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  1. Article ; Online: Gender and socio-economic stratification of ultra-processed and deep-fried food consumption among rural adolescents

    Mohammad Redwanul Islam / Syed Moshfiqur Rahman / Md Monjur Rahman / Jesmin Pervin / Anisur Rahman / Eva-Charlotte Ekström

    PLoS ONE, Vol 17, Iss 7, p e

    A cross-sectional study from Bangladesh.

    2022  Volume 0272275

    Abstract: Background Although consumption of ultra-processed and deep-fried foods among adolescents is a global health concern, little is known about its gender and socio-economic stratification in rural settings of low- and middle-income countries. We, thus, ... ...

    Abstract Background Although consumption of ultra-processed and deep-fried foods among adolescents is a global health concern, little is known about its gender and socio-economic stratification in rural settings of low- and middle-income countries. We, thus, aimed to describe ultra-processed and deep-fried food consumption among rural adolescents by gender and socio-economic factors, and to explore their relative importance in shaping consumption. Methods This cross-sectional study drew on data from a household survey in Matlab, a rural sub-district in Bangladesh. The analytic sample comprised 2463 adolescents. We assessed consumption of four ultra-processed food groups: ready-to-eat or "instant" foods; confectionery, sweets and similar packaged products; savory snacks; sugar-sweetened beverage; and of deep-fried foods with a 24-hour, qualitative recall. Asset scores were constructed. Proportion of consumption was calculated and compared by gender and household wealth. Logistic regression models were fitted to isolate socio-demographic variables associated with consumption. Results Approximately 83% (81.5-84.4) adolescents consumed at least one ultra-processed or deep-fried item. Confectioneries were the most consumed (53.5%), whereas sugar-sweetened beverage was the least consumed (12%) group. Boys had greater odds of consumption than girls for all food groups. The association was strongest for sugar-sweetened beverage (adjusted odds ratio = 2.57; 95% CI: 1.97, 3.37), followed by deep-fried foods (adjusted odds ratio = 1.96; 95% CI: 1.66, 2.32) and ready-to-eat foods (adjusted odds ratio = 1.85; 95% CI: 1.45, 2.38). Belonging to the richest households was associated with ready-to-eat food consumption (adjusted odds ratio = 1.55; 95% CI: 1.12, 2.16). Adolescents with higher educational attainment had lower odds of consuming sugar-sweetened beverage (adjusted odds ratio = 0.73; 95% CI: 0.54, 0.98). Conclusion Consumption of packaged confectioneries, savory snacks, and deep-fried foods appeared common, while SSB ...
    Keywords Medicine ; R ; Science ; Q
    Subject code 310
    Language English
    Publishing date 2022-01-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article ; Online: Determinants of care-seeking practice for neonatal illnesses in rural Bangladesh

    U Tin Nu / Jesmin Pervin / A M Q Rahman / Monjur Rahman / Anisur Rahman

    PLoS ONE, Vol 15, Iss 10, p e

    A community-based cross-sectional study.

    2020  Volume 0240316

    Abstract: Background Proper utilization of skilled care services in neonatal illnesses is crucial to reduce neonatal morbidity and mortality. The study aimed to evaluate the level and factors associated with seeking care from skilled healthcare service providers ... ...

    Abstract Background Proper utilization of skilled care services in neonatal illnesses is crucial to reduce neonatal morbidity and mortality. The study aimed to evaluate the level and factors associated with seeking care from skilled healthcare service providers for reported neonatal illnesses in rural Matlab, Bangladesh. Methods This community based cross-sectional study was based on data from a randomly selected sample comprised of 2223 women who delivered live-born babies in 2014. Data were collected from June to October 2015 through a structured questionnaire. We used a multivariable logistic regression model and presented the results by adjusted odds ratios (AOR) with 95% confidence intervals (CI). Results Of the neonates, 1361 (61.2%) suffered from at least one complication, and among these, 479 (35.2%) sought care from skilled healthcare service providers. In the multivariable logistic regression analysis, the participants' husbands' educational level, number of antenatal care visits, and place of childbirth were significantly associated with seeking skilled care for reported neonatal illnesses. The care-seeking from skilled healthcare service providers for neonatal illness was more than two times higher (AOR = 2.26, 95% CI = 1.51-3.39) in the group in which the participants' husband had attended school for more than 10 years as compared to the group in which they had attended school for less than six years. The AORs of seeking skilled care were 1.93 (95% CI = 1.42-2.62) and 2.26 (95% CI = 1.51-3.39) with the mothers receiving two to three and four or more antenatal care services, respectively, compared to the mothers with no or one antenatal care visit. Women who gave birth at a health facility were three times (AOR = 3.24, 95% CI = 2.50-4.19) more likely to seek skilled care for sick neonates compared to those who gave birth at home. Conclusion The utilization of skilled care for neonatal sicknesses was low in this rural setting in Bangladesh. The participants' husbands' higher school attendance, increased number ...
    Keywords Medicine ; R ; Science ; Q
    Subject code 360
    Language English
    Publishing date 2020-01-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: A cohort study of the association between prenatal arsenic exposure and age at menarche in a rural area, Bangladesh

    Anisur Rahman / Maria Kippler / Jesmin Pervin / Chandan Tarafder / Ishrat Javeen Lucy / Pernilla Svefors / Shams El Arifeen / Lars Åke Persson

    Environment International, Vol 154, Iss , Pp 106562- (2021)

    2021  

    Abstract: Background: Millions of individuals worldwide, particularly in Bangladesh, are exposed to arsenic, mainly through drinking water from tube wells. Arsenic is a reproductive toxicant, but there is limited knowledge of whether it influences pubertal ... ...

    Abstract Background: Millions of individuals worldwide, particularly in Bangladesh, are exposed to arsenic, mainly through drinking water from tube wells. Arsenic is a reproductive toxicant, but there is limited knowledge of whether it influences pubertal development. Objectives: We evaluated the association between prenatal arsenic exposure and age at menarche. Methods: This prospective study was based on data from two studies conducted in Matlab, Bangladesh—the Maternal and Infant Nutrition Interventions in Matlab (MINIMat) trial and the Health Consequences of Arsenic in Matlab (AsMat) study. We included 809 MINIMat girls who participated in assessing age at menarche from July 2016 to June 2017 and had prenatal arsenic exposure data through the AsMat study via measurements in tube well water used by the mothers during pregnancy. The exposure was categorized into <10, 10–49, 50–99, 100–199, and ≥200 µg/L. We used Kaplan-Meier and Cox proportional hazards analyses with adjustment for potential confounders to evaluate the association between arsenic exposure and age at menarche. The results were presented by adjusted hazards ratio (aHR) with a 95% confidence interval (CI). Results: The median arsenic concentration in tube well water consumed by pregnant women was 80 µg/L (interquartile range 2–262 µg/L), and 55% drank water with concentrations above Bangladesh’s acceptable value of 50 µg/L. The median age at menarche was 13.0 years. The unadjusted analysis revealed 3.2 months delay in menarche for girls exposed to arsenic concentrations ≥200 µg/L compared with the girl exposed to arsenic concentrations <10 µg/L. Girls exposed to the same higher arsenic concentrations were 23% (aHR 0.77, 95% CI: 0.63–0.95) less likely to have reached menarche than girls exposed to low arsenic concentrations. Conclusions: Increased levels of prenatal arsenic exposure were associated with older age at menarche. This delay may indicate endocrine disruptions that could potentially result in adverse health consequences in later life. This finding, along with other severe adverse health reinforces the need for arsenic mitigation at the population level.
    Keywords Age at menarche ; Arsenic ; Bangladesh ; Cohort study ; Prenatal exposure ; Drinking water ; Environmental sciences ; GE1-350
    Subject code 333
    Language English
    Publishing date 2021-09-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: Developing targeted client communication messages to pregnant women in Bangladesh

    Jesmin Pervin / Bidhan Krishna Sarker / U. Tin Nu / Fatema Khatun / A. M. Quaiyum Rahman / Mahima Venkateswaran / Anisur Rahman / J. Frederik Frøen / Ingrid K. Friberg

    BMC Public Health, Vol 21, Iss 1, Pp 1-

    a qualitative study

    2021  Volume 13

    Abstract: Abstract Background Timely and appropriate evidence-based practices during antenatal care improve maternal and neonatal health. There is a lack of information on how pregnant women and families perceive antenatal care in Bangladesh. The aim of our study ... ...

    Abstract Abstract Background Timely and appropriate evidence-based practices during antenatal care improve maternal and neonatal health. There is a lack of information on how pregnant women and families perceive antenatal care in Bangladesh. The aim of our study was to develop targeted client communication via text messages for increasing antenatal care utilization, as part of an implementation of an electronic registry for maternal and child health. Methods Using a phenomenological approach, we conducted this qualitative study from May to June 2017 in two sub-districts of Chandpur district, Bangladesh. We selected study participants by purposive sampling. A total of 24 in-depth interviews were conducted with pregnant women (n = 10), lactating women (n = 5), husbands (n = 5), and mothers-in-law (n = 4). The Health Belief Model (HBM) was used to guide the data collection. Thematic analysis was carried out manually according to the HBM constructs. We used behavior change techniques to inform the development of targeted client communication based on the thematic results. Results Almost no respondents mentioned antenatal care as a preventive form of care, and only perceived it as necessary if any complications developed during pregnancy. Knowledge of the content of antenatal care (ANC) and pregnancy complications was low. Women reported a variety of reasons for not attending ANC, including the lack of information on the timing of ANC; lack of decision-making power; long-distance to access care; being busy with household chores, and not being satisfied with the treatment by health care providers. Study participants recommended phone calls as their preferred communication strategy when asked to choose between the phone call and text message, but saw text messages as a feasible option. Based on the findings, we developed a library of 43 automatically customizable text messages to increase ANC utilization. Conclusions Pregnant women and family members had limited knowledge about antenatal care and pregnancy complications. Effective health information through text messages could increase awareness of antenatal care among the pregnant women in Bangladesh. This study presents an example of designing targeted client communication to increase antenatal care utilization within formal scientific frameworks, including a taxonomy of behavior change techniques. Trial registration ISRCTN69491836 . Registered on December 06, 2018. Retrospectively registered.
    Keywords Targeted client communication ; Antenatal care ; Behaviour change technique ; Bangladesh ; Public aspects of medicine ; RA1-1270
    Subject code 360
    Language English
    Publishing date 2021-04-01T00:00:00Z
    Publisher BMC
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: Congo red test for identification of preeclampsia

    Hillary Bracken / Irina A. Buhimschi / Anisur Rahman / Patricio R. Sanhueza Smith / Jesmin Pervin / Salma Rouf / Manuel Bousieguez / Lourdes García López / Catalin S. Buhimschi / Thomas Easterling / Beverly Winikoff

    EClinicalMedicine, Vol 31, Iss , Pp 100678- (2021)

    Results of a prospective diagnostic case-control study in Bangladesh and Mexico

    2021  

    Abstract: Background: Misfolded proteins in the urine of women with preeclampsia bind to Congo Red dye (urine congophilia). We evaluated a beta prototype of a point-of-care test for the identification of urine congophilia in preeclamptic women. Methods: ... ...

    Abstract Background: Misfolded proteins in the urine of women with preeclampsia bind to Congo Red dye (urine congophilia). We evaluated a beta prototype of a point-of-care test for the identification of urine congophilia in preeclamptic women. Methods: Prospective diagnostic case-control study conducted in 409 pregnant women (n = 204 preeclampsia; n = 205 uncomplicated pregnancies) presenting for delivery in two tertiary level hospitals located in Bangladesh and Mexico. The GV-005, a beta prototype of a point-of-care test for detecting congophilia, was performed on fresh and refrigerated urine samples. The primary outcome was the prevalence of urine congophilia in each of the two groups. Secondary outcome was the likelihood of the GV-005 (index test) to confirm and rule-out preeclampsia based on an adjudicated diagnosis (reference standard). Findings: The GV-005 was positive in 85% of clinical cases (83/98) and negative in 81% of clinical controls (79/98) in the Bangladesh cohort. In the Mexico cohort, the GV-005 test was positive in 48% of clinical cases (51/106) and negative in 77% of clinical controls (82/107). Adjudication confirmed preeclampsia in 92% of Bangladesh clinical cases (90/98) and 61% of Mexico clinical cases (65/106). The odds ratio of a urine congophilia in adjudicated cases versus controls in the Bangladesh cohort was 34.5 (14.7 – 81.1) (p<0.001) compared to 4.2 (2.1 – 8.4; p<0.001) in the Mexico cohort. Interpretation: The GV-005, a beta prototype of a point-of-care test for detection of urine congophilia, is a promising tool for rapid identification of preeclampsia. Funding: Saving Lives at Birth.
    Keywords Medicine (General) ; R5-920
    Subject code 610
    Language English
    Publishing date 2021-01-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article ; Online: Determinants of utilization of antenatal and delivery care at the community level in rural Bangladesh.

    Jesmin Pervin / Mahima Venkateswaran / U Tin Nu / Monjur Rahman / Brian F O'Donnell / Ingrid K Friberg / Anisur Rahman / J Frederik Frøen

    PLoS ONE, Vol 16, Iss 9, p e

    2021  Volume 0257782

    Abstract: Background Timely utilization of antenatal care and delivery services supports the health of mothers and babies. Few studies exist on the utilization and determinants of timely ANC and use of different types of health facilities at the community level in ...

    Abstract Background Timely utilization of antenatal care and delivery services supports the health of mothers and babies. Few studies exist on the utilization and determinants of timely ANC and use of different types of health facilities at the community level in Bangladesh. This study aims to assess the utilization, timeliness of, and socio-demographic determinants of antenatal and delivery care services in two sub-districts in Bangladesh. Methods This cross-sectional study used data collected through a structured questionnaire in the eRegMat cluster-randomized controlled trial, which enrolled pregnant women between October 2018-June 2020. We undertook univariate and multivariate logistic regression analysis to determine the associations of socio-demographic variables with timely first ANC, four timely ANC visits, and facility delivery. We considered the associations in the multivariate logistic regression as statistically significant if the p-value was found to be <0.05. Results are presented as adjusted odds ratios (AOR) with 95% confidence intervals (CI). Results Data were available on 3293 pregnant women. Attendance at a timely first antenatal care visit was 59%. Uptake of four timely antenatal care visits was 4.2%. About three-fourths of the women delivered in a health facility. Women from all socio-economic groups gradually shifted from using public health facilities to private hospitals as the pregnancy advanced. Timely first antenatal care visit was associated with: women over 30 years of age (AOR: 1.52, 95% CI: 1.05-2.19); nulliparity (AOR: 1.30, 95% CI: 1.04-1.62); husbands with >10 years of education (AOR: 1.40, 95% CI: 1.09-1.81) and being in the highest wealth quintile (AOR: 1.49, 95% CI: 1.18-1.89). Facility deliveries were associated with woman's age; parity; education; the husband's education, and wealth index. None of the available socio-demographic factors were associated with four timely antenatal care visits. Conclusions The study observed socio-demographic inequalities associated with ...
    Keywords Medicine ; R ; Science ; Q
    Subject code 360
    Language English
    Publishing date 2021-01-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: Development and external validation of machine learning algorithms for postnatal gestational age estimation using clinical data and metabolomic markers

    Steven Hawken / Robin Ducharme / Malia S. Q. Murphy / Brieanne Olibris / A. Brianne Bota / Lindsay A. Wilson / Wei Cheng / Julian Little / Beth K. Potter / Kathryn M. Denize / Monica Lamoureux / Matthew Henderson / Katelyn J. Rittenhouse / Joan T. Price / Humphrey Mwape / Bellington Vwalika / Patrick Musonda / Jesmin Pervin / A. K. Azad Chowdhury /
    Anisur Rahman / Pranesh Chakraborty / Jeffrey S. A. Stringer / Kumanan Wilson

    PLoS ONE, Vol 18, Iss

    2023  Volume 3

    Abstract: Background Accurate estimates of gestational age (GA) at birth are important for preterm birth surveillance but can be challenging to obtain in low income countries. Our objective was to develop machine learning models to accurately estimate GA shortly ... ...

    Abstract Background Accurate estimates of gestational age (GA) at birth are important for preterm birth surveillance but can be challenging to obtain in low income countries. Our objective was to develop machine learning models to accurately estimate GA shortly after birth using clinical and metabolomic data. Methods We derived three GA estimation models using ELASTIC NET multivariable linear regression using metabolomic markers from heel-prick blood samples and clinical data from a retrospective cohort of newborns from Ontario, Canada. We conducted internal model validation in an independent cohort of Ontario newborns, and external validation in heel prick and cord blood sample data collected from newborns from prospective birth cohorts in Lusaka, Zambia and Matlab, Bangladesh. Model performance was measured by comparing model-derived estimates of GA to reference estimates from early pregnancy ultrasound. Results Samples were collected from 311 newborns from Zambia and 1176 from Bangladesh. The best-performing model accurately estimated GA within about 6 days of ultrasound estimates in both cohorts when applied to heel prick data (MAE 0.79 weeks (95% CI 0.69, 0.90) for Zambia; 0.81 weeks (0.75, 0.86) for Bangladesh), and within about 7 days when applied to cord blood data (1.02 weeks (0.90, 1.15) for Zambia; 0.95 weeks (0.90, 0.99) for Bangladesh). Conclusions Algorithms developed in Canada provided accurate estimates of GA when applied to external cohorts from Zambia and Bangladesh. Model performance was superior in heel prick data as compared to cord blood data.
    Keywords Medicine ; R ; Science ; Q
    Subject code 310
    Language English
    Publishing date 2023-01-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article ; Online: Development and external validation of machine learning algorithms for postnatal gestational age estimation using clinical data and metabolomic markers.

    Steven Hawken / Robin Ducharme / Malia S Q Murphy / Brieanne Olibris / A Brianne Bota / Lindsay A Wilson / Wei Cheng / Julian Little / Beth K Potter / Kathryn M Denize / Monica Lamoureux / Matthew Henderson / Katelyn J Rittenhouse / Joan T Price / Humphrey Mwape / Bellington Vwalika / Patrick Musonda / Jesmin Pervin / A K Azad Chowdhury /
    Anisur Rahman / Pranesh Chakraborty / Jeffrey S A Stringer / Kumanan Wilson

    PLoS ONE, Vol 18, Iss 3, p e

    2023  Volume 0281074

    Abstract: Background Accurate estimates of gestational age (GA) at birth are important for preterm birth surveillance but can be challenging to obtain in low income countries. Our objective was to develop machine learning models to accurately estimate GA shortly ... ...

    Abstract Background Accurate estimates of gestational age (GA) at birth are important for preterm birth surveillance but can be challenging to obtain in low income countries. Our objective was to develop machine learning models to accurately estimate GA shortly after birth using clinical and metabolomic data. Methods We derived three GA estimation models using ELASTIC NET multivariable linear regression using metabolomic markers from heel-prick blood samples and clinical data from a retrospective cohort of newborns from Ontario, Canada. We conducted internal model validation in an independent cohort of Ontario newborns, and external validation in heel prick and cord blood sample data collected from newborns from prospective birth cohorts in Lusaka, Zambia and Matlab, Bangladesh. Model performance was measured by comparing model-derived estimates of GA to reference estimates from early pregnancy ultrasound. Results Samples were collected from 311 newborns from Zambia and 1176 from Bangladesh. The best-performing model accurately estimated GA within about 6 days of ultrasound estimates in both cohorts when applied to heel prick data (MAE 0.79 weeks (95% CI 0.69, 0.90) for Zambia; 0.81 weeks (0.75, 0.86) for Bangladesh), and within about 7 days when applied to cord blood data (1.02 weeks (0.90, 1.15) for Zambia; 0.95 weeks (0.90, 0.99) for Bangladesh). Conclusions Algorithms developed in Canada provided accurate estimates of GA when applied to external cohorts from Zambia and Bangladesh. Model performance was superior in heel prick data as compared to cord blood data.
    Keywords Medicine ; R ; Science ; Q
    Subject code 310
    Language English
    Publishing date 2023-01-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article ; Online: Incidental screen positive findings in a prospective cohort study in Matlab, Bangladesh

    Malia S. Q. Murphy / Pranesh Chakraborty / Jesmin Pervin / Anisur Rahman / Lindsay A. Wilson / Monica Lamoureux / Kathryn Denize / Matthew Henderson / Steve Hawken / Beth K. Potter / Julian Little / Kumanan Wilson

    Orphanet Journal of Rare Diseases, Vol 14, Iss 1, Pp 1-

    insights into expanded newborn screening for low-resource settings

    2019  Volume 8

    Abstract: Abstract Background Newborn screening programs are essential preventative public health initiatives but are not widely available in low-resource settings. The objective of this study was to describe the frequency and nature of screen positive ... ...

    Abstract Abstract Background Newborn screening programs are essential preventative public health initiatives but are not widely available in low-resource settings. The objective of this study was to describe the frequency and nature of screen positive determinations as made by a Canadian newborn screening program in a cohort of infants born in Matlab, Bangladesh. Dried newborn cord and heel-prick blood spot samples collected as part of a validation study nested within a preterm birth research cohort were collected between January 2017 and July 2018 and analyzed in a Canadian newborn screening laboratory where the laboratory’s disease panel and screening thresholds were applied. Results A total of 1661 newborn samples (520 heel-prick and 1141 cord blood samples) were available for analysis. Based on the applied screening thresholds, 61 samples (22 by heel-prick and 39 by cord blood) were screen positive for conditions included in the Canadian disease panel. Congenital hypothyroidism was the most common determination for heel-prick (n = 17) and cord blood (n = 12) samples. Carriers of hemoglobinopathy variants were identified in 6.9% of both tested heel-prick and cord blood samples. Conclusions This study provides insight into the nature and frequency of treatable congenital conditions in a rural Bangladesh community where such data were previously unavailable. As comment to the feasibility of newborn screening in the region we confirm that screening based on cord blood sampling continues to be the most acceptable modality to parents in such settings. Acknowledged barriers include early infant discharge, which may affect the reliability of initial screening thresholds to determine disease risk. We further highlight the importance of continuing efforts in the country to identify infants with congenital hypothyroidism.
    Keywords Newborn screening ; Congenital hypothyroidism ; Hemoglobin disorders ; Congenital disorders ; Medicine ; R
    Subject code 610
    Language English
    Publishing date 2019-01-01T00:00:00Z
    Publisher BMC
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article ; Online: Level and determinants of birth preparedness and complication readiness among pregnant women

    Jesmin Pervin / U Tin Nu / A M Q Rahman / Mahabubur Rahman / Borhan Uddin / Abdur Razzaque / Sandy Johnson / Randall Kuhn / Anisur Rahman

    PLoS ONE, Vol 13, Iss 12, p e

    A cross sectional study in a rural area in Bangladesh.

    2018  Volume 0209076

    Abstract: BACKGROUND:Increasing the level of birth preparedness and complication readiness (BP/CR) is one of the key interventions to promote optimal utilization of skilled maternal health services. It is therefore essential to determine the women's ability to ... ...

    Abstract BACKGROUND:Increasing the level of birth preparedness and complication readiness (BP/CR) is one of the key interventions to promote optimal utilization of skilled maternal health services. It is therefore essential to determine the women's ability to recognize the danger signs and the level of BP/CR. This information can be used to design more effective health interventions. OBJECTIVES:This study was conducted to determine the knowledge in recognition of maternal complications, and the level and factors associated with BP/CR in rural Matlab, Bangladesh. METHODS:A community-based cross-sectional survey was conducted from June- October 2015 on a randomly selected 2262 women who delivered live or stillbirth during the year 2014. A pretested and structured questionnaire was used for data collection. Descriptive and analytical statistical methods were used. RESULTS:The proportion of study participants with "good knowledge", measured by the ability to recognise three or more danger signs, in pregnancy and delivery were 26% and 23%, respectively. Out of four BP/CR components, about 15% women saved money, 12% women identified facility for delivery, 9.6% women planned to deliver by skilled birth attendant and 5.3% of women arranged transport. About 12% of women were "well prepared", measured by planning of at least two components, for skilled childbirth and emergency obstetric complications. In the multivariable logistic regression analysis, asset index, antenatal care (ANC) visits and knowledge of danger signs during pregnancy and delivery were associated with BP/CR. The adjusted odds ratio (OR) of "well prepared" was 4.09 (95% confidence interval [CI]: 2.45-6.82) among women with an asset index of five (richest), compared with women in the asset index of one (poorest). The odds of "well prepared" was six times (OR 5.98, 95% CI: 3.85-9.28) higher for women with four or more ANC visits, compared to women with none or one ANC visit. In comparison to women with "poor knowledge" on maternal danger signs during pregnancy and ...
    Keywords Medicine ; R ; Science ; Q
    Subject code 300
    Language English
    Publishing date 2018-01-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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