Dataset Information

Spleen rates and infant parasite rates as surveillance tool for malaria control in remote hard to reach areas of central India.

ABSTRACT:

Background

Malaria due to both Plasmodium falciparum and Plasmodium vivax is a major public health problem in India. The quantification of malaria transmission for the classification of malaria risk has long been a concern for epidemiologists. Results are presented from 30 cross-sectional surveys which measured spleen rates (SR) and infant parasite rates (IPR) in the forested districts of Madhya Pradesh during malaria outbreaks to assess whether both IPR and SR can still be used as indicators of malaria endemicity as spleen examination has lost much of its value as an epidemiological indicator in areas where anti-malarials drugs are widely used.

Methods

Rapid fever surveys were carried out from door to door and all suspected malaria cases in the entire population of a village were screened for malaria parasites on the basis of clinical symptoms such as fever, chill, rigor, headache and body ache etc. Children between 2 and 9 years were examined for enlarged spleen according to Hacketts method. Finger prick blood smears were collected from all children with enlarged spleen with or without fever after obtaining written informed consent following institutional ethical guidelines. Infants less than 1 year were also screened for malaria with or without fever.

Results

Since malaria is local and focal, in some areas the outbreak waned quickly in few months and in some areas continued for 3 to 4 years. The analysis of trend revealed that when IPR decline over the years as a result of malaria intervention measures, SR also decline. In case splenomegaly continues without diminution in size, it is probably due to recrudescence or relapse, although it is not possible to separate malaria parasite species on the basis of SR.

Conclusion

Both the tools are of immense value in evaluating and assessing the malaria situation especially in remote areas where sophisticated molecular and serological techniques are difficult to establish. Therefore, in forested areas malaria surveillance system will require adoption of multiple approaches that have proven effective now or in the past.

SUBMITTER: Shukla M

PROVIDER: S-EPMC3258211 | biostudies-literature | 2011 Dec

REPOSITORIES: biostudies-literature

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Publications

Spleen rates and infant parasite rates as surveillance tool for malaria control in remote hard to reach areas of central India.

Shukla Manmohan M Singh Neeru N Singh Mrigendra P MP

Malaria journal 20111221

<h4>Background</h4>Malaria due to both Plasmodium falciparum and Plasmodium vivax is a major public health problem in India. The quantification of malaria transmission for the classification of malaria risk has long been a concern for epidemiologists. Results are presented from 30 cross-sectional surveys which measured spleen rates (SR) and infant parasite rates (IPR) in the forested districts of Madhya Pradesh during malaria outbreaks to assess whether both IPR and SR can still be used as indic ...[more]

PMID: 22185197

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Project description:BackgroundBirth preparedness and complication readiness aims to reduce delays in care seeking, promote skilled birth attendance, and facility deliveries. Little is known about birth preparedness practices among populations living in hard-to-reach areas in Bangladesh.ObjectivesTo describe levels of birth preparedness and complication readiness among recently delivered women, identify determinants of being better prepared for birth, and assess the impact of greater birth preparedness on maternal and neonatal health practices.MethodsA cross-sectional survey with 2,897 recently delivered women was undertaken in 2012 as part of an evaluation trial done in five hard-to-reach districts in rural Bangladesh. Mothers were considered well prepared for birth if they adopted two or more of the four birth preparedness components. Descriptive statistics and multivariable logistic regression were used for analysis.ResultsLess than a quarter (24.5%) of women were considered well prepared for birth. Predictors of being well-prepared included: husband's education (OR = 1.3; CI: 1.1-1.7), district of residence, exposure to media in the form of reading a newspaper (OR = 2.2; CI: 1.2-3.9), receiving home visit by a health worker during pregnancy (OR = 1.5; CI: 1.2-1.8), and receiving at least 3 antenatal care visits from a qualified provider (OR = 1.4; CI: 1.0-1.9). Well-prepared women were more likely to deliver at a health facility (OR = 2.4; CI: 1.9-3.1), use a skilled birth attendant (OR = 2.4, CI: 1.9-3.1), practice clean cord care (OR = 1.3, CI: 1.0-1.5), receive post-natal care from a trained provider within two days of birth for themselves (OR = 2.6, CI: 2.0-3.2) or their newborn (OR = 2.6, CI: 2.1-3.3), and seek care for delivery complications (OR = 1.8, CI: 1.3-2.6).ConclusionGreater emphasis on BPCR interventions tailored for hard to reach areas is needed to improve skilled birth attendance, care seeking for complications and essential newborn care and facilitate reductions in maternal and neonatal mortality in low performing districts in Bangladesh.

Project description:BACKGROUND: Where hard-to-access populations (such as those living in insecure areas) lack access to basic health services, relief agencies, donors, and ministries of health face a dilemma in selecting the most effective intervention strategy. This paper uses a decision mathematical model to estimate the relative effectiveness of two alternative strategies, mobile clinics and fixed community-based health services, for antibiotic treatment of childhood pneumonia, the world's leading cause of child mortality. METHODS: A "Markov cycle tree" cohort model was developed in Excel with Visual Basic to compare the number of deaths from pneumonia in children aged 1 to 59 months expected under three scenarios: 1) No curative services available, 2) Curative services provided by a highly-skilled but intermittent mobile clinic, and 3) Curative services provided by a low-skilled community health post. Parameter values were informed by literature and expert interviews. Probabilistic sensitivity analyses were conducted for several plausible scenarios. RESULTS: We estimated median pneumonia-specific under-5 mortality rates of 0.51 (95% credible interval: 0.49 to 0.541) deaths per 10,000 child-days without treatment, 0.45 (95% CI: 0.43 to 0.48) with weekly mobile clinics, and 0.31 (95% CI: 0.29 to 0.32) with CHWs in fixed health posts. Sensitivity analyses found the fixed strategy superior, except when mobile clinics visited communities daily, where rates of care-seeking were substantially higher at mobile clinics than fixed posts, or where several variables simultaneously differed substantially from our baseline assumptions. CONCLUSIONS: Current evidence does not support the hypothesis that mobile clinics are more effective than CHWs. A CHW strategy therefore warrants consideration in high-mortality, hard-to-access areas. Uncertainty remains, and parameter values may vary across contexts, but the model allows preliminary findings to be updated as new or context-specific evidence becomes available. Decision analytic modelling can guide needed field-based research efforts in hard-to-access areas and offer evidence-based insights for decision-makers.

Project description:BackgroundCaesarean section (C-section) is a major obstetric life-saving intervention for the prevention of pregnancy and childbirth related complications. Globally C-section is increasing, as well as in Bangladesh. This study identifies the prevalence of C-section and socio-economic and health care seeking related determinants of C-section among women living in hard-to-reach (HtR) areas in Bangladesh.MethodsA cross-sectional survey was conducted using a structured questionnaire between August and December 2017 at four distinct types of HtR areas of Bangladesh, namely coastal, hilly, haor (wetland), and char areas (shallow land-mass rising out of a river). Total 2,768 women of 15-49 years of age and who had delivery within one year prior to data collection were interviewed. For the analysis of determinants of C- section, the explanatory variables were maternal age, educational status of women and their husbands, women's religion, employment status and access to mobile phone, wealth index of the household, distance to the nearest health facility from the household, the number of ANC visits and presence of complications during pregnancy and the last childbirth. Logistic regression model was run among 850 women, who had facility delivery. Variables found significantly associated with the outcome (C-section) in bivariate analysis were included in the multivariable logistic model. A p-value <0.05 was considered as statistically significant in the analyses.ResultsOf the 2,768 women included in the study, 13% had C-sections. The mean (±SD) age of respondents was 25.4 (± 0.1) years. The adjusted prevalence of C-section was 13.1 times higher among women who had their delivery in private facilities than women who delivered in public facilities (Adjusted Odds Ratio, AOR: 13.1; 95% CI 8.6-19.9; p-value: <0.001). Women from haor area and coastal area had 4.7 times (AOR: 4.7; 95% CI 2.4-9.4; p value: <0.001) and 6.8 times (AOR: 6.8; 95% CI 3.6-12.8; p value: <0.001) more chance of having C-section, respectively, than women living in char area. Among women who reported complications during the last childbirth, the AOR of C-section was 3.6 times higher than those who did not report any complication (AOR: 3.6; 95% CI 2.4-5.4; p value: <0.001).ConclusionsThe study identifies that the prevalence of C-sections in four HtR areas of Bangladesh in substantially below the national average, although, the prevalence was higher in coastal areas than three other HtR regions. Both public and private health services for C-section should be made available and accessible in remote HtR areas for women with pregnancy complications. Establishment of an accreditation system for regulating private hospitals are needed to ensure rational use of the procedure.

Project description:BackgroundIn rural areas of Ethiopia, 57% of births occur at home without the assistance of skilled birth attendants, geographical inaccessibility being one of the main factors that hinder skilled birth attendance. Establishment of maternity waiting homes (MWH) is part of a strategy to improve access to skilled care by bringing pregnant women physically close to health facilities. This study assessed barriers to MWHs in Arba Minch Zuria District, Southern Ethiopia.MethodsA community-based cross-sectional study was undertaken from February 01 to 28, 2019. Study participants were selected by computer-generated random numbers from a list of women who gave birth from 2017 to 2018 in Arba Minch Health and Demographic Surveillance System site. Data were collected using a pre-tested and interviewer-administered questionnaire. Stata software version-15 was used for data management and analysis, and variables with p-values ≤ 0.2 in bivariate analysis were considered for multivariable logistic regression analysis. Level of statistical significance was declared at a p-value < 0.05. Qualitative data were analyzed manually based on thematic areas.ResultsMWH utilization was found to be 8.4%. Wealth index (lowest wealth quintile aOR 7.3; 95% CI 1.2, 42), decisions made jointly with male partners (husbands) for obstetric emergencies (aOR 3.6; 95% CI 1.0, 12), birth preparedness plan practice (aOR 6.5; 95% CI 2.3, 18.2), complications in previous childbirth (aOR 3; 95% 1.0, 9), history of previous institutional childbirth (aOR 12; 95% CI 3.8, 40), residence in areas within two hours walking distance to the nearest health facility (aOR 3.3; 95% CI: 1.4, 7.7), and ease of access to transport in obstetric emergencies (aOR 8.8; 95% CI: 3.9, 19) were factors that showed significant associations with MWH utilization.ConclusionsA low proportion of women has ever used MWHs in the study area. To increase MWH utilization, promoting birth preparedness practices, incorporating MWH as part of a personalized birth plan, improving access to health institutions for women living far away and upgrading existing MWHs are highly recommended.

Project description:BackgroundA major challenge to TB control globally is low case detection, largely due to routine health facility-based passive case-finding employed by national TB control programs. Active case-finding is a risk-population-based screening approach that has been established to be effective in TB control. This intervention aimed to increase TB case detection in hard-to-reach areas in southern Nigeria.MethodsUsing a descriptive cross-sectional design, we conducted implementation research in 15 hard-to-reach riverine local government areas with historically recognized low TB case notification rates. Individuals with TB symptoms were screened using multiple strategies. Data were collected quarterly over a 4-year period using reporting tools and checklists. Descriptive analysis was done with Microsoft Excel spreadsheet 2019.ResultsA total of 1,089,129 individuals were screened: 16,576 in 2017; 108,102 in 2018; 697,165 in 2019; and 267,286 in 2020. Of those screened, 24,802 (2.3%) were identified as presumptive TB, of which 88.8% were tested and 10% were diagnosed with TB (0.23% of those screened). TB notifications more than doubled, increasing by 183.3% and 137.5% in the initial implementation and scale-up, respectively. On average, 441 individuals needed to be screened to diagnose 1 TB case. The cases, predominantly males (56.1%) and aged 15 years and older (77.4%), comprised 71.9% bacteriologically confirmed drug-sensitive TB, 25.8% clinically diagnosed drug-sensitive TB, and 2.3% drug-resistant cases. Detection sources included community outreach (1,786), health facilities (505), people living with HIV (57), and household contacts of bacteriologically confirmed TB cases (123). Remarkably, 98.1% of diagnosed TB cases commenced treatment.ConclusionsWe found a significant yield in TB case notifications, more than doubling the baseline figures. Given these successful results, we recommend prioritizing resources to support active case-finding strategies in national programs, especially in hard-to-reach areas with high-risk populations, to address TB more comprehensively.

Project description:BackgroundKerala, a southern state in India, is known to be atypical due to its high literacy rate and advanced social development indicators. Facing competition from a dominant private healthcare system, recent government health system reforms have focused on providing free, high-quality universal healthcare in the public sector. We carried out an analysis to ascertain the initial impacts of these measures among 'hard to reach groups' as part of a larger health policy and systems research study, with a focus on public sector health service utilisation.MethodsWe conducted Focus Group Discussions (FGDs) among identified vulnerable groups across four districts of Kerala between March and August of 2022. The FGDs explored community perspectives on the use of public healthcare facilities including enablers and barriers to healthcare access. Transliterated English transcripts were coded using ATLAS.ti software and thematically analyzed using the AAAQ framework, supplemented with inductive code generation.ResultsA total of 34 FGDs were conducted. Availability and cost-effectiveness were major reasons for choosing public healthcare, with the availability of public insurance in inpatient facilities influencing this preference. However, accessibility of public sector facilities posed challenges due to long journeys and queues. Uneven roads and the non-availability of public transport further restricted access. Gaps in acceptability were also observed: participants noted the need for the availability of special treatments available, reduced waiting times for special groups like those from tribal communities or the elderly mindful of their relatively greater travel and need for prompt care. Although quality improvements resulting from health reform measures were acknowledged, participants articulated the need for further enhancements in the availability and accessibility of services so as to make public healthcare systems truly acceptable.ConclusionThe 'Kerala Model of Development' has been applauded internationally for its success in recent years. However, this has not inured the state from the typical barriers to public sector health care use articulated by participants in the study, which match global evidence. In order to deepen the impact of public sector reforms, the state must try to meet service user expectations- especially among those left behind. This requires attention to quality, timeliness, outreach and physical access. Longer term impacts of these reforms - as we move to a post-COVID scenario - should also be evaluated.

Dataset Information

Spleen rates and infant parasite rates as surveillance tool for malaria control in remote hard to reach areas of central India.

Background

Methods

Results

Conclusion

Publications

Spleen rates and infant parasite rates as surveillance tool for malaria control in remote hard to reach areas of central India.

Similar Datasets

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