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Determinants and pattern of care seeking for preterm newborns in a rural Bangladeshi cohort
© Shah et al.; licensee BioMed Central Ltd. 2014
Received: 15 January 2014
Accepted: 15 September 2014
Published: 22 September 2014
Despite the increased burden of preterm birth and its complications, the dearth of care seeking data for preterm newborns remains a significant knowledge gap. Among preterm babies in rural Bangladesh, we examined: 1) determinants and patterns of care seeking, and 2) risk analysis for care-seeking from qualified and unqualified providers.
Trained community health workers collected data prospectively from 27,460 mother-liveborn baby pairs, including 6,090 preterm babies, between June 2007 and September 2009. Statistical analyses included binomial and multinomial logistic regressions.
Only one-fifth (19.7%) of preterm newborns were taken to seek either preventive or curative health care. Among care-seeker preterm newborns, preferred providers included homeopathic practitioners (50.0%), and less than a third (30.9%) sought care from qualified providers. Care-seeking from either unqualified or qualified providers was significantly lower for female preterm babies, compared to male babies [Relative Risk Ratio (RRR) for unqualified care: 0.68; 95% Confidence Interval (CI): 0.58, 0.80; RRR for qualified care: 0.52; 95% CI: 0.41, 0.66]. Among preterm babies, care-seeking was significantly higher among caregivers who recognized symptoms of illness [RR: 2.14; 95% CI: 1.93, 2.38] or signs of local infection (RR: 2.53; 95% CI: 2.23, 2.87), had a history of child death [RR: 1.21; 95% CI: 1.07, 1.37], any antenatal care (ANC) visit [RR: 1.41; 95% CI: 1.25, 1.59]. Birth preparedness (RRR: 1.24; 95% CI: 1.09, 1.68) and any ANC visit (RRR: 1.73; 95% CI: 1.50, 2.49) were also associated with increased likelihood of care seeking for preterm babies from qualified providers.
To improve care seeking practices for preterm babies and referral of sick newborns to qualified providers/facilities, we recommend: 1) involving community-preferred health care providers in community-based health education and awareness raising programs; 2) integrating postnatal care seeking messages into antenatal counselling; and 3) further research on care seeking practices for preterm babies.
Preterm newborns are at substantially higher risk for morbidity and mortality than full-term infants . The burden of preterm birth and its complications have been increasing  and represent a significant issue in combating neonatal health risks and reducing neonatal mortality [3, 4], yet there is a paucity of research on care seeking for preterm newborns . A few studies have reported behavioural aspects related to care-seeking practices [6–10], but often lack quantitative information on health care utilization, especially for preterm newborns. A systematic review on care-seeking for neonatal illness in low and middle income countries  unveiled a wide pattern for neonatal care seeking across study populations. In Bangladesh, studies have demonstrated that the proportion of newborns for whom care was sought from qualified providers (defined as doctors, nurse and paramedics trained to clinically practice western medicine) can vary substantially but generally is low (e.g. from 17% to 34%) [11–13].
Given the variability of socio-demographic and cultural contexts, differentials in perception of vulnerability or risk for newborns, and prevailing customs, traditions and beliefs within communities, it is critically important to understand community-specific patterns and determinants of population-level neonatal care seeking practices, especially for preterm newborns. Such data could help identify gaps and inform program approaches to promote care seeking for preterm babies [5, 14].
We analyzed prospectively collected data from a large community-based cluster-randomized trial (registered at ClinicalTrials.gov # NCT00434408) conducted in Sylhet district of Bangladesh to evaluate the impact of single or multiple (i.e. daily) cleansing of the umbilical cord with 4.0% chlorhexidine solution on overall neonatal mortality and incidence of cord infections. Details of the trial design have been published elsewhere .
Study setting, population and implementation
The study was implemented in 22 unions (the smallest administrative unit with a health center) of Sylhet district in north-eastern Bangladesh during June 2007- September 2009. One female community health worker (CHW) was assigned for implementation of interventions and data collection from study participants in each of 133 geographical working units (“clusters”) within the study area.
Health care was available to the community within the study area through first-level health centers (each serving 20,000 population) and sub-district hospitals (each for ~200,000 population), neither of which were equipped to provide emergency care to newborns, especially preterm babies. Sylhet Medical College Hospital offered such specialized care but its location outside the study area requires approximately 2.5 hours to reach by bus.
Bi-monthly pregnancy surveillance was conducted among all married women of reproductive age by house-to-house visits. Newly identified pregnant women were enrolled in the study, following agreement through an oral informed consent procedure. CHWs delivered a package of maternal and newborn health interventions (Additional file 1) and collected relevant data from all enrolled women at scheduled antenatal home visits (scheduled at ~12-16 and ~32 weeks gestational age). Enrolled women were followed through the end of pregnancy, and CHWs made scheduled visits at home during the postnatal period (days 0, 2, 5, 14, and 27) to assess the newborn using standardized tools.
Assessment of independent variables
At enrollment, data were collected on age, literacy, religion, pregnancy history, and socio-demographic and economic information (educational attainment of women and husbands, household construction materials and assets). CHWs collected information on maternal care-seeking practices during antenatal home visits. They also assessed the family’s birth and newborn care preparedness (BNCP) status, reflected by practice of the following steps: selection of 1) a birth attendant and 2) newborn care personnel; arrangement for 3) clothes for newborn drying/wrapping, and 4) emergency transport, if needed; 5) allocating emergency savings; and 6) possession of a clean delivery kit (CDK). BNCP status was categorized as “fully compliant” (all 6 of the above-mentioned steps were reported as practiced), “partially compliant” (practiced 1–5 steps), or “non-compliant” (0 steps taken).
At the first postnatal home visit, CHWs collected basic data on labor and delivery, date/time of birth, and sex of the baby. At all postnatal visits, additional data on immediate essential newborn care practices (bathing, drying, wrapping, breastfeeding), reported morbidity, and vital status of the child were collected.
Primary exposure variable
LMP date was recorded at the enrollment visit and maternal recall was facilitated by using calendars and memory aids. Some women could not remember/report their LMP date and some women became pregnant during the postpartum amenorrheic period and thus could not provide an LMP date. For those with available LMP estimate, gestational age at birth (in completed weeks) was computed by subtracting the reported date of the first day of the last menstrual period (LMP) from the date of birth.
Assessment of outcome variable
The primary outcome in this study was “care seeking”. Care seeking was defined as any care (either preventive or curative) sought from any health care provider (either qualified or non-qualified) for a newborn. Relevant operational definitions and health care provider categories are listed in Additional file 2.
Our analyses included all reported live births within the study area during the study period who received a CHW’s assessment visit during the first two weeks of life. We excluded women who, at the time of enrollment, could report neither an LMP date nor the duration (in month/day) since her last menstruation, as this estimate was required to define gestational age for each live-born baby.
The broad ‘care seeking’ variable was further categorized as: 1) sought no care, and those who sought care from 2) unqualified providers, or 3) qualified providers. We treated these categories following the above mentioned hierarchical order and the highest category was considered in case of seeking care from multiple categories of health care providers (for example if a baby sought care from unqualified providers on the first attempt and later sought care from a qualified provider, this baby was counted as a care seeker from a qualified provider).
Preterm was identified as birth before 37 completed weeks of gestation, or fewer than 259 days since the first day of the LMP . Adapted from previous studies and existing literature [2, 23, 24], preterm births were sub-categorized as (1) Very preterm (28–31 weeks of gestation), (2) Moderate preterm (32–34 weeks of gestation) and (3) Late preterm (35–36 weeks of gestation). Births at ≥37 weeks were classified as term births. Following International Classification of Disease (10th Revision) , all newborns with any sign of life at birth were recorded as live births.
Wealth index score  was constructed for each household by principal component analysis of basic housing construction materials (e.g. construction materials for the wall, roof, and floor) and household assets. We also estimated the straight line distance between nearest health facility and household by using location coordinates (longitude/latitude) for households and health facilities, collected by using global positioning system.
Percent distributions of term and preterm babies were computed by their care seeking status (from nonqualified and qualified providers or for non-care seekers). Crude associations between potential determinants for seeking care for preterm babies were modeled using binomial regression analysis with generalized linear model, by using log link (or a poisson model in case of convergence failure) [27–29]. To account for clustering, standard errors were adjusted using the generalized estimating equation approach with exchangeable correlation structure [30, 31]. Factors associated with choice of providers were examined using multinomial logistic regression which is widely used for modeling polychotomous outcomes including health seeking behaviors [32–34]. “Hotdeck” method by cluster  was used to impute missing data for ‘birth preparedness status’ and ‘any ANC visit’ variables. Analyses were conducted using STATA (version 12.1) .
We received ethical approval from the Johns Hopkins Bloomberg School of Public Health Institutional Review Board and the Ethical Review Committee of the International Centre for Diarrhoeal Disease Research, Bangladesh.
Determinants of seeking care (either curative or preventive) for preterm newborns
Maternal age, parental education and religion were not associated with care seeking for preterm newborns. Among all the reported preterm births, 46.7% were female. Compared to male preterm babies, caregivers of female preterm newborns were 27% less likely to seek care (Relative Risk (RR): 0.73; 95% Confidence Interval (CI): 0.66, 0.80). There was no difference in care seeking for preterm babies born from multiple compared to singleton pregnancies (RR: 1.12; 95% CI: 0.92, 1.35).
Determinants of seeking care (either curative or preventive) for preterm newborns
Newborns included in the study N = 27,460
Preterm newborns who sought care
Unadjusted risk ratio (95% CI)
Adjusted€risk ratio (95% CI)
N = 21,370
N = 6,090
N = 1,197
0.80 (0.69, 0.92)*
0.95 (0.82, 1.09)
0.82 (0.70, 0.96)*
0.96 (0.80, 1.14)
35 years & above
0.78 (0.65, 0.94)*
0.92 (0.75, 1.13)
Primary and above
1.29 (1.15, 1.45)*
1.08 (0.96, 1.22)
Primary and above
1.24 (1.10, 1.39)*
1.02 (0.91, 1.15)
0.89 (0.66, 1.19)
1.03 (0.79, 1.34)
1.67 (1.34, 2.07) *
1.12 (0.92, 1.35)
History of child death
1.09 (0.96, 1.23)
1.21 (1.07, 1.37)*
Sex of the baby
0.71 (0.63, 0.80)*
0.73 (0.66, 0.80)*
Birth preparedness status
0.84 (0.72, 0.97)*
0.91 (0.81, 1.03)
1.10 (0.94, 1.29)
1.14 (0.99, 1.30)
Any ANC visit
1.92 (1.70, 2.16)*
1.41 (1.25, 1.59)*
1.26 (1.05, 1.52)*
1.18 (1.00, 1.39)
1.58 (1.31, 1.89)*
1.38 (1.17, 1.64)*
1.60 (1.33, 1.93)*
1.34 (1.13, 1.60)*
2.07 (1.71, 2.51)*
1.57 (1.29, 1.90)*
Distance from health facility
Less than 2 Km
0.71 (0.62, 0.82)*
0.79 (0.70, 0.88)*
3 Km or more
0.66 (0.57, 0.77) *
0.75 (0.66, 0.87) *
1.76 (1.51, 2.04)*
1.28 (1.12, 1.45)*
Any signs of injury at birth
2.12 (1.58, 2.86)*
1.44 (1.13, 1.84)*
Symptoms of illness
2.64 (2.34, 2.97)*
2.14 (1.93, 2.38)*
Signs of local infections
3.42 (2.90, 4.03)*
2.53 (2.23, 2.87)*
Caregivers who had any ANC visit were 41% more likely to seek care for their preterm baby (RR: 1.41; 95% CI: 1.25, 1.59). Likelihood of care-seeking was not significantly different among caregivers who had “Fully compliant” BNCP status (RR: 1.14; 95% CI: 0.99, 1.30) compared to those who were “non-compliant”.
In Table 1, we found that higher socioeconomic status was associated with increased likelihood of care-seeking for preterm babies. Respondents in the richest group were >1.5 times more likely to seek care compared to the respondents in the poorest group [RR: 1.57; 95% CI: 1.29, 1.90]. There was lower likelihood of care seeking for preterm babies from households further from facilities; compared to babies from households within 2 km of a health facility, preterm babies born >2 km from a health facility were 25% less likely to seek care (RR: 0.75; 95% CI: 0.66, 0.87).
Among preterm babies, 17.5% had reported symptoms of illness and 10.7% suffered birth asphyxia; signs of local infection were found among 4.5%, and only a few (1.8%) had signs of birth injury (Table 1). Care-seeking for preterm babies was >2-fold significantly higher among caregivers who had recognized symptoms of illness (RR: 2.14; 95% CI: 1.93, 2.38), or signs of local infections (RR: 2.53; 95% CI: 2.23, 2.87). Preterm infants who suffered birth asphyxia (RR: 1.28; 95% CI: 1.12, 1.45) or who had any birth injury (RR: 1.44; 95% CI: 1.13, 1.84) were similarly found to have higher likelihood to be taken for care-seeking.
Pattern of care seeking
Distribution of newborns seeking curative and preventive care from different types of providers, by gestational age
Type of providers
Health care Providers
Newborns for whom families/parents sought care health care¥
Babies born at Term (>37 weeks) and sought care
Babies born preterm and sought care (N = 1,197)
Very preterm (28–31 weeks)
Moderate preterm (32–34 weeks)
Late preterm (35–36 weeks)
N = 4,619
N = 135
N = 411
N = 651
Doctor [Medical graduate (MBBS1)]
Results from multinomial logistic regression analysis
Multinomial logistic regression $ analysis for care seeking (preventive or curative) for preterm newborns
Non-qualified care provider**
Relative Risk Ratio (RRR)
Relative Risk Ratio (RRR)
0.69 – 1.08
0.66 – 1.31
0.56 – 1.01
1.01 – 2.27∞
35 years & above
0.57 – 1.08
0.67 – 1.82
Primary and above
0.94 – 1.39
0.78 – 1.38
Below primary level
Primary and above
0.76 – 1.11
1.02 – 1.74∞
0.66 – 1.51
0.55 – 1.84
Household wealth quintile
Lowest quintile (Poorest)
Second lowest quintile
0.95 – 1.56
0.89 – 1.98
1.25 – 2.11∞
1.02 – 2.30∞
Second highest quintile
1.09 – 1.90∞
1.15 – 2.64∞
Highest quintile (Richest)
1.15 – 2.19∞
1.82 – 4.42∞
Distance from health facility
Less than 2 Km
0.65 – 0.94∞
0.40 – 0.70∞
3 Km or more
0.67 – 1.01
0.25 – 0.52∞
Index pregnancy and previous obstetric related characteristics of the mother
0.66 – 1.45
0.95 – 2.28
History of child death
1.02 – 1.50∞
1.12 – 2.05∞
Characteristics of the newborn
Sex of the baby
0.58 – 0.80∞
0.41 – 0.66∞
1.15 – 1.84∞
1.23 – 2.31∞
Any signs of injury at birth
0.82 – 2.38
1.62 – 5.45∞
Reported symptoms of illness
2.64 – 3.83∞
2.71 – 4.53∞
Signs of local infections
4.82 – 8.84∞
3.35 – 7.65∞
Health practices during antenatal period
0.73 – 1.10
0.61 – 1.11
1.04 – 1.47∞
1.09 – 1.68∞
Any ANC visit
1.28 – 1.86∞
1.30 – 2.30∞
Household wealth quintile and distance from nearest health facility were significantly associated with care seeking, especially from qualified but also from non-qualified providers. All the need factors (except birth injury) in the model were significantly associated with using qualified and nonqualified care.
Our findings confirm that parents and caregivers in rural Bangladesh are reluctant to seek care for preterm babies; among those who seek care, they prefer to consult with unqualified rather than qualified providers. Preterm neonates are especially vulnerable to temperature instability, feeding difficulties, low blood sugar, infections and breathing difficulties - conditions which pose a critical need for care seeking for preterm babies. The low rate of care seeking for preterm babies (19.6%) in our study is consistent with findings from previous research in Bangladesh, Nepal, Pakistan and India .
Homeopathic practitioners are the preferred care providers for preterm infants in our study population. An earlier study conducted in same study area  reported similar parental preference for homeopathic care for their newborns over qualified and other non-qualified care providers. Homeopaths are mostly self-educated, but some possess recognized qualifications from government and/or private homeopathic colleges . Both health care providers and parents often agree that very small babies or babies born too soon, irrespective of disease status, are ‘high risk’ (biomedical term) or ‘vulnerable’ (approximate translation of local terms). The difference lies in what is seen as appropriate treatment for vulnerable infants. Parents may perceive that biomedical treatments such as injections and antibiotics are too strong, and that vulnerable infants cannot withstand them. Parental preference for homeopathic providers is possibly because homeopathic medicine is thought to exert slow and gentle effects, which is perceived to be more acceptable than ‘strong’ modern medicines for a vulnerable baby.
Paternal education and sex of the newborn were significantly associated with care seeking from a qualified provider while mother’s education was not. Although mothers take most health related decisions at home regarding diarrheal disease and immunizations , fathers are more likely to take decisions for seeking care outside the home in rural Bangladeshi society . Sex differential in care seeking has been reported in previous studies in South Asia [12, 40]. Consistent with strong son preference in this region [41, 42] and as reported in a study in rural India [43, 44], our study also revealed that female babies are less likely to be taken for qualified medical care compared to male babies.
We found that household wealth status and distance from the nearest health facility were significantly associated with care seeking from qualified providers in our study population, which is also consistent with previous reports . Household economic status is an established factor associated with care seeking for children [12, 40, 45–50]. Distance from health facilities has also been an important barrier to health care access, including child health services, in other settings [50–52].
We found significant associations between positive health behaviours and antenatal practices (e.g., ANC visit, BNCP) and care seeking for preterm babies from a qualified or unqualified provider. Moreover, similar to previously reported results [45, 53], we also found a significant increase in the probability for care seeking for preterm newborns when signs of illnesses (asphyxia, birth injury, local infections including skin and eye infections and oral thrush) are recognized by parents or caregivers. These signs are visible, which may make family members more worried. Current evidence also shows that recognition of early danger signs of neonatal infections improves timely care seeking . The strategy of study intervention delivery which included recognition of signs of illnesses among newborns by conducting assessments during postnatal home visits by trained CHWs, making referral and providing support to families for referral compliance also might explain such increased probability of care seeking for preterm newborns with signs of injury and infections. Our results reiterate an urgent need to educate parents/caregivers on recognition of risk factors and danger signs for mortality and morbidity for preterm babies. Although improved recognition of illness signs has been associated with increased care seeking in sick children [8, 55–58], other socio-cultural factors are interlinked with decisions to seek care from a qualified provider [6, 20, 59, 60]. For example, taking a sick infant outside the home is often perceived by the parents/caregivers as exposing the baby to increased risk of encountering malevolent spirits or the glare (“evil eye”) of jealous neighbours, which is believed to be the source of illness [12, 20]. In Sylhet, the concept of malevolent spirits is prevalent (locally called ‘upri’) and is believed to manifest in neonatal illnesses characterized by high fever, crying, not wanting to eat, black spots on the skin, unusual quietness and strange facial expressions. Similar effects are perceived as the outcome of a glare from a jealous neighbour (locally named as ‘nazar’) .
We enrolled a large number of mother-live born baby pairs and followed all live births through the neonatal period. Prospective design of this study eliminated the risk of selection as well as recall biases which are common in cross sectional and retrospective studies. Most of the known factors associated with care seeking practice were adjusted for in the analysis. However, a major limitation of the study was our reliance on LMP to determine gestational age. Common criticisms of the LMP method for gestational age determination include possible inaccuracy in recall, heaping on certain dates, and generalized assumption of “normal” menstrual cycle [61–63]. Given the need for clinical skills to determine gestational age by Dubowitz or Ballard methods and technical skills plus costs in using ultrasound, LMP remains the most feasible option in many rural, low resource settings such as ours. A related concern is the potential threat of having selection bias due to exclusion of women who could not report their LMP date. We examined for any differential in the characteristics of women whom we excluded, and found nothing significant. By restricting analyses to newborns visited by a CHW within two weeks after the birth, we may have potentially introduced survival bias; for example by excluding a baby who died before receiving a CHW visit (n = 495; 1.8% of 27,460).
Our study results yielded the following recommendations to improve health care seeking for preterm babies in similar settings: 1) Involve community-preferred health care providers, even if they are unqualified (i.e.- not qualified in terms of western medicine practice; for example: homeopathic practitioners), to facilitate community-based health education and awareness raising programs; consider training them to recognize signs of illness and to refer sick newborns to qualified providers/facilities; and 2) Integrate postnatal care seeking messages (for both mother and baby) into antenatal counselling. Simultaneously, community-based health counselling and behaviour change communication strategies might have the potential to improve parental recognition of illness leading to early health care seeking for newborns, specifically preterm babies, and thus possibly will be critical for achieving success in community-based maternal and newborn health programs in low-income countries. Finally, we recommend further studies on community-level care seeking practices for preterm babies which would help in planning programs to reduce morbidity and mortality risks for babies who are ‘Born Too Soon’.
ProjAHNMo stands for Project for Advancing Health of Newborn and Mothers.
The study was conducted by the Projahnmo study group in Bangladesh. Projahnmo is a partnership of the ICDDR,B; the Bangladesh government’s Ministry of Health and Family Welfare; Bangladeshi nongovernmental organizations, including Shimantik, Save the Children-US, Dhaka Shishu Hospital and the Institute of Child and Mother Health; and the Johns Hopkins Bloomberg School of Public Health. We thank the members of the Projahnmo study team, including Projahnmo field and data management staff who worked tirelessly, and our colleagues at the Bangladesh Ministry of Health and Family Welfare at the sub-district, district and national levels for their valuable support. We are also thankful to many individuals in Sylhet for their generous support and timely effort to conduct this study successfully.
Funding for the Projahnmo Project was provided by the United States Agency for International Development, Office of Health, Infectious Diseases, and Nutrition, Global Health Bureau and the Dhaka Mission through the Global Research Activity Cooperative Agreement (GHS-A-00-03-00019-00), and the Saving Newborn Lives initiative of Save the Children through a grant from the Bill and Melinda Gates Foundation.
Rashed Shah was supported through a Fogarty Training Grant (Grant # D43TW7587) during the period of data analyses and manuscript writing.
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