Participant Demographic Characteristics Across NHI-Related Studies
Sex Distribution
Predominantly female across studies (e.g., 79\% in Mndzebele \& Matsi; 74.9\% in Govender \& Mahomed; 83.9\% in Mabuza et al.).
Exceptions: physician-focused samples showed more males (Latif-Khamissa \& Naidoo: 80\% male).
Age Profile
Most healthcare-worker (HCW) samples concentrated in the 30–50 year band.
• Mid-career dominance: Mndzebele \& Matsi median 49 y; Govender \& Mahomed 65.2\% aged 20–45 y.Private‐doctor studies skewed older (Latif-Khamissa \& Naidoo: 55\% aged 41–60 y; Matthew \& Mash 72.7\% >40 y).
Community HCWs in Tanzania: 38–59 y.
Occupational Composition
Public-sector HCW studies: nurses were the largest group (typically 57–65\%).
Allied professionals and doctors formed smaller portions (doctors often <{10}\% in public PHC samples).
Private-sector studies targeted general practitioners (GPs) and specialists (roughly 53\% GPs, 47\% specialists).
Pharmacist study (Naidoo et al.) involved community pharmacists with mean practice experience \approx12 y.
Years of Experience
Mixed but leaning toward experienced staff:
• Govender \& Mahomed: 47.2\% had >10 y.
• Oral-health practitioners: 38.2\% had 1–5 y; 29.2\% had 6–10 y; remainder >10 y.
Sector & Setting
Public-sector dominance in South African provincial hospitals/PHC facilities (Limpopo, KZN, Gauteng, Eastern Cape).
Private-sector focus for physician and pharmacist studies (Ethekwini, Ugu, Western Cape, Lusaka).
Household survey split: public users without medical aid (n = 3{,}912) vs. private users with medical aid (n = 1{,}156).
Ethnicity/Race (where reported)
Diverse samples; some skewed to majority Black African in public facilities (e.g., 45.3\% Black, 41\% White in national HCW survey).
GP study (Matthew \& Mash) reported 45.5\% White, 18.2\% Black.
Tanzanian study: Sukuma \& Nyamezi ethnic groups.
Key Take-away
Across NHI-related studies, participants were mainly female, mid-career nurses working in public settings; private-sector studies captured older, male-dominant physician groups. Years of experience were generally high, and ethnic composition mirrored local workforce patterns.