Effect of a labor triage checklist and ultrasound on obstetric referral at three primary health centers in Eastern Uganda

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Study Justification:
The study aimed to evaluate the effectiveness of implementing a midwife-performed triage checklist and focused ultrasound in improving the diagnosis and referral for obstetric conditions in three primary health centers in Eastern Uganda. The study was conducted to address the need for improved diagnostic accuracy, referral decisions, and outcomes in the management of high-risk obstetric conditions.
Highlights:
– The study implemented three phases of interventions: Phase 1 introduced an intake log, Phase 2 added a triage checklist and referral support, and Phase 3 included the use of ultrasound.
– A total of 2,719 women were enrolled in the study between February 2018 and July 2019, with 2,339 women having outcome data.
– The incidence of any outcome-confirmed condition did not significantly differ between the three phases.
– The proportion of referred women with a condition increased significantly in Phase 3, indicating that the use of ultrasound plus checklist improved referrals for high-risk conditions.
– Sensitivity for detecting high-risk conditions improved with each intervention, but the positive predictive value (PPV) decreased with the addition of ultrasound.
Recommendations:
– Further evaluation of the triage interventions is warranted to maximize diagnostic accuracy, referral decisions, and outcomes.
– The use of ultrasound plus checklist should be considered to increase referrals and sensitivity for high-risk conditions, although the decrease in PPV should be taken into account.
Key Role Players:
– Midwives: Trained midwives played a crucial role in implementing the triage interventions and conducting the study procedures.
– Research Nurse: The research nurse provided support to the midwives and assisted in data collection and entry.
– Data Manager: The data manager ensured data quality, performed data checks, and managed the secure storage and transfer of data.
– Policy Maker: Policy makers in the healthcare sector should be involved in the implementation of the study recommendations and decision-making processes.
Cost Items for Planning Recommendations:
– Training: Budget should be allocated for training midwives and research nurses in the study procedures.
– Equipment: The cost of acquiring ultrasound machines, such as the Mindray DP-10, should be considered.
– Data Management: Resources should be allocated for data management, including secure servers and encryption measures.
– Logistics: Budget should be allocated for the transportation of patients to higher care facilities, such as ambulances or fuel reimbursements.
– Monitoring and Evaluation: Funds should be allocated for monitoring and evaluating the implementation of the recommendations and assessing their impact.
Please note that the provided cost items are general considerations and not actual cost estimates.

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is moderately strong, but there are some areas for improvement. The study design is described, including the phased implementation of triage interventions at three primary health centers in Eastern Uganda. The methods used to assess intake diagnoses, referral status, and delivery outcomes are mentioned. The results show the incidence of outcome-confirmed conditions and the proportion of referred women with a condition in each phase. Sensitivity and positive predictive value (PPV) are also reported. The conclusion states that the use of ultrasound plus checklist increased referrals and sensitivity, but decreased PPV. However, the abstract lacks specific details about the sample size, statistical analysis, and potential limitations of the study. To improve the evidence, the abstract should include more information about the study design, sample size calculation, statistical methods used, and any limitations or potential biases. Additionally, providing more context about the significance of the findings and potential implications for clinical practice would be beneficial.

Objective: To test whether introduction of a midwife-performed triage checklist and focused ultrasound improves diagnosis and referral for obstetric conditions, including multiple gestation, placenta previa, oligohydramnios, preterm birth, malpresentation, and abnormal fetal heart rate. Methods: We implemented an intake log (Phase 1), a checklist (Phase 2), and a checklist plus ultrasound scan (Phase 3) at three primary health centers in Eastern Uganda for women presenting in labor. Intake diagnoses, referral status, and delivery outcomes were assessed, as well as sensitivity and positive predictive value (PPV). Results: Between February 2018 and July 2019, 1155, 961, and 603 women were enrolled across the three phases (n=2719); 2339 had outcome data. Incidence of any outcome-confirmed condition was 8.8%, 7.9%, and 7.1% (P=0.526) for each phase, respectively. The proportion of referred women with a condition did not change between Phases 1 and 2 (7.8% versus 8.6%, P=0.855), but increased in Phase 3 (48.4%, P<0.001). Sensitivity improved with each intervention; PPV decreased with ultrasound. Conclusion: Use of ultrasound plus checklist increased referrals and sensitivity for high-risk conditions, with decreased PPV. The checklist alone improved correct diagnosis, but not referral. Further evaluation of these triage interventions to maximize diagnostic accuracy, referral decisions, and outcomes are warranted.

We examined the phased implementation of triage interventions at three PHCs in Busoga region, Uganda, between February 2018 and July 2019. In 2016, 60% of Ugandan women received four prenatal care visits and the median length of pregnancy at entry to prenatal care was 4.7 months. 13 The three study PHCs provide 24‐hour delivery services without cesarean delivery capacity, conduct 60–75 monthly deliveries, and are located 11, 25, and 41 km from the DH. On average, each PHC has five midwives on staff with each shift covered by one midwife in the labor room and another in prenatal care. The standard of care guidance is to refer to higher care for the conditions of interest (detailed below) unless delivery is imminent. Other conditions including obstructed/prolonged labor, previous cesarean section, pre‐eclamptic toxemia, and antepartum hemorrhage, also warrant referral. Ambulances are accessible, but patients pay money for fuel or rely on their own means to reach the DH. Ultrasounds were not available before the study. The study’s primary outcome was the proportion of women with one or more of six high‐risk conditions confirmed at birth who were referred upon initial PHC presentation. The conditions (preterm birth, multiple gestation, oligohydramnios, placenta previa, malpresentation, and abnormal fetal heart rate) were combined into one composite variable for the primary analysis. The following criteria were used to confirm presence of a complication at outcome: multiple gestation, more than one fetus present; preterm birth, gestational age by Ballard examination; oligohydramnios, reduced amniotic fluid at birth without rupture of membranes; placenta previa, if reported by vaginal examination or cesarean section; malpresentation, non‐cephalic presenting fetal part; abnormal fetal heart rate, 1‐minute Apgar scores less than 7 or infant born without signs of life. The study interventions are described in Table ​Table1.1. The study evaluated the effect of Phase 2 and Phase 3 interventions on the primary outcome using Phase 1 as the baseline comparison. Phase 1 introduced a triage intake log and outcome form. In Phase 2, standardized documentation was supplemented with a triage checklist and referral support. Ultrasound (Mindray DP‐10, Mindray, Shenzhen, China) was added in Phase 3. Phase 2 and Phase 3 checklists are provided in the Appendix S1. Documentation, checklist, and ultrasound were also introduced at the referral DH, as part of a concurrent study that will be described elsewhere. The ultrasound curriulum and quality assurance activites are published elsewhere. 14 Description of triage interventions introduced at the three primary health centers (PHCs) during each study phase. Women who presented with labor‐like pains after 28 weeks of pregnancy were eligible. Women were excluded if they were not in labor or required immediate intervention, such as those with severe antepartum hemorrhage, eclamptic seizure, or imminent delivery. We designed a balanced study with an equal number of women per phase. We estimated that 4% of all parturient women were referred for one of the six conditions based on baseline assessment of register data. Given a two‐tailed test, α of 0.05, 80% power, and a relative effect of 100% (from 4% to 8%), the study required 601 women across the three PHCs per phase (Fleiss continuity correction applied). The sample size was increased by 20%, to 721 per phase, to account for loss to follow up, refusal, and missing data. For each phase, three midwives and one study research nurse from each PHC were trained in study procedures. One study‐trained midwife covered each shift with support from the research nurse. Tools were piloted and revised before implementation. Study‐trained midwives filled out paper‐based study tools and related clinical data sources (i.e., medical charts, register). Research nurses identified eligible women, obtained informed written consent, and entered data using tablets into open data kit. They verified data completeness and consistency before entering data electronically. The study data manager performed biweekly data quality spot‐checks, transferred data to a secure server, and obtained monthly counts of admissions and deliveries to estimate enrollment rates. Paper forms were kept in secure cabinets. All devices were encrypted and password protected, and all electronic data were kept on secure systems. Data access was limited to designated study staff, including the open data kit server, which was hosted by University of California San Francisco. SPSS v25.0 (IBM, Armonk, NY, USA) was used to conduct range and logic checks, and to clean and analyze the data. Individual‐level data from the intake log, outcome form, and Phase 2 and Phase 3 checklists were linked by unique study identification numbers and inpatient numbers. Bivariate analyses included χ2 tests or Fisher’s exact statistics for categorical data and Student’s t tests for continuous data. Conditions were examined using composite variables. Any maternal condition comprises conditions that were measured once per pregnancy (multiple gestation, preterm birth, oligohydramnios, placenta previa). Any fetal condition comprises conditions that were measured per fetus for both singleton and multiple gestations (malpresentation, abnormal fetal heart rate). Any maternal or fetal condition is a composite variable for the six conditions used for the primary analysis. Data for individual conditions are presented without P values to avoid over‐interpretation. Logistic regression was used to adjust for covariates. We ascertained sensitivity and positive predictive value (PPV), as well as specificity and negative predictive value. As secondary outcomes, without a priori hypotheses, descriptive analyses without multiple comparison adjustments were conducted. All participants provided voluntary written informed consent. Approvals were obtained from University of California San Francisco’s Institutional Review Board (#17‐23310) and the Higher Degrees, Research and Ethics Committee at Makerere University (#515).

Based on the provided information, the innovation that was tested to improve access to maternal health was the introduction of a midwife-performed triage checklist and focused ultrasound. This innovation aimed to improve diagnosis and referral for obstetric conditions, including multiple gestation, placenta previa, oligohydramnios, preterm birth, malpresentation, and abnormal fetal heart rate. The study found that the use of ultrasound plus checklist increased referrals and sensitivity for high-risk conditions, but decreased positive predictive value. The checklist alone improved correct diagnosis, but not referral. Further evaluation of these triage interventions is warranted to maximize diagnostic accuracy, referral decisions, and outcomes.
AI Innovations Description
The recommendation to improve access to maternal health is the implementation of a midwife-performed triage checklist and focused ultrasound at primary health centers in Eastern Uganda. This recommendation is based on a study conducted between February 2018 and July 2019, which found that the use of a checklist alone improved correct diagnosis but not referral, while the use of ultrasound plus checklist increased referrals and sensitivity for high-risk conditions.

The phased implementation of triage interventions involved introducing a triage intake log and outcome form in Phase 1, supplementing standardized documentation with a triage checklist and referral support in Phase 2, and adding ultrasound in Phase 3. The study evaluated the effect of Phase 2 and Phase 3 interventions on the proportion of women with high-risk conditions who were referred upon initial presentation at the primary health centers.

The study found that the introduction of the checklist alone improved correct diagnosis but did not significantly increase referrals. However, the addition of ultrasound to the checklist in Phase 3 significantly increased referrals and sensitivity for high-risk conditions. It is important to note that the positive predictive value (PPV) decreased with the use of ultrasound.

Further evaluation of these triage interventions is warranted to maximize diagnostic accuracy, referral decisions, and outcomes. The study highlights the potential benefits of implementing a midwife-performed triage checklist and focused ultrasound to improve access to maternal health services, particularly in low-resource settings like Eastern Uganda.
AI Innovations Methodology
The study described in the provided text aimed to test the effectiveness of introducing a midwife-performed triage checklist and focused ultrasound in improving the diagnosis and referral for obstetric conditions in three primary health centers in Eastern Uganda. The objective was to improve access to maternal health by identifying high-risk conditions and ensuring appropriate referrals.

The methodology used in the study involved three phases of implementation: Phase 1, Phase 2, and Phase 3. In Phase 1, an intake log and outcome form were introduced. Phase 2 included the addition of a triage checklist and referral support, while Phase 3 incorporated the use of ultrasound. The study enrolled a total of 2,719 women across the three phases, with 2,339 having outcome data.

The primary outcome of the study was the proportion of women with one or more high-risk conditions confirmed at birth who were referred upon initial presentation at the primary health centers. The high-risk conditions included preterm birth, multiple gestation, oligohydramnios, placenta previa, malpresentation, and abnormal fetal heart rate.

The study used various criteria to confirm the presence of a complication at birth for each condition. For example, multiple gestation was confirmed if more than one fetus was present, while preterm birth was determined based on gestational age assessed through the Ballard examination.

Data collection involved trained midwives and research nurses who filled out paper-based study tools and entered data electronically using tablets. Data quality checks were performed, and the data were analyzed using SPSS software. Bivariate analyses, logistic regression, and sensitivity and positive predictive value calculations were conducted to assess the impact of the interventions.

The results of the study showed that the introduction of ultrasound plus checklist increased referrals and sensitivity for high-risk conditions, although the positive predictive value decreased. The checklist alone improved correct diagnosis but did not significantly impact referral rates.

In conclusion, the study demonstrated that the implementation of a midwife-performed triage checklist and focused ultrasound can improve access to maternal health by increasing the identification and referral of high-risk obstetric conditions. Further evaluation and refinement of these triage interventions are warranted to maximize diagnostic accuracy, referral decisions, and overall outcomes.

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