Designing and Developing a Mobile App for Management and Treatment of Gestational Diabetes in Nepal: User-Centered Design Study.

BACKGROUND: Mobile apps can aid with the management of gestational diabetes mellitus (GDM) by providing patient education, reinforcing regular blood glucose monitoring and diet/lifestyle modification, and facilitating clinical and social support. OBJECTIVE: This study aimed to describe our process of designing and developing a culturally tailored app, Garbhakalin Diabetes athawa Madhumeha-Dhulikhel Hospital (GDM-DH), to support GDM management among Nepalese patients by applying a user-centered design approach. METHODS: A multidisciplinary team of experts, as well as health care providers and patients in Dhulikhel Hospital (Dhulikhel, Nepal), contributed to the development of the GDM-DH app. After finalizing the app's content and features, we created the app's wireframe, which illustrated the app's proposed interface, navigation sequences, and features and function. Feedback was solicited on the wireframe via key informant interviews with health care providers (n=5) and a focus group and in-depth interviews with patients with GDM (n=12). Incorporating their input, we built a minimum viable product, which was then user-tested with 18 patients with GDM and further refined to obtain the final version of the GDM-DH app. RESULTS: Participants in the focus group and interviews unanimously concurred on the utility and relevance of the proposed mobile app for patients with GDM, offering additional insight into essential modifications and additions to the app's features and content (eg, inclusion of example meal plans and exercise videos).The mean age of patients in the usability testing (n=18) was 28.8 (SD 3.3) years, with a mean gestational age of 27.2 (SD 3.0) weeks. The mean usability score across the 10 tasks was 3.50 (SD 0.55; maximum score=5 for "very easy"); task completion rates ranged from 55.6% (n=10) to 94.4% (n=17). Findings from the usability testing were reviewed to further optimize the GDM-DH app (eg, improving data visualization). Consistent with social cognitive theory, the final version of the GDM-DH app supports GDM self-management by providing health education and allowing patients to record and self-monitor blood glucose, blood pressure, carbohydrate intake, physical activity, and gestational weight gain. The app uses innovative features to minimize the self-monitoring burden, as well as automatic feedback and data visualization. The app also includes a social network "follow" feature to add friends and family and give them permission to view logged data and a progress summary. Health care providers can use the web-based admin portal of the GDM-DH app to enter/review glucose levels and other clinical measures, track patient progress, and guide treatment and counseling accordingly. CONCLUSIONS: To the best of our knowledge, this is the first mobile health platform for GDM developed for a low-income country and the first one containing a social support feature. A pilot clinical trial is currently underway to explore the clinical utility of the GDM-DH app.

Post-traumatic stress disorder and its associated factors among survivors of 2015 earthquake in Nepal.

BACKGROUND: Natural disasters cause long term psychological consequences, especially post-traumatic stress disorders. It has been regarded as the most prevalent of psychiatric disorders after a natural disaster. The purpose of this study is to estimate the prevalence of Post-Traumatic Stress Disorder (PTSD) and determine its associated factors in adult survivors three years after the 2015 Nepal earthquake. METHODS: A cross-sectional descriptive design was used where 1076 adults within the age range of 19-65 were randomly selected and interviewed from four adversely affected districts due to the 2015 earthquake. Instruments included a demographic questionnaire, an earthquake exposure questionnaire, the Oslo Social Support Scale (OSSS), and the Post-traumatic Stress Disorder Checklist-Civilian Version (PCL-C). Descriptive and inferential statistics were applied using Statistical Package for Social Science (SPSS) Version 16 for data analysis. RESULTS: The prevalence of PTSD among earthquake survivors was 18.9%. The multivariate logistic regression showed that gender, ethnicity, education, occupation, social support and severity of damage to house and property were significantly associated with PTSD. Odds of having PTSD was 1.6 times higher among females (AOR = 1.6, 95% CI: 1.1-2.3) and nearly 2 times higher amongst illiterate survivors (AOR = 1.9, 95% CI: 1.2-2.8). Participants from the Janajati ethnic group and those who had a business occupation had a 50% lower risk of having PTSD. Around 39% of the participants had moderate social support and had 60% lower odds of having PTSD compared to those with poor social support (AOR = 0.4, 95%CI: 0.2-0.5, p < 0.001). Participants with medium and very high-level damage to personal property were more likely to have PTSD. CONCLUSION: Post-traumatic stress disorder remained prevalent amongst survivors three years after the 2015 Nepal Earthquake. It is important to provide psychological and social support for survivors to decrease the health burden from PTSD. Socio-demographic characteristics such as females, farmers, those survivors who endured significant personal property damage were at higher risk.

Effect of a social media-based health education program on postnatal care (PNC) knowledge among pregnant women using smartphones in Dhulikhel hospital: A randomized controlled trial.

INTRODUCTION: Postnatal care services helps in detecting and subsequently managing life threatening complications. With the ubiquitous use of the mobile phone in Nepal, social media based postpartum education has the potential to increase PNC knowledge among pregnant women. This study aimed to assess the effect of social media-based health education program on PNC knowledge among pregnant women attending Dhulikhel hospital, Nepal. MATERIALS AND METHODS: We conducted a two-arm open-label randomized controlled trial among literate pregnant women visiting Dhulikhel hospital for ANC check-up from May to August, 2021. A computer-based program allocated 229 pregnant women owning smartphones with internet connectivity in a 1:1 ratio to either intervention (n = 109) or usual care (n = 120). We assessed PNC knowledge in the participants by interviewing in-person or via phone. The intervention group received a 16 minutes video on PNC and the participants were reminded to view the video every week via telephone for a month. Control group received usual care. The primary outcome of the study was change in PNC knowledge score. We utilized intent-to-treat analysis and measured the effect of the intervention on PNC knowledge score using simple linear regression analysis. RESULTS AND DISCUSSION: The mean PNC knowledge score increased by additional 8.07 points among pregnant women in the intervention group compared to the control group (95% CI: 2.35: 13.80; p-value = 0.006). The maternal care attribute knowledge increased by 4.31 points (95% CI: 1.51-7.10, p-value = 0.03) and newborn care attribute knowledge increased by 3.39 points (95% CI: 0.41-6.37, p-value = 0.02) among pregnant women in the intervention compared to the control group. CONCLUSION: A social media-based health education is effective in improving PNC knowledge score among pregnant women. Further research is needed to evaluate if this increased knowledge is translated into the increased utilization of PNC care. TRIAL REGISTRATION: ClinicalTrials.gov ID: NCT05132608.