Implementation of an international standardized set of outcome indicators in pregnancy and childbirth in Kenya: Utilizing mobile technology to collect patient-reported outcomes

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Study Justification:
– Limited data on health outcomes during pregnancy and childbirth in low- and middle-income countries
– Pilot study to assess the feasibility of implementing an international standardized set of outcome indicators in pregnancy and childbirth in Nairobi, Kenya
– Utilizing mobile technology to collect patient-reported outcome measures (PROMs) selected from the International Consortium of Health Outcomes Measurement (ICHOM) Pregnancy and Childbirth Standard Set
Study Highlights:
– 204 pregnant women recruited in Nairobi, Kenya
– Mobile surveys used to collect PROMs at three antenatal and two postnatal time points
– Outcomes measured include incontinence, dyspareunia, mental health, breastfeeding, and satisfaction with care
– Data on depression, dyspareunia, fecal and urinary incontinence successfully collected
– 86% of women breastfeed exclusively at six weeks postpartum
– High satisfaction rates with antenatal, delivery, and postnatal care
Study Recommendations:
– Feasibility of using mobile technology to follow women throughout pregnancy and collect PROMs in a low-resource setting
– Potential to identify and address gaps in access and provision of high-quality care to pregnant women
– Further research and implementation of standardized outcome indicators in pregnancy and childbirth in low- and middle-income countries
– Integration of patient-reported outcomes into clinical care for improved patient management and outcomes
Key Role Players:
– Medical experts and stakeholders
– Private and public healthcare sector in Kenya
– PharmAccess Group
– Safaricom and CarePay
– Gertrude’s Children’s Hospital
– Jacaranda Maternity
– Nazareth Hospital
– Patient liaison officers (PLOs)
– Clinicians and administrative staff at pilot facilities
– ICHOM
Cost Items for Planning Recommendations:
– Development and integration of mobile technology platforms (M-TIBA and mSurvey)
– Training for medical staff on data collection, outcome measurements, and value-based healthcare (VBHC)
– Support from ICHOM through site visits, tele-conferences, and evaluation framework
– Cellphone credit for participants to complete surveys
– Data collection and storage by PharmAccess
– Ethical review and approval processes

The strength of evidence for this abstract is 7 out of 10.
The evidence in the abstract is rated 7 because it provides descriptive statistics and outcomes of the pilot study, but lacks information on the study design, sample size calculation, and statistical analysis methods. To improve the evidence, the abstract should include details on the study design, sample size calculation, and statistical analysis methods used. Additionally, it would be helpful to include information on the limitations of the study and future directions for research.

Background Limited data exist on health outcomes during pregnancy and childbirth in low- and middleincome countries. This is a pilot of an innovative data collection tool using mobile technology to collect patient-reported outcome measures (PROMs) selected from the International Consortium of Health Outcomes Measurement (ICHOM) Pregnancy and Childbirth Standard Set in Nairobi, Kenya. Methods Pregnant women in the third trimester were recruited at three primary care facilities in Nairobi and followed prospectively throughout delivery and until six weeks postpartum. PROMs were collected via mobile surveys at three antenatal and two postnatal time points. Outcomes included incontinence, dyspareunia, mental health, breastfeeding and satisfaction with care. Hospitals reported morbidity and mortality. Descriptive statistics on maternal and child outcomes, survey completion and follow-up rates were calculated. Results In six months, 204 women were recruited: 50% of women returned for a second ante-natal care visit, 50% delivered at referral hospitals and 51% completed the postnatal visit. The completion rates for the five PROM surveys were highest at the first antenatal care visit (92%) and lowest in the postnatal care visit (38%). Data on depression, dyspareunia, fecal and urinary incontinence were successfully collected during the antenatal and postnatal period. At six weeks postpartum, 86% of women breastfeed exclusively. Most women that completed the survey were very satisfied with antenatal care (66%), delivery care (51%), and post-natal care (60%). Conclusion We have demonstrated that it is feasible to use mobile technology to follow women throughout pregnancy, track their attendance to pre-natal and post-natal care visits and obtain data on PROM. This study demonstrates the potential of mobile technology to collect PROM in a low-resource setting. The data provide insight into the quality of maternal care services provided and will be used to identify and address gaps in access and provision of high quality care to pregnant women.

This is a pilot study on the feasibility of implementation of the ICHOM Pregnancy and Childbirth (PCB) Standard Set in a prospective cohort of mothers in Nairobi, Kenya using mHealth technology. Focus groups were conducted to adapt the ICHOM PCB Standard Set to the local setting. A mobile wallet M-TIBA and a mobile platform mSurvey were adapted and integrated to collect administrative and PROM data. Administrative and PROM data were collected prospectively. The ICHOM PCB Standard Set collects data from women during pregnancy, delivery, and up to six weeks postpartum, contains hospital-reported data, seven domains within patient-reported outcomes, and a set of case-mix factors[23]. A committee of medical experts and stakeholders reviewed the indicators for implementation based on level of importance, social and cultural acceptability. In the first-round medical research experts from Kenya, Ghana and the Netherlands conducted a feasibility assessment and a preliminary selection of outcome indicators to pilot; considerations included literacy, language spoken, and constraints of using a mobile platform. The selected indicators were presented and finalized in the second round at a workshop in Nairobi to key stakeholders from the private and public Kenyan healthcare sector. When required, licensing was requested for the selected PROM tools (ICIQ-SF, Wexner, PROMIS SFFAC102 and PHQ-2). The timeline for data collection was modified from the original ICHOM timeline which recommends the first survey to be administered during the first trimester, since this is a proof of concept pilot we adapted the timeline to recruit women in the third trimester (Fig 1). The top timeline is recommended by the ICHOM Pregnancy and Childbirth Standard Set and spans from the third month of pregnancy until 6 months postpartum. The revised timeline adapted to the Kenyan context and used in the pilot starts at the 28th week of pregnancy and ends 6 weeks postpartum. The new timeline was adopted in line with the existing patient pathway for maternal health management in Nairobi. The green diamonds represent data collection points that coincide with clinic visits. The M-TIBA mobile wallet was developed by PharmAccess Group in partnership with Safaricom and CarePay as a virtual wallet for healthcare expenses. It contains funds that can only be used for healthcare by selected providers across Kenya. The connected health care providers are all enrolled in the SafeCare program which comprises healthcare standards accredited by the International Society for Quality in Health Care (ISQua) for healthcare providers in LMICs. The M-TIBA platform collects real-time medical and financial data on health care transactions and allows for measurement of administrative outcome indicators. mSurvey is a Nairobi-based start-up that collects consumer data from communities that are difficult to reach; given this capability, it was utilized to collect PROM from women in Nairobi settlements through the mobile phone platform. M-TIBA allowed participants to access healthcare financing thus reducing the financing barriers to care. For this pilot project, M-TIBA and mSurvey were connected through an application-programming interface to link PROMs to administrative data and financial data while ensuring privacy and confidentiality of patients. At each facility, the M-TIBA account is opened upon patient registration, and upon completion of the visit, the closing of the M-TIBA account triggers the delivery of the mSurvey to patients, therefore linking clinical and administrative data from M-TIBA with the ICHOM Set on the mSurvey. Participants had 5 days to complete the questionnaire before receiving an automated reminder. Once the mSurvey was developed, a focus group consisting of 12 women who met inclusion criteria was conducted to test its use as a tool for PROM data collection. Focus group participants received 10 outcome questions via text on their mobile phones in order to test the mobile platform. They were each given 20 minutes to respond to the survey. After which, participants were asked about their experience utilizing the mobile platform. Participants provided feedback that fell into five main themes including: (1) English was a barrier for some participants, (2) for most this was their first experience with mobile surveys, (3) concerns for desirability bias, (4) willingness to participate especially if responses were integrated into clinical care and (5) positive feedback on potential for benefiting from survey with added education and awareness around pregnancy and childbirth. As a result, the need for initial support using the mobile application was identified and patient liaison officers (PLO) were recruited for the enrollment process. PLOs also followed up women who did not present to clinic to reduce bias from loss to follow up. Participating facilities that provide ANC, PNC and/or delivery services were chosen based on their previous enrollment as M-TIBA facilities and participants of PharmAccess’ SafeCare quality improvement program. In total, four pilot facilities were selected; two outreach clinics from Gertrude’s Children’s Hospital (Githogoro and Mathare clinics), and two referral hospitals, Jacaranda Maternity and Nazareth Hospital. The clinics provide approximately 2,000 ANC visits and 1,400 PNC visits per year respectively, they are privately run and are located in informal settlements. Nazareth is a faith-based tertiary hospital with approximately 8,000 deliveries per year and Jacaranda is a specialized private maternity hospital with approximately 5,700 deliveries per year. All facilities are situated in an urban setting and serve low-resource patients in Nairobi. Each pilot facility signed a memorandum of understanding and a site visit was done to conduct process mapping of patient flow and identify optimal timing for PROM and administrative data collection. At Gertrude’s outreach clinics, patients receive ANC throughout pregnancy and are referred to Jacaranda or Nazareth hospital for the last ANC appointment and delivery. The clinicians and administrative staff of the pilot facilities were trained on data collection, each of the outcome measurements, and VBHC. Additional training on mental health was provided as it was identified as a knowledge gap by staff. Throughout the pilot project, ICHOM supported the facilities through site visits, tele-conferences, and a structured framework designed to support each facility in engaging patients and in data collection and evaluation. The goal was to recruit 200 pregnant women during the third trimester anticipating, based on the experience of local clinicians, that approximately half of the women would be lost to follow up Since the goal of this project was to demonstrate feasibility of a protocol to collect patient-reported outcomes via novel methodology in a low-resource setting, no sample size was calculated. Inclusion criteria for participants were 1) presenting at the participating clinics for an ANC visit in their third trimester of pregnancy, 2) having access to a mobile phone and personal M-TIBA account, and 3) having comprehension of written English. Exclusion criteria were not owning a mobile phone, gestational age less than 28 weeks or greater than 35 weeks, limited English literacy or having already received prenatal care. Patient enrollment commenced in July 2017 and continued until January 2018. Patients enrolled did not receive any compensation but were given cellphone credit to complete the surveys. Pregnant women were enrolled by PLO at the Gertrudes clinic and written informed consent was obtained. Through the study, the PLO followed up on incomplete responses, missing surveys, or missed visits with a text message. PLOs received standardized training and followed standard protocols (S1 File). Case mix and PROM questions were included in the surveys that were triggered through M-TIBA and sent through the mSurvey platform (Fig 2). Manual data collected by PLOs on women who discontinued their clinical care at participating facilities were captured. Data were collected and stored by PharmAccess. Data from the different databases were linked through unique identifiers ensuring anonymity of the data. Feedback surveys were sent to patients who missed clinic visits or who did not deliver at facilities. Aggregate data were shared with clinicians at the pilot facilities. Of the administratively collected indicators, domains included survival, neonatal morbidity and treatment variables (Fig 3, S2 File). Patient reported indicators spanned the domains of patient reported health status, mental health, breast feeding, satisfaction with care, obstetrical and medical history and case mix variables (Fig 3, S3, S4 and S5 Files). ICHOM PCB Standard Set domains, indicators and case-mix domains selected for pilot in Nairobi, Kenya. “Yes” indicates selection of the ICHOM indicator for pilot in Kenya. Following the validation of a subset of data from 15 women, descriptive statistics were generated using SAS software, Version 9.4 (Copyright 2013, SAS Institute Inc., Cary, NC, USA). Sociodemographic characteristics were compared across women using ANOVA and Chi-Square tests, as appropriate. This pilot was approved by the Gertrude’s Children’s Hospital Ethics Review Board. Data management and analysis was approved by the Harvard Medical School Institutional Review Board.

The publication describes a pilot study conducted in Nairobi, Kenya, which aimed to implement an international standardized set of outcome indicators in pregnancy and childbirth using mobile technology to collect patient-reported outcome measures (PROMs). The study recruited pregnant women in the third trimester from three primary care facilities in Nairobi and collected PROMs via mobile surveys at various time points during pregnancy and postpartum. The outcomes measured included incontinence, dyspareunia, mental health, breastfeeding, and satisfaction with care. The study demonstrated the feasibility of using mobile technology to collect PROMs in a low-resource setting and provided valuable insights into the quality of maternal care services. The data collected through this innovative approach can be used to improve access to maternal health by identifying areas for improvement and implementing targeted interventions.
AI Innovations Description
The recommendation described in the publication is to implement an international standardized set of outcome indicators in pregnancy and childbirth in Kenya using mobile technology to collect patient-reported outcome measures (PROMs). This pilot study aimed to collect data on health outcomes during pregnancy and childbirth in low- and middle-income countries, specifically in Nairobi, Kenya.

The study recruited pregnant women in the third trimester from three primary care facilities in Nairobi. PROMs were collected via mobile surveys at three antenatal and two postnatal time points. The outcomes measured included incontinence, dyspareunia, mental health, breastfeeding, and satisfaction with care. Hospitals also reported morbidity and mortality data.

The study demonstrated the feasibility of using mobile technology to collect PROMs in a low-resource setting. It provided valuable insights into the quality of maternal care services and identified gaps in access and provision of high-quality care to pregnant women. The data collected through this innovative approach can be used to improve access to maternal health by identifying areas for improvement and implementing targeted interventions.

Overall, the recommendation is to utilize mobile technology and standardized outcome indicators to collect patient-reported data on maternal health outcomes, which can inform decision-making and improve the quality of care provided to pregnant women.
AI Innovations Methodology
To simulate the impact of implementing the recommendations described in the abstract on improving access to maternal health, you can follow these steps:

1. Identify the target population: Determine the specific population you want to focus on, such as pregnant women in low-resource settings in Kenya.

2. Define the outcome indicators: Select a set of outcome indicators that are relevant to maternal health, such as incontinence, dyspareunia, mental health, breastfeeding, and satisfaction with care. These indicators should be standardized and aligned with international guidelines, such as the ICHOM Pregnancy and Childbirth Standard Set.

3. Adapt mobile technology: Develop or adapt a mobile technology platform that can be used to collect patient-reported outcome measures (PROMs) from pregnant women. This platform should be user-friendly, accessible, and compatible with the local context and language.

4. Recruit participants: Identify primary care facilities in Nairobi, Kenya, where pregnant women in the third trimester can be recruited for the study. Ensure that these facilities have the necessary infrastructure and resources to support the implementation of the mobile technology platform.

5. Collect data: Use the mobile technology platform to collect PROMs from the recruited pregnant women at three antenatal and two postnatal time points. Ensure that the data collection process is efficient, secure, and respects patient privacy and confidentiality.

6. Analyze data: Analyze the collected data using appropriate statistical methods to generate descriptive statistics on maternal and child outcomes, survey completion rates, and follow-up rates. This analysis will provide insights into the health outcomes and experiences of pregnant women in the study population.

7. Identify gaps and areas for improvement: Use the analyzed data to identify gaps in access to high-quality maternal care and areas for improvement in the provision of care. This could include identifying barriers to care, gaps in service delivery, or disparities in health outcomes.

8. Implement targeted interventions: Based on the identified gaps and areas for improvement, develop and implement targeted interventions to improve access to maternal health. These interventions could include training healthcare providers, improving infrastructure and resources, enhancing patient education and awareness, or strengthening referral systems.

9. Monitor and evaluate: Continuously monitor and evaluate the impact of the implemented interventions on improving access to maternal health. Collect feedback from pregnant women and healthcare providers to assess the effectiveness of the interventions and make any necessary adjustments.

10. Disseminate findings and scale up: Share the findings of the study and the impact of the implemented interventions with relevant stakeholders, such as policymakers, healthcare providers, and community organizations. Advocate for the scaling up of the mobile technology platform and the standardized outcome indicators to other healthcare facilities and regions in Kenya to further improve access to maternal health.

By following these steps, you can simulate the impact of implementing the recommendations described in the abstract and contribute to improving access to maternal health in low-resource settings in Kenya.

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