// THESIS GUIDANCE PORTAL · Health

Mobile Health App for Maternal Care in Remote Districts

Level: Bachelor, MasterDifficulty: Intermediate★ Popular Choice

1. Introduction & Problem Statement

Overview: Design/evaluation of an SMS or app-based antenatal-care reminder system for hill and mountain districts.

Background Context (Nepal): Maternal mortality in remote Nepali districts remains elevated due to missed antenatal care (ANC) checkups and delayed emergency transportation. Automated SMS/PWA reminder systems in local languages improve ANC compliance.

2. Research Objectives

›Design localized SMS and PWA maternal health reminder platform operating on low-cost feature phones and smartphones
›Develop automated ANC visit and iron/folic acid supplement reminder scheduling based on MoHP protocols
›Incorporate emergency distress trigger connecting expectant mothers to local Female Community Health Volunteers (FCHVs)
›Evaluate usability and message comprehension among rural pregnant women and FCHVs
›Measure ANC visit completion rates pre- and post-system deployment in a pilot health post

3. Proposed Methodology

User-centered design interviews with rural pregnant women, FCHVs, and Auxiliary Nurse Midwives (ANMs) in Solukhumbu
System architecture using Node.js, SMS Gateway API (Twilio / local provider), and PWA frontend
Controlled trial or quasi-experimental pilot comparing ANC attendance between app users and control group
Data collection using Kobo Toolbox tracking checkup dates and delivery outcomes
Statistical analysis using Pearson's Chi-Square test comparing complete 4-visit ANC rates

$ Worked Example / Sample Scenario

Sample Scenario: A pregnant woman in Solukhumbu receives automated weekly audio/SMS reminders in Nepali specifying her upcoming ANC 3rd visit date and warning signs for pre-eclampsia. ANC 4-visit compliance increases by 31% during pilot testing.

4. Thesis Chapter-by-Chapter Outline

Chapter 1: IntroductionTU/KU standard

Background, problem statement, research questions, objectives, scope, limitations, and significance of the study

Chapter 2: Literature ReviewTU/KU standard

Theoretical framework, conceptual models, previous empirical studies in Nepal and developing nations, maternal health protocols (WHO / MoHP Nepal) and mHealth adoption frameworks, and gap analysis

Chapter 3: Research MethodologyTU/KU standard

Research design, population/sampling framework, data collection instruments, analytical tools, and ethical considerations

Chapter 4: Data Analysis & ResultsTU/KU standard

Empirical findings, statistical testing, model estimations, ANC attendance cross-tabulations, SMS delivery logs, and Chi-Square test results, and detailed discussion

Chapter 5: Conclusion & RecommendationsTU/KU standard

Summary of key findings, theoretical contributions, policy recommendations, and future research directions

5. Recommended Tools & Technologies

To implement the practical, technical, or analytical portions of this thesis topic, the following software tools, libraries, or APIs are recommended:

Node.jsReact / PWASMS Gateway APIPostgreSQLSPSSKobo Toolbox

6. Core References & Academic Sources

[1]Ministry of Health and Population (MoHP Nepal) — Safe Motherhood & Newborn Health Program Reports
[2]WHO / UNICEF — mHealth Strategies for Maternal and Child Survival
[3]BMC Pregnancy and Childbirth / NepJOL — Digital health interventions for maternal care in Nepal

7. Frequently Asked Questions (FAQs)

Q: How do feature phones without internet receive reminders?

The system utilizes automated short message service (SMS) or Interactive Voice Response (IVR) phone calls generated via local telecom SMS gateways.

Q: What is the official MoHP guideline for ANC checkups in Nepal?

Nepal's Ministry of Health recommends at least 4 antenatal care (ANC) visits during pregnancy at specified gestational weeks.

Q: Who are FCHVs in Nepal's health system?

Female Community Health Volunteers (FCHVs) are frontline community health workers key to maternal and child health outreach in rural wards.

Q: Is patient data privacy preserved in mHealth apps?

Yes, patient phone numbers and health logs are encrypted, anonymized, and accessed only by authorized health post ANMs.