162877976 cites W2162421586 @default.
- W3162877976 cites W2267602260 @default.
- W3162877976 cites W2335342262 @default.
- W3162877976 cites W2475838593 @default.
- W3162877976 cites W2488530036 @default.
- W3162877976 cites W2525055329 @default.
- W3162877976 cites W2597407775 @default.
- W3162877976 cites W2606947362 @default.
- W3162877976 cites W2754857230 @default.
- W3162877976 cites W2809482566 @default.
- W3162877976 cites W2891163694 @default.
- W3162877976 cites W2897055639 @default.
- W3162877976 cites W2899241902 @default.
- W3162877976 cites W2912472800 @default.
- W3162877976 cites W2921536415 @default.
- W3162877976 cites W2922031539 @default.
- W3162877976 cites W2972383937 @default.
- W3162877976 cites W2988913422 @default.
- W3162877976 cites W3006818076 @default.
- W3162877976 cites W3088252370 @default.
- W3162877976 cites W3090582215 @default.
- W3162877976 cites W3133970769 @default.
- W3162877976 cites W3137036255 @default.
- W3162877976 cites W4231245586 @default.
- W3162877976 cites W4385154833 @default.
- W3162877976 doi "https://doi.org/10.3389/fgwh.2021.670494" @default.
- W3162877976 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/8594044" @default.
- W3162877976 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/34816223" @default.
- W3162877976 hasPublicationYear "2021" @default.
- W3162877976 type Work @default.
- W3162877976 sameAs 3162877976 @default.
- W3162877976 citedByCount "8" @default.
- W3162877976 countsByYear W31628779762022 @default.
- W3162877976 countsByYear W31628779762023 @default.
- W3162877976 crossrefType "journal-article" @default.
- W3162877976 hasAuthorship W3162877976A5005357630 @default.
- W3162877976 hasAuthorship W3162877976A5023427181 @default.
- W3162877976 hasAuthorship W3162877976A5034566984 @default.
- W3162877976 hasAuthorship W3162877976A5049116378 @default.
- W3162877976 hasAuthorship W3162877976A5049543550 @default.
- W3162877976 hasAuthorship W3162877976A5051006271 @default.
- W3162877976 hasAuthorship W3162877976A5067386562 @default.
- W3162877976 hasAuthorship W3162877976A5067945409 @default.
- W3162877976 hasAuthorship W3162877976A5069414529 @default.
- W3162877976 hasAuthorship W3162877976A5073706055 @default.
- W3162877976 hasAuthorship W3162877976A5080629173 @default.
- W3162877976 hasAuthorship W3162877976A5085234411 @default.
- W3162877976 hasBestOaLocation W31628779761 @default.
- W3162877976 hasConcept C105795698 @default.
- W3162877976 hasConcept C127413603 @default.
- W3162877976 hasConcept C133462117 @default.
- W3162877976 hasConcept C144024400 @default.
- W3162877976 hasConcept C144133560 @default.
- W3162877976 hasConcept C159110408 @default.
- W3162877976 hasConcept C160735492 @default.
- W3162877976 hasConcept C17744445 @default.
- W3162877976 hasConcept C190248442 @default.
- W3162877976 hasConcept C199539241 @default.
- W3162877976 hasConcept C27415008 @default.
- W3162877976 hasConcept C2779308522 @default.
- W3162877976 hasConcept C33923547 @default.
- W3162877976 hasConcept C36289849 @default.
- W3162877976 hasConcept C41008148 @default.
- W3162877976 hasConcept C509550671 @default.
- W3162877976 hasConcept C56739046 @default.
- W3162877976 hasConcept C71924100 @default.
- W3162877976 hasConcept C74196892 @default.
- W3162877976 hasConcept C76155785 @default.
- W3162877976 hasConceptScore W3162877976C105795698 @default.
- W3162877976 hasConceptScore W3162877976C127413603 @default.
- W3162877976 hasConceptScore W3162877976C133462117 @default.
- W3162877976 hasConceptScore W3162877976C144024400 @default.
- W3162877976 hasConceptScore W3162877976C144133560 @default.
- W3162877976 hasConceptScore W3162877976C159110408 @default.