An mHealth Strategy to Reduce Pre-Eclampsia and Infant Death in Tanzania

Study Overview
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Brief Summary
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The core of this study is a cluster randomized controlled trial (RCT) of antenatal clinics which are located in four districts in Tanzania. We are conducting an effectiveness (pragmatic) rather than an efficacy (explanatory) trial because we are looking to measure the degree of benefit under 'real world' conditions. Although pragmatic and carried out in real world conditions, the proposed size and scope of the trial will allow us to achieve a robust evaluation of outcomes and determine the effectiveness of our intervention. A cluster design is the most appropriate type of methodology (rather than individual randomization by pregnant woman) as the intervention can be delivered to the entire health facility (of those facilities in the intervention group). The intervention is to implement an mHealth strategy to improve detection and management of PE (pre-eclampsia). This study is a multi-level, mixed-methods design that includes a cluster-randomized controlled trial (RCT) of antenatal clinics in rural Tanzania. Thirty health facilities have been randomized to control facilities and thirty facilities have been randomized to intervention clinics. All randomized clinics have upgraded antenatal care (ANC) and skilled birth attendants present. Nurses in the intervention clinics in this cluster arm will receive mHealth-based education in detection and management of PE and will be instructed and encouraged to follow a guideline-driven approach supported by mHealth (educational modules that provide decision support and reminders through the facility smartphone/tablet). At all antenatal visits, pregnant women will have their blood pressures measured and urine assessed for proteinuria, and, the result will be automatically sent by SMS (short message service) with a unique patient identifier to a central site for monitoring and tracking. Community Health Workers (CHWs) linked to the facility site and local communities will be instructed on which women to have follow-up visits within their communities. For all those women found to be at risk for PE (as well as other high risk maternal conditions), an SMS will be sent to the CHW, and, the nurses at the ANC recommending timely follow-up and protocol steps for management at that facility or for transfer for further monitoring and management at a higher-level facility. The nurses participating in the study have been drawn from the health facilities themselves, in both control and intervention arms. Quantitative data will be collected on an ongoing basis through the mobile platform. Women are eligible for recruitment between 15 weeks and 36 weeks gestation.

Official Title
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A Cluster Randomized, Parallel-group, Superiority Study to Compare the Effectiveness of a Community-based mHealth Strategy Versus Enhanced Usual Care in the Detection and Management of Pre-eclampsia/Eclampsia in Tanzania

Conditions
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Pre-Eclampsia, Eclampsia, Hypertension, Pregnancy-Induced

Intervention / Treatment
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* Other: Community-based Pre-eclampsia/Eclampsia Detection and Management
* Other: Strengthened Referral Network from Community to Referral hospital levels


Participation Criteria
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Eligibility Criteria
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Inclusion Criteria: at least 5 months pregnant Exclusion Criteria: Unable to provide consent.

Ages Eligible for Study
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Minimum Age: 18 Years
Maximum Age: 45 Years

Sexes Eligible for Study
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Female

Accepts Healthy Volunteers
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Accepts Healthy Volunteers

Study Plan
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How is the study designed?
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Design Details

Primary Purpose: Health Services Research
Allocation: Randomized
Intervention Model: Parallel Assignment
Masking: Triple


Arms and Interventions

| Participant Group/Arm | Intervention/Treatment |
| --- | --- |
| Experimental: Intervention Arm<br>Community-based Pre-eclampsia/Eclampsia Detection and Management Strengthened Referral Network from Community to Referral hospital levels Antenatal Care Nurses will receive training on best practices for PE detection and management per Tanzanian Standard Treatment Guidelines. Antenatal Care Nurses will be given smartphones and will be trained to complete Case Report Forms (CRF) to log key indicators and activities at each ANC visit, delivery and Postnatal Care visits of enrolled participants. Antenatal Care Nurses will receive bluetooth blood pressure monitors. Community Health Workers within the intervention arm facilities will receive training in pre-eclampsia features and will be provided with smart phones and access to a smart phone application that will prompt them to initiate follow ups with pregnant women within the community and they will receive SMS/text messages reminders about pregnant women within the community who require follow up. | Other: Community-based Pre-eclampsia/Eclampsia Detection and Management<br>* Three Community Health Workers (CHWs) per health facility (cluster) will be equipped with android smartphones and blood pressure monitors. The CHWs will visit participant's home once per month until 6 weeks post-partum and complete a Case Report Form for signs and symptoms of pre-eclampsia and blood pressure. CHWs, Antenatal Care Nurses (ANC) at the woman's health facility and study coordinator will receive SMS message if the algorithm on our platform (informed by the Tanzanian Standard Treatment Guidelines (TSTG) deems she is at risk for pre-eclampsia. This message will indicate that the woman needs to be referred to her health facility if: participant has high blood pressure, a significant intrapatient rise in blood pressure or a combination of factors according to an algorithm. Woman's condition will be assessed and ANC will decide on the management, including rest at home with CHW monitoring. Women found to be at risk for pre-eclampsia will be visited twice monthly.<br>Other: Strengthened Referral Network from Community to Referral hospital levels<br>* ANC nurses and CHWs will play complementary roles in performing activities to meet key indicators and facilitate referrals. They will deliver a plan using the Pre-eclampsia application tool on their smart phone and then they can refer the pregnant woman for enrollment for facility care and track them as per key indicators. The key innovation is that the mHealth platform can detect increases in BP within each patient, and this ability to detect is brought down to the community level through CHWs. This will allow for earlier detection of PE as singular BPs. Nurses will receive protocolized instructions and education regarding when to refer a woman to a higher-level facility for further management. The program consists of SMS component delivered to provide information about participant's condition to relevant members of the referral pathway to enhance referrals and facilitate community level follow up.<br>|
| No Intervention: Enhanced Usual Care<br>Antenatal Care Nurses will receive training on best practices for PE detection and management per Tanzanian Standard Treatment Guidelines. Antenatal Care Nurses will be given smartphones and will be trained to complete Case Report Forms (CRF) to log key indicators and activities at each ANC visit, delivery and Postnatal Care visits of enrolled participants. Antenatal Care Nurses will receive bluetooth blood pressure monitors. | |

What is the study measuring?
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Primary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| Primary outcome (composite indicator reflecting activities associated with recognition and management/treatment of pre-eclampsia) | A composite indicator reflecting activities (1) associated with recognition of pre-eclampsia by recognizing 1 of these 4 items; Blood pressure reading greater than 140 mmHg, Diastolic greater than 90 mmHg, Intrapatient BP rise of 30mmHg systolic or 15mmHg diastolic, Proteinuria (+) and headache, visual disturbance or both and/or epigastric pain and vomiting, or both, or edema and (2)activities associated with the management/treatment of pre-eclampsia. | Outcome is evaluated at one month post delivery | 

 Terms related to the study
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Keywords Provided by Centre Hospitalier Valida
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Pre-eclampsia, Eclampsia, mHealth, mobile health, Gestosis, Hypertension, Pregnancy-Induced