“…Remote forested and tribal areas are most affected . The government of India has been emphasising tribal development for more than 65 years and designated them as Scheduled Tribes, but because of their heterogeneous nature the desired level of development has not been achieved so far . Traditional home remedies, faith healers and self‐medication as a first line of treatment for febrile illness are very common in remote rural communities and delay seeking treatment at appropriate health facilities with diagnosis and treatment .…”
Demand for formal health services among the poor, illiterate, tribal population living in remote areas is low. Accessible and affordable health services and a sensitisation programme to increase the demand for formal providers are needed.
“…Remote forested and tribal areas are most affected . The government of India has been emphasising tribal development for more than 65 years and designated them as Scheduled Tribes, but because of their heterogeneous nature the desired level of development has not been achieved so far . Traditional home remedies, faith healers and self‐medication as a first line of treatment for febrile illness are very common in remote rural communities and delay seeking treatment at appropriate health facilities with diagnosis and treatment .…”
Demand for formal health services among the poor, illiterate, tribal population living in remote areas is low. Accessible and affordable health services and a sensitisation programme to increase the demand for formal providers are needed.
“…Additionally, because of commercial relations, many Indigenous people need to contact non-Indigenous people in proximal cities where the SARS-CoV-2 was already circulating. 7 , 8 Once the disease is present in a tribe, cultural factors and typical behavioral aspects, such as sharing household items, community housing and some hygienic practices, may have facilitated its spread. 8 …”
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confidence: 99%
“…Moreover, many Indigenous communities have difficulty to access primary health facilities, basic medicines and hospitals equipped with ventilators and intensive care unit beds that would be needed to treat severe cases of COVID-19. 7 , 9 Unfortunately, this situation has been exacerbated by reduction in the investments of the More Doctors Program (Programa Mais Médicos, acronym in Portuguese), 10 , 11 which resulted in the dismissal of more than 8000 doctors for primary health care in 2019, mainly affecting Indigenous communities in remote areas.…”
Coronavirus disease 2019 (COVID-19) has disproportionately affected Black people and minority ethnic groups, but there are limited data regarding the impact of disease on Indigenous people. Herein, we investigated the burden of COVID-19 on the Indigenous population in Brazil. We performed a populational-based study including all cases and deaths from COVID-19 among Brazilian Indigenous people from 26 February to 28 August 2020. Data were obtained from official Brazilian information systems. We calculated incidence, mortality and fatality rates for the Indigenous population for each of the five Brazilian regions. Brazil had an incidence and a mortality rate of 3546.4 cases and 65.0 deaths per 100 000 population, respectively. The case fatality rate (CFR) was 1.8%. The Central-West had the higher estimates of disease burden among Brazilian Indians (incidence rate: 3135.0/100 000; mortality rate: 101.2/100 000 and CFR: 3.2%) followed by the North region (incidence rate: 5664.4/100 000; mortality rate: 92.2/100 000 and CFR: 1.6%). Governmental actions should guarantee the isolation, monitoring and testing capabilities of Indigenous people and rapidly to provide social protection and health facilities.
“…16 The original model focused on the "family" as the unit of analysis, because the medical care an individual receives is mostly a function of the demographic, social, and economic characteristics of the family as a unit. 14,15 There has been no study employing the model in India using primary data. Hence, the objective of this study was to investigate the determinants of HSB in the selected ST population living in peri-urban settlements, with the aim of informing policy makers to formulate and deliver tailored public health interventions.…”
Section: Introductionmentioning
confidence: 99%
“…As a result, programmatic interventions intended for STs are often not uniformly accepted; hence, there is need to generate tribe-specific data on HSB for tailored health promotion strategies and interventions. 14 There is dearth of evidence on HSB in ST populations living in peri-urban settlements. Exploration of contextual factors (including community and health system factors) influencing their HSB is thus necessitated.…”
India’s scheduled tribe population very often bears the brunt of inequity in accessing health care. The mixed-method research assessed the health care–seeking behavior (HSB) of a tribal community residing in the eastern fringes of Kolkata metropolis. An adult, preferably the head, in 209 households was interviewed followed by qualitative interviews with relevant stakeholders. Conceptual framework of Andersen’s behavioral model helped in identifying the potential predisposing, enabling, and need factors that influenced HSB. A total of 25.4% respondents reportedly sought informal care during last illness episode. Multivariable hierarchical-regression model (Nagelkerke R2 = 0.381) showed that respondents’ education level (adjusted odds ratio [AOR]; 95% confidence interval [CI]: 2.52 [1.22-5.21]), household size (AOR [95% CI]: 3.14 [1.41-6.95]), nonenrollment to health insurance (AOR [95% CI]: 2.47 [1.08-5.59]), decision making by household head (AOR [95% CI]: 2.40 [1.23-4.71]), distance from the nearest urban primary health center (AOR [95% CI]: 3.18 [1.44-7.03]), and poor perception to illness severity [AOR [95% CI]: 2.24 [1.07-4.72]) were significantly associated to inappropriate HSB. Predominant health system barriers that emerged from qualitative interviews were irregular logistics, unfavorable outpatient timing, absence of female doctors, and nonretention of doctors at local urban primary health center. Community level barriers were poor awareness, self-medication practices, poor health insurance coverage, and poor public transportation. Recognition of these determinants may help in developing health promotion interventions tailored to their needs.
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