| Literature DB >> 34814949 |
Annette Mphande-Namangale1, Isabel Kazanga-Chiumia2.
Abstract
BACKGROUND: Informal payments in public health facilities act as a barrier to accessing quality health services, especially for poor people. This research aimed to investigate informal payments for health care services at Kamuzu Central Hospital (KCH), a public referral hospital in Malawi. Results of this study provide evidence on the prevalence and influencing factors of informal payments for health care so that relevant policies and strategies may be developed to address this problem.Entities:
Keywords: Informal payments; Malawi
Mesh:
Year: 2021 PMID: 34814949 PMCID: PMC8611973 DOI: 10.1186/s41256-021-00225-z
Source DB: PubMed Journal: Glob Health Res Policy ISSN: 2397-0642
Demographic characteristics of the study participants according to gender
| Characteristic | Male (n = 134, 45%) | Female (n = 164, 55%) |
|---|---|---|
| 18–25 years | 32 (23.9%) | 33 (20.1%) |
| 25–35 years | 44 (32.8%) | 47 (28.7%) |
| 35–45 years | 39 (29.1%) | 39 (23.8%) |
| 45–55 years | 15 (11.2%) | 28 (17.1%) |
| Above 55 years | 4 (3.0%) | 17 (10.4%) |
| Married | 99 (73.9%) | 123 (75.0%) |
| Divorced/separated | 12 (9.0%) | 5 (3.0%) |
| Widowed | 3 (2.2%) | 3 (1.8%) |
| Never married | 20 (14.9%) | 33 (20.1%) |
| Formal employment | 38 (28.4%) | 68 (41.5%) |
| Self-employed | 50 (37.3%) | 44 (26.8%) |
| Not employed | 45 (33.6%) | 52 (31.7%) |
| Others (specify) | 1 (0.7%) | 0 (0.0%) |
Informal payments according to the demographic characteristics of the respondents
| Variable | Median (payment) | Test |
|---|---|---|
| 18–25 | 4055 | Kruskal–Wallis Significant |
| 25–35 | 7264 | |
| 35–45 | 4360 | |
| 45–55 | 12,809 | |
| > 55 | 18,846 | |
| Males | 12,394 | Kruskal–Wallis Not significant |
| Females | 5027.27 | |
| Married | 4000 | Kruskal–Wallis Not significant |
| Divorced/separated | 600 | |
| Widowed | 25,000 | |
| Never married | 2750 | |
| Formal employment | 5000 | Kruskal–Wallis Significant |
| Self-employed | 3000 | |
| Not employed | 3500 |
Correlation coefficients between informal payments and demographic characteristics
| Characteristic | Coefficient | |
|---|---|---|
| Payment | 1 | |
| Occupation | 0.1168 | 1 |
| Payment | 1 | |
| Marital status | 0.1011 | 1 |
| Payment | 1 | |
| Gender | − 0.0346 | 1 |
| Payment | 1 | |
| Age range | − 0.2802 | 1 |
Payments for health services reported by patients exiting the health facility
| Male | Female | |||
|---|---|---|---|---|
| 134 | 164 | |||
| Yes | No | Yes | No | |
| % (95% CI) | % (95% CI) | % (95% CI) | % (95% CI) | |
| Knowledge of payment for services | 110(74–87) | 24(13–25) | 131(72–85) | 33(14–27) |
| Of those who paid for services received, the median amount paid (MK): | ||||
| Median (IQR) | Median (IQR) | |||
| 62 | 66 | |||
| Services paid for | 1000(2250.00–5000.00) | 600(2000.00–6000.00) | ||
| N | 52 | 67 | ||
| Health care worker | Patient | Health care worker | Patient | |
| % (95% CI) | % (95% CI) | % (95% CI) | % (95% CI) | |
| Who initiated the informal payment | 87(74–94) | 13(07–25) | 87(75–92) | 13(07–25) |
Determinants of informal payments using the Tobit regression model
| Characteristics | Informal payment in cash initiated by the client | Informal payment in cash initiated by the health care worker | ||
|---|---|---|---|---|
| Variables | β | (SE) | β | (SE) |
| Male | − 8624.096* | 1633.17 | − 3705.45 | 1861.90 |
| Divorced/separated | 3863.07 | 3199.02 | 5350.42 | 3919.59 |
| Widowed | 14,084.74 | 8872.56 | – | – |
| Never married | 645.23 | 2538.07 | − 1153.66 | 2837.98 |
| Above 25 to 35 years | 1022.65 | 3304.85 | 1140.85 | 3761.68 |
| Above 35 to 45 years | 429.59 | 3373.28 | – 175.33 | 3854.58 |
| Above 45 to 55 years | 7391.60 | 3670.62 | 6861.87 | 4159.00 |
| Above 55 years | 7010.35 | 3908.23 | 9006.57 | 4989.25 |
| Self-employed | − 4943.29* | 1819.99 | − 5908.32* | 2030.74 |
| Not employed | − 4686.75* | 2188.09 | − 4798.52 | 2679.21 |
*P < 0.05; **P < 0.01; ***P < 0.001
Fig. 1This figure presents the types/modes of informal payments and frequency of informal payments that were made by the patients
Fig. 2Presents a conceptual framework showing impact, determinants of informal payments and effects of informal payments on both health care workers and patients/guardians