Using cell phones to collect postpartum hemorrhage outcome data in rural Ghana
Open accessAbstract
Objective: To evaluate the use of cell phones by professional and traditional birth attendants in rural Africa for reporting postpartum hemorrhage (PPH) data. Methods: Ten birth attendants from the remote Sene District of Ghana participated in the study. Subjects were trained to send Short Message Service text messages from cell phones using a simple numeric protocol to report data regarding PPH: maternal age; PPH; use of bimanual uterine compression; maternal and neonatal mortality; and prenatal care. Participants sent texts to a pre‐programmed number to report data for all births they attended over a 90‐day period. Results: In total, 425 births and 13 (3.1%) cases of PPH were reported during the 90‐day period after training. All attendants followed the reporting protocol correctly, although with uncertain data integrity. Conclusion: The results indicate that it is possible to train professional and traditional birth attendants to use cell phones to report health‐related outcome data via a specified protocol. Reporting from rural‐based providers may present a more accurate picture of what occurs in remote communities because it happens in real time. These findings could be exportable to other program evaluation or population‐monitoring applications (healthcare and other) where rural outcome tracking is necessary.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Most studies conducted in LMICs involved the use of short message service (SMS) and voice communication to improve CHWs performance.
“Most studies conducted in LMICs involved the use of short message service (SMS) and voice communication to improve CHWs performance [13, 14].”
From Using mobile phones to improve community health workers performance in low-and-middle-income countries (2020) · cites this paper as [13]
The Methods and Results describe birth attendants in rural Ghana using SMS to report health outcomes. The paper does not establish that most LMIC studies used SMS and voice communication, and it does not measure an improvement in community health workers’ performance; the Discussion describes phone calls as a potential use rather than a tested intervention. (LLM, conf=0.87)
Experimental — accuracy not yet measuredIn rural Ghana, CHWs trained to collect postpartum hemorrhage outcome data using basic mobile phones reported 3.1% cases of PPH during the 90-day period, which indicated improvement in CHWs performance.
“In rural Ghana, CHWs were trained to collect postpartum hemorrhage outcome data using basic mobile phones. CHWs reported 3.1% cases of PPH during the 90-day period, which indicated improvement in CHWs performance [13].”
From Using mobile phones to improve community health workers performance in low-and-middle-income countries (2020) · cites this paper as [13]
The Methods describe training rural Ghanaian birth attendants to report outcomes using basic GSM phones, and the Results report 13 PPH cases (3.1%) among 425 births over 90 days. The Results show that attendants used the reporting protocol, but the paper does not establish that their performance improved over time; the Discussion also cautions that the reported outcomes may be affected by underreporting. (LLM, conf=0.87)
Experimental — accuracy not yet measuredGenerally, the use of basic mobile phone was preferred in LMICs to improve CHWs workflows.
“Generally, the use of basic mobile phone was preferred in LMICs to improve CHWs workflows [13, 17, 18].”
From Using mobile phones to improve community health workers performance in low-and-middle-income countries (2020) · cites this paper as [13]
The Methods section (page unavailable) says the Ghana study selected basic GSM handsets for SMS reporting, and the Results section reports that birth attendants used them to submit clinical outcomes. The paper does not establish that basic phones were generally preferred across LMICs or demonstrate improved CHW workflows beyond this reporting task. (LLM, conf=0.84)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
WHO analysis of causes of maternal death: a systematic review
Khan, K. S., Wojdyla, D., Say, L., Gülmezoglu, A. M., & Van Look, P. F. (2006) · The Lancet · doi:10.1016/s0140-6736(06)68397-9 · Cited by 3,978 · see citing works
Yatham, L. N., & Malhi, G. S. (2011) · Oxford University Press eBooks · doi:10.1093/med/9780199562305.001.0001 · Cited by 3,515 · see citing works
Smart mobs: the next social revolution
(2003) · Choice Reviews Online · doi:10.5860/choice.40-4689 · Cited by 1,480 · see citing works
Smart Mobs: The Next Social Revolution
Barlow, J. (2003) · CommonKnowledge Research Repository (Pacific University Oregon) · Cited by 760 · see citing works
The International Telecommunication Union (ITU)
Chaduc, J.-M., & Pogorel, G. (2008) · doi:10.1002/9780470610947.ch11 · Cited by 556 · see citing works
Bopp, J. M., Miklowitz, D. J., Goodwin, G. M., Stevens, W., Rendell, J. M., & Geddes, J. R. (2010) · Bipolar Disorders · doi:10.1111/j.1399-5618.2010.00807.x · Cited by 181 · see citing works
Can implementation intentions and text messages promote brisk walking? A randomized trial.
Prestwich, A., Perugini, M., & Hurling, R. (2010) · Health Psychology · doi:10.1037/a0016993 · Cited by 158 · see citing works
Text4Health: A Qualitative Evaluation of Parental Readiness for Text Message Immunization Reminders
Kharbanda, E. O., Stockwell, M. S., Fox, H., & Rickert, V. I. (2009) · American Journal of Public Health · doi:10.2105/ajph.2009.161364 · Cited by 118 · see citing works
The HAART cell phone adherence trial (WelTel Kenya1): a randomized controlled trial protocol
Lester, R. T., Mills, E. J., Kariri, A., Ritvo, P., Chung, M., Jack, W., Habyarimana, J., Karanja, S., Barasa, S., Nguti, R., et al. (2009) · Trials · doi:10.1186/1745-6215-10-87 · Cited by 91 · see citing works
Cell phones: tightening the communication gap in resource-limited antiretroviral programmes?
Lester, R. T., Gelmon, L. J., & Plummer, F. A. (2006) · AIDS · doi:10.1097/qad.0b013e3280108508 · Cited by 88 · see citing works
A Pilot Study of Mobile Telephone Message Interventions with Suicide Attempters in China
Chen, H., Mishara, B. L., & Liu, X. X. (2010) · Crisis · doi:10.1027/0227-5910/a000017 · Cited by 55 · see citing works
Peña‐Robichaux, V., Kvedar, J. C., & Watson, A. J. (2010) · Dermatology Research and Practice · doi:10.1155/2010/894258 · Cited by 51 · see citing works
SMS pain diary: a method for real‐time data capture of recurrent pain in childhood
Alfvén, G. (2010) · Acta Paediatrica · doi:10.1111/j.1651-2227.2010.01735.x · Cited by 38 · see citing works
Using team science to address health disparities: MacArthur network as case example
Adler, N. E., & Stewart, J. A. (2010) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2009.05335.x · Cited by 37 · see citing works
Telemedicine Through the Use of Digital Cell Phone Technology in Pediatric Neurosurgery
Pirris, S. M., Monaco, E. A., & Tyler‐Kabara, E. C. (2010) · Neurosurgery · doi:10.1227/01.neu.0000368443.43565.2a · Cited by 33 · see citing works
Development of a Staff Recall System for Mass Casualty Incidents Using Cell Phone Text Messaging
Epstein, R. H., Ekbatani, A., Kaplan, J., Shechter, R., & Grunwald, Z. (2010) · Anesthesia & Analgesia · doi:10.1213/ane.0b013e3181cb3f9e · Cited by 31 · see citing works
Here’s My Phone Number, Don’t Call Me: Physician Accessibility in the Cell Phone and E-mail Era
Wong, R. K. M., Tan, J. S. M., & Drossman, D. A. (2010) · Digestive Diseases and Sciences · doi:10.1007/s10620-009-1089-5 · Cited by 22 · see citing works
Reisman, A. B., Stevens, D. L., & Lipkin, M. (2010) · Digestive Diseases and Sciences · doi:10.1007/s10620-010-1137-1 · Cited by 1 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- [3]3. Germanakos P, Mourlas C, Samaras G. A Mobile Agent Approach for Ubiquitous and Personalized e-health Information Systems. Proceedings of the Workshop on "Personalization for e-Health" of the 10th International Conference on User Modeling. Edinburgh; 2005.
Cited by
Sorted by citations
Aranda-Jan, C. B., Mohutsiwa-Dibe, N., & Loukanova, S. (2014) · BMC Public Health · doi:10.1186/1471-2458-14-188 · Cited by 644 · see citing works
Agarwal, S., LeFevre, A. E., Lee, J., L’Engle, K., Mehl, G., Sinha, C., & Labrique, A. (2016) · BMJ · doi:10.1136/bmj.i1174 · Cited by 639 · see citing works
Agarwal, S., Perry, H. B., Long, L., & Labrique, A. B. (2015) · Tropical Medicine & International Health · doi:10.1111/tmi.12525 · Cited by 498 · see citing works
Chib, A., van Velthoven, M. H., & Car, J. (2015) · Journal of Health Communication · doi:10.1080/10810730.2013.864735 · Cited by 384 · see citing works
Lund, S., Hemed, M., Nielsen, B., Said, A., Said, K., Makungu, M., & Rasch, V (2012) · BJOG: An International Journal of Obstetrics & Gynaecology · doi:10.1111/j.1471-0528.2012.03413.x · Cited by 228 · see citing works
Telemedicine and Advances in Urban and Rural Healthcare Delivery in Africa
Mars, M. (2013) · Progress in Cardiovascular Diseases · doi:10.1016/j.pcad.2013.10.006 · Cited by 223 · see citing works
Feroz, A., Jabeen, R., & Saleem, S. (2020) · BMC Public Health · doi:10.1186/s12889-020-8173-3 · Cited by 178 · see citing works
Brinkel, J., Krämer, A., Krumkamp, R., May, J., & Fobil, J. N. (2014) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph111111559 · Cited by 161 · see citing works
Gibson, D. G., Pereira, A., Farrenkopf, B. A., Labrique, A. B., Pariyo, G. W., & Hyder, A. A. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.7428 · Cited by 149 · see citing works
Determinants of readiness to adopt mHealth in a rural community of Bangladesh
Khatun, F., Heywood, A. E., RAY, P. K., Hanifi, S., Bhuiya, A., & Liaw, S. (2015) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2015.06.008 · Cited by 130 · see citing works
mHealth Interventions in Low-Income Countries to Address Maternal Health: A Systematic Review
Colaci, D., Chaudhri, S., & Vasan, A. (2017) · Annals of Global Health · doi:10.1016/j.aogh.2016.09.001 · Cited by 115 · see citing works
Health Worker mHealth Utilization
White, A. E., Thomas, D. S. K., Ezeanochie, N., & Bull, S. S. (2016) · CIN Computers Informatics Nursing · doi:10.1097/cin.0000000000000231 · Cited by 111 · see citing works
Opoku, D., Stephani, V., & Quentin, W. (2017) · BMC Medicine · doi:10.1186/s12916-017-0782-z · Cited by 97 · see citing works
Nhavoto, J. A., & Grönlund, Å. (2014) · JMIR mhealth and uhealth · doi:10.2196/mhealth.3216 · Cited by 77 · see citing works
Community readiness for adopting mHealth in rural Bangladesh: A qualitative exploration
Khatun, F., Heywood, A. E., RAY, P. K., Bhuiya, A., & Liaw, S. (2016) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2016.05.010 · Cited by 77 · see citing works
Bervell, B., & Al-Samarraie, H. (2019) · Social Science & Medicine · doi:10.1016/j.socscimed.2019.04.024 · Cited by 74 · see citing works
Grafting: Balancing Control and Cultivation in Information Infrastructure Innovation
Sanner, T. A., Manda, T. D., & Nielsen, P. (2014) · Journal of the Association for Information Systems · doi:10.17705/1jais.00356 · Cited by 63 · see citing works
Gender differentials in readiness and use of mHealth services in a rural area of Bangladesh
Khatun, F., Heywood, A. E., Hanifi, S. M. A., Rahman, M. S., RAY, P. K., Liaw, S., & Bhuiya, A. (2017) · BMC Health Services Research · doi:10.1186/s12913-017-2523-6 · Cited by 60 · see citing works
Duclos, V., Yé, M., Moubassira, K., Sanou, H., Sawadogo, N. H., Bibeau, G., & Sié, A. (2017) · Health Research Policy and Systems · doi:10.1186/s12961-017-0211-y · Cited by 59 · see citing works
Peprah, P., Abalo, E. M., Agyemang‐Duah, W., Budu, H. I., Appiah-Brempong, E., Morgan, A. K., & Gyimah, A. A. (2020) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-020-1040-4 · Cited by 58 · see citing works
Abejirinde, I. O., Ilozumba, O., Marchal, B., Zweekhorst, M. B. M., & Dieleman, M. A. (2018) · International Journal of Care Coordination · doi:10.1177/2053434518779491 · Cited by 57 · see citing works
Siedner, M. J., Santorino, D., Haberer, J. E., & Bangsberg, D. R. (2015) · Journal of Medical Internet Research · doi:10.2196/jmir.3859 · Cited by 51 · see citing works
Wagnew, F., Dessie, G., Alebel, A., Mulugeta, H., Belay, Y. A., & Abajobir, A. A. (2018) · Reproductive Health · doi:10.1186/s12978-018-0635-z · Cited by 52 · see citing works
Yasmin, F., Nahar, N., Banu, B., Ali, L., Sauerborn, R., & Souares, A. (2020) · BMC Health Services Research · doi:10.1186/s12913-020-05387-z · Cited by 48 · see citing works
Vulnerabilities in mHealth implementation: a Ugandan HIV/AIDS SMS campaign
Chib, A., Wilkin, H., & Hoefman, B. (2013) · Global Health Promotion · doi:10.1177/1757975912462419 · Cited by 47 · see citing works
Thomsen, C. F., Barrie, A. M. F., Boas, I. M., Lund, S. B., Sørensen, B. L., Oljira, F. G., & Tersbøl, B. P. (2019) · Reproductive Health · doi:10.1186/s12978-019-0725-6 · Cited by 46 · see citing works
Cell Phones to Collect Pregnancy Data From Remote Areas in Liberia
Lori, J. R., Munro‐Kramer, M. L., Boyd, C. J., & Andreatta, P. (2012) · Journal of Nursing Scholarship · doi:10.1111/j.1547-5069.2012.01451.x · Cited by 42 · see citing works
Self-citationEbenso, B., Okusanya, B. O., Okunade, K. S., Akeju, D. O., Ajepe, A., Akaba, G. O., Yalma, R. M., Dirisu, O., Tukur, J., Abdullahi, M. K., et al. (2021) · Frontiers in Global Women s Health · doi:10.3389/fgwh.2021.670494 · Cited by 41 · see citing works
Uddin, J., Biswas, T., Adhikary, G., Ali, W., Alam, N., Palit, R., Uddin, N., Uddin, A., Khatun, F., & Bhuiya, A. (2017) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-017-0502-9 · Cited by 37 · see citing works
Yasmin, F., Ali, L., Banu, B., Rasul, F. B., Sauerborn, R., & Souares, A. (2020) · BMC Health Services Research · doi:10.1186/s12913-019-4811-9 · Cited by 37 · see citing works
Andreatta, P., Gans-Larty, F., Debpuur, D., Ofosu, A. A., & Perosky, J. E. (2011) · International Journal of Nursing Studies · doi:10.1016/j.ijnurstu.2011.03.001 · Cited by 37 · see citing works
Self-citationHunt, X., Tomlinson, M., Sikander, S., Skeen, S., Marlow, M., Toit, S. D., & Eisner, M. (2020) · Frontiers in Artificial Intelligence · doi:10.3389/frai.2020.543305 · Cited by 35 · see citing works
Prieto, J. T., Zuleta, C., & Rodríguez, J. T. (2017) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocw102 · Cited by 32 · see citing works
Sokey, P. P., & Adisah-Atta, I. (2017) · Social Sciences · doi:10.3390/socsci6020066 · Cited by 26 · see citing works
Hailemariam, T., Atnafu, A., Gezie, L. D., Kaasbøll, J., Klein, J., & Tilahun, B. C. (2023) · BMC Health Services Research · doi:10.1186/s12913-023-09629-8 · Cited by 26 · see citing works
McBride, B., Nguyen, L. T., Wiljer, D., Vu, N. C., Nguyen, C. K., & O'Neil, J. (2018) · JMIR Research Protocols · doi:10.2196/resprot.7912 · Cited by 24 · see citing works
Knowledge and skill retention of a mobile phone data collection protocol in rural Liberia
Munro, M. L., Lori, J. R., Boyd, C. J., & Andreatta, P. (2014) · Journal of Midwifery & Women's Health · doi:10.1111/jmwh.12155 · Cited by 23 · see citing works
Self-citationIyengar, M. S., & Florez-Arango, J. F. (2013) · Technology and Health Care · doi:10.3233/thc-130713 · Cited by 22 · see citing works
A systematic review of vital events tracking by community health agents
Nichols, E. K., Ragunanthan, N. W., Ragunanthan, B., Gebrehiwet, H., & Kamara, K. (2019) · Global Health Action · doi:10.1080/16549716.2019.1597452 · Cited by 22 · see citing works
Martins, H. E. L. (2016) · American Journal of Nursing Science · doi:10.11648/j.ajns.20160501.12 · Cited by 20 · see citing works
Diese, M., Kalonji, A. N., Izale, B., Villeneuve, S., Kintaudi, N. M., Clarysse, G., Ngongo, N., & Ntambue, A. M. (2018) · BMC Public Health · doi:10.1186/s12889-018-5186-2 · Cited by 20 · see citing works
Mariwah, S., Abane, A., Owusu, S. A., Kasim, A., Robson, E., Castelli, M., & Hampshire, K. (2021) · Global Public Health · doi:10.1080/17441692.2021.1874467 · Cited by 18 · see citing works
Asare, R., Afari‐Sefa, V., & Muilerman, S. (2016) · Experimental Agriculture · doi:10.1017/s0014479716000247 · Cited by 17 · see citing works
Hailemariam, T., Atnafu, A., Gezie, L. D., & Tilahun, B. C. (2024) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-024-02836-1 · Cited by 17 · see citing works
Mustapha, A. Y. (2022) · International Journal of Multidisciplinary Research and Growth Evaluation · doi:10.54660/.ijmrge.2022.3.1.1020-1033 · Cited by 16 · see citing works
Mobile Phones in Data Collection
Şahin, F., & Yan, Z. (2013) · International Journal of Cyber Behavior Psychology and Learning · doi:10.4018/ijcbpl.2013070106 · Cited by 16 · see citing works
Feroz, A. S., Rizvi, N., Sayani, S., & Saleem, S. (2017) · Journal of Hospital Management and Health Policy · doi:10.21037/jhmhp.2017.10.02 · Cited by 16 · see citing works
Birth and death notification via mobile devices: a mixed methods systematic review
Vasudevan, L., Glenton, C., Henschke, N., Maayan, N., Eyers, J. E., Fønhus, M. S., Tamrat, T., Mehl, G. L., & Lewin, S. A. (2021) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd012909.pub2 · Cited by 16 · see citing works
SulaymanHajaratu, U., & AdajiSunday, E. (2019) · Sub-Saharan African Journal of Medicine · doi:10.4103/ssajm.ssajm_25_17 · Cited by 15 · see citing works
Abreu, F. D. L., Bissaco, M. A. S., da Silva, A. P., Boschi, S. R. M. D. S., Scardovelli, T. A., Santos, M. F., Rodrigues, C., & Martini, S. C. (2021) · Research on Biomedical Engineering · doi:10.1007/s42600-021-00154-3 · Cited by 15 · see citing works
Hailemariam, T., Atnafu, A., Gezie, L. D., Kaasbøll, J., Klein, J., & Tilahun, B. C. (2024) · JMIR Human Factors · doi:10.2196/47081 · Cited by 14 · see citing works
The Ubiquitous Healthcare Facility Framework: A Proposed System for Managing Rural Antenatal Care
Saleemi, M., Anjum, M., & Rehman, M. (2019) · IEEE Access · doi:10.1109/access.2019.2951739 · Cited by 13 · see citing works
Should participants be given a mobile phone, or use their own? Effects of novelty vs utility
Walsh, E., & Brinker, J. K. (2015) · Telematics and Informatics · doi:10.1016/j.tele.2015.06.006 · Cited by 12 · see citing works
Perosky, J. E., Munro, M. L., Kay, J. L., Nyanplu, A., Williams, G., Andreatta, P. B., & Lori, J. R. (2015) · Journal of Health Communication · doi:10.1080/10810730.2015.1018607 · Cited by 12 · see citing works
Self-citationOluokun, E. O., Adedoyin, F. F., Doğan, H., & Jiang, N. (2024) · Journal of Medical Internet Research · doi:10.2196/44294 · Cited by 10 · see citing works
The Necessity of Mobile Phone Technologies for Public Health Surveillance in Benin
Hounmanou, Y. M. G., Agonsanou, M. S. S., Dougnon, V. T., Vodougnon, M. H. B., Achoh, M. E., Mohammed, J., & Karimuribo, E. D. (2016) · Advances in Public Health · doi:10.1155/2016/5692480 · Cited by 8 · see citing works
A Detail Review on Digital Health Technologies
Pawar, K., Gujarathi, S., Gupta, R., Khan, A., & Tiwari, A. K. (2024) · International Journal for Research in Applied Science and Engineering Technology · doi:10.22214/ijraset.2024.58371 · Cited by 7 · see citing works
Gómez, I. F. L., Torres-Silva, E. A., Correa, C. T., Zuluaga, S., Morales, M. M. R., Serna, C. G., Araque, L. V. D., Smith, J., & Florez-Arango, J. F. (2015) · Medicina UPB · doi:10.18566/medupb.v34n2.a06 · Cited by 7 · see citing works
Cansdale, L. G., Kelly, G., Khashan, A. S., Malata, A. M., Kachale, F., Lissauer, D. M., Yosefe, S., Roberts, J. M., Woodworth, S., Mmbaga, B. T., et al. (2022) · BMJ Open · doi:10.1136/bmjopen-2022-063886 · Cited by 7 · see citing works
Telemedicine and Electronic Health
Kasemsap, K. (2017) · Advances in human services and public health (AHSPH) book series · doi:10.4018/978-1-5225-2262-1.ch009 · Cited by 7 · see citing works
Senya, K., Ibrahim, A., Lindong, I., & Addo-Lartey, A. A. (2016) · Global Social Welfare · doi:10.1007/s40609-016-0078-9 · Cited by 6 · see citing works
Review of Key Stakeholders for an mHealth Pilot Study in Malawi Motivations and Expectations
O’Connor, Y., Heavin, C., & O’Donoghue, J. (2015) · International Journal of Reliable and Quality E-Healthcare · doi:10.4018/ijrqeh.2015040105 · Cited by 5 · see citing works
Rajasekera, J. R., Mishal, A. V., & Mori, Y. (2019) · Studies in big data · doi:10.1007/978-3-030-31672-3_6 · Cited by 5 · see citing works
Olomi, G. A., Manongi, R. N., Makasi, C. E., Woodworth, S., Mlay, P. S., Yeates, K., West, N., Hirst, J. E., Mahande, M. J., Mmbaga, B. T., et al. (2025) · PLoS ONE · doi:10.1371/journal.pone.0319510 · Cited by 4 · see citing works
Kalinga, A. K., Munga, M. A., Ngenya, A., John, W., Kisoka, W. J., Oriyo, N. M., Mutalemwa, P. P., Mandara, W., Masagati, L., Ogondiek, J. W., et al. (2022) · BMC Health Services Research · doi:10.1186/s12913-022-08256-z · Cited by 4 · see citing works
Ouédraogo, S., Accrombessi, M., Ouattara, A., Massougbodji, A., Dabira, E. D., Sarigda, M., Diallo, I., Zida, A., Nicolas, M., Ouedraogo, L. T., et al. (2022) · Revue d Épidémiologie et de Santé Publique · doi:10.1016/j.respe.2022.07.002 · Cited by 4 · see citing works
Simulation in Limited-Resource Settings
Shilkofski, N. A., & Meaney, P. A. (2016) · Comprehensive healthcare simulation · doi:10.1007/978-3-319-24187-6_25 · Cited by 3 · see citing works
Luna Gómez, I. F., Torres Silva, E. A., Tamayo Correa, C., Vélez Zuluaga, S., Ramírez Morales, M. M., González Serna, C., Durango Araque, L. V., Smith, J. W., & Florez-Arango, J. F. (2024) · Medicina UPB · doi:10.18566/medupb · Cited by 3 · see citing works
Arnaert, A., Ponzoni, N., Sanou, H., & Nana, N. G. (2019) · Telehealth and Medicine Today · doi:10.30953/tmt.v4.100 · Cited by 2 · see citing works
Ansumana, R., Bockarie, A. S., Sankoh, P. S., Jacobsen, K. H., Koroma, A. H., Malanoski, A., Meehan, K. A., Łęski, T. A., Jimmy, D., Bangura, U., et al. (2013) · Sierra Leone Journal of Biomedical Research · doi:10.4314/sljbr.v5i1.2 · Cited by 2 · see citing works
The Impact of the Use of e-Partogram on Maternal and Perinatal Outcomes: A Scoping Review
Singh, P., & Bhalerao, A. V. (2024) · Cureus · doi:10.7759/cureus.62295 · Cited by 2 · see citing works
Childbirth Practices in the Akpabuyo Rural Health and Demographic Surveillance System
Enang, E., Ushie, M. A., Arikpo, I. I., Osonwa, K., Esu, E., Odey, F. A., Oyo-Ita, A. E., & Meremikwu, M. M. (2013) · Developing Country Studies · Cited by 2 · see citing works
Olowokere, A. E., Olajubu, A. O., Ayeni, I. E., & Aremu, O. O. (2019) · International Journal of Reproduction Contraception Obstetrics and Gynecology · doi:10.18203/2320-1770.ijrcog20196044 · Cited by 2 · see citing works
Aryee, K. L. (2014) · Scholarship@Western (Western University) · Cited by 2 · see citing works
Scaling Up: The Challenges of eHealth Systems in Developing Countries
Kwao, L., Millham, R. C., Hayfron-Acquah, J. B., & Panford, J. K. (2019) · International Journal for Research in Applied Science and Engineering Technology · doi:10.22214/ijraset.2019.10123 · Cited by 2 · see citing works
Telemedicine and Electronic Health
Kasemsap, K. (2017) · IGI Global eBooks · doi:10.4018/978-1-5225-3168-5.ch001 · Cited by 1 · see citing works
Yirsaw, A. N., Lakew, G., & Nigusie, A. (2026) · PLoS ONE · doi:10.1371/journal.pone.0347576 · Cited by 1 · see citing works
Stephani, V., Quentin, W., & Opoku, D. (2015) · DepositOnce · doi:10.14279/depositonce-4373 · Cited by 1 · see citing works
USE OF MOBILE TECHNOLOGY FOR THE ACHIEVEMENT OF SDG GOALS RELATED TO MATERNAL HEALTH
Khandade, T. N., Choudhary, M., & Kumar, S. (2022) · MAN ENVIRONMENT AND SOCIETY · doi:10.47509/mes.2022.v03i01.12 · Cited by 1 · see citing works
Buren, S. V. (2013) · Brandeis Institutional Repository · Cited by 1 · see citing works
Rogers, M. L., Masud-Paul, J., & Desoki, R. E. (2019) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/1071181319631521
Impediments to the Adoption of mHealth Interventions in Burundi
Ndayizigamiye, P. (2022) · Advances in healthcare information systems and administration book series · doi:10.4018/978-1-7998-8915-1.ch008
Wagnew, F., Dessie, G., Ayalew, A. A., Mulugeta, H., & Abajobir, A. A. (2018) · doi:10.2196/preprints.10325
Hailemariam, T., Atnafu, A., Gezie, L. D., Kaasbøll, J., Klein, J., & Tilahun, B. (2024) · Figshare · doi:10.6084/m9.figshare.26597672
Hailemariam, T., Atnafu, A., Gezie, L. D., Kaasbøll, J., Klein, J., & Tilahun, B. C. (2024) · Figshare · doi:10.6084/m9.figshare.26597666
Hailemariam, T., Atnafu, A., Gezie, L. D., Kaasbøll, J., Klein, J., & Tilahun, B. (2024) · Figshare · doi:10.6084/m9.figshare.26597669
- Authors
- Andreatta, P., Debpuur, D., Danquah, A., & Perosky, J.
- Affiliations
- University of Michigan (US)
- Ghana Health Service (GH)
- Corresponding author
- Andreatta, Pamela
- Venue
- International Journal of Gynecology & Obstetrics
- Publisher
- Wiley
- Published
- 2011-03-21
- Volume
- 113
- Issue
- 2
- Pages
- 148-151
- ISSN
- 0020-6695 (ISSN-L)
- 0020-7292
- 1879-3479
- OpenAlex
- W2048543768
- Cited by
- 88
- References
- 18
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 9 · 2023: 2 · 2022: 5 · 2021: 5 · 2020: 5 · 2019: 10 · 2018: 5 · 2017: 10 · 2016: 9 · 2015: 8 · 2014: 7 · 2013: 7 · 2012: 3
- FWCI
- 10.72
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Locations
- International Journal of Gynecology & Obstetrics (publishedVersion)
- PubMed (publishedVersion)
- Deep Blue (University of Michigan) (submittedVersion)
- Funders
- Bill and Melinda Gates Foundation
- University of Michigan
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Maternal and fetal healthcare
- Physical Sciences › Computer Science › Information Systems › ICT in Developing Communities
- Keywords
- postpartum hemorrhage, mobile health, mobile devices, birth attendants, traditional birth attendants, maternal mortality, neonatal mortality, prenatal care
- MeSH terms
- Adolescent, Adult, Aged, Data Collection, Female, Ghana, Postpartum Hemorrhage, Humans, Infant Mortality, Infant, Newborn, Maternal Mortality, Middle Aged, Midwifery, Pilot Projects, Pregnancy, Prenatal Care, Rural Health Services, Cell Phone, Young Adult
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review