Treatment choices for fevers in children under-five years in a rural Ghanaian district

<p>Abstract</p> <p>Background</p> <p>Health care demand studies help to examine the behaviour of individuals and households during illnesses. Few of existing health care demand studies examine the choice of treatment services for childhood illnesses. Besides, in their analyses, many of the existing studies compare alternative treatment options to a single option, usually self-medication. This study aims at examining the factors that influence the choices that caregivers of children under-five years make regarding treatment of fevers due to malaria and pneumonia in a rural setting. The study also examines how the choice of alternative treatment options compare with each other.</p> <p>Methods</p> <p>The study uses data from a 2006 household socio-economic survey and health and demographic surveillance covering caregivers of 529 children under-five years of age in the Dangme West District and applies a multinomial probit technique to model the choice of treatment services for fevers in under-fives in rural Ghana. Four health care options are considered: self-medication, over-the-counter providers, public providers and private providers.</p> <p>Results</p> <p>The findings indicate that longer travel, waiting and treatment times encourage people to use self-medication and over-the-counter providers compared to public and private providers. Caregivers with health insurance coverage also use care from public providers compared to over-the-counter or private providers. Caregivers with higher incomes use public and private providers over self-medication while higher treatment charges and longer times at public facilities encourage caregivers to resort to private providers. Besides, caregivers of female under-fives use self-care while caregivers of male under-fives use public providers instead of self-care, implying gender disparity in the choice of treatment.</p> <p>Conclusions</p> <p>The results of this study imply that efforts at curbing under-five mortality due to malaria and pneumonia need to take into account care-seeking behaviour of caregivers of under-fives as well as implementation of strategies.</p

Quality of private and public ambulatory health care in low and middle income countries: systematic review of comparative studies

Paul Garner and colleagues conducted a systematic review of 80 studies to compare the quality of private versus public ambulatory health care in low- and middle-income countries

Promoting Universal Financial Protection: Evidence from Seven Low- and Middle-Income Countries on Factors Facilitating or Hindering Progress.

Although universal health coverage (UHC) is a global health policy priority, there remains limited evidence on UHC reforms in low- and middle-income countries (LMICs). This paper provides an overview of key insights from case studies in this thematic series, undertaken in seven LMICs (Costa Rica, Georgia, India, Malawi, Nigeria, Tanzania, and Thailand) at very different stages in the transition to UHC.These studies highlight the importance of increasing pre-payment funding through tax funding and sometimes mandatory insurance contributions when trying to improve financial protection by reducing out-of-pocket payments. Increased tax funding is particularly important if efforts are being made to extend financial protection to those outside formal-sector employment, raising questions about the value of pursuing contributory insurance schemes for this group. The prioritisation of insurance scheme coverage for civil servants in the first instance in some LMICs also raises questions about the most appropriate use of limited government funds.The diverse reforms in these countries provide some insights into experiences with policies targeted at the poor compared with universalist reform approaches. Countries that have made the greatest progress to UHC, such as Costa Rica and Thailand, made an explicit commitment to ensuring financial protection and access to needed care for the entire population as soon as possible, while this was not necessarily the case in countries adopting targeted reforms. There also tends to be less fragmentation in funding pools in countries adopting a universalist rather than targeting approach. Apart from limiting cross-subsidies, fragmentation of pools has contributed to differential benefit packages, leading to inequities in access to needed care and financial protection across population groups; once such differentials are entrenched, they are difficult to overcome. Capacity constraints, particularly in purchasing organisations, are a pervasive problem in LMICs. The case studies also highlighted the critical role of high-level political leadership in pursuing UHC policies and citizen support in sustaining these policies.This series demonstrates the value of promoting greater sharing of experiences on UHC reforms across LMICs. It also identifies key areas of future research on health care financing in LMICs that would support progress towards UHC

Who uses outpatient healthcare services under Ghana’s health protection scheme and why?

Background: The National Health Insurance Scheme (NHIS) was launched in Ghana in 2003 with the main objective of increasing utilisation to healthcare by making healthcare more affordable. Previous studies on the NHIS have repeatedly highlighted that cost of premiums is one of the major barriers for enrollment. However, despite introducing premium exemptions for pregnant women, older people, children and indigents, many Ghanaians are still not active members of the NHIS. In this paper we investigate why there is limited success of the NHIS in improving access to healthcare in Ghana and whether social exclusion could be one of the limiting barriers. The study explores this by looking at the Social, Political, Economic and Cultural (SPEC) dimensions of social exclusion. Methods: Using logistic regression, the study investigates the determinants of health service utilisation using SPEC variables including other variables. Data was collected from 4050 representative households in five districts in Ghana covering the 3 ecological zones (coastal, forest and savannah) in Ghana. Results: Among 16,200 individuals who responded to the survey, 54 % were insured. Out of the 1349 who sought health care, 64 % were insured and 65 % of them had basic education and 60 % were women. The results from the logistic regressions show health insurance status, education and gender to be the three main determinants of health care utilisation. Overall, a large proportion of the insured who reported ill, sought care from formal health care providers compared to those who had never insured in the scheme. Conclusion: The paper demonstrates that the NHIS presents a workable policy tool for increasing access to healthcare through an emphasis on social health protection. However, affordability is not the only barrier for access to health services. Geographical, social, cultural, informational, political, and other barriers also come into play

Choice of treatment for fever at household level in Malawi: examining spatial patterns

BACKGROUND: Although malaria imposes an enormous burden on Malawi, it remains a controllable disease. The key strategies for control are based on early diagnosis and prompt treatment with effective antimalarials. Its success, however, depends on understanding the factors influencing health care decision making at household level, which has implications for implementing policies aimed at promoting health care practices and utilization. METHODS: An analysis of patterns of treatment-seeking behaviour among care-givers of children of malarial fever in Malawi, based on the 2000 Malawi demographic and health survey, is presented. The choice of treatment provider (home, shop, or formal hospital care, others) was considered as a multi-categorical response, and a multinomial logistic regression model was used to investigate determinants of choosing any particular provider. The model incorporated random effects, at subdistrict level, to measure the influence of geographical location on the choice of any treatment provider. Inference was Bayesian and based on Markov chain Monte Carlo techniques. RESULTS AND CONCLUSION: Spatial variation was found in the choice of a provider and determinants of choice of any provider differed. Important risk factors included place of residence, access to media, care-giver's age and care factors including unavailability and inaccessibility of care. A greater effort is needed to improve the quality of malaria home treatment or expand health facility utilization, at all levels of administration if reducing malaria is to be realised in Malawi. Health promotion and education interventions should stress promptness of health facility visits, improved access to appropriate drugs, and accurate dosing for home-based treatments

Contextual influences on health worker motivation in district hospitals in Kenya

<p>Abstract</p> <p>Background</p> <p>Organizational factors are considered to be an important influence on health workers' uptake of interventions that improve their practices. These are additionally influenced by factors operating at individual and broader health system levels. We sought to explore contextual influences on worker motivation, a factor that may modify the effect of an intervention aimed at changing clinical practices in Kenyan hospitals.</p> <p>Methods</p> <p>Franco LM, et al's (Health sector reform and public sector health worker motivation: a conceptual framework. Soc Sci Med. 2002, 54: 1255–66) model of motivational influences was used to frame the study Qualitative methods including individual in-depth interviews, small-group interviews and focus group discussions were used to gather data from 185 health workers during one-week visits to each of eight district hospitals. Data were collected prior to a planned intervention aiming to implement new practice guidelines and improve quality of care. Additionally, on-site observations of routine health worker behaviour in the study sites were used to inform analyses.</p> <p>Results</p> <p>Study settings are likely to have important influences on worker motivation. Effective management at hospital level may create an enabling working environment modifying the impact of resource shortfalls. Supportive leadership may foster good working relationships between cadres, improve motivation through provision of local incentives and appropriately handle workers' expectations in terms of promotions, performance appraisal processes, and good communication. Such organisational attributes may counteract de-motivating factors at a national level, such as poor schemes of service, and enhance personally motivating factors such as the desire to maintain professional standards.</p> <p>Conclusion</p> <p>Motivation is likely to influence powerfully any attempts to change or improve health worker and hospital practices. Some factors influencing motivation may themselves be influenced by the processes chosen to implement change.</p

Developing a tool to measure health worker motivation in district hospitals in Kenya

BACKGROUND: We wanted to try to account for worker motivation as a key factor that might affect the success of an intervention to improve implementation of health worker practices in eight district hospitals in Kenya. In the absence of available tools, we therefore aimed to develop a tool that could enable a rapid measurement of motivation at baseline and at subsequent points during the 18-month intervention study. METHODS: After a literature review, a self-administered questionnaire was developed to assess the outcomes and determinants of motivation of Kenyan government hospital staff. The initial questionnaire included 23 questions (from seven underlying constructs) related to motivational outcomes that were then used to construct a simpler tool to measure motivation. Parallel qualitative work was undertaken to assess the relevance of the questions chosen and the face validity of the tool. RESULTS: Six hundred eighty-four health workers completed the questionnaires at baseline. Reliability analysis and factor analysis were used to produce the simplified motivational index, which consisted of 10 equally-weighted items from three underlying factors. Scores on the 10-item index were closely correlated with scores for the 23-item index, indicating that in future rapid assessments might be based on the 10 questions alone. The 10-item motivation index was also able to identify statistically significant differences in mean health worker motivation scores between the study hospitals (p<0.001). The parallel qualitative work in general supported these conclusions and contributed to our understanding of the three identified components of motivation. CONCLUSION: The 10-item score developed may be useful to monitor changes in motivation over time within our study or be used for more extensive rapid assessments of health worker motivation in Kenya

Health worker motivation in the context of HIV care and treatment challenges in Mbeya Region, Tanzania: A qualitative study

Health worker motivation can potentially affect the provision of health services. The HIV pandemic has placed additional strain on health service provision through the extra burden of increased testing and counselling, treating opportunistic infections and providing antiretroviral treatment. The aim of this paper is to explore the challenges generated by HIV care and treatment and their impact on health worker motivation in Mbeya Region, Tanzania. Thirty in-depth interviews were conducted with health workers across the range of health care professions in health facilities in two high HIV-prevalence districts of Mbeya Region, Tanzania. A qualitative framework analysis was adopted for data analysis. The negative impact of HIV-related challenges on health worker motivation was confirmed by this study. Training seminars and workshops related to HIV contributed to the shortage of health workers in the facilities. Lower status workers were frequently excluded from training and were more severely affected by the consequent increase in workload as seminars were usually attended by higher status professionals who controlled access. Constant and consistent complaints by clients have undermined health workers' expectations of trust and recognition. Health workers were forced to take responsibility for dealing with problems arising from organisational inefficiencies within the health system. HIV-related challenges undermine motivation among health workers in Mbeya, Tanzania with the burden falling most heavily on lower status workers. Strained relations between health workers and the community they serve, further undermine motivation of health workers

Assessing household wealth in health studies in developing countries: a comparison of participatory wealth ranking and survey techniques from rural South Africa

BACKGROUND: Accurate tools for assessing household wealth are essential for many health studies in developing countries. Household survey and participatory wealth ranking (PWR) are two approaches to generate data for this purpose. METHODS: A household survey and PWR were conducted among eight villages in rural South Africa. We developed three indicators of household wealth using the data. One indicator used PWR data only, one used principal components analysis to combine data from the survey, while the final indicator used survey data combined in a manner informed by the PWR. We assessed internal consistency of the indices and assessed their level of agreement in ranking household wealth. RESULTS: Food security, asset ownership, housing quality and employment were important indicators of household wealth. PWR, consisting of three independent rankings of 9671 households, showed a high level of internal consistency (intraclass correlation coefficient 0.81, 95% CI 0.79-0.82). Data on 1429 households were available from all three techniques. There was moderate agreement in ranking households into wealth tertiles between the two indicators based on survey data (spearman rho = 0.69, kappa = 0.43), but only limited agreement between these techniques and the PWR data (spearman rho = 0.38 and 0.31, kappa = 0.20 and 0.17). CONCLUSION: Both PWR and household survey can provide a rapid assessment of household wealth. Each technique had strengths and weaknesses. Reasons for differences might include data inaccuracies or limitations in the methods by which information was weighted. Alternatively, the techniques may measure different things. More research is needed to increase the validity of measures of socioeconomic position used in health studies in developing countries