BACKGROUND AND OBJECTIVES: The purpose of this study was to evaluate the feasibility of a customized, culturally sensitive pregnancy wheel given to pregnant women to improve gestational age dating accuracy at the time of delivery and to improve antenatal care attendance. METHODS: This was a pilot randomized trial involving pregnant women presenting to a regional hospital in Lilongwe, Malawi. The primary outcome was accuracy of gestational age at the time of presentation to the hospital in labor. The secondary outcome was the number of antenatal visits. RESULTS: At final analysis, 14 subjects were included in the pregnancy wheel (intervention) arm and 11 in the standard care arm. Fifty percent (n=7) of women in the intervention arm were accurately dated at the time of presentation for delivery, compared to only 9% (n=1) in the standard antenatal care arm (p=0.04). There was not a significant difference in the number of antenatal visits between the two study arms. No patients met the World Health Organization's recommended eight antenatal care visits for prenatal care. CONCLUSION AND GLOBAL HEALTH IMPLICATIONS: The customized pregnancy wheel given to patients could improve gestational age dating accuracy, and as a result, clinical decision making. However, the barriers to greater antenatal care access are more complex and likely require a more complex solution. Significant attrition in this pilot trial limited statistical power, suggesting the need for future larger interventions. Accurate gestational dating requires access to ultrasonography and early antenatal care initiation, both of which are inadequate in Malawi. Although the customized pregnancy wheel did not improve antenatal care attendance, it improved gestational age dating accuracy in a pilot study at a central hospital in Lilongwe, Malawi.
BACKGROUND AND OBJECTIVES: The purpose of this study was to evaluate the feasibility of a customized, culturally sensitive pregnancy wheel given to pregnant women to improve gestational age dating accuracy at the time of delivery and to improve antenatal care attendance. METHODS: This was a pilot randomized trial involving pregnant women presenting to a regional hospital in Lilongwe, Malawi. The primary outcome was accuracy of gestational age at the time of presentation to the hospital in labor. The secondary outcome was the number of antenatal visits. RESULTS: At final analysis, 14 subjects were included in the pregnancy wheel (intervention) arm and 11 in the standard care arm. Fifty percent (n=7) of women in the intervention arm were accurately dated at the time of presentation for delivery, compared to only 9% (n=1) in the standard antenatal care arm (p=0.04). There was not a significant difference in the number of antenatal visits between the two study arms. No patients met the World Health Organization's recommended eight antenatal care visits for prenatal care. CONCLUSION AND GLOBAL HEALTH IMPLICATIONS: The customized pregnancy wheel given to patients could improve gestational age dating accuracy, and as a result, clinical decision making. However, the barriers to greater antenatal care access are more complex and likely require a more complex solution. Significant attrition in this pilot trial limited statistical power, suggesting the need for future larger interventions. Accurate gestational dating requires access to ultrasonography and early antenatal care initiation, both of which are inadequate in Malawi. Although the customized pregnancy wheel did not improve antenatal care attendance, it improved gestational age dating accuracy in a pilot study at a central hospital in Lilongwe, Malawi.
Valid maternal and child health indicators and appropriate clinical decisions both rely on the accurate determination of the gestational age at which an infant is born.1-2 Accurate gestational dating often requires both ultrasound access and early antenatal care initiation, both of which are often lacking in low-resource areas.3-4 Guidelines for accurate dating combine both a woman’s recall of the first day of her last menstrual period (LMP) and a first trimester ultrasound to determine the estimated due date (EDD) of the pregnancy.3 However, in many low-resource countries, ultrasonography is not available due to its prohibitive cost and requirement for trained technicians.1 Therefore, in addition to LMP, crude estimates of gestational age using symphysial fundal height (SFH) measurements, even at the time of admission for labor, are commonly used for gestational dating.5In Malawi, antenatal care and gestational dating are tracked by a government-issued health passport, though few women present for care prior to 16 weeks of gestation due to a variety of cultural and systemic factors.6 Each woman keeps her own pocket-sized book, which she brings to each visit and then to delivery. The passport serves as a mobile medical record and the primary form of communication between providers. If the EDD based on LMP or ultrasound is not clearly documented in the passport, a woman may be re-dated later in pregnancy, contributing to inaccurate gestational age estimation.This feasibility trial proposes using the simple and widely used pregnancy dating wheel, customized for the setting in Malawi, as a tool to accurately calculate gestational age and improve antenatal care. This wheel is based off the standard gestational age wheel, which is used to predict gestational age based off LMP.7 The objective of this study is to determine whether a customized, culturally sensitive pregnancy wheel (The Malawian Pregnancy Wheel) improves the accuracy of gestational dating and enhances antenatal care attendance.
2. Methods
We designed a Malawian Pregnancy Wheel to give to the pregnant woman at her first antenatal visit for the primary objective of improving accuracy of gestational dating and the secondary objective to increase total antenatal visits, compared to women who did not receive the wheel (Figure 1). After consulting a variety of Malawian health care providers and women, we created the Malawian Pregnancy Wheel based on the months of the year in Chichewa (the local language) and the farming season of Malawi. Since 80% of the Malawian population lives through subsistence farming, we hypothesized that tracking a pregnancy via the farming seasons will help Malawian women conceptualize their accurate gestational age and the timing of the events throughout their pregnancy.8 The outer wheel features a pictorial guide to the seasons corresponding to a 12-month calendar, and the inner wheel features a pictorial guide corresponding to recommended antenatal visits with corresponding treatment and monitoring. Checkboxes above each antenatal visit remind women and their care providers to address appropriate tasks according to gestational age, such as albendazole treatment, intermittent malaria treatment, and regular blood pressure evaluations.
Forty women were eligible for enrollment. One participant in the standard arm was excluded after enrollment when no intrauterine pregnancy was seen on ultrasound. Of the 39 enrolled participants, three patients experienced a miscarriage in the second trimester. Four delivered at outlying hospitals where records were not retrievable. One patient died at delivery, and her record was not for available for review. Six records of patients who delivered at our hospital were missing and could not be located after multiple searches. Finally, one patient was lost to follow-up. At final analysis, 14 subjects were included in the intervention arm and 11 in the standard care arm.Those randomized to the standard antenatal arm and the pregnancy wheel arm were not statistically significantly different in baseline demographics (Table 1). The rate of cesarean delivery was the same in both arms (36%). The mean gestational age for first antenatal visit was similar in both arms (18-21 weeks).
Table 1
Baseline Demographics
Malawian Pregnancy Wheel N = 14
Standard Antenatal Care N = 11
P level
Age
0.10
Mean (SD)
33.1 (6.14)
28.2 (6.63)
-
Median
35
27
-
Parity
0.62
Primiparity Mean (SD)
2 (0.14)
3 (0.27)
-
Multiparity Mean (SD)
12 (0.86)
8 (0.73)
-
GA at enrollment
0.19
Mean (SD)
21.4 (4.11)
18.82 (2.96)
-
Median
22.5
19
-
GA at delivery (based on dating at enrollment)
0.06
Mean (SD)
38.6 (1.45)
39.5 (1.69)
-
Median
38.5
40
-
GA recorded at delivery
0.31
Mean (SD)
38.5 +/- 0.93
39.3 +/- 1.50
-
Median
39
39
-
Mode of delivery
1.0
SVD Mean (SD)
9 (0.64)
7 (0.64)
-
CD Mean (SD)
5 (0.36)
4 (0.36)
-
GA=gestational age (weeks), SVD=spontaneous vaginal delivery, CD=cesarean delivery
Baseline DemographicsGA=gestational age (weeks), SVD=spontaneous vaginal delivery, CD=cesarean delivery
3.2. Accuracy of Gestational Dating
Objective outcomes are listed in Table 2. Fifty percent (n=7) of women in the intervention arm were accurately dated at the time of presentation for delivery, compared to only 9% (n=1) in the standard antenatal care arm (p=0.04). The pregnancy wheel intervention improved dating accuracy by over 5-fold compared to the standard arm, a statistically significant result; but the eleven patients in the standard arm falls short of the twelve calculated to power the study for clinical significance.
Table 2
Accuracy of Dating and Number of Antenatal Visits
Malawian Pregnancy Wheel N = 14
Standard Antenatal Care N = 11
P level
Patients accurately dated, mean (SD)
7 (0.50)
1 (0.09)
0.04
Number of antenatal visits, mean (SD)
4.3 (1.11)
4.7 (1.25)
0.40
Percent meeting WHO recommendations
0
0
N/A
Accuracy of Dating and Number of Antenatal Visits
3.3. Total Number of Antenatal Care Visits
Women in the intervention arm presented for 4.3 (+/- 1.11) antenatal care visits and women in the standard care arm presented for 4.7 (+/- 1.25) visits – no significant difference. No patients in our study met the WHO recommended eight visits for antenatal care.
4. Conclusion and Global Health Implications
The Malawian Pregnancy Wheel demonstrates the potential to improve the accuracy of the determination of gestational age at delivery. It is a simple, tangible, and culturally sensitive indicator for gestational age that both pregnant women and health care providers can refer to throughout the pregnancy. There is an unmet need in Malawi to improve the health literacy of pregnant women to motivate them to seek antenatal care.9,10 The Malawian Pregnancy Wheel has the future potential to fill this need, as women learn to track their pregnancy milestones, learn about necessary antenatal care visits, and recognize that their EDD should not change with subsequent evaluations by providers.In low-resource settings, many women will not have access to ultrasound confirmation of their gestational age at their first antenatal visit. Without access to ultrasound, LMP can be used as a reliable estimation of gestational age, but only during early pregnancy.1 After the first trimester, a recent study comparing methods for gestational age estimation found that a single SFH measurement at 13-25 weeks gestation correlated best with ultrasound estimation.4 Perhaps these techniques, coupled with concrete documentation and tracking with the pregnancy wheel, would improve the accuracy of gestational age dating as the pregnancy progresses in areas where women lack access to ultrasound. In many of the delivery records, no gestational age was recorded anywhere in the chart, although it should have been available in the woman’s standard health passport. This omission indicates a missed opportunity in the standard antenatal and intrapartum care of women, and the pregnancy wheel can offer valuable supplement documentation to improve obstetric care.However, the pregnancy wheel intervention did not increase the number of antenatal visits. Nor did it affect the gestational age at which women presented for their first antenatal care visit. Our finding that no women presented prior to 18 weeks is consistent with a previous study investigating barriers to antenatal care in Malawi, where only one in three women initiated antenatal care before 16 weeks, and only one in two before 20 weeks.6 The problem of late and scant antenatal care is multi-faceted, requiring a complex solution that would address both “socio-cultural factors” and “service delivery factors,” as recently observed by Chimatiro, et al. in their investigation of barriers to antenatal care in Malawi.11 Still, only 46% of Malawian pregnant women reach at least 4 antenatal care visits during their pregnancy.9 A recent commentary suggested that too many challenges remain in Malawi for women to meet the 2016 WHO recommendation of eight antenatal visits, and so four visits remains a more reasonable goal.12The Malawian Pregnancy Wheel can be utilized as low-cost tool to manage obstetric complications. As many pregnancy complications occur in the first and third trimester, access to skilled antenatal care must be improved during these critical times. For example, first trimester care is essential to screen for ectopic pregnancy and medical co-morbidities, and third trimester care is necessary to screen for hypertensive disorders of pregnancy; but none of our cohort presented for care before 18 weeks, and few attended care in the final weeks before delivery. Our sample also included several miscarriages and even a maternal death. Although we did not survey pregnancy complications systematically, we did note that one patient was delivered by cesarean for pre-eclampsia with severe features and one for previous cesarean delivery when labor began. Such complications underscore a need for increased frequency and quality of antenatal care. Therefore, the Malawian Pregnancy Wheel tool would be especially useful in centers offering antenatal care for high-risk pregnancies. Future studies are warranted in order to further understand how to optimally utilize the pregnancy wheel to increase access to antenatal care.Strengths of this study include the low-tech, cost-effective, culturally sensitive solution to a problem with large clinical impact. The Malawian Pregnancy Wheel is a portable tool that does not require electricity or literacy. The wheel could easily be transferred to another low-resource setting. Although this was a small sample as a pilot, the prospective nature of the study is a strength.Limitations include the significant loss to follow-up and lack of access to delivery records. Although we anticipated such challenges in this setting, the extent was larger than we accounted for with our sample size. The significant limitations of record access, loss to follow-up, and maternal mortality should inform the sample size of future studies to account for expected attrition. Although this attrition limited our statistical power, this feasibility trial serves to lay the foundation for larger trials on interventions to improve gestational dating and antenatal care in low-resource settings.Although the Malawian Pregnancy Wheel did not directly impact the initiation or frequency of antenatal care, the observation that no patient in either arm of the study meets the WHO recommended prenatal care reflects a larger problem related to access to and resources for adequate antenatal care. Cultural norms discourage women from reporting pregnancy and presenting for care before 18 weeks gestational age, and a mainstream sentiment that eight visits is not attainable in Malawi persists.11-13The Malawian Pregnancy Wheel may be an effective and inexpensive intervention to improve the accuracy of gestational dating at delivery. A larger randomized controlled trial is warranted, as accurate dating has the potential to greatly improve maternal and neonatal care. While it may help reinforce the need for antenatal services, a larger-scaled intervention is needed to address the complex barriers to adequate antenatal care in low resource settings.► The Malawi Pregnancy Wheel (a customized pregnancy wheel) may be a useful tool in low resource areas with limited access to ultrasound and specialty care.► Although the customized pregnancy wheel did not improve antenatal care attendance in this feasibility trial, it improved gestational age dating accuracy at a central hospital in Lilongwe, Malawi.► Larger interventions to study the effect of a customized pregnancy wheel on improved antenatal care are warranted.
Authors: Joni Roberts; Helen Hopp Marshak; Diadrey-Anne Sealy; Lucinda Manda-Taylor; Ron Mataya; Peter Gleason Journal: Public Health Nurs Date: 2016-01-19 Impact factor: 1.462
Authors: Christopher Pell; Arantza Meñaca; Florence Were; Nana A Afrah; Samuel Chatio; Lucinda Manda-Taylor; Mary J Hamel; Abraham Hodgson; Harry Tagbor; Linda Kalilani; Peter Ouma; Robert Pool Journal: PLoS One Date: 2013-01-15 Impact factor: 3.240