5 research outputs found
How do supply-side factors influence informal payments for healthcare? The case of HIV patients in Cameroon
Direct out-of-pocket payments for healthcare continue to be a major source of health financing in low-income and middle-income countries. Some of these direct payments take the form of informal charges paid by patients to access the needed healthcare services. Remarkably, however, little is known about the extent to which these payments are exercised and their determinants in the context of Sub-Saharan Africa. This study attempts therefore to shed light on the role of supply-side factors in the occurrence of informal payments while accounting for the demand-side factors. The study relies on data taken from a nationally representative survey conducted among people living with HIV/AIDS in Cameroon. A multilevel mixed-effect logistic model is employed to identify the factors associated with the incidence of informal payments. Results reveal that circa 3.05% of the surveyed patients incurred informal payments for the consultations made on the day of the survey. The amount paid informally represents up to four times the official tariff. Factors related to the following: (i) human resource management of the health facilities (e.g., task shifting); (ii) health professionals' perceptions vis-Ă -vis the remunerations of HIV care provision; and (iii) reception of patients (e.g., waiting time) significantly influence the probability of incurring informal payments. Also of note, the type of healthcare facilities is found to play a role: informal payments appear to be significantly lower in private non-profit facilities compared with those belonging to public sector. Our findings allude to some policy recommendations that can help reduce the incidence of informal payments
How do supply-side factors influence informal payments for healthcare? The case of HIV patients in Cameroon
ACL-4International audienceDirect out-of-pocket payments for health care continue to be a major source of health financing in low- and middle-income countries. Some of these direct payments take the form of informal charges paid by patients to access the needed health care services. Remarkably, however, little is known about the extent to which these payments are exercised and their determinants in the context of Sub-Saharan Africa. This study attempts therefore to shed light on the role of supply-side factors in the occurrence of informal payments while accounting for the demand-side factors. The study relies on data taken from a nationally representative survey conducted among people living with HIV/AIDS in Cameroon. A multilevel mixed-effects logistic model is employed to identify the factors associated with the incidence of informal payments. Results reveal that circa 3.05% of the surveyed patients incurred informal payments for the consultations made on the day of the survey. The amount paid informally represents up to four times the official tariff. Factors related to: (i) human resources management of the health facilities (e.g., task shifting); (ii) health professionals’ perceptions vis-à -vis the remunerations of HIV-care provision and (iii) reception of patients (e.g., waiting time) significantly influence the probability of incurring informal payments. Also of note, the type of health care facilities is found to play a role: informal payments appear to be significantly lower in private non-profit facilities compared to those belonging to public sector. Our findings allude to some policy recommendations than can help reduce the incidence of informal payments
Mapping and size estimates of female sex workers in Cameroon: Toward informed policy for design and implementation in the national HIV program.
BackgroundDue to high HIV prevalence among Female Sex Workers (FSWs) in Cameroon (36.5%), this population is especially vulnerable to HIV acquisition and transmission nationwide. Though being prioritized in the national HIV response, it would be relevant to generate statistics on the number of FSWs in order to guide HIV interventions among FSWs. Our objective was to estimate the size of FSWs within hotspots of Cameroon.MethodsA cross-sectional study was conducted from September-November 2015 in selected cities in Cameroon: Bafoussam, Bamenda, Bertoua, Buea, Douala, Kribi, Limbé, and Yaoundé. A programmatic mapping was used, consisting of interviews with secondary key informants (KI) to identify hotspots of FSWs and their respective estimated numbers. Validation of size estimates was done by interviews with FSW at each hotspot. Size estimations in the councils mapped were extended to others not mapped using a Poisson regression model.ResultsA total of 2,194 hotspots were identified: Douala (760), Yaoundé (622), Bamenda (263), Bafoussam (194), Kribi (154), Bertoua (140), Limbé (35), and Buea (26). The estimated total number (range) of FSWs was 21,124 (16,079-26,170), distributed per city as follows: Douala 7,557 (5,550-9,364), Yaoundé 6,596 (4,712-8,480), Bafoussam 2,458 (1,994-2,923), Bamenda 1,975 (1,605-2,345), Kribi 1,121 (832-1,408), Bertoua 1,044 (891-1,198), Buea 225 (185-266), and Limbé 148 (110-148). The variability of estimates among cities was also observed within the councils of each city. The national predicted estimate of FSW population was 112,580 (103,436-121,723), covering all councils of Cameroon. An estimate of 1.91% (112,580/5,881,526; 0.47%-3.36%) adult female population in Cameroon could be sex workers.ConclusionThere are considerable numbers of FSW in major cities in Cameroon. There is a need to prioritize interventions for HIV prevention toward this population in order to limit the burden of HIV sexual transmission nationwide
Additional file 2: Table S2. of Feasibility Study of HIV Sentinel Surveillance using PMTCT data in Cameroon: from Scientific Success to Programmatic Failure
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