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1.
BMC Pregnancy Childbirth ; 17(1): 77, 2017 03 04.
Artigo em Inglês | MEDLINE | ID: mdl-28259150

RESUMO

BACKGROUND: Increasing institutional births rates and improving access to comprehensive emergency obstetric care are central strategies for reducing maternal and neonatal deaths globally. While some studies show women consider service availability when determining where to deliver, the dynamics of how and why institutional birth rates change as comprehensive emergency obstetric care availability increases are unclear. METHODS: In this pre-post intervention study, we surveyed two exhaustive samples of postpartum women before and after comprehensive emergency obstetric care implementation at a hospital in rural Nepal. We developed a logistic regression model of institutional birth factors through manual backward selection of all significant covariates within and across periods. Qualitatively, we analyzed birth stories through immersion crystallization. RESULTS: Institutional birth rates increased after comprehensive emergency obstetric care implementation (from 30 to 77%, OR 7.7) at both hospital (OR 2.5) and low-level facilities (OR 4.6, p < 0.01 for all). The logistic regression indicated that comprehensive emergency obstetric care availability (OR 5.6), belief that the hospital is the safest birth location (OR 44.8), safety prioritization in decision-making (OR 7.7), and higher income (OR 1.1) predict institutional birth (p ≤ 0.01 for all). Qualitative analysis revealed comprehensive emergency obstetric care awareness, increased social expectation for institutional birth, and birth planning as important factors. CONCLUSION: Comprehensive emergency obstetric care expansion appears to have generated significant demand for institutional births through increased safety perceptions and birth planning. Increasing comprehensive emergency obstetric care availability increases birth safety, but it may also be a mechanism for increasing the institutional birth rate in areas of under-utilization.


Assuntos
Coeficiente de Natalidade , Serviços Médicos de Emergência/estatística & dados numéricos , Acessibilidade aos Serviços de Saúde/estatística & dados numéricos , Serviços de Saúde Materna/estatística & dados numéricos , Aceitação pelo Paciente de Cuidados de Saúde/estatística & dados numéricos , Adulto , Serviços Médicos de Emergência/métodos , Feminino , Instalações de Saúde/estatística & dados numéricos , Humanos , Modelos Logísticos , Nepal , Gravidez , Pesquisa Qualitativa , Serviços de Saúde Rural/estatística & dados numéricos , População Rural/estatística & dados numéricos , Fatores Socioeconômicos
2.
BMC Pregnancy Childbirth ; 16: 252, 2016 08 27.
Artigo em Inglês | MEDLINE | ID: mdl-27567893

RESUMO

BACKGROUND: Encouraging institutional birth is an important component of reducing maternal mortality in low-resource settings. This study aims to identify and understand the determinants of persistently low institutional birth in rural Nepal, with the goal of informing future interventions to reduce high rates of maternal mortality. METHODS: Postpartum women giving birth in the catchment area population of a district-level hospital in the Far-Western Development Region of Nepal were invited to complete a cross-sectional survey in 2012 about their recent birth experience. Quantitative and qualitative methods were used to determine the institutional birth rate, social and demographic predictors of institutional birth, and barriers to institutional birth. RESULTS: The institutional birth rate for the hospital's catchment area population was calculated to be 0.30 (54 home births, 23 facility births). Institutional birth was more likely as age decreased (ORs in the range of 0.20-0.28) and as income increased (ORs in the range of 1.38-1.45). Institutional birth among women who owned land was less likely (OR = 0.82 [0.71, 0.92]). Ninety percent of participants in the institutional birth group identified safety and good care as the most important factors determining location of birth, whereas 60 % of participants in the home birth group reported distance from hospital as a key determinant of location of birth. Qualitative analysis elucidated the importance of social support, financial resources, birth planning, awareness of services, perception of safety, and referral capacity in achieving an institutional birth. CONCLUSION: Age, income, and land ownership, but not patient preference, were key predictors of institutional birth. Most women believed that birth at the hospital was safer regardless of where they gave birth. Future interventions to increase rates of institutional birth should address structural barriers including differences in socioeconomic status, social support, transportation resources, and birth preparedness.


Assuntos
Parto Obstétrico/estatística & dados numéricos , Instalações de Saúde/estatística & dados numéricos , Parto Domiciliar/estatística & dados numéricos , Serviços de Saúde Materna/estatística & dados numéricos , Aceitação pelo Paciente de Cuidados de Saúde/estatística & dados numéricos , Adulto , Fatores Etários , Área Programática de Saúde/estatística & dados numéricos , Estudos Transversais , Parto Obstétrico/métodos , Feminino , Acessibilidade aos Serviços de Saúde/estatística & dados numéricos , Humanos , Nepal , Gravidez , População Rural/estatística & dados numéricos , Fatores Socioeconômicos , Adulto Jovem
3.
PLoS One ; 11(4): e0152738, 2016.
Artigo em Inglês | MEDLINE | ID: mdl-27111734

RESUMO

BACKGROUND: Surveillance systems are increasingly relying upon community-based or crowd-sourced data to complement traditional facilities-based data sources. Data collected by community health workers during the routine course of care could combine the early warning power of community-based data collection with the predictability and diagnostic regularity of facility data. These data could inform public health responses to epidemics and spatially-clustered endemic diseases. Here, we analyze data collected on a daily basis by community health workers during the routine course of clinical care in rural Nepal. We evaluate if such community-based surveillance systems can capture temporal trends in diarrheal diseases and acute respiratory infections. METHODS: During the course of their clinical activities from January to December 2013, community health workers recorded healthcare encounters using mobile phones. In parallel, we accessed condition-specific admissions from 2011-2013 in the hospital from which the community health program was based. We compared diarrhea and acute respiratory infection rates from both the hospital and the community, and assigned three categories of local disease activity (low, medium, and high) to each week in each village cluster with categories determined by tertiles. We compared condition-specific mean hospital rates across categories using ANOVA to assess concordance between hospital and community-collected data. RESULTS: There were 2,710 cases of diarrhea and 373 cases of acute respiratory infection reported by community health workers during the one-year study period. At the hospital, the average weekly incidence of diarrhea and acute respiratory infections over the three-year period was 1.8 and 3.9 cases respectively per 1,000 people in each village cluster. In the community, the average weekly rate of diarrhea and acute respiratory infections was 2.7 and 0.5 cases respectively per 1,000 people. Both diarrhea and acute respiratory infections exhibited significant differences between the three categories of disease rate burden (diarrhea p = 0.009, acute respiratory infection p = 0.001) when comparing community health worker-collected rates to hospital rates. CONCLUSION: Community-level data on diarrhea and acute respiratory infections modestly correlated with hospital data for the same condition in each village each week. Our experience suggests that community health worker-collected data on mobile phones may be a feasible adjunct to other community- and healthcare-related data sources for surveillance of such conditions. Such systems are vitally needed in resource-limited settings like rural Nepal.


Assuntos
Telefone Celular , Agentes Comunitários de Saúde , Diarreia/epidemiologia , Infecções Respiratórias/epidemiologia , População Rural , Diarreia/prevenção & controle , Humanos , Nepal/epidemiologia , Infecções Respiratórias/prevenção & controle
4.
Healthc (Amst) ; 3(4): 251-7, 2015 Dec.
Artigo em Inglês | MEDLINE | ID: mdl-26699353

RESUMO

Patient navigation programs have shown to be effective across multiple settings in guiding patients through the care delivery process. Limited experience and literature exist, however, for such programs in rural and resource-constrained environments. Patients living in such settings frequently have low health literacy and substantially lower social status than their providers. They typically have limited experiences interfacing with formalized healthcare systems, and, when they do, their experience can be unpleasant and confusing. At a district hospital in rural far-western Nepal, we designed and implemented a patient navigation system that aimed to improve patients' subjective care experience. First, we hired and trained a team of patient navigators who we recruited from the local area. Their responsibility is exclusively to demonstrate compassion and to guide patients through their care process. Second, we designed visual cues throughout our hospital complex to assist in navigating patients through the buildings. Third, we incorporated the patient navigators within the management and communications systems of the hospital care team, and established standard operating procedures. We describe here our experiences and challenges in designing and implementing a patient navigator program. Such patient-centered systems may be relevant at other facilities in Nepal and globally where patient health literacy is low, patients come from backgrounds of substantial marginalization and disempowerment, and patient experience with healthcare facilities is limited.


Assuntos
Navegação de Pacientes , Atenção à Saúde , Recursos em Saúde , Acessibilidade aos Serviços de Saúde , Humanos , Nepal , Serviços de Saúde Rural , População Rural
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