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Published in: BMC Medical Informatics and Decision Making 1/2020

01-12-2020 | Care | Research article

Development of a targeted client communication intervention to women using an electronic maternal and child health registry: a qualitative study

Authors: Binyam Bogale, Kjersti Mørkrid, Brian O’Donnell, Buthaina Ghanem, Itimad Abu Ward, Khadija Abu Khader, Mervett Isbeih, Michael Frost, Mohammad Baniode, Taghreed Hijaz, Tamara Awwad, Yousef Rabah, J. Frederik Frøen

Published in: BMC Medical Informatics and Decision Making | Issue 1/2020

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Abstract

Background

Targeted client communication (TCC) using text messages can inform, motivate and remind pregnant and postpartum women of timely utilization of care. The mixed results of the effectiveness of TCC interventions points to the importance of theory based interventions that are co-design with users. The aim of this paper is to describe the planning, development, and evaluation of a theory led TCC intervention, tailored to pregnant and postpartum women and automated from the Palestinian electronic maternal and child health registry.

Methods

We used the Health Belief Model to develop interview guides to explore women’s perceptions of antenatal care (ANC), with a focus on high-risk pregnancy conditions (anemia, hypertensive disorders in pregnancy, gestational diabetes mellitus, and fetal growth restriction), and untimely ANC attendance, issues predefined by a national expert panel as being of high interest. We performed 18 in-depth interviews with women, and eight with healthcare providers in public primary healthcare clinics in the West Bank and Gaza. Grounding on the results of the in-depth interviews, we used concepts from the Model of Actionable Feedback, social nudging and Enhanced Active Choice to compose the TCC content to be sent as text messages. We assessed the acceptability and understandability of the draft text messages through unstructured interviews with local health promotion experts, healthcare providers, and pregnant women.

Results

We found low awareness of the importance of timely attendance to ANC, and the benefits of ANC for pregnancy outcomes. We identified knowledge gaps and beliefs in the domains of low awareness of susceptibility to, and severity of, anemia, hypertension, and diabetes complications in pregnancy. To increase the utilization of ANC and bridge the identified gaps, we iteratively composed actionable text messages with users, using recommended message framing models. We developed algorithms to trigger tailored text messages with higher intensity for women with a higher risk profile documented in the electronic health registry.

Conclusions

We developed an optimized TCC intervention underpinned by behavior change theory and concepts, and co-designed with users following an iterative process. The electronic maternal and child health registry can serve as a unique platform for TCC interventions using text messages.
Appendix
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Literature
1.
go back to reference Kreps GL, Neuhauser L. New directions in eHealth communication: opportunities and challenges. Patient Educ Couns. 2010;78(3):329–36.CrossRef Kreps GL, Neuhauser L. New directions in eHealth communication: opportunities and challenges. Patient Educ Couns. 2010;78(3):329–36.CrossRef
2.
go back to reference Mahmud AJ, Olander E, Eriksén S, Haglund BJA. Health communication in primary health care -a case study of ICT development for health promotion. BMC Med Inform Decis Mak. 2013;13:17.CrossRef Mahmud AJ, Olander E, Eriksén S, Haglund BJA. Health communication in primary health care -a case study of ICT development for health promotion. BMC Med Inform Decis Mak. 2013;13:17.CrossRef
4.
go back to reference Labrique AB, Vasudevan L, Kochi E, Fabricant R, Mehl G. mHealth innovations as health system strengthening tools: 12 common applications and a visual framework. Glob Health Sci Pract. 2013;1(2):160–71.CrossRef Labrique AB, Vasudevan L, Kochi E, Fabricant R, Mehl G. mHealth innovations as health system strengthening tools: 12 common applications and a visual framework. Glob Health Sci Pract. 2013;1(2):160–71.CrossRef
5.
go back to reference Mehl G, Labrique A. Prioritizing integrated mHealth strategies for universal health coverage. Science. 2014;345(6202):1284–7.CrossRef Mehl G, Labrique A. Prioritizing integrated mHealth strategies for universal health coverage. Science. 2014;345(6202):1284–7.CrossRef
6.
go back to reference Fjeldsoe BS, Marshall AL, Miller YD. Behavior change interventions delivered by mobile telephone short-message service. Am J Prev Med. 2009;36(2):165–73.CrossRef Fjeldsoe BS, Marshall AL, Miller YD. Behavior change interventions delivered by mobile telephone short-message service. Am J Prev Med. 2009;36(2):165–73.CrossRef
7.
go back to reference Chen H, Chai Y, Dong L, Niu W, Zhang P. Effectiveness and appropriateness of mHealth interventions for maternal and child health: systematic review. JMIR mHealth uHealth. 2018;6(1):e7.CrossRef Chen H, Chai Y, Dong L, Niu W, Zhang P. Effectiveness and appropriateness of mHealth interventions for maternal and child health: systematic review. JMIR mHealth uHealth. 2018;6(1):e7.CrossRef
8.
go back to reference Sondaal SF, Browne JL, Amoakoh-Coleman M, Borgstein A, Miltenburg AS, Verwijs M, Klipstein-Grobusch K. Assessing the effect of mHealth interventions in improving maternal and neonatal Care in low- and Middle-Income Countries: a systematic review. PLoS One. 2016;11(5):e0154664.CrossRef Sondaal SF, Browne JL, Amoakoh-Coleman M, Borgstein A, Miltenburg AS, Verwijs M, Klipstein-Grobusch K. Assessing the effect of mHealth interventions in improving maternal and neonatal Care in low- and Middle-Income Countries: a systematic review. PLoS One. 2016;11(5):e0154664.CrossRef
9.
go back to reference Cole-Lewis H, Kershaw T. Text messaging as a tool for behavior change in disease prevention and management. Epidemiol Rev. 2010;32:56–69.CrossRef Cole-Lewis H, Kershaw T. Text messaging as a tool for behavior change in disease prevention and management. Epidemiol Rev. 2010;32:56–69.CrossRef
10.
go back to reference Agarwal S, Vasudevan L, Tamrat T, Glenton C, Lewin S, Bergman H, Henschke N, Mehl GL, Fønhus MS. Digital tracking, provider decision support systems, and targeted client communication via mobile devices to improve primary health care. Cochrane Database Syst Rev. 2018;1. Agarwal S, Vasudevan L, Tamrat T, Glenton C, Lewin S, Bergman H, Henschke N, Mehl GL, Fønhus MS. Digital tracking, provider decision support systems, and targeted client communication via mobile devices to improve primary health care. Cochrane Database Syst Rev. 2018;1.
11.
go back to reference Keller PA, Harlam B, Loewenstein G, Volpp KG. Enhanced active choice: a new method to motivate behavior change. J Consum Psychol. 2011;21(4):376–83.CrossRef Keller PA, Harlam B, Loewenstein G, Volpp KG. Enhanced active choice: a new method to motivate behavior change. J Consum Psychol. 2011;21(4):376–83.CrossRef
12.
go back to reference Free C, Phillips G, Watson L, Galli L, Felix L, Edwards P. The effectiveness of mobile-health technologies to improve health care service delivery processes: a systematic review and meta-analysis. PLoS Med. 2013;10.CrossRef Free C, Phillips G, Watson L, Galli L, Felix L, Edwards P. The effectiveness of mobile-health technologies to improve health care service delivery processes: a systematic review and meta-analysis. PLoS Med. 2013;10.CrossRef
13.
go back to reference Gurman TA, Rubin SE, Roess AA. Effectiveness of mHealth behavior change communication interventions in developing countries: a systematic review of the literature. J Health Commun. 2012;17(Suppl 1):82–104.CrossRef Gurman TA, Rubin SE, Roess AA. Effectiveness of mHealth behavior change communication interventions in developing countries: a systematic review of the literature. J Health Commun. 2012;17(Suppl 1):82–104.CrossRef
14.
go back to reference Lee SH, Nurmatov UB, Nwaru BI, Mukherjee M, Grant L, Pagliari C. Effectiveness of mHealth interventions for maternal, newborn and child health in low- and middle-income countries: systematic review and meta-analysis. J Glob Health. 2016;6(1):010401.CrossRef Lee SH, Nurmatov UB, Nwaru BI, Mukherjee M, Grant L, Pagliari C. Effectiveness of mHealth interventions for maternal, newborn and child health in low- and middle-income countries: systematic review and meta-analysis. J Glob Health. 2016;6(1):010401.CrossRef
15.
go back to reference Lund S, Nielsen BB, Hemed M, Boas IM, Said A, Said K, Makungu MH, Rasch V. Mobile phones improve antenatal care attendance in Zanzibar: a cluster randomized controlled trial. BMC Pregnancy Childbirth. 2014;14:29.CrossRef Lund S, Nielsen BB, Hemed M, Boas IM, Said A, Said K, Makungu MH, Rasch V. Mobile phones improve antenatal care attendance in Zanzibar: a cluster randomized controlled trial. BMC Pregnancy Childbirth. 2014;14:29.CrossRef
16.
go back to reference Noordam AC, Kuepper BM, Stekelenburg J, Milen A. Improvement of maternal health services through the use of mobile phones. TM & IH. 2011;16(5):622–6.CrossRef Noordam AC, Kuepper BM, Stekelenburg J, Milen A. Improvement of maternal health services through the use of mobile phones. TM & IH. 2011;16(5):622–6.CrossRef
17.
go back to reference Marcolino MS, Oliveira JAQ, D'Agostino M, Ribeiro AL, Alkmim MBM, Novillo-Ortiz D. The impact of mHealth interventions: systematic review of systematic reviews. JMIR mHealth and uHealth. 2018;6(1):e23.CrossRef Marcolino MS, Oliveira JAQ, D'Agostino M, Ribeiro AL, Alkmim MBM, Novillo-Ortiz D. The impact of mHealth interventions: systematic review of systematic reviews. JMIR mHealth and uHealth. 2018;6(1):e23.CrossRef
18.
go back to reference Gurol-Urganci I, de Jongh T, Vodopivec-Jamsek V, Atun R, Car J. Mobile phone messaging reminders for attendance at healthcare appointments. Cochrane Database Syst Rev. 2013;12. Gurol-Urganci I, de Jongh T, Vodopivec-Jamsek V, Atun R, Car J. Mobile phone messaging reminders for attendance at healthcare appointments. Cochrane Database Syst Rev. 2013;12.
19.
go back to reference Norman GJ. Answering the "what works?" Question in health behavior change. Am J Prev Med. 2008;34(5):449–50.CrossRef Norman GJ. Answering the "what works?" Question in health behavior change. Am J Prev Med. 2008;34(5):449–50.CrossRef
20.
go back to reference Tomlinson M, Rotheram-Borus MJ, Swartz L, Tsai AC. Scaling up mHealth: where is the evidence? PLoS Med. 2013;10(2):e1001382.CrossRef Tomlinson M, Rotheram-Borus MJ, Swartz L, Tsai AC. Scaling up mHealth: where is the evidence? PLoS Med. 2013;10(2):e1001382.CrossRef
21.
go back to reference Moller AC, Merchant G, Conroy DE, West R, Hekler E, Kugler KC, Michie S. Applying and advancing behavior change theories and techniques in the context of a digital health revolution: proposals for more effectively realizing untapped potential. J Behav Med. 2017;40(1):85–98.CrossRef Moller AC, Merchant G, Conroy DE, West R, Hekler E, Kugler KC, Michie S. Applying and advancing behavior change theories and techniques in the context of a digital health revolution: proposals for more effectively realizing untapped potential. J Behav Med. 2017;40(1):85–98.CrossRef
22.
go back to reference Cho YM, Lee S, Islam SMS, Kim SY. Theories applied to m-health interventions for behavior change in low- and middle-income countries: a systematic review. Telemed J E Health. 2018;24(10):727–41.CrossRef Cho YM, Lee S, Islam SMS, Kim SY. Theories applied to m-health interventions for behavior change in low- and middle-income countries: a systematic review. Telemed J E Health. 2018;24(10):727–41.CrossRef
23.
go back to reference Maar MA, Yeates K, Toth Z, Barron M, Boesch L, Hua-Stewart D, Liu P, Perkins N, Sleeth J, Wabano MJ, et al. Unpacking the black box: a formative research approach to the development of theory-driven, evidence-based, and culturally safe text messages in Mobile health interventions. JMIR mHealth uHealth. 2016;4(1):e10.CrossRef Maar MA, Yeates K, Toth Z, Barron M, Boesch L, Hua-Stewart D, Liu P, Perkins N, Sleeth J, Wabano MJ, et al. Unpacking the black box: a formative research approach to the development of theory-driven, evidence-based, and culturally safe text messages in Mobile health interventions. JMIR mHealth uHealth. 2016;4(1):e10.CrossRef
24.
go back to reference Rosenstock IM. Historical origins of the health belief model. Health Educ Monogr. 1974;2(4):328–35.CrossRef Rosenstock IM. Historical origins of the health belief model. Health Educ Monogr. 1974;2(4):328–35.CrossRef
26.
go back to reference Frøen JF, Myhre SL, Frost MJ, Chou D, Mehl G, Say L, Cheng S, Fjeldheim I, Friberg IK, French S, et al. eRegistries: electronic registries for maternal and child health. BMC Pregnancy Childbirth. 2016;16(1):1–15.CrossRef Frøen JF, Myhre SL, Frost MJ, Chou D, Mehl G, Say L, Cheng S, Fjeldheim I, Friberg IK, French S, et al. eRegistries: electronic registries for maternal and child health. BMC Pregnancy Childbirth. 2016;16(1):1–15.CrossRef
27.
go back to reference Venkateswaran M, Morkrid K, Ghanem B, Abbas E, Abuward I, Baniode M, Norheim OF, Froen JF. eRegQual-an electronic health registry with interactive checklists and clinical decision support for improving quality of antenatal care: study protocol for a cluster randomized trial. Trials. 2018;19(1):54.CrossRef Venkateswaran M, Morkrid K, Ghanem B, Abbas E, Abuward I, Baniode M, Norheim OF, Froen JF. eRegQual-an electronic health registry with interactive checklists and clinical decision support for improving quality of antenatal care: study protocol for a cluster randomized trial. Trials. 2018;19(1):54.CrossRef
28.
go back to reference Abroms LC, Whittaker R, Free C, Mendel Van Alstyne J, Schindler-Ruwisch JM. Developing and pretesting a text messaging program for health behavior change: recommended steps. JMIR mHealth uHealth. 2015;3(4):e107.CrossRef Abroms LC, Whittaker R, Free C, Mendel Van Alstyne J, Schindler-Ruwisch JM. Developing and pretesting a text messaging program for health behavior change: recommended steps. JMIR mHealth uHealth. 2015;3(4):e107.CrossRef
29.
go back to reference Ng M, Fullman N, Dieleman JL, Flaxman AD, Murray CJL, Lim SS. Effective coverage: a metric for monitoring universal health coverage. PLoS Med. 2014;11(9):e1001730.CrossRef Ng M, Fullman N, Dieleman JL, Flaxman AD, Murray CJL, Lim SS. Effective coverage: a metric for monitoring universal health coverage. PLoS Med. 2014;11(9):e1001730.CrossRef
30.
go back to reference Venkateswaran M, Bogale B, Abu Khader K, Awwad T, Friberg IK, Ghanem B, Hijaz T, Mørkrid K, Frøen JF. Effective coverage of essential antenatal care interventions: a cross-sectional study of public primary healthcare clinics in the West Bank. PLoS One. 2019;14(2):e0212635.CrossRef Venkateswaran M, Bogale B, Abu Khader K, Awwad T, Friberg IK, Ghanem B, Hijaz T, Mørkrid K, Frøen JF. Effective coverage of essential antenatal care interventions: a cross-sectional study of public primary healthcare clinics in the West Bank. PLoS One. 2019;14(2):e0212635.CrossRef
31.
go back to reference Agarwal S, LeFevre AE, Lee J, L’Engle K, Mehl G, Sinha C, Labrique A. Guidelines for reporting of health interventions using mobile phones: mobile health (mHealth) evidence reporting and assessment (mERA) checklist. BMJ. 2016;352. Agarwal S, LeFevre AE, Lee J, L’Engle K, Mehl G, Sinha C, Labrique A. Guidelines for reporting of health interventions using mobile phones: mobile health (mHealth) evidence reporting and assessment (mERA) checklist. BMJ. 2016;352.
32.
go back to reference Hoffmann TC, Glasziou PP, Boutron I, Milne R, Perera R, Moher D, Altman DG, Barbour V, Macdonald H, Johnston M, et al. Better reporting of interventions: template for intervention description and replication (TIDieR) checklist and guide. BMJ. 2014;348.CrossRef Hoffmann TC, Glasziou PP, Boutron I, Milne R, Perera R, Moher D, Altman DG, Barbour V, Macdonald H, Johnston M, et al. Better reporting of interventions: template for intervention description and replication (TIDieR) checklist and guide. BMJ. 2014;348.CrossRef
33.
go back to reference Ministry of Health (Palestine). Palestine Health Status Annual Report 2016. Nablus, Palestine: Ministry of Health (Palestine), 2016. Ministry of Health (Palestine). Palestine Health Status Annual Report 2016. Nablus, Palestine: Ministry of Health (Palestine), 2016.
34.
go back to reference Ministry of Health (Palestine). ANC guideline In. Minstry of Health, Ramallah, Palestine. (unpublished document). Ministry of Health (Palestine). ANC guideline In. Minstry of Health, Ramallah, Palestine. (unpublished document).
36.
go back to reference Hysong SJ, Best RG, Pugh JA. Audit and feedback and clinical practice guideline adherence: making feedback actionable. Implement Sci. 2006;1:9–9.CrossRef Hysong SJ, Best RG, Pugh JA. Audit and feedback and clinical practice guideline adherence: making feedback actionable. Implement Sci. 2006;1:9–9.CrossRef
38.
go back to reference Downe S, Finlayson K, Tuncalp O, Gulmezoglu AM. Provision and uptake of routine antenatal services: a qualitative evidence synthesis. Cochrane Database Syst Rev. 2019;6:Cd012392.PubMed Downe S, Finlayson K, Tuncalp O, Gulmezoglu AM. Provision and uptake of routine antenatal services: a qualitative evidence synthesis. Cochrane Database Syst Rev. 2019;6:Cd012392.PubMed
39.
go back to reference Finlayson K, Downe S. Why do women not use antenatal Services in low- and Middle-Income Countries? A meta-synthesis of qualitative studies. PLoS Med. 2013;10(1):e1001373.CrossRef Finlayson K, Downe S. Why do women not use antenatal Services in low- and Middle-Income Countries? A meta-synthesis of qualitative studies. PLoS Med. 2013;10(1):e1001373.CrossRef
40.
go back to reference Leone T, Alburez-Gutierrez D, Ghandour R, Coast E, Giacaman R. Maternal and child access to care and intensity of conflict in the occupied Palestinian territory: a pseudo longitudinal analysis (2000-2014). Confl Health. 2019;13:36.CrossRef Leone T, Alburez-Gutierrez D, Ghandour R, Coast E, Giacaman R. Maternal and child access to care and intensity of conflict in the occupied Palestinian territory: a pseudo longitudinal analysis (2000-2014). Confl Health. 2019;13:36.CrossRef
41.
go back to reference Whittaker R, Merry S, Dorey E, Maddison R. A development and evaluation process for mHealth interventions: examples from New Zealand. J Health Commun. 2012;17(Suppl 1):11–21.CrossRef Whittaker R, Merry S, Dorey E, Maddison R. A development and evaluation process for mHealth interventions: examples from New Zealand. J Health Commun. 2012;17(Suppl 1):11–21.CrossRef
42.
go back to reference Modi D, Gopalan R, Shah S, Venkatraman S, Desai G, Desai S, Shah P. Development and formative evaluation of an innovative mHealth intervention for improving coverage of community-based maternal, newborn and child health services in rural areas of India. Glob Health Action. 2015;8:26769.CrossRef Modi D, Gopalan R, Shah S, Venkatraman S, Desai G, Desai S, Shah P. Development and formative evaluation of an innovative mHealth intervention for improving coverage of community-based maternal, newborn and child health services in rural areas of India. Glob Health Action. 2015;8:26769.CrossRef
43.
go back to reference Lim MS, Wright C, Hellard ME. The medium and the message: fitting sound health promotion methodology into 160 characters. JMIR mHealth uHealth. 2014;2(4):e40.CrossRef Lim MS, Wright C, Hellard ME. The medium and the message: fitting sound health promotion methodology into 160 characters. JMIR mHealth uHealth. 2014;2(4):e40.CrossRef
44.
go back to reference Wald DS, Butt S, Bestwick JP. One-way Versus Two-way Text Messaging on Improving Medication Adherence: Meta-analysis of Randomized Trials. The American Journal of Medicine. 2015;128(10):1139.e1131–5.CrossRef Wald DS, Butt S, Bestwick JP. One-way Versus Two-way Text Messaging on Improving Medication Adherence: Meta-analysis of Randomized Trials. The American Journal of Medicine. 2015;128(10):1139.e1131–5.CrossRef
45.
go back to reference Huberty JL, Buman MP, Leiferman JA, Bushar J, Hekler EB, Adams MA. Dose and timing of text messages for increasing physical activity among pregnant women: a randomized controlled trial. Transl Behav Med. 2017;7(2):212–23.CrossRef Huberty JL, Buman MP, Leiferman JA, Bushar J, Hekler EB, Adams MA. Dose and timing of text messages for increasing physical activity among pregnant women: a randomized controlled trial. Transl Behav Med. 2017;7(2):212–23.CrossRef
46.
go back to reference de Tolly K, Skinner D, Nembaware V, Benjamin P. Investigation into the use of short message services to expand uptake of human immunodeficiency virus testing, and whether content and dosage have impact. Telemed J E-Health. 2012;18(1):18–23.CrossRef de Tolly K, Skinner D, Nembaware V, Benjamin P. Investigation into the use of short message services to expand uptake of human immunodeficiency virus testing, and whether content and dosage have impact. Telemed J E-Health. 2012;18(1):18–23.CrossRef
47.
go back to reference Laidlaw R, Dixon D, Morse T, Beattie TK, Kumwenda S, Mpemberera G. Using participatory methods to design an mHealth intervention for a low income country, a case study in Chikwawa, Malawi. BMC Med Inform Decis Mak. 2017;17(1):98.CrossRef Laidlaw R, Dixon D, Morse T, Beattie TK, Kumwenda S, Mpemberera G. Using participatory methods to design an mHealth intervention for a low income country, a case study in Chikwawa, Malawi. BMC Med Inform Decis Mak. 2017;17(1):98.CrossRef
Metadata
Title
Development of a targeted client communication intervention to women using an electronic maternal and child health registry: a qualitative study
Authors
Binyam Bogale
Kjersti Mørkrid
Brian O’Donnell
Buthaina Ghanem
Itimad Abu Ward
Khadija Abu Khader
Mervett Isbeih
Michael Frost
Mohammad Baniode
Taghreed Hijaz
Tamara Awwad
Yousef Rabah
J. Frederik Frøen
Publication date
01-12-2020
Publisher
BioMed Central
Keyword
Care
Published in
BMC Medical Informatics and Decision Making / Issue 1/2020
Electronic ISSN: 1472-6947
DOI
https://doi.org/10.1186/s12911-019-1002-x

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