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Summary: Background: Health worker compliance with clinical guidelines is enhanced by digital clinical decision support at the point of care. The Palestinian public health system is implementing a digital maternal and child health eRegistry with clinical decision support. We aimed to compare the quality of antenatal care between clinics using the eRegistry and those using paper-based records. Methods: The eRegQual cluster-randomised controlled trial was done in primary health-care clinics offering routine antenatal care in the West Bank, Palestine. The intervention was the eRegistry with clinical decision support for antenatal care, implemented in District Health Information Systems 2 (DHIS2) Tracker software. 133 clinics forming 120 clusters were included and randomised; clusters were randomly assigned (1:1) to either the control (paper-based documentation) or intervention (eRegistry with clinical decision support) groups. The primary process outcomes were appropriate screening and management of anaemia, hypertension, and diabetes during pregnancy and foetal growth monitoring. The primary health outcome at delivery was a composite of moderate or severe anaemia; severe hypertension; large-for-gestational-age baby; malpresentation and small-for-gestational-age baby undetected before delivery. Data were analysed with mixed-effects logistic regression, accounting for clustering within clinics and pregnancies as appropriate. This trial is registered with the ISRCTN registry (ISRCTN18008445). Findings: Between Jan 15 and Sept 15, 2017, 3219 pregnant women received care in the intervention clinics (n=60 clusters) and 3148 pregnant women received care in the control primary health-care clinics (n=59 clusters). Compared with the control group, the intervention led to higher guideline adherence for screening and management of anaemia (1535 [28·9%] of 5320 vs 2297 [44·3%] of 5182; adjusted odds ratio [OR] 1·88 [95% CI 1·52–2·32]), hypertension (7555 [94·7%] of 7982 vs 7314 [96·6%] of 7569; adjusted OR 1·62 [95% CI 1·29–2·05]), and gestational diabetes (1726 (39·7%) of 4348 vs 2189 (50·7%) of 4321; adjusted OR 1·45 [95% CI 1·14–1·83]) at eligible antenatal contacts. Only 599 (9·4%) of 6367 women attended the full antenatal care schedule, and better care provision did not translate to fewer adverse health outcomes in the intervention clusters (700 cases; 21·7%) compared to the control clusters (688 cases; 21·9%; adjusted OR 0·99; 95% CI 0·87–1·12). Interpretation: Clinical decision support for antenatal care in the eRegistry was superior for most process outcomes but had no effect on the adverse health outcomes. The improvements in process outcomes strengthen the evidence for the WHO guideline for digital client tracking with clinical decision support in lower-middle-income settings. Digital health interventions to address gaps in attendance might help achieve effective coverage of antenatal care. Funding: European Research Council and Research Council of Norway. Translation: For the Arabic translation of the abstract see Supplementary Materials section.

BACKGROUND Digital health interventions have been shown to improve data quality and health services in low- and middle-income countries (LMICs). Nonetheless, in LMICs, systematic assessments of time saved with the use of digital tools are rare. We ran a set of cluster-randomized controlled trials as part of the implementation of a digital maternal and child health registry (eRegistry) in the West Bank, Palestine. OBJECTIVE In the eRegTime study, we compared time spent on health information management in clinics that use the eRegistry versus the existing paper-based documentation system. METHODS Intervention (eRegistry) and control (paper documentation) arms were defined by a stratified random subsample of primary health care clinics from the concurrent eRegQual trial. We used time-motion methodology to collect data on antenatal care service provision. Four observers used handheld tablets to record time-use data during one working day per clinic. We estimated relative time spent on health information management for booking and follow-up visits and on client care using mixed-effects linear regression. RESULTS In total, 22 of the 24 included clinics (12 intervention, 10 control) contributed data; no antenatal care visits occurred in the other two clinics during the study period. A total of 123 and 118 consultations of new pregnancy registrations and follow-up antenatal care visits were observed in the intervention and control groups, respectively. Average time spent on health information management for follow-up antenatal care visits in eRegistry clinics was 5.72 minutes versus 8.10 minutes in control clinics (adjusted relative time 0.69, 95% CI 0.60-0.79; PP=.85) for booking visits. The average time spent on documentation, a subcategory of health information management, was 5.50 minutes in eRegistry clinics versus 8.48 minutes in control clinics (adjusted relative time 0.68, 95% CI 0.56-0.83; PP=.27). CONCLUSIONS The eRegistry captures digital data at point of care during client consultations and generates automated routine reports based on the clinical data entered. Markedly less time (plausibly a saving of at least 18%) was spent on health information management in eRegistry clinics compared to those that use paper-based documentation. This is likely explained by the fact that the eRegistry requires lesser repetitive documentation work than paper-based systems. Adoption of eRegistry-like systems in comparable settings may save valuable and scarce health care resources. CLINICALTRIAL ISRCTN registry ISRCTN18008445; https://doi.org/10.1186/ISRCTN18008445 INTERNATIONAL REGISTERED REPORT RR2-10.2196/13653

Aim Hearing loss in infants is often diagnosed late, despite universal screening programmes. Risk factors of hearing impairment in high-risk neonates, identified from population-based studies, can inform policy around targeted screening. Our aim was to determine the prevalence and the risk factors of hearing loss in a high-risk neonatal population. Methods This was a retrospective cohort study of neonates hospitalised at the University Hospital Cologne, Germany from January 2009 to December 2014 and were part of the newborn hearing screening programme. Multivariable regression analyses using the lasso approach was performed. Results Data were available for 4512 (43% female) neonates with a mean gestational age at birth of 35.5 weeks. The prevalence of hearing loss was 1.6%, and 42 (0.9%) neonates had permanent hearing loss. Craniofacial anomalies, hyperbilirubinaemia requiring exchange transfusion, oxygen supplementation after 36 weeks of gestation and hydrops fetalis showed associations with permanent hearing loss. Conclusion Our findings of risk factors for hearing loss were consistent with other studies. However, some commonly demonstrated risk factors such as perinatal infections, meningitis, sepsis and ototoxic drugs did not show significant associations in our cohort. Targeted screening based on risk factors may help early identification of hearing loss in neonates.

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 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 increased utilization of timely first antenatal care visit and facility delivery. The pregnant women, irrespective of wealth shifted from public to private facilities for their antenatal care visits and delivery. To increase the health service utilization and promote good health, maternal health care programs should pay particular attention to young, multiparous women, of low socio-economic status, or with poorly educated husbands. Clinical trial registration ISRCTN69491836; https://www.isrctn.com/. Registered on December 06, 2018. Retrospectively registered.

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.

BACKGROUND Digital health interventions (DHIs) can alleviate several barriers to achieving better maternal and child health. The World Health Organization’s guideline recommendations for DHIs emphasize the need to integrate multiple DHIs for maximizing impact. The complex health system of Bangladesh provides a unique setting for evaluating and understanding the role of an electronic registry (eRegistry) for antenatal care, with multiple integrated DHIs for strengthening the health system as well as improving the quality and utilization of the public health care system. OBJECTIVE The aim of this study is to assess the effect of an eRegistry with DHIs compared with a simple digital data entry tool without DHIs in the community and frontline health facilities. METHODS The eRegMat is a cluster-randomized controlled trial conducted in the Matlab North and Matlab South subdistricts in the Chandpur district, Bangladesh, where health facilities are currently using the eRegistry for digital tracking of the health status of pregnant women longitudinally. The intervention arm received 3 superimposed data-driven DHIs: health worker clinical decision support, health worker feedback dashboards with action items, and targeted client communication to pregnant women. The primary outcomes are appropriate screening as well as management of hypertension during pregnancy and timely antenatal care attendance. The secondary outcomes include morbidity and mortality in the perinatal period as well as timely first antenatal care visit; successful referrals for anemia, diabetes, or hypertension during pregnancy; and facility delivery. RESULTS The eRegistry and DHIs were co-designed with end users between 2016 and 2018. The eRegistry was implemented in the study area in July 2018. Recruitment for the trial started in October 2018 and ended in June 2020, followed by an 8-month follow-up period to capture outcome data until February 2021. Trial results will be available for publication in June 2021. CONCLUSIONS This trial allows the simultaneous assessment of multiple integrated DHIs for strengthening the health system and aims to provide evidence for its implementation. The study design and outcomes are geared toward informing the living review process of the guidelines for implementing DHIs. CLINICALTRIAL ISRCTN Registry ISRCTN69491836; https://www.isrctn.com/ISRCTN69491836 INTERNATIONAL REGISTERED REPORT DERR1-10.2196/26918

Background This trial evaluates interventions that utilize data entered at point-of-care in the Palestinian maternal and child eRegistry to generate Quality Improvement Dashboards (QID) for healthcare providers and Targeted Client Communication (TCC) via short message service (SMS) to clients. The aim is to assess the effectiveness of the automated communication strategies from the eRegistry on improving attendance and quality of care for pregnant women. Methods This four-arm cluster randomized controlled trial will be conducted in the West Bank and the Gaza Strip, Palestine, and includes 138 clusters (primary healthcare clinics) enrolling from 45 to 3000 pregnancies per year. The intervention tools are the QID and the TCC via SMS, automated from the eRegistry built on the District Health Information Software 2 (DHIS2) Tracker. The primary outcomes are appropriate screening and management of anemia, hypertension, and diabetes during pregnancy and timely attendance to antenatal care. Primary analysis, at the individual level taking the design effect of the clustering into account, will be done as intention-to-treat. Discussion This trial, embedded in the implementation of the eRegistry in Palestine, will inform the use of digital health interventions as a health systems strengthening approach. Trial registration ISRCTN Registry, ISRCTN10520687. Registered on 18 October 2018

Additional file 2. Background information.

Additional file 1. In-depth interview guides.

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. This study explores their perceptions towards developing 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: We conducted this qualitative study between May and 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 was used to guide data collection and analysis. Thematic analysis was carried out manually. We used behavior change techniques to inform the development of targeted client communications 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 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. 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 study participants. 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.

Background: This trial evaluates interventions that utilize data entered at point-of-care in the Palestinian maternal and child eRegistry to generate Quality Improvement Dashboards (QID) for healthcare providers and Targeted Client Communication (TCC) via short message service (SMS) to clients. The aim is to assess the effectiveness of the automated communication strategies from the eRegistry on improving attendance and quality of care for pregnant women.Methods: This four-arm cluster randomized controlled trial will be conducted in the West Bank and the Gaza Strip, Palestine, and includes 138 clusters (primary healthcare clinics) enrolling from 45 to 3000 pregnancies per year. The intervention tools are the QID and the TCC via SMS, automated from the eRegistry built on the District Health Information Software 2 (DHIS2) Tracker. The primary outcomes are appropriate screening and management of anemia, hypertension, and diabetes during pregnancy; and timely attendance to antenatal care. Primary analysis, at the individual-level taking the design effect of the clustering into account, will be done as intention-to-treat.Discussion: This trial, embedded in the implementation of the eRegistry in Palestine, will inform the use of digital health interventions as a health systems strengthening approach.Trial registration: ISRCTN, trial registration number: 10520687, registered 18 October 2018, http://www.isrctn.com/ISRCTN10520687

Background Estimated dates of delivery have important consequences for clinical decisions during pregnancy and labour. The Electronic Maternal and Child Health Registry (MCH eRegistry) in Palestine includes antenatal care data and birth data from hospitals. Our objective was to compare computed best estimates of gestational age in the MCH eRegistry with the gestational ages recorded by health-care providers in hospital delivery units. Methods We obtained data for pregnant women in the West Bank registered in the MCH eRegistry from Jan 1, 2017 to March 31, 2017. Best estimates of gestational age in the registry are automated and based on a standard pregnancy duration of 280 days and ultrasound-based pregnancy dating before 20 weeks’ gestation or the woman's last menstrual period date. Hospital recorded gestational ages are reported by care providers in delivery units and are rounded to the nearest week. We calculated proportions of gestational ages (with 95% CIs) from both sources that fell into the categories of term, very preterm (24–32 weeks’ gestation), preterm (33–37 weeks), or post-term (>42 weeks). Findings 1924 women were included in the study. The median hospital recorded gestational age was 39 weeks (IQR 38–40 weeks) and according to MCH eRegistry estimates was 39 weeks and 5 days (IQR 38 weeks and 1 day to 40 weeks and 5 days). Proportions of very preterm, preterm, and post-term deliveries were higher based on MCH eRegistry estimates than on hospital recorded gestational ages (very preterm 3%, 95% CI 2–4 vs 2%, 1–2; preterm 6%, 5–7 vs 5%, 3–6 ; post-term 6%, 5–7 vs 1%, 1–2). Interpretation In addition to clinical care, the proportions of term, very preterm, preterm, and post-term births can have implications for public health monitoring. The proportion of deliveries within the normal range of term gestation was calculated to be higher by care providers in delivery units than by MCH eRegistry estimates. Extending the access of hospitals to information from antenatal care in the MCH e-Registry could improve continuity of data and better care for pregnant women. Funding European Research Council, Research Council of Norway.

Background Policy making in healthcare requires reliable and local data. Different sources of coverage data for health interventions can be utilized to populate the Lives Saved Tool (LiST), a commonly used policy-planning tool for women and children’s health. We have evaluated four existing sources of antenatal care data in Palestine to discuss the implications of their use in LiST. Methods We identified all intervention coverage and health status indicators around the antenatal period that could be used to populate LiST. These indicators were calculated from 1) routine reported data, 2) a Multiple Indicator Cluster Survey (MICS), 3) paper-based antenatal records and 4) the eRegistry (an electronic health information system) for public clinics in the West Bank, Palestine for the most recent year available. We scaled coverage of each indicator to 90%, in public clinics only, and compared this to a no-change scenario for a seven-year period. Results Eight intervention coverage and health status indicators needed to populate the antenatal section of LiST could be calculated from both paper-based antenatal records and the eRegistry. Only two could be calculated from routine reports and three from a national survey. Maternal lives saved over seven years ranged from 5 to 39, with percent reduction in the maternal mortality ratio (MMR) ranging from 1 to 6%. Pre-eclampsia management accounted for 25 to 100% of these lives saved. Conclusions The choice of data source for antenatal indicators will affect policy-based decisions when used to populate LiST. Although all data sources have their purpose, clinical data collected directly in an electronic registry during antenatal contacts may provide the most reliable and complete data to populate currently unavailable but needed indicators around specific antenatal care interventions. Electronic supplementary material The online version of this article (10.1186/s12889-019-6427-8) contains supplementary material, which is available to authorized users.

Background: Computerised decision support (CDS) based on trustworthy clinical guidelines is a key componentof a learning healthcare system. Research shows that the effectiveness of CDS is mixed.Multifaceted context, system, recommendation and implementation factors may potentially affect the success ofCDS interventions. This paper describes the development of a checklist that is intended to support professionals toimplement CDS successfully.Methods: We developed the checklist through an iterative process that involved a systematic review of evidenceand frameworks, a synthesis of the success factors identified in the review, feedback from an international expertpanel that evaluated the checklist in relation to a list of desirable framework attributes, consultations with patientsand healthcare consumers and pilot testing of the checklist.Results: We screened 5347 papers and selected 71 papers with relevant information on success factors forguideline-based CDS. From the selected papers, we developed a 16-factor checklist that is divided in four domains,i.e. the CDS context, content, system and implementation domains. The panel of experts evaluated the checklistpositively as an instrument that could support people implementing guideline-based CDS across a wide range ofsettings globally. Patients and healthcare consumers identified guideline-based CDS as an important qualityimprovement intervention and perceived the GUIDES checklist as a suitable and useful strategy.Conclusions: The GUIDES checklist can support professionals in considering the factors that affect the success ofCDS interventions. It may facilitate a deeper and more accurate understanding of the factors shaping CDSeffectiveness. Relying on a structured approach may prevent that important factors are missed.Keywords: Clinical computerised decision support systems, Practice Guidelines, Guideline adherence,Evidence-based medicine, Implementation

Background Health worker compliance with established best-practice clinical and public health guidelines may be enhanced by customized checklists of care and clinical decision support driven by point-of-care data entry into an electronic health registry. The public health system of Palestine is currently implementing a national electronic registry (eRegistry) for maternal and child health. This trial is embedded in the national implementation and aims to assess the effectiveness of the eRegistry’s interactive checklists and clinical decision support, compared with the existing paper based records, on improving the quality of care for pregnant women. Methods This two-arm cluster randomized controlled trial is conducted in the West Bank, Palestine, and includes 120 clusters (primary healthcare clinics) with an average annual enrollment of 60 pregnancies. The intervention tool is the eRegistry’s interactive checklists and clinical decision support implemented within the District Health Information System 2 (DHIS2) Tracker software, developed and customized for the Palestinian context. The primary outcomes reflect the processes of essential interventions, namely timely and appropriate screening and management of: 1) anemia in pregnancy; 2) hypertension in pregnancy; 3) abnormal fetal growth; 4) and diabetes mellitus in pregnancy. The composite primary health outcome encompasses five conditions representing risk for the mother or baby that could have been detected or prevented by high-quality antenatal care: moderate or severe anemia at admission for labor; severe hypertension at admission for labor; malpresentation at delivery undetected during pregnancy; small for gestational age baby at delivery undetected during pregnancy; and large for gestational age baby at delivery. Primary analysis at the individual level taking the design effect of the clustering into account will be performed as intention-to-treat. Discussion This trial, embedded in the national implementation of the eRegistry in Palestine, allows the assessment of process and health outcomes in a large-scale pragmatic setting. Findings will inform the use of interactive checklists and clinical decision support driven by point-of-care data entry into an eRegistry as a health systems-strengthening approach. Trial registration ISRCTN trial registration number, ISRCTN18008445. Registered on 6 April 2017. Electronic supplementary material The online version of this article (doi:10.1186/s13063-017-2386-5) contains supplementary material, which is available to authorized users.

Background Paper-based routine health information systems often require repetitive data entry. In the West Bank, the primary health care system for maternal and child health was entirely paper-based, with care providers spending considerable amounts of time maintaining multiple files and client registers. As part of the phased national implementation of an electronic health information system, some of the primary health care clinics are now using an electronic registry (eRegistry) for maternal and child health. The eRegistry consists of client-level data entered by care providers at the point-of-care and supports several digital health interventions that are triggered by the documented clinical data, including guideline-based clinical decision support and automated public health reports. Objective The aim of the eRegTime study is to investigate whether the use of the eRegistry leads to changes in time-efficiency in health information management by the care providers, compared with the paper-based systems. Methods This is a substudy in a cluster randomized controlled trial (the eRegQual study) and uses the time-motion observational study design. The primary outcome is the time spent on health information management for antenatal care, informed and defined by workflow mapping in the clinics. We performed sample size estimations to enable the detection of a 25% change in time-efficiency with a 90% power using an intracluster correlation coefficient of 0.1 and an alpha of .05. We observed care providers for full workdays in 24 randomly selected primary health care clinics—12 using the eRegistry and 12 still using paper. Linear mixed effects models will be used to compare the time spent on health information management per client per care provider. Results Although the objective of the eRegQual study is to assess the effectiveness of the eRegistry in improving quality of antenatal care, the results of the eRegTime study will contribute to process evaluation, supplementing the findings of the larger trial. Conclusions Electronic health tools are expected to reduce workload for the care providers and thus improve efficiency of clinical work. To achieve these benefits, the implementation of such systems requires both integration with existing workflows and the creation of new workflows. Studies assessing the time-efficiency of electronic health information systems can inform policy decisions for implementations in resource-limited low- and middle-income settings. International Registered Report Identifier (IRRID) DERR1-10.2196/13653

Background Good quality data from health systems can benefit several stakeholders, including policy makers, care providers, clients, and researchers. Conventional data collection methods for maternal and child health, such as household surveys, may not be suitable to assess processes of service delivery. The electronic maternal and child health registry (MCH eRegistry) has been implemented in 182 governmental primary care clinics in Palestine. Here we present the data in the MCH eRegistry. Methods We processed the raw data in the MCH eRegistry from the West Bank, and documented validation rules for crude data points (time of entry, values allowed). Definitions and appropriate categorisations were created for core process indicators. Data from the MCH eRegistry and the electronic health information system in governmental hospitals were linked using statistical software. Findings As per the second quarter of 2018, the MCH eRegistry contained raw data on 69 793 antenatal care visits, 27 304 postpartum care visits and 40 264 newborn care visits. From antenatal care, data on core process indicators were available for screening of anaemia (n=48 542), hypertension (n=66 814), diabetes (n=18 013), asymptomatic bacteriuria (n=31 757), as well as antenatal ultrasound (n=55 453). Distributions of raw data on haemoglobin and blood pressures had no extreme outliers. Links had been established between antenatal care and delivery data in governmental hospitals for 51% of births. Interpretation The MCH eRegistry contains data from antenatal to postpartum and newborn care. These data have been successfully linked with delivery data, resulting in a large data set on continuity of care and birth outcomes. Furthermore, the data are accessible, of good quality, and can be used for studies of quality of care and maternal and newborn epidemiology, among others. Researchers are invited to use this resource in working towards improving the health system and the health of Palestinians. Funding European Research Council and Research Council of Norway.

Background In primary care maternal and child health clinics in occupied Palestinian territory, documentation and reporting consume considerable time for care providers. An electronic maternal and child health registry (MCH eRegistry), with point-of-care clinical decision support, is being implemented nationally in governmental clinics. We conducted a pilot study of time spent by care providers on important tasks, in preparation for a trial to compare eRegistry and non-eRegistry clinics. Methods We conducted semi-structured interviews of ten nurse-midwives from six governmental clinics in the West Bank to map clinical workflows, and developed a data collection tool for time-motion observations. In May, 2017, observers recorded one workday in three eRegistry and three non-eRegistry clinics. For each consultation, we calculated the median time spent (in minutes) on each task, and then compared time spent in eRegistry and non-eRegistry clinics using Wilcoxon rank-sum tests. Ethics approvals were obtained from the Palestinian Health Research Council and Regional Ethics Committee, Norway. Informed consent was obtained from all pregnant women. Findings Twelve antenatal consultations (four first booking visits, eight follow-up visits) were observed in eRegistry clinics and 39 (four first visits, 35 follow-up visits) in non-eRegistry clinics. The median duration of booking visits was 19·9 min (IQR 12·9) in eRegistry clinics and 22·1 min (24·9) in non-eRegistry clinics. In eRegistry clinics, the median duration of follow-up visits was 14·6 min (17·3), of which the median clinical examination time was 1·7 min (0·6) and median health information management time was 5·3 min (5·8). In non-eRegistry clinics, the median duration of follow-up visits was 8·8 min (8·7), of which the median clinical examination time was 2·5 min (2·9) and health information management time was 4·6 min (2·0). This pilot study was not sized for comparisons; health information management time was not statistically different between groups (p=0·1). Interpretation Health information management constituted large parts of limited antenatal consultation time. The pilot provided data to estimate that the upcoming trial must include a sample of 24 clinics and 210 observations, with similar proportions of booking and follow-up consultations in both arms, to observe meaningful differences in time consumption with sufficient statistical power. Funding European Research Council and Research Council of Norway.

Glossary of denominator units and definitions. (DOCX 37.9 kb)

Likely indicator values for power comparison displayed in Fig. 3. (DOCX 35.8 kb)

Evaluation rounds, interventions addressed with number of indicators and indicator sources. (DOCX 44.4 kb)

Example score sheet with indicator criteria. (DOCX 329 kb)

Response to feedback â examples of indicator amendments. (DOCX 41.5 kb)

Background The Global Roadmap for Health Measurement and Accountability sees integrated systems for health information as key to obtaining seamless, sustainable, and secure information exchanges at all levels of health systems. The Global Strategy for Women’s, Children’s and Adolescent’s Health aims to achieve a continuum of quality of care with effective coverage of interventions. The WHO and World Bank recommend that countries focus on intervention coverage to monitor programs and progress for universal health coverage. Electronic health registries - eRegistries - represent integrated systems that secure a triple return on investments: First, effective single data collection for health workers to seamlessly follow individuals along the continuum of care and across disconnected cadres of care providers. Second, real-time public health surveillance and monitoring of intervention coverage, and third, feedback of information to individuals, care providers and the public for transparent accountability. This series on eRegistries presents frameworks and tools to facilitate the development and secure operation of eRegistries for maternal and child health. Methods In this first paper of the eRegistries Series we have used WHO frameworks and taxonomy to map how eRegistries can support commonly used electronic and mobile applications to alleviate health systems constraints in maternal and child health. A web-based survey of public health officials in 64 low- and middle-income countries, and a systematic search of literature from 2005–2015, aimed to assess country capacities by the current status, quality and use of data in reproductive health registries. Results eRegistries can offer support for the 12 most commonly used electronic and mobile applications for health. Countries are implementing health registries in various forms, the majority in transition from paper-based data collection to electronic systems, but very few have eRegistries that can act as an integrating backbone for health information. More mature country capacity reflected by published health registry based research is emerging in settings reaching regional or national scale, increasingly with electronic solutions. 66 scientific publications were identified based on 32 registry systems in 23 countries over a period of 10 years; this reflects a challenging experience and capacity gap for delivering sustainable high quality registries. Conclusions Registries are being developed and used in many high burden countries, but their potential benefits are far from realized as few countries have fully transitioned from paper-based health information to integrated electronic backbone systems. Free tools and frameworks exist to facilitate progress in health information for women and children. Electronic supplementary material The online version of this article (doi:10.1186/s12884-016-0801-7) contains supplementary material, which is available to authorized users.

Standard Protocol Items: Recommendations for Intervention trials (SPIRIT) 2013 checklist: recommended items to address in a clinical trial protocol and related documents. (DOCX 51 kb)

Definitions and indicators for assessment of process/ adherence primary outcomes and secondary outcomes. (DOCX 19 kb)

Definitions and indicators for assessment of process/ adherence primary outcomes and secondary outcomes. (DOCX 19 kb)

Standard Protocol Items: Recommendations for Intervention trials (SPIRIT) 2013 checklist: recommended items to address in a clinical trial protocol and related documents. (DOCX 51 kb)

List of participating clinics by district and allocation. (DOCX 19 kb)

Management algorithms for outcome-related conditions during antenatal care in the public healthcare system in Palestine. (DOCX 189 kb)

Management algorithms for outcome-related conditions during antenatal care in the public healthcare system in Palestine. (DOCX 189 kb)

List of participating clinics by district and allocation. (DOCX 19 kb)

Additional file 1. List of participating clinics and allocation

Additional file 2. Oral informed consent and interview guide

Additional file 1. List of participating clinics and allocation