Awareness, Knowledge, Perceptions, and Determinants of National Health Insurance Authority Enrolment Among Adult Outpatient Attendees at a Tertiary Hospital in Southwestern Nigeria: A Cross-Sectional Study
Year: 2026
Type: dataset
Abstract: This dataset contains primary cross-sectional survey data evaluating the Awareness, Knowledge, Perceptions, and Determinants of National Health Insurance Authority Enrolment Among Adult Outpatient Attendees at a Tertiary Hospital in Southwestern Nigeria The primary dataset comprises N = 431 fully completed, validated patient records collected across outpatient departments (General Outpatient Department and Consultant Outpatient Departments)[cite: 3, 6]. The survey instrument captured 47 discrete variables categorized into seven analytical domains[cite: 6]: 1. Socio-demographic characteristics (age, gender, marital status, education level, employment sector, and monthly income bracket)[cite: 6]. 2. NHIA scheme awareness and primary information dissemination channels (healthcare workers, workplace, digital media, mass media)[cite: 6]. 3. Objective health insurance knowledge, assessed using a 9-item domain-specific scale (Q10–Q18) scored binarily (1 = Correct, 0 = Incorrect/Unsure), cumulative score (0–9), and tiered knowledge categories (Poor: 0–3, Fair: 4–6, Good: 7–9). 4. Perceptions and attitudes toward NHIA financing, risk pooling, operational management, and drug quality, measured on a 5-point Likert scale (1 = Strongly Disagree to 5 = Strongly Agree)[cite: 6, 8]. 5. Active health insurance procurement and enrollment status (Registered vs. Unregistered)[cite: 6, 8]. 6. Self-reported barriers and reasons for non-enrollment among uninsured respondents (Question 23; dichotomous multi-response indicators)[cite: 6, 8]. 7. Point-of-care quality ratings, primary provider facility tiers, overall satisfaction levels, and specific operational drivers of dissatisfaction among active enrollees[cite: 6, 8]. The data files include the fully labeled SPSS dataset (.sav), an open-access comma-separated values file (.csv), and the complete SPSS batch processing syntax (.sps) used to generate all descriptive statistics, bivariate Chi-Square cross-tabulations, and multivariate binary logistic regression models[cite: 6, 8].
Source: Mendeley Data
DOI: 10.17632/z3rznfhj8s
Authors: Odutoye, Oreoluwa, Mayomikun, Olawale
Institution: Bowen University
Language: English
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W7212762007