The Demand for Public Health Care and the Progressivity of Health Care Services in Ghana

Gaddah, Mawuli; Munro, Alistair; Quartey, Peter

doi:10.1111/1467-8268.12125

Cited by 11 publications

(14 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…“The perception of health/illness relates to engaging in preventive behavior and self-care and the importance of self-perceived health status incorporates a clinical framework”, “analyzing the social assessment and treatment of disease, health conditions and the social environment of individuals and Study conducted in USA suggested self-perceived health is strongly correlated to the risk of dying” [ 11 , 12 ]. studies based on behavioral approaches also called the willingness-to-pay (WTP) methods—have often tended to gross over the distributional implications of the demand estimates and the expenditures financing those public services [ 13 ].…”

Section: Introductionmentioning

confidence: 99%

Demand for health care service and associated factors among patients in the community of Tsegedie District, Northern Ethiopia

Wellay

Gebreslassie

Mesele

et al. 2018

BMC Health Serv Res

View full text Add to dashboard Cite

BackgroundDemand-side barriers are as important as supply factors in deterring patients from obtaining treatment. Developing countries including Ethiopia have been focusing on promoting health care utilization as an important policy to improve health outcomes and to meet international obligations to make health services broadly accessible. However, many policy and research initiatives focused on improving physical access rather than focusing on the pattern of health care service utilization related to demand side. Understanding of determinants of demand for health care services would enable to introduce and implement appropriate incentive schemes to encourage better utilization of health care services in the community of Tsegedie district, Northern Ethiopia.MethodsA community based cross sectional study design was conducted from March1–30/2016 in Northern Ethiopia. Systematic random sampling technique was used to select 423 participants from 2189 patients of the one-month census. A pretested and standardized semi-structured interviewer administered questionnaire was used to collect the data. The data were entered using Epi-info version 7 and analysed by STATA version 11. Multinomial logistic regression model was used to identify the determinants of demand for health care service.ResultsA total of 423 (with a response rate of 98.3%) study participants were included in the study. The finding indicates that 72.5% (95%CI = 61.6, 81.1) of the participants demanded modern health care services. The multinomial logistic regression econometric model revealed that perceived severity of illness (β = 1.27; 95% CI = 0.74, 1.82), being educated household head (β = 0.079; 95% CI = 0.96, 1.74), quality of treatment (β = 0.99; 95% CI = 0.47, 1.5), distance to health facility β = 1.96; 95%CI = 0.11, 0.27), cost of treatment (β = − 1.99; 95% CI = 0.85, 3,13) were significantly and statistically associated with demand for health care service.ConclusionThis study revealed that in Tsegedie district, majorities (72.5%) of the patients demanded modern health care service. Distance to health care facility, user-fees, educational status of household, quality of service, and severity of illness were found to be significantly associated with demand for health care service.Out of pocket, payments should be changed by prepayment schemes like community-based insurance than to depend on user fees and appropriate health information dissemination activities should strengthen to create awareness about modern care.

show abstract

Section: Introductionmentioning

confidence: 99%

Demand for health care service and associated factors among patients in the community of Tsegedie District, Northern Ethiopia

Wellay

Gebreslassie

Mesele

et al. 2018

BMC Health Serv Res

View full text Add to dashboard Cite

show abstract

“…The paper uses incidence analysis, a description of who benefits when the government spends money, and who loses when the government taxes, following the methods developed by the Commitment to Equity (CEQ) Institute (Lustig and Higgins, ). It is possible to use more sophisticated methods based on demand estimation for incidence analysis (see, e.g., Gaddah et al ., and the studies they cite) but in practice they tend to produce results similar to our simpler approach. Although it is possible to use incidence analysis to examine one particular expenditure or tax, the thrust of the CEQ analysis is rather to get a comprehensive picture of the redistributive effect of as many tax and expenditure items as possible.…”

Section: Methods and Approachmentioning

confidence: 82%

Fiscal Incidence in Tanzania

Younger¹,

Myamba²,

Mdadila³

2016

African Development Review

View full text Add to dashboard Cite

We use methods developed by the Commitment to Equity and data from the 2011/12 Household Budget Survey to assess the effects of government taxation, social spending and indirect subsidies on poverty and inequality in Tanzania. We also simulate several policy reforms to assess their distributional consequences. We find that Tanzania redistributes more than expected given its relatively low income and inequality, largely because both direct and indirect taxes are more progressive than in other countries. Tanzania's nascent conditional cash transfer program has an excellent targeting mechanism. If the program were expanded to a size that is typical for lower-middle income countries, it could reduce poverty significantly. On the other hand, electricity subsidies are regressive despite attempts to make them more pro-poor with a lifeline tariff.

show abstract

“…Studies in Kenya reported that 76.7%-87.3% of the population sought treatment from healthcare service providers [76,77]. Like in Tanzania, relatively lower prevalence rates among rural populations of Uganda (54.1%) [78], Zambia (56.8%), [79], Ghana (55.5%) [80] and Ethiopia (43.2%) [81] seek care from conventional healthcare facilities.…”

Section: Performance Of Idsr Strategymentioning

confidence: 99%

Twenty Years of Integrated Disease Surveillance and Response in Sub-Saharan Africa: Challenges and Opportunities for Effective Management of Infectious Disease Epidemics

Mremi

George

Rumisha

et al. 2020

Preprint

View full text Add to dashboard Cite

Background: Public health surveillance requires valid, timely and complete health information for early detection of outbreaks. Countries in Sub-Saharan Africa (SSA) adopted Integrated Disease Surveillance and Response (IDSR) strategy in 1998 in response to an increased frequency of emerging and re-emerging diseases in the region. This systematic review aimed to analyse how IDSR implementation has embraced advancement in information technology, big data analytics techniques and wealth of data sources to strengthen detection and management of infectious disease epidemics in SSA. Methods: A search for eligible articles was done through HINARI, PubMed, and advanced Google Scholar databases. The review followed Preferred Reporting Items for Systematic Reviews and Meta-Analysis Protocols checklist. Using the key search descriptors, 1,809 articles were identified and screened at two stages and 45 studies met the inclusion criteria for detailed review.Results: Of the 45 studies, 35 were country-specific, seven studies covered the region and three studies covered 3-4 countries. A total of 24 studies assessed the IDSR core functions while 42 studies assessed the support functions. Twenty-three studies addressed both the core and support functions. Most of the studies involved Tanzania (9), Ghana (6) and Uganda (5). The implementation of the IDSR strategy has shown improvements mainly in the support functions. The Health Management Information System (HMIS) has remained the main source of IDSR data. However, the HMIS system is characterised by inadequate data completeness, timeliness, quality, analysis and utilisation as well as lack of integration of data from sources other than health care facilities. Conclusion: In most SSA, HMIS is the main source of IDSR data, characterised by incompleteness, inconsistency and inaccuracy. This data is considered to be biased and reflects only the population seeking care from healthcare facilities. Community-based event-based surveillance is weak and non-existence in the majority of the countries. Data from other systems are not effectively utilized and integrated for surveillance. It is recommended that SSA countries consider and adopt multi-sectoral, multi-disease and multi-indicator platforms that integrate the existing surveillance systems with other sources of health information to provide support to effective detection and prompt response to public health threats.

show abstract

The Demand for Public Health Care and the Progressivity of Health Care Services in Ghana

Cited by 11 publications

References 20 publications

Demand for health care service and associated factors among patients in the community of Tsegedie District, Northern Ethiopia

Demand for health care service and associated factors among patients in the community of Tsegedie District, Northern Ethiopia

Fiscal Incidence in Tanzania

Twenty Years of Integrated Disease Surveillance and Response in Sub-Saharan Africa: Challenges and Opportunities for Effective Management of Infectious Disease Epidemics

Contact Info

Product

Resources

About