03148nas a2200313   4500000000100000008004100001260002200042653003400064653003400098653002300132653001800155100001200173700001500185700001500200700001400215700001200229700001400241700001200255700001300267700001500280700001400295700001300309245019600322856006700518300002000585490000600605520219800611022002502809       2022                            d  bSAGE Publications10aHealth Information Management10aComputer Science Applications10aHealth Informatics10aHealth Policy1 aKumar M1 aMacharia P1 aNyongesa V1 aKathono J1 aYator O1 aMwaniga S1 aMcKay M1 aHuang KY1 aShidhaye R1 aNjuguna S1 aSaxena S00aHuman-centered design exploration with Kenyan health workers on proposed digital mental health screening and intervention training development: Thematic analysis of user preferences and needs  uhttps://journals.sagepub.com/doi/pdf/10.1177/20552076221090035  a2055207622109000 v83 a<p>Health providers' perceived sense of knowledge, competency, and self-efficacy to support the needs of their patients contributes to optimal patient health outcomes. With regards to mental health service delivery in Kenya, this area needs further exploration. Guided by the e-health technology acceptance mode, the needs and preferences of health care providers around mental health training for clinical management and their ability to intervene in peripartum adolescent mental health care are explored. We probed how well-equipped service providers are, their engagement with technology to learn and offer services. The health care provider's technology use preferences were also explored. Method Guided by a human-centered design-focused qualitative inquiry we interviewed 20 specialists around their needs, perspectives, and preferences for digitized mental health screening and intervention. Mean age was 44.2 years, (range of 32–58 years), 25% (5) males and 75% (15) females. After a written consenting process, the online interviews (30−45 min) were conducted in April 2021, once personal information was de-identified interviews were transcribed and coded. Thematic analysis was used and we combined rapid appraisal of Google Jamboard online storyboards to do individual human-centered design personas alongside. Results Our participants were well-exposed to digital technologies. Prohibitive costs of data bundles, lack of funds for consistent online engagement, high workload, and instability of access to appropriate gadgets were found to be barriers to e-health training. Emerging opportunities were well-identified adolescent mental health service and intervention needs, willingness to take online courses offered on learning platforms, and wish for these to be disseminated through diverse social media. Other recommendations were the need to have a user-friendly interface such as data-light engaging and practical materials including animations, short, group-based learning. Conclusion Understanding contextual factors that influence perceived usefulness and ease of use of the remote/digital components would be critical for e-training development and its uptake.</p>
  a2055-2076, 2055-2076