Health sector reforms and changes in prevalence of untreated morbidity, choice of healthcare providers among the poor and rural population in India.
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ABSTRACT:
SUBMITTER: Ghosh S
PROVIDER: S-EPMC3992787 | biostudies-other | 2014 Apr
REPOSITORIES: biostudies-other
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Health sector reforms and changes in prevalence of untreated morbidity, choice of healthcare providers among the poor and rural population in India.
International journal of health policy and management 20140402 3
<h4>Background</h4>India's health sector witnessed some major policy changes in 1990s that aimed at making health services more accessible to the population.<h4>Methods</h4>In this paper, I tried to present some preliminary results of the significant changes that occurred between 1995/6 and 2004, especially in relation to the question of access to healthcare for the poor and rural population using data from 52nd (1995-6) and 60th round (2004) of National Sample Survey Organization on 'morbidity ...[more]
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Project description:BACKGROUND: This study examines health-related "hardship financing" in order to get better insights on how poor households finance their out-of-pocket healthcare costs. We define hardship financing as having to borrow money with interest or to sell assets to pay out-of-pocket healthcare costs. METHODS: Using survey data of 5,383 low-income households in Orissa, one of the poorest states of India, we investigate factors influencing the risk of hardship financing with the use of a logistic regression. RESULTS: Overall, about 25% of the households (that had any healthcare cost) reported hardship financing during the year preceding the survey. Among households that experienced a hospitalization, this percentage was nearly 40%, but even among households with outpatient or maternity-related care around 25% experienced hardship financing.Hardship financing is explained not merely by the wealth of the household (measured by assets) or how much is spent out-of-pocket on healthcare costs, but also by when the payment occurs, its frequency and its duration (e.g. more severe in cases of chronic illnesses). The location where a household resides remains a major predictor of the likelihood to have hardship financing despite all other household features included in the model. CONCLUSIONS: Rural poor households are subjected to considerable and protracted financial hardship due to the indirect and longer-term deleterious effects of how they cope with out-of-pocket healthcare costs. The social network that households can access influences exposure to hardship financing. Our findings point to the need to develop a policy solution that would limit that exposure both in quantum and in time. We therefore conclude that policy interventions aiming to ensure health-related financial protection would have to demonstrate that they have reduced the frequency and the volume of hardship financing.
| S-EPMC3317855 | biostudies-other
Project description:The interrelationship between the public and private sectors, and formal and informal healthcare sectors effects market-level service quality, pricing behaviour and referral networks. However, health utilisation analysis of national survey data from many low and middle income countries is constrained by the lack of disaggregated health provider data. This study is concerned with the pattern of repeat outpatient consultations for a single episode of fever from public and private qualified providers and private unqualified providers. Cross-sectional survey data from 1173 adult respondents sampled from three districts within India's most populous state-Uttar Pradesh is analysed. Data was collected during the monsoon season-September to October-in 2012. Regression analysis focuses on the pattern of repeats visits for a single episode of mild-sever fever as the dependent variable. Results show that Women and Muslims in rural north India are more likely to not access healthcare, and if they do, consult with low quality unqualified outpatient healthcare providers. For fever durations of four or more days, men are more likely to access unqualified providers compared to women. Results of the current study supports the literature that women's utilisation of outpatient healthcare for communicable illnesses in LMICs is often less than men. A relative lack of access to household resources explains why fever duration parameter estimates for women and men differ.
| S-EPMC6034796 | biostudies-literature
Project description:To control the double burden of communicable and non-communicable diseases (NCDs), in the developing world, understanding the patterns of morbidity and healthcare-seeking is critical. The objective of this cross-sectional study was to determine the distribution, predictors and inter-relationship of perceived morbidity and related healthcare-seeking behavior in a poor-resource setting.Between October 2013 and July 2014, 43999 consenting subjects were recruited from 10107 households in Malda district of West Bengal state in India, through multistage random sampling, using probability proportional-to-size. Information on socio-demographics, behaviors, recent ailments, perceived severity and healthcare-seeking were analyzed in SAS-9.3.2.Recent illnesses were reported by 55.91% (n=24,600) participants. Among diagnosed ailments (n=23,626), 50.92% (n=12,031) were NCDs. Respiratory (17.28%, n=7605)), gastrointestinal (13.48%, n=5929) and musculoskeletal (6.25%, n=2749) problems were predominant. Non-qualified practitioners treated 53.16% (n=13,074) episodes. Older children/adolescents [adjusted odds ratio for private healthcare providers (AORPri)=0.76, 95% confidence interval=0.71-0.83) and for Govt. healthcare provider (AORGovt)=0.80(0.68-0.95)], females [AORGovt=0.80(0.73-0.88)], Muslims [AORPri=0.85(0.69-0.76) and AORGovt=0.92(0.87-0.96)], backward castes [AORGovt=0.93(0.91-0.96)] and rural residents [AORPri=0.82(0.75-0.89) and AORGovt=0.72(0.64-0.81)] had lower odds of visiting qualified practitioners. Apparently less severe NCDs [acid-peptic disorders: AORPri=0.41(0.37-0.46) & AORGovt=0.41(0.37-0.46), osteoarthritis: AORPri=0.72(0.59-0.68) & AORGovt=0.58(0.43-0.78)], gastrointestinal [AORPri=0.28(0.24-0.33) & AORGovt=0.69(0.58-0.81)], respiratory [AORPri=0.35(0.32-0.39) & AORGovt=0.46(0.41-0.52)] and skin infections [AORPri=0.65(0.55-0.77)] were also less often treated by qualified practitioners. Better education [AORPri=1.91(1.65-2.22) for ≥graduation], sanitation [AORPri=1.58(1.42-1.75)] and access to safe water [AORPri=1.33(1.05-1.67)] were associated with healthcare-seeking from qualified private practitioners. Longstanding NCDs [chronic obstructive pulmonary diseases: AORPri=1.80(1.46-2.23), hypertension: AORPri=1.94(1.60-2.36), diabetes: AORPri=4.94(3.55-6.87)] and serious infections [typhoid: AORPri=2.86(2.04-4.03)] were also more commonly treated by qualified private practitioners. Potential limitations included temporal ambiguity, reverse causation, generalizability issues and misclassification.In this poor-resource setting with high morbidity, ailments and their perceived severity were important predictors for healthcare-seeking. Interventions to improve awareness and healthcare-seeking among under-privileged and vulnerable population with efforts to improve the knowledge and practice of non-qualified practitioners probably required urgently.
| S-EPMC4428703 | biostudies-other
Project description:Informal healthcare providers (IHCPs) are predominant healthcare providers in rural India, who prescribe without formal training. Antibiotic prescription by IHCPs could provide crucial information for controlling antibiotic resistance. The aim of this study is to determine the practices and seasonal changes in antibiotic prescribing for common illnesses by IHCPs. A repeated cross-sectional study was conducted over 18 months, covering different seasons in the rural demographic surveillance site, at Ujjain, India. Prescriptions given to outpatients by 12 IHCPs were collected. In total, 15,322 prescriptions for 323 different complaint combinations were analyzed, of which 11,336 (74%) included antibiotics. The results showed that 14,620 (95%) of antibiotics prescribed were broad spectrum and the most commonly prescribed were fluoroquinolones (4771,31%), followed by penicillin with an extended spectrum (4119,27%) and third-generation cephalosporin (3069,20%). Antibiotics were prescribed more frequently in oral and dental problems (1126,88%), fever (3569,87%), and upper respiratory tract infections (3273, 81%); more during the monsoon season (2350,76%); and more frequently to children (3340,81%) than to adults (7996,71%). The study concludes that antibiotics were the more commonly prescribed drugs compared to other medications for common illnesses, most of which are broad-spectrum antibiotics, a situation that warrants further investigations followed by immediate and coordinated efforts to reduce unnecessary antibiotic prescriptions by IHCPs.
| S-EPMC6783982 | biostudies-literature
Project description:BackgroundHealth outcomes in India are characterized by pervasive inequities due to deeply entrenched socio-economic gradients amongst the population. Therefore, it is imperative to investigate these systematic disparities in health, however, evidence of inequities does not commensurate with its policy objectives in India. Thus, our paper aims to examine the magnitude of and trends in horizontal inequities in self-reported morbidity and untreated morbidity in India over the period of 2004 to 2017-18.MethodsThe study used cross-sectional data from nationwide healthcare surveys conducted in 2004, 2014 and 2017-18 encompassing sample size of 3,85,055; 3,35,499 and 5,57,887 individuals respectively. Erreygers concentration indices were employed to discern the magnitude and trend in horizontal inequities in self-reported morbidity and untreated morbidity. Need standardized concentration indices were further used to unravel the inter-regional and intra-regional income related inequities in outcomes of interest. Additionally, regression based decomposition approach was applied to ascertain the contributions of both legitimate and illegitimate factors in the measured inequalities.ResultsEstimates were indicative of profound inequities in self-reported morbidity as inequity indices were positive and significant for all study years, connoting better-off reporting more morbidity, given their needs. These inequities however, declined marginally from 2004(HI: 0.049, p< 0.01) to 2017-18(HI: 0.045, P< 0.01). Untreated morbidity exhibited pro-poor inequities with negative concentration indices. Albeit, significant reduction in horizontal inequity was found from 2004(HI= - 0.103, p< 0.01) to 2017-18(HI = - 0.048, p< 0.01) in treatment seeking over the years. The largest contribution of inequality for both outcomes stemmed from illegitimate variables in all the study years. Our findings also elucidated inter-state heterogeneities in inequities with high-income states like Andhra Pradesh, Kerala and West Bengal evincing inequities greater than all India estimates and Northeastern states divulged equity in reporting morbidity. Inequities in untreated morbidity converged for most states except in Punjab, Chhattisgarh and Himachal Pradesh where widening of inequities were observed from 2004 to 2017-18.ConclusionsPro-rich and pro-poor inequities in reported and untreated morbidities respectively persisted from 2004 to 2017-18 despite reforms in Indian healthcare. Magnitude of these inequities declined marginally over the years. Health policy in India should strive for targeted interventions closing inequity gap.
| S-EPMC7842052 | biostudies-literature
Project description:BACKGROUND: Uganda implemented health sector reforms to make services more accessible to the population. An assessment of the likely impact of these reforms is important for informing policy. This paper describes the changes in utilization of health services that occurred among the poor and those in rural areas between 2002/3 and 2005/6 and associated factors. METHODS: Secondary data analysis was done using the socio-economic component of the Uganda National Household Surveys 2002/03 and 2005/06. The poor were identified from wealth quintiles constructed using an asset based index derived from Principal Components Analysis (PCA). The probability of choice of health care provider was assessed using multinomial logistic regression and multi-level statistical models. RESULTS: The odds of not seeking care in 2005/6 were 1.79 times higher than in 2002/3 (OR = 1.79; 95% CI 1.65 - 1.94). The rural population experienced a 43% reduction in the risk of not seeking care because of poor geographical access (OR = 0.57; 95% CI 0.48 - 0.67). The risk of not seeking care due to high costs did not change significantly. Private for profit providers (PFP) were the major providers of services in 2002/3 and 2005/6. Using PFP as base category, respondents were more likely to have used private not for profit (PNFP) in 2005/6 than in 2002/3 (OR = 2.15; 95% CI 1.58 - 2.92), and also more likely to use public facilities in 2005/6 than 2002/3 (OR = 1.31; 95% CI 1.15 - 1.48). The most poor, females, rural residents, and those from elderly headed households were more likely to use public facilities relative to PFP. CONCLUSION: Although overall utilization of public and PNFP services by rural and poor populations had increased, PFP remained the major source of care. The odds of not seeking care due to distance decreased in rural areas but cost continued to be an important barrier to seeking health services for residents from poor, rural, and elderly headed households. Policy makers should consider targeting subsidies to the poor and rural populations. Public private partnerships should be broadened to increase access to health services among the vulnerable.
| S-EPMC2781807 | biostudies-other
Project description:BackgroundGovernment spending on provision of secondary healthcare has increased four-fold (in real terms) over the last decade in India. The evidence on the cost of secondary care to the health system is limited. The present study estimates the total and unit cost of services at community health centres (CHCs) and district hospitals (DHs) across India.MethodsThe present study was undertaken in 19 CHCs and ten DHs across the four Indian states of Himachal Pradesh, Tamil Nadu, Kerala and Odisha to assess the economic cost of health services using a bottom-up methodology. Data on annual consumption of both capital and recurrent resources, spent in the provision of health services during the financial year of 2014-2015, were collected. Capital expenditure was annualised and shared resources were allocated to each of the shared activities using appropriate statistics.ResultsThe mean annual costs of providing services at the CHC and DH level were 17 million Indian rupees (₹) ($US0.27 million) and ₹147 million ($US2.3 million), respectively. More than half of this annual cost was attributed to salaries (57% and 62% for CHC and DH level, respectively) and curative care (60% and 65%, respectively). At CHCs, the unit cost ranged from ₹134 (95% confidence interval [CI] 104-160) for an outpatient consultation to ₹3833 (95% CI 2668-5839) for institutional delivery. Similarly, at DH level, the unit cost varied from ₹183 (95% CI 124-248) for an outpatient consultation in an orthopaedics department to ₹4764 (95% CI 3268-6960) for an operation.ConclusionThe estimates from the present study may help generate benchmarks to aid in setting up provider payment rates and be used in future economic evaluations.
| S-EPMC7248147 | biostudies-literature
Project description:BackgroundDengue fever is a rapidly emerging infection throughout the tropics and subtropics with extensive public health burden. Adequate training of healthcare providers is crucial to reducing infection incidence through patient education and collaboration with public health authorities. We examined how public sector healthcare providers in a dengue-endemic region of Ecuador view and manage dengue infections, with a focus on the 2009 World Health Organization (WHO) Dengue Guidelines.MethodsA 37-item questionnaire of dengue knowledge, attitudes, and practices was developed and administered to dengue healthcare providers in Machala, Ecuador. Survey focus areas included: "Demographics," "Infection and Prevention of Dengue," "Dengue Diagnosis and the WHO Dengue Guide," "Laboratory Testing," "Treatment of Dengue," and "Opinions Regarding Dengue."ResultsA total of 76 healthcare providers participated in this study, of which 82 % were medical doctors and 14 % were nurses. Fifty-eight percent of healthcare professionals practiced in ambulatory clinics and 34 % worked in a hospital. Eighty-nine percent of respondents were familiar with the 2009 WHO Dengue Guidelines, and, within that group, 97 % reported that the WHO Dengue Guide was helpful in dengue diagnosis and clinical management. Knowledge gaps identified included Aedes aegypti mosquito feeding habits and dengue epidemiology. Individuals with greater dengue-related knowledge were more likely to consider dengue a major health problem. Only 22 % of respondents correctly reported that patients with comorbidities and dengue without warning signs require hospital admission, and 25 % of providers reported never admitting patients with dengue to the hospital. Twenty percent of providers reported rarely (?25 % of cases) obtaining laboratory confirmation of dengue infection. Providers reported patient presumptive self-medication as an ongoing problem. Thirty-one percent of healthcare providers reported inadequate access to resources needed to diagnose and treat dengue.ConclusionParticipants demonstrated a high level of knowledge of dengue symptoms and treatment, but additional training regarding prevention, diagnosis, and admission criteria is needed. Interventions should not only focus on increasing knowledge, but also encourage review of the WHO Dengue Guidelines, avoidance of presumptive self-medication, and recognition of dengue as a major health problem. This study provided an assessment tool that effectively captured healthcare providers' knowledge and identified critical gaps in practice.
| S-EPMC5531027 | biostudies-literature
Project description:Globally, Antibiotic resistance is a major public health concern, with antibiotic use contributing significantly. Targeting informal healthcare providers (IHCPs) is important to achieve universal health coverage and effective antibiotic stewardship in resource-constrained settings. We, therefore, aimed to analyse the internal and external drivers that influence IHCPs' prescribing behaviour for common illnesses in children under five, with an emphasis on antibiotic use in rural areas of India. A total of 48 IHCPs participated in focus group discussions. Thematic framework analysis with an inductive approach was used, and findings were collated in the theoretical framework based on knowledge, attitude, and practice model which depicted that the decisions made by IHCPs while prescribing antibiotics are complex and influenced by a variety of external and internal drivers. IHCPs' internal drivers included the misconception that it is impossible to treat a patient without antibiotics and that antibiotics increase the effectiveness of other drugs and cure patients faster in order to retain them. Formal healthcare providers were the IHCPs' sources of information, which influences their antibiotic prescribing. We found when it comes to seeking healthcare in rural areas, the factors that influence their choice include 'rapid cure', 'cost of treatment', 'distance' and '24 h availability', instead of qualification, which may create pressure for IHCPs to provide a quick fix. Targeted and coordinated efforts at all levels will be needed to change the antibiotic prescribing practices of IHCPs with a focus on behaviour change and to help resolve misconceptions about antibiotics.
| S-EPMC9029264 | biostudies-literature
Project description:OBJECTIVES:This study aimed to assess patients' healthcare-seeking preferences in mild, chronic, and serious illness; identify influential factors; and examine the reasons underlying patients' healthcare-seeking preference. DESIGN:A retrospective study. SETTING:The study was conducted in 14 tertiary hospitals in Shanghai, China. PARTICIPANTS:Questionnaires were distributed to 1519 patients, and 1114 were completed and returned. All patients participated in the study voluntarily, provided written informed consent, and possessed the ability to complete the questionnaire. MAIN OUTCOME MEASURES:We measured and compared preferences and choice of healthcare providers in patients if they had experienced mild, chronic, or serious illness. RESULTS:More than 50% of participants, including those who were >60 years of age, had consulted a doctor more than three times during the preceding year, were single, and were most likely to decide not to seek medical treatment. Community health facilities were the most frequently selected healthcare provider in mild illness. In addition, patients who had no personal preference, did not express a preference for a good environment or first-class medical technology, were concerned about close proximity and short waiting times, and pursued low medical costs were most likely to choose a community health facility. General hospitals were the most frequently selected healthcare provider in chronic and serious illness. In addition, patients who earned higher monthly incomes, did not pursue low medical costs, were not concerned about short waiting times or close proximity, and expressed a preference for first-class medical technology, were most likely to choose general hospitals. CONCLUSION:Patients' healthcare-seeking preference was influenced mainly by healthcare providers' characteristics, illness severity, and sociodemographic characteristics. These findings indicate that patients' current healthcare-seeking preference was not ideal and requires optimisation.
| S-EPMC5695435 | biostudies-literature