Why women choose to to seek facility-level obstetrical care in rural Guatemala: A qualitative study.

OBJECTIVE: The majority of indigenous Guatemalan women give birth at home with traditional birth attendants (TBAs), and maternal mortality rates are high (Ministerio de Salud, 2017). Our objective was to better understand decision-making around whether to remain in the home or to seek facility-level care for obstetric complications. METHODS: This study was a qualitative analysis using semi-structured interviews in a Maya population in the Western Highlands of Guatemala who received prenatal care between April 2017 and December 2018. We used qualitative interviews with women who were identified as medically high-risk and needing facility-level care, offered assistance with acquiring such care, and yet declined this option. Women interviewed were connected to a primary care organization called Maya Health Alliance, through care with TBAs involved in a program utilizing a smartphone-based decision support application to identify maternal and neonatal complications of pregnancy. Interviews were analyzed using Dedoose (www.dedoose.com). Deductive and inductive analysis was performed. RESULTS: Barriers to care included a disagreement between the respondent and TBA about indications for facility care, fear of hospital care, concerns about the quality of hospital care, logistical obstacles, and lack of control; and they were more often described by respondents who had previous healthcare experiences. Therapeutic misalignment occurred more with conditions perceived to be less severe. Participants described a balancing of fears and apprehensions against concerns of low quality and disrespectful maternity care, and in the setting of emergent conditions, disregarded barriers that were often described as inhibiting non-urgent obstetric care. CONCLUSIONS: The decision to engage in medical care in this population of Maya women involves a weighing of the perception of seriousness of the medical complication against fears of facility level care and concerns of a poor quality of care.

Agile Development of a Smartphone App for Perinatal Monitoring in a Resource-Constrained Setting.

Technology provides the potential to empower frontline healthcare workers with low levels of training and literacy, particularly in low- and middle-income countries. An obvious platform for achieving this aim is the smartphone, a low cost, almost ubiquitous device with good supply chain infrastructure and a general cultural acceptance for its use. In particular, the smartphone offers the opportunity to provide augmented or procedural information through active audiovisual aids to illiterate or untrained users, as described in this article. In this article, the process of refinement and iterative design of a smartphone application prototype to support perinatal surveillance in rural Guatemala for indigenous Maya lay midwives with low levels of literacy and technology exposure is described. Following on from a pilot to investigate the feasibility of this system, a two-year project to develop a robust in-field system was initiated, culminating in a randomized controlled trial of the system, which is ongoing. The development required an agile approach, with the development team working both remotely and in country to identify and solve key technical and cultural issues in close collaboration with the midwife end-users. This article describes this process and intermediate results. The application prototype was refined in two phases, with expanding numbers of end-users. Some of the key weaknesses identified in the system during the development cycles were user error when inserting and assembling cables and interacting with the 1-D ultrasound-recording interface, as well as unexpectedly poor bandwidth for data uploads in the central healthcare facility. Safety nets for these issues were developed and the resultant system was well accepted and highly utilized by the end-users. To evaluate the effectiveness of the system after full field deployment, data quality, and corruption over time, as well as general usage of the system and the volume of application support for end-users required by the in-country team was analyzed. Through iterative review of data quality and consistent use of user feedback, the volume and percentage of high quality recordings was increased monthly. Final analysis of the impact of the system on obstetrical referral volume and maternal and neonatal clinical outcomes is pending conclusion of the ongoing clinical trial.