chemiriammbong-blips/Ai-Adoption-in-Maternal-Health

This is an analysis on an undergraduate research which assessed the perception, acceptability ,and multi-level readiness in the adoption of ai based tools among health care providers in buea ,cameroon . # Assessment of Perception, Acceptability, and Multi-Level Readiness for the Adoption of AI-Based Tools in Maternal Health Among Healthcare Providers in Buea Health Districts --- ## Overview This repository contains the data analysis output from an undergraduate research study examining how healthcare providers in the Buea Health Districts perceive, accept, and are prepared to adopt artificial intelligence tools within maternal healthcare settings. The study is grounded in four core dimensions: perception, acceptability, individual readiness, and infrastructure readiness. All statistical analysis was conducted using **IBM SPSS Statistics**. The full output document is included in this repository. --- ## Table of Contents - Study Context - Sample Description - Research Objectives and Findings - Objective 1 — Perception of AI-Based Tools - Objective 2 — Acceptability of AI-Based Tools - Objective 3 — Individual Readiness - Objective 4 — Infrastructure Readiness - Objective 5 — Association Tests - Statistical Methods - Repository Structure - How to Reproduce the Analysis - Limitations - Author --- ## Study Context **Title:** Assessment of Perception, Acceptability and Multi-Level Readiness for the Adoption of AI-Based Tools in Maternal Health Among Healthcare Providers in Buea Health Districts **Setting:** Buea Health Districts, Cameroon **Purpose:** To generate evidence on the current state of AI readiness among frontline maternal healthcare workers, with a view to informing policy on digital health integration in low-resource settings. **Sample Size:** N = 54 healthcare providers --- ## Sample Description | Variable | Category | Frequency | Percentage | |---|---|---|---| | Gender | Female | 50 | 92.6% | | | Male | 4 | 7.4% | | Department | Labour Ward | 39 | 72.2% | | | Antenatal Care (ANC) | 14 | 25.9% | | | Postnatal | 1 | 1.9% | | Profession | Midwife | 32 | 59.3% | | | Nurse | 21 | 38.9% | | | Gynaecologist | 1 | 1.9% | | Age Group | 20 to 30 year …