Collecting maternal health information from HIV-positive pregnant women using mobile phone-assisted face-to-face interviews in Southern Africa

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Study Justification:
– Most women living with HIV reside in sub-Saharan Africa
– Obtaining complete and accurate data from rural clinical sites is challenging
– Need to track progress in reducing mother-to-child transmission
– Mobile phones could be a tool for collecting data from pregnant women living with HIV
Study Highlights:
– Mobile phones were found to be acceptable and feasible for collecting maternal and child health data from women living with HIV in South Africa
– Perceived usefulness of mobile phones for data collection was higher than perceived ease of use
– Feasibility of conducting mobile phone-assisted interviews was high, with no significant challenges in network coverage, hardware, software, cost, and secure transmission
Study Recommendations:
– Use mobile phones as a tool for clinic-based face-to-face data collection with pregnant women living with HIV
– Train interviewers on mobile phone-assisted personal interviews (MPAPI)
– Address concerns about privacy and confidentiality by ensuring proper protocols are in place
Key Role Players:
– 16 interviewers trained on MPAPI
– Research assistants conducting interviews with pregnant women
– Coordinators supervising field activities and data quality
Cost Items for Planning Recommendations:
– Training materials and resources for interviewers
– Mobile phones and necessary hardware
– Software and survey application
– Network coverage and data transmission costs
– Supervision and coordination expenses
Please note that the actual cost will depend on various factors and should be determined through proper budget planning.

The strength of evidence for this abstract is 8 out of 10.
The evidence in the abstract is strong because it presents findings from a mixed-methods study that included qualitative data from focus group discussions and quantitative data from questionnaires. The study had a large sample size (n=512) and was conducted over a 21-month period. The acceptability and feasibility of using mobile phones for data collection with HIV-positive pregnant women in South Africa were assessed. The study found that mobile phones were both acceptable and feasible for collecting maternal and child health data. To improve the evidence, future studies could include a control group for comparison and conduct a longer-term follow-up to assess the sustainability of using mobile phones for data collection.

Background: Most of the world’s women living with human immunodeficiency virus (HIV) reside in sub-Saharan Africa. Although efforts to reduce mother-to-child transmission are underway, obtaining complete and accurate data from rural clinical sites to track progress presents a major challenge. Objective: To describe the acceptability and feasibility of mobile phones as a tool for clinic-based face-to-face data collection with pregnant women living with HIV in South Africa. Methods: As part of a larger clinic-based trial, 16 interviewers were trained to conduct mobile phone-assisted personal interviews (MPAPI). These interviewers (participant group 1) completed the same short questionnaire based on items from the Technology Acceptance Model at 3 different time points. Questions were asked before training, after training, and 3 months after deployment to clinic facilities. In addition, before the start of the primary intervention trial in which this substudy was undertaken, 12 mothers living with HIV (MLH) took part in a focus group discussion exploring the acceptability of MPAPI (participant group 2). Finally, a sample of MLH (n=512) enrolled in the primary trial were asked to assess their experience of being interviewed by MPAPI (participant group 3). Results: Acceptability of the method was found to be high among the 16 interviewers in group 1. Perceived usefulness was reported to be slightly higher than perceived ease of use across the 3 time points. After 3 months of field use, interviewer perceptions of both perceived ease of use and perceived usefulness were found to be higher than before training. The feasibility of conducting MPAPI interviews in this setting was found to be high. Network coverage was available in all clinics and hardware, software, cost, and secure transmission to the data center presented no significant challenges over the 21-month period. For the 12 MHL participants in group 2, anxiety about the multimedia capabilities of the phone was evident. Their concern centered on the possibility that their privacy may be invaded by interviewers using the mobile phone camera to photograph them. For participants in group 3, having the interviewer sit beside vs across from the interviewee during the MPAPI interview was received positively by 94.7% of MHL. Privacy (6.3%) and confidentiality (5.3%) concerns were low for group 3 MHL. Conclusions: Mobile phones were found both to be acceptable and feasible in the collection of maternal and child health data from women living with HIV in South Africa.

This study was nested within a larger clinic-based randomized cluster trial known as Project Masihambisane (“let us walk together”; Clinicaltrials.gov {“type”:”clinical-trial”,”attrs”:{“text”:”NCT00972699″,”term_id”:”NCT00972699″}}NCT00972699) [23]. The primary study aimed to improve mental and physical health outcomes of HIV-positive mothers and their babies by supplementing the PMTCT with paraprofessional peer mentors. Using a mixed-methods design, qualitative data from a single, small focus group were supplemented with 2 quantitative questionnaires collected using a mobile phone survey application. Paradata, or data on the data collection process, were gathered in order to examine the feasibility of mobile phone-assisted personal interviewing (MPAPI). The MPAPI survey platform was supplied by Mobenzi Researcher [24], a commercial vendor based in South Africa. The solution offered by Mobenzi includes both a mobile application and a Web portal. The Java Platform Micro Edition (Java ME) application runs on all handsets compliant with mobile information device profile (MIDP) 2.0. It provides full survey functionality, including the ability to create various question types, mark fields as mandatory, and intelligently manage survey branching (Figure 1). The software is now also available for Android handsets. The Java ME application was installed on Nokia E61 handsets. These mobile phones run on the Symbian S60 operating system, have a 2.9-inch thin film transistor screen, 64 megabyte random-access memory (RAM), Bluetooth, Wi-Fi, a QWERTY keyboard, and a 1500 milliamp hour battery. Example of the Mobenzi Researcher application running on a Nokia handset. Once installed, the software was able to communicate, using either Wi-Fi or a cellular data link, with the Mobenzi server. The server provided, for download, the surveys designed using the Web portal (Figure 2). The server also received, stored, and aggregated the surveys completed on the handset (Figures 3-​-5)5) for download as a comma-separated file. Mobenzi offered programmatic access to both surveys and data through an application programming interface (API). Example of Mobenzi Researcher Web portal: survey design. Example of Mobenzi Researcher Web portal: interviewer management. Example of Mobenzi Researcher Web portal: data overview and export. If no data connection was available at the time of survey completion, the response was saved on the handset until a connection was re-established. The MTN mobile network was used to upload survey responses from the handset to server. Figure 6 depicts a typical example of a fieldworker conducting a mobile phone–assisted personal interview outside a primary health care facility. Example of Mobenzi Researcher in field use. Example of Mobenzi Researcher Web portal: charting and analytics. Three groups of participants took part in this study. The first group of participants (participant group 1) included the 16 interviewers recruited and trained on MPAPI for the primary study. Although these participants were all familiar with pen-and-paper questionnaires, none had ever used MPAPI. Before receiving any training on MPAPI, the group were asked to complete a short questionnaire with items from the Technology Acceptance Model proposed by Davis [25]. The scale contains 12 items, 6 relating to the perceived usefulness of mobile phones for research purposes and 6 related to the perceived ease of their use (Table 1). Each item was rated on a 5-point Likert-type scale ranging from extremely likely to extremely unlikely. Following 3 days of training, a posttraining assessment was conducted using the same questionnaire. After completing training, the interviewers were dispatched to 8 primary health care clinics in a rural district typical of those found in the region where the interviewers were originally interviewing pregnant women living with HIV for the primary study. After 3 months, the questionnaire was administered for a third time to gauge if use of the phone in the field had altered perceptions and attitudes toward the tool. Technology Acceptance Model scale. The second group (participant group 2), recruited for participation in the focus group, consisted of 12 pregnant women with HIV living in this region of South Africa who were enrolled through community forums set up for the larger study. Before the focus group was held, each woman was interviewed by a research assistant using a mobile phone. The questions asked ranged from general health questions about the participants’ knowledge of HIV to more sensitive questions about recent sexual activity, condom use, and disclosure of HIV status to their partners. After completing the questionnaire, the group was brought together to participate in a focus group about their experience. Five questions were designed to facilitate the discussion about general mobile phone ownership and their reactions to the interview conducted by mobile phone. The focus group lasted for an hour with extensive notes being taken about responses. The third group of participants (participant group 3) were pregnant women living with HIV recruited through the primary study. Participants were recruited in the Umgungundlovu Health District of KwaZulu-Natal, a province in South Africa with 10 million people, over half (57%) living in rural areas. The Umgungundlovu District includes 7 local authorities, has 48 fixed clinics, 4 community health centers, 9 tertiary hospitals, and an estimated population of some 995,000 persons according to a 2007 estimate [26]. From this district, 8 clinics were selected through a clinic audit conducted in December 2007. The selection criteria, applied to all potential clinics in the district during the audit, were presence of other research trials, clinic size, availability of antenatal and postnatal services, and uptake of antenatal and postnatal services at the clinic. The clinic audit resulted in the selection of 4 pairs of clinics for the study, matched on size (small vs large) and geography (rural vs urban). Women who met the eligibility criteria of being 18 years or older, less than 34 weeks pregnant, and planning to reside in the study area for the duration of their pregnancy were invited to participate in the primary study. If they accepted, a baseline health questionnaire was completed by an interviewer using a mobile phone survey application. Using a cross-sectional design and a continuous sampling strategy that started approximately halfway through the primary study, 512 of the 1204 women enrolled into the primary study were recruited to participate in this substudy. This cross-section of women completed a second questionnaire, again using MPAPI, in which they were asked to describe their views about the mobile phone survey. A thematic analysis was performed on the qualitative data generated by focus group discussions. This data was supplemented with exploratory data analysis techniques, such as frequency analysis and chi-square (χ2) statistics, performed on the quantitative questionnaire data. Univariate analysis was used to analyze perceived ease of use and perceived usefulness scale data. Data was downloaded as comma-separated values from the online Mobile Research database. This comma-separated values file was then imported into SPSS 19 (IBM Corp, Armonk, NY, USA). A team of 16 data collectors administered the questionnaire and 2 coordinators employed by the primary trial supervised all aspects of the study in the field. The coordinators’ role included managing informed consent, supporting field activities, and monitoring data quality through quality assurance checks and ongoing training and supervision of interviewers. Ethical approval for the study was obtained from the Committee for Research on Human Subjects (Medical) Witwatersrand Human Ethics Committee (M091035). A study information sheet was presented to all participants and the study was explained in detail before participants signed a form giving written consent to participate.

One innovation that can improve access to maternal health is the use of mobile phones for clinic-based face-to-face data collection with pregnant women living with HIV in South Africa. This innovation involves training interviewers to conduct mobile phone-assisted personal interviews (MPAPI) using a mobile phone survey application. The acceptability and feasibility of this method were found to be high, with network coverage available in all clinics and no significant challenges in terms of hardware, software, cost, and secure transmission to the data center. Privacy and confidentiality concerns were addressed by having the interviewer sit beside the interviewee during the MPAPI interview. This innovation allows for the collection of complete and accurate data from rural clinical sites, helping to track progress in reducing mother-to-child transmission of HIV.
AI Innovations Description
The recommendation based on the study is to use mobile phone-assisted face-to-face interviews to collect maternal health information from HIV-positive pregnant women in Southern Africa. This method was found to be acceptable and feasible in the study, with high acceptability among the interviewers and positive feedback from the participants. The mobile phone survey application used in the study allowed for easy data collection and secure transmission to the data center. The use of mobile phones for data collection can help overcome the challenge of obtaining complete and accurate data from rural clinical sites, thus improving access to maternal health information.
AI Innovations Methodology
The innovation described in the study is the use of mobile phones for clinic-based face-to-face data collection with pregnant women living with HIV in South Africa. This innovation aims to improve access to maternal health information by providing a convenient and efficient method for collecting data from rural clinical sites.

To simulate the impact of this innovation on improving access to maternal health, a methodology could be developed as follows:

1. Define the research question: The research question could be focused on assessing the acceptability and feasibility of using mobile phones for data collection with pregnant women living with HIV in South Africa.

2. Study design: A mixed-methods design could be used, combining qualitative data from focus group discussions with quantitative data from questionnaires collected using the mobile phone survey application.

3. Participant recruitment: Participants could be recruited from the target population of pregnant women living with HIV in South Africa. The sample size should be determined based on statistical power calculations.

4. Training and data collection: Interviewers would need to be trained on how to conduct mobile phone-assisted personal interviews (MPAPI). The mobile phone survey application would be used to collect data from the participants. Data collectors would administer the questionnaire, and coordinators would supervise the field activities and ensure data quality.

5. Data analysis: Qualitative data from the focus group discussions could be analyzed using thematic analysis techniques. Quantitative data from the questionnaires could be analyzed using exploratory data analysis techniques, such as frequency analysis and chi-square statistics. Univariate analysis could be used to analyze the perceived ease of use and perceived usefulness scale data.

6. Ethical considerations: Ethical approval should be obtained from the relevant ethics committee before conducting the study. Informed consent should be obtained from all participants, and their privacy and confidentiality should be protected.

By following this methodology, researchers can assess the impact of using mobile phones for data collection on improving access to maternal health information. The findings can inform future interventions and policies aimed at improving maternal health outcomes for women living with HIV in South Africa.

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