| Literature DB >> 36199622 |
Evelyn Kabia1, Catherine Goodman2, Dina Balabanova2, Kui Muraya3, Sassy Molyneux4,5, Edwine Barasa1,5.
Abstract
Background: Informal payments limit equitable access to healthcare. Despite being a common phenomenon, there is a need for an in-depth analysis of informal charging practices in the Sub-Saharan Africa (SSA) context. We conducted a systematic literature review to synthesize existing evidence on the prevalence, characteristics, associated factors, and impact of informal payments in SSA.Entities:
Keywords: Informal payments; Sub-Saharan Africa; health; review
Year: 2021 PMID: 36199622 PMCID: PMC9513412 DOI: 10.12688/wellcomeopenres.17228.1
Source DB: PubMed Journal: Wellcome Open Res ISSN: 2398-502X
General description of studies included in the review
| Category | Sub-category | No. | Study reference |
|---|---|---|---|
| Publication type | Journal article
| 20
|
|
| Year of publication | After 2015
| 10
|
|
| Data collection year | After 2015
| 4
|
|
| Country income level (2021 World
| Low-income
| 10
|
|
| Number of countries in each study | Single country
| 20
|
|
| Sub-Saharan Africa Region | East Africa
| 12
|
|
| Type of study design | Quantitative
| 11
|
|
| Study participants | Healthcare workers
| 16
|
|
Figure 1. Study selection process adapted from the PRISMA 2009 flow diagram .
Prevalence of informal payments reported in cross-sectional studies
| Author & country | Data
| Sample size and study
| Metric | Prevalence |
|---|---|---|---|---|
| Papers based on Afrobarometer surveys | ||||
| Pring & Vrushi
| 2016–2018 | 47,000 households | The proportion that gave a gift/paid a bribe/did a favor to get services
| 1.0–50.0%
|
| Kankeu & Ventelou
| 2011–2013
| 51,605 households (33
| The proportion that paid a bribe, gave a gift or did a favor to
| 0.4-51.3%
|
| Studies based on patient/household reports | ||||
| Masiye
| 2018 | 1900 patients | The proportion that made any payments for healthcare services
| 6.2% |
| Oduor
| 2012 | 183 households | The proportion that paid informal payments at public health facilities | 10.0% (inpatient care)
|
| Kruk
| 2007 | 1322 women | The proportion that paid provider payments for free facility delivery
| 84.6% (dispensary)
|
| Lindkvist
| 2007 | 3494 patients | The proportion that reported that healthcare workers at public and
| 12.0% |
| Kankeu
| 2006–2007 | 1637 HIV patients | The proportion that made informal payments for consultation with a
| 3.1% |
| Paredes-Solís
| 1998
| 18,412 households (Uganda)
| The proportion that made payments directly to healthcare workers at
| 28.0%
|
| Hunt 2010
| 2002 | 12,000 households | The proportion that had paid a bribe at a public or private health
| 17.0% (public sector)
|
| Studies based on health workers reports | ||||
| Binyaruka
| 2019 | 432 health workers | The proportion that had ever asked for/been given informal payment/
| 27.1% |
| Maini
| 2014 | 406 nurses | The proportion that received informal payments/gifts from patients at
| 16.8% |
| Bertone & Lagarde
| 2013–2014 | 266 health workers | The proportion that received gifts and payments from patients in the
| 74.0% |
| Akwataghibe
| not stated | 69 healthcare workers | The proportion that accepted gifts and informal payments from
| 33.4% |
Patient factors associated with informal payments
| Patient factors | Number of
| Study reference |
|---|---|---|
|
| ||
| Age | 2 |
|
| Marital status | 1 |
|
| Employment status | 1 |
|
| Income/wealth | 7 |
|
| Household head | 1 |
|
| Residence (rural/urban) | 3 |
|
| Distance to the health facility | 1 |
|
| Awareness of service entitlements and fees | 3 |
|
|
| ||
| Self-rated health | 1 |
|
| Change in health status e.g. during pregnancy/labor | 1 |
|
|
| ||
| Absence of connections with health facility staff | 1 |
|
Supply-side factors associated with informal payments
| Supply-side factors | Number of
| Study reference |
|---|---|---|
|
| ||
| Age | 2 |
|
| Cadre | 7 |
|
| Health facility manager/in-charge/head of department | 2 |
|
| Consultation venue i.e. health facility/healthcare workers residence | 1 |
|
| Salary (amount and timeliness) | 8 |
|
| Absence of allowances e.g. transport, risk | 1 |
|
|
| ||
| Level of facility | 5 |
|
| Facility ownership (public/private for profit/private non-profit) | 4 |
|
| Facility location (rural/urban) | 2 |
|
| Waiting times | 3 |
|
| Task shifting | 1 |
|
| Poor working conditions | 1 |
|
| Number of healthcare workers | 2 |
|
| Lack of/stock out of essential drugs | 2 |
|
| Presence/absence of official charging policies | 3 |
|
| Accountability mechanisms for user fees | 1 |
|
| Supervision/oversight over health worker behavior | 2 |
|
| Poor health facility management | 1 |
|
| Engagement in informal charging/corruption by senior staff/facility managers | 2 |
|
| Action against corrupt practices | 1 |
|
|
| ||
| Corruption among top health sector management | 1 |
|
| Wide-spread corruption in the public sector | 2 |
|
| Health worker post rotations | 1 |
|