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1.
BMC Oral Health ; 24(1): 807, 2024 Jul 16.
Article in English | MEDLINE | ID: mdl-39014374

ABSTRACT

BACKGROUND: Early childhood caries (ECC) is a major global health issue affecting millions of children. Mitigating this problem requires up-to-date information from reliable surveillance systems. This enables evidence-based decision-making to devise oral health policies. The World Health Organization (WHO) advocates the adoption of mobile technologies in oral disease surveillance because of their efficiency and ease of application. The study describes developing an electronic, oral health surveillance system (EOHSS) for preschoolers in Egypt, using the District Health Information System (DHIS2) open-source platform along with its Android App, and assesses its feasibility in data acquisition. METHODS: The DHIS2 Server was configured for the DHIS2 Tracker Android Capture App to allow individual-level data entry. The EOHSS indicators were selected in line with the WHO Action Plan 2030. Two modalities for the EOHSS were developed based on clinical data capture: face-to-face and tele/asynchronous. Eight dentists in the pilot team collected 214 events using modality-specific electronic devices. The pilot's team's feedback was obtained regarding the EOHSS's feasibility in collecting data, and a time-motion study was conducted to assess workflow over two weeks. Independent t-test and Statistical Process Control techniques were used for data analysis. RESULTS: The pilot team reported positive feedback on the structure of the EOHSS. Workflow adaptations were made to prioritize surveillance tasks by collecting data from caregivers before acquiring clinical data from children to improve work efficiency. A shorter data capture time was required during face-to-face modality (4.2 ± 0.7 min) compared to telemodality (5.1 ± 0.9 min), p < 0.001). The acquisition of clinical data accounted for 16.9% and 21.1% of the time needed for both modalities, respectively. The time required by the face-to-face modality showed random variation, and the tele-modality tasks showed a reduced time trend to perform tasks. CONCLUSIONS: The DHIS2 provides a feasible solution for developing electronic, oral health surveillance systems. The one-minute difference in data capture time in telemodality compared to face-to-face indicates that despite being slightly more time-consuming, telemodality still shows promise for remote oral health assessments that is particularly valuable in areas with limited access to dental professionals, potentially expanding the reach of oral health screening programs.


Subject(s)
Time and Motion Studies , Humans , Egypt , Child, Preschool , Dental Caries/prevention & control , Dental Caries/epidemiology , Oral Health , Health Information Systems , Population Surveillance/methods , Mobile Applications , Male , Female , Pilot Projects , Feasibility Studies
2.
Lancet Digit Health ; 4(2): e126-e136, 2022 02.
Article in English | MEDLINE | ID: mdl-35090675

ABSTRACT

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.


Subject(s)
Decision Support Systems, Clinical , Guideline Adherence , Maternal Health , Prenatal Care , Quality Improvement , Quality of Health Care , Adult , Female , Humans , Pregnancy , Young Adult
3.
Lancet ; 398 Suppl 1: S18, 2021 Jul.
Article in English | MEDLINE | ID: mdl-34227949

ABSTRACT

BACKGROUND: Targeted client communication using text messages can inform, motivate, and remind pregnant and postpartum women to use care in a timely way. The mixed results of previous studies of the effectiveness of targeted client communication highlight the importance of theory-based co-design with users. We planned, developed, and tested a theory-based intervention tailored to pregnant and postpartum women, to be automatically distributed via an electronic maternal and child health registry in occupied Palestinian territory. METHODS: We did 26 in-depth interviews with pregnant women and health-care providers in seven purposively selected public primary health-care clinics in the West Bank and Gaza to include clinics with different profiles. An interview guide was developed using the Health Belief Model to explore women's perceptions of high-risk conditions (anaemia, hypertension, diabetes, and fetal growth restriction) and timely attendance for antenatal care, as predefined by a national expert panel. We did thematic analyses of the interview data. Based on the results, we composed messages for a targeted client communication intervention, applying concepts from the Model of Actionable Feedback, social nudging, and enhanced active choice. We assessed the acceptability and understandability of the messages through unstructured interviews with local health promotion experts, health-care providers, and pregnant women. FINDINGS: The recurring themes indicated that most women were aware of the health consequences of anaemia, hypertension, and diabetes, but that they seldom associated these conditions with pregnancy. We identified knowledge gaps and low awareness of susceptibility to and severity of these complications and the benefits of timely antenatal care. The actionable messages were iteratively improved with stakeholder and end-user feedback after presenting the initial draft, and the messages deemed were understandable and acceptable based on reflections during unstructured assessment. INTERPRETATION: Following a stepwise iterative process by a theory-based approach and co-designing the intervention with users, we revealed elements critical to an efficacious targeted client communication intervention. A potential limitation of our study is that conducting in-depth interviews on several health conditions simultaneously might have reduced the depth of information we could have obtained. The strength of our study was that we assessed for, developed, and refined the intervention following recommended theoretical frameworks and best practices. The effectiveness of this intervention is under evaluation in a cluster-randomised trial (ISRCTN10520687). FUNDING: European Research Council and Research Council of Norway.

4.
Lancet ; 398 Suppl 1: S31, 2021 Jul.
Article in English | MEDLINE | ID: mdl-34227964

ABSTRACT

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.

5.
Trials ; 22(1): 47, 2021 Jan 11.
Article in English | MEDLINE | ID: mdl-33430935

ABSTRACT

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.


Subject(s)
Pregnant Women , Prenatal Care , Child , Communication , Electronics , Female , Health Personnel , Humans , Middle East , Pregnancy , Quality Improvement , Randomized Controlled Trials as Topic , Registries
6.
BMC Med Inform Decis Mak ; 20(1): 1, 2020 01 06.
Article in English | MEDLINE | ID: mdl-31906929

ABSTRACT

BACKGROUND: Targeted client communication (TCC) using text messages can inform, motivate and remind pregnant and postpartum women of timely utilization of care. The mixed results of the effectiveness of TCC interventions points to the importance of theory based interventions that are co-design with users. The aim of this paper is to describe the planning, development, and evaluation of a theory led TCC intervention, tailored to pregnant and postpartum women and automated from the Palestinian electronic maternal and child health registry. METHODS: We used the Health Belief Model to develop interview guides to explore women's perceptions of antenatal care (ANC), with a focus on high-risk pregnancy conditions (anemia, hypertensive disorders in pregnancy, gestational diabetes mellitus, and fetal growth restriction), and untimely ANC attendance, issues predefined by a national expert panel as being of high interest. We performed 18 in-depth interviews with women, and eight with healthcare providers in public primary healthcare clinics in the West Bank and Gaza. Grounding on the results of the in-depth interviews, we used concepts from the Model of Actionable Feedback, social nudging and Enhanced Active Choice to compose the TCC content to be sent as text messages. We assessed the acceptability and understandability of the draft text messages through unstructured interviews with local health promotion experts, healthcare providers, and pregnant women. RESULTS: We found low awareness of the importance of timely attendance to ANC, and the benefits of ANC for pregnancy outcomes. We identified knowledge gaps and beliefs in the domains of low awareness of susceptibility to, and severity of, anemia, hypertension, and diabetes complications in pregnancy. To increase the utilization of ANC and bridge the identified gaps, we iteratively composed actionable text messages with users, using recommended message framing models. We developed algorithms to trigger tailored text messages with higher intensity for women with a higher risk profile documented in the electronic health registry. CONCLUSIONS: We developed an optimized TCC intervention underpinned by behavior change theory and concepts, and co-designed with users following an iterative process. The electronic maternal and child health registry can serve as a unique platform for TCC interventions using text messages.


Subject(s)
Child Health , Women , Communication , Electronics , Family , Female , Humans , Male , Patients , Pregnancy , Prenatal Care , Registries
7.
Trials ; 19(1): 54, 2018 Jan 22.
Article in English | MEDLINE | ID: mdl-29357912

ABSTRACT

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.


Subject(s)
Checklist , Clinical Decision-Making , Decision Support Systems, Clinical , Decision Support Techniques , Electronic Health Records , Prenatal Care/methods , Quality Improvement , Quality Indicators, Health Care , Registries , Checklist/standards , Decision Support Systems, Clinical/standards , Electronic Health Records/standards , Female , Guideline Adherence , Humans , Middle East , Practice Guidelines as Topic , Pregnancy , Prenatal Care/standards , Quality Improvement/standards , Quality Indicators, Health Care/standards , Randomized Controlled Trials as Topic , Registries/standards , Risk Factors , Treatment Outcome
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