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      Developing Content for a mHealth Intervention to Promote Postpartum Retention in Prevention of Mother-To-Child HIV Transmission Programs and Early Infant Diagnosis of HIV: A Qualitative Study

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          Abstract

          Background

          Maternal attendance at postnatal clinic visits and timely diagnosis of infant HIV infection are important steps for prevention of mother-to-child transmission (PMTCT) of HIV. We aimed to use theory-informed methods to develop text messages targeted at facilitating these steps.

          Methods

          We conducted five focus group discussions with health workers and women attending antenatal, postnatal, and PMTCT clinics to explore aspects of women's engagement in postnatal HIV care and infant testing. Discussion topics were informed by constructs of the Health Belief Model (HBM) and prior empirical research. Qualitative data were coded and analyzed according to the construct of the HBM to which they related. Themes were extracted and used to draft intervention messages. We carried out two stages of further messaging development: messages were presented in a follow-up focus group in order to develop optimal phrasing in local languages. We then further refined the messages, pretested them in individual cognitive interviews with selected health workers, and finalized the messages for the intervention.

          Results

          Findings indicated that brief, personalized, caring, polite, encouraging, and educational text messages would facilitate women bringing their children to clinic after delivery, suggesting that text messages may serve as an important “cue to action.” Participants emphasized that messages should not mention HIV due to fear of HIV testing and disclosure. Participants also noted that text messages could capitalize on women's motivation to attend clinic for childhood immunizations.

          Conclusions

          Applying a multi-stage content development approach to crafting text messages – informed by behavioral theory – resulted in message content that was consistent across different focus groups. This approach could help answer “why” and “how” text messaging may be a useful tool to support maternal and child health. We are evaluating the effect of these messages on improving postpartum PMTCT retention and infant HIV testing in a randomized trial.

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          Most cited references12

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          The Health Belief Model: a decade later.

          Since the last comprehensive review in 1974, the Health Belief Model (HBM) has continued to be the focus of considerable theoretical and research attention. This article presents a critical review of 29 HBM-related investigations published during the period of 1974-1984, tabulates the findings from 17 studies conducted prior to 1974, and provides a summary of the total 46 HBM studies (18 prospective, 28 retrospective). Twenty-four studies examined preventive-health behaviors (PHB), 19 explored sick-role behaviors (SRB), and three addressed clinic utilization. A "significance ratio" was constructed which divides the number of positive, statistically-significant findings for an HBM dimension by the total number of studies reporting significance levels for that dimension. Summary results provide substantial empirical support for the HBM, with findings from prospective studies at least as favorable as those obtained from retrospective research. "Perceived barriers" proved to be the most powerful of the HBM dimensions across the various study designs and behaviors. While both were important overall, "perceived susceptibility" was a stronger contributor to understanding PHB than SRB, while the reverse was true for "perceived benefits." "Perceived severity" produced the lowest overall significance ratios; however, while only weakly associated with PHB, this dimension was strongly related to SRB. On the basis of the evidence compiled, it is recommended that consideration of HBM dimensions be a part of health education programming. Suggestions are offered for further research.
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            Social learning theory and the Health Belief Model.

            The Health Belief Model, social learning theory (recently relabelled social cognitive theory), self-efficacy, and locus of control have all been applied with varying success to problems of explaining, predicting, and influencing behavior. Yet, there is conceptual confusion among researchers and practitioners about the interrelationships of these theories and variables. This article attempts to show how these explanatory factors may be related, and in so doing, posits a revised explanatory model which incorporates self-efficacy into the Health Belief Model. Specifically, self-efficacy is proposed as a separate independent variable along with the traditional health belief variables of perceived susceptibility, severity, benefits, and barriers. Incentive to behave (health motivation) is also a component of the model. Locus of control is not included explicitly because it is believed to be incorporated within other elements of the model. It is predicted that the new formulation will more fully account for health-related behavior than did earlier formulations, and will suggest more effective behavioral interventions than have hitherto been available to health educators.
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              HIV/AIDS Stigma and Refusal of HIV Testing Among Pregnant Women in Rural Kenya: Results from the MAMAS Study

              HIV/AIDS stigma is a common thread in the narratives of pregnant women affected by HIV/AIDS globally and may be associated with refusal of HIV testing. We conducted a cross-sectional study of women attending antenatal clinics in Kenya (N = 1525). Women completed an interview with measures of HIV/AIDS stigma and subsequently information on their acceptance of HIV testing was obtained from medical records. Associations of stigma measures with HIV testing refusal were examined using multivariate logistic regression. Rates of anticipated HIV/AIDS stigma were high—32% anticipated break-up of their relationship, and 45% anticipated losing their friends. Women who anticipated male partner stigma were more than twice as likely to refuse HIV testing, after adjusting for other individual-level predictors (OR = 2.10, 95% CI: 1.15–3.85). This study demonstrated quantitatively that anticipations of HIV/AIDS stigma can be barriers to acceptance of HIV testing by pregnant women and highlights the need to develop interventions that address pregnant women’s fears of HIV/AIDS stigma and violence from male partners.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2014
                2 September 2014
                : 9
                : 9
                : e106383
                Affiliations
                [1 ]Center for Microbiology Research, Kenya Medical Research Institute, Nairobi, Kenya
                [2 ]Department of Epidemiology, University of Washington, Seattle, Washington, United States of America
                [3 ]School of Medicine, University of Washington, Seattle, Washington, United States of America
                [4 ]Department of Global Health, University of Washington, Seattle, Washington, United States of America
                [5 ]Department of Obstetrics and Gynecology, University of Washington, Seattle, Washington, United States of America
                [6 ]Department of Medicine, University of Washington, Seattle, Washington, United States of America
                [7 ]Institute of Tropical and Infectious Diseases, University of Nairobi, Nairobi, Kenya
                [8 ]Department of Obstetrics, Gynecology and Reproductive Sciences, University of California San Francisco, San Francisco, California, United States of America
                [9 ]Center for AIDS Prevention Studies, University of California San Francisco, San Francisco, California, United States of America
                UCL Institute of Child Health, University College London, United Kingdom
                Author notes

                Competing Interests: Craig R. Cohen declares the following: Financial competing interests include but are not limited to: Paid employment or consultancy: Dr. Cohen served as a paid consultant for CerMed Inc. to help them develop a barrier contraceptive/HIV prevention device. This consultancy ended in 2012. Research grants (from any source, restricted or unrestricted): Dr. Cohen has active grants from the US NIH, CDC, and Bill & Melinda Gates Foundation. Travel grants and honoraria for speaking or participation at meetings: Dr. Cohen received a travel grant to consult with Gynuity on a study they conducted to investigate infections following medical abortion in the US. Non-financial Professional interests: Acting as an expert witness: Dr. Cohen has served as an expert witness on a case in New York City involving a malpractice suit of a woman who died after delivery due to infectious complications. Membership in a government or other advisory board: Dr. Cohen was a non-paid consultant on a WHO panel to assess the risk of hormonal contraception and HIV acquisition in women. All other authors have declared that no competing interests exist. This does not alter the authors' adherence to PLOS ONE policies on sharing data and materials.

                Conceived and designed the experiments: TAO EAB RSM CRC CSC. Performed the experiments: TAO MN RSM CSC. Analyzed the data: TAO MN RSM CSC. Contributed reagents/materials/analysis tools: TAO EAB CRC. Contributed to the writing of the manuscript: TAO MN EAB RSM CRC CSC. Conceptualized, designed, interpreted results: TAO EAB RSM CRC CSC. Collected and analyzed data: TAO MN RSM CSC. Drafted manuscript or revised it critically for important intellectual content: TAO MN EAB RSM CRC CSC. Read and approved the final manuscript: TAO MN EAB RSM CRC CSC.

                Article
                PONE-D-14-11486
                10.1371/journal.pone.0106383
                4152282
                25181408
                162156e3-9b77-4cc0-9c66-cc82498f0894
                Copyright @ 2014

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 25 March 2014
                : 30 July 2014
                Page count
                Pages: 10
                Funding
                This work was supported by the National Institutes of Health Office of the Director, Fogarty International Center, Office of AIDS Research, National Cancer Center, National Eye Institute, National Heart, Blood, and Lung Institute, National Institute of Dental and Craniofacial Research, National Institute on Drug Abuse, National Institute of Mental Health, National Institute of Allergy and Infectious Diseases, and National Institutes of Health Office of Women's Health and Research through the Fogarty International Clinical Research Scholars and Fellows Program at Vanderbilt University (R24 TW007988) and the American Relief and Recovery Act. TAO was a Fogarty International Clinical Research Fellow. CSC was supported by a Research Scientist Development Award from the National Institute of Mental Health (K01MH093205). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Medicine and health sciences
                Infectious diseases
                Viral diseases
                AIDS
                HIV infections
                Public and occupational health
                Preventive medicine
                HIV prevention
                Global Health
                Women's Health
                Maternal Health
                Antenatal Care
                Custom metadata
                The authors confirm that all data underlying the findings are fully available without restriction. All relevant data are within the paper and its Supporting Information files.

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