7
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      The impact of an mHealth monitoring system on health care utilization by mothers and children: an evaluation using routine health information in Rwanda

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Maternal and child mortality rates remain unacceptably high globally, particularly in sub-Saharan Africa. A popular approach to counter these high rates is interventions delivered using mobile phones (mHealth). However, few mHealth interventions have been implemented nationwide and there has been little evaluation of their effectiveness, particularly at scale. Therefore, we evaluated the Rwanda RapidSMS programme—one of the few mHealth programmes in Africa that is currently operating nationwide. Using interrupted time series analysis and monthly data routinely reported by public health centres ( n = 461) between 2012 and 2016, we studied the impact of RapidSMS on four indicators: completion of four antenatal care visits, deliveries in a health facility, postnatal care visits and malnutrition screening. We stratified all analyses based on whether the district received concurrent additional supports, including staff and equipment (10 out of 30 Districts). We found that community health workers in Rwanda sent more than 9.3 million messages using RapidSMS, suggesting the programme was successfully implemented. We found that the implementation of the RapidSMS system combined with additional support including training, supervision and equipment provision increased the use of maternal and child health services. In contrast, implementing the RapidSMS system alone was ineffective. This suggests that mHealth programmes alone may be insufficient to improve the use of health services. Instead, they should be considered as a part of more comprehensive interventions that provide the necessary equipment and health system capacity to support them.

          Related collections

          Most cited references22

          • Record: found
          • Abstract: not found
          • Article: not found

          Segmented regression analysis of interrupted time series studies in medication use research

            Bookmark
            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            Mobile phones improve antenatal care attendance in Zanzibar: a cluster randomized controlled trial

            Background Applying mobile phones in healthcare is increasingly prioritized to strengthen healthcare systems. Antenatal care has the potential to reduce maternal morbidity and improve newborns’ survival but this benefit may not be realized in sub-Saharan Africa where the attendance and quality of care is declining. We evaluated the association between a mobile phone intervention and antenatal care in a resource-limited setting. We aimed to assess antenatal care in a comprehensive way taking into consideration utilisation of antenatal care as well as content and timing of interventions during pregnancy. Methods This study was an open label pragmatic cluster-randomised controlled trial with primary healthcare facilities in Zanzibar as the unit of randomisation. 2550 pregnant women (1311 interventions and 1239 controls) who attended antenatal care at selected primary healthcare facilities were included at their first antenatal care visit and followed until 42 days after delivery. 24 primary health care facilities in six districts were randomized to either mobile phone intervention or standard care. The intervention consisted of a mobile phone text-message and voucher component. Primary outcome measure was four or more antenatal care visits during pregnancy. Secondary outcome measures were tetanus vaccination, preventive treatment for malaria, gestational age at last antenatal care visit, and antepartum referral. Results The mobile phone intervention was associated with an increase in antenatal care attendance. In the intervention group 44% of the women received four or more antenatal care visits versus 31% in the control group (OR, 2.39; 95% CI, 1.03-5.55). There was a trend towards improved timing and quality of antenatal care services across all secondary outcome measures although not statistically significant. Conclusions The wired mothers’ mobile phone intervention significantly increased the proportion of women receiving the recommended four antenatal care visits during pregnancy and there was a trend towards improved quality of care with more women receiving preventive health services, more women attending antenatal care late in pregnancy and more women with antepartum complications identified and referred. Mobile phone applications may contribute towards improved maternal and newborn health and should be considered by policy makers in resource-limited settings. Trial registration ClinicalTrials.gov, NCT01821222.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Methods for estimating confidence intervals in interrupted time series analyses of health interventions.

              Interrupted time series (ITS) is a strong quasi-experimental research design, which is increasingly applied to estimate the effects of health services and policy interventions. We describe and illustrate two methods for estimating confidence intervals (CIs) around absolute and relative changes in outcomes calculated from segmented regression parameter estimates. We used multivariate delta and bootstrapping methods (BMs) to construct CIs around relative changes in level and trend, and around absolute changes in outcome based on segmented linear regression analyses of time series data corrected for autocorrelated errors. Using previously published time series data, we estimated CIs around the effect of prescription alerts for interacting medications with warfarin on the rate of prescriptions per 10,000 warfarin users per month. Both the multivariate delta method (MDM) and the BM produced similar results. BM is preferred for calculating CIs of relative changes in outcomes of time series studies, because it does not require large sample sizes when parameter estimates are obtained correctly from the model. Caution is needed when sample size is small.
                Bookmark

                Author and article information

                Journal
                Health Policy Plan
                Health Policy Plan
                heapol
                Health Policy and Planning
                Oxford University Press
                0268-1080
                1460-2237
                October 2018
                28 August 2018
                28 August 2018
                : 33
                : 8
                : 920-927
                Affiliations
                [1 ]School of Public Health, College of Medicine and Health Sciences, University of Rwanda, Kigali, Rwanda
                [2 ]The Centre for Health Services and Policy Research, School of Population and Public Health, The University of British Columbia, Vancouver, Canada
                [3 ]Ministry of Health, Kigali, Rwanda
                [4 ]UNICEF Rwanda, Kigali, Rwanda
                [5 ]Department of Health Sciences, Wilfrid Laurier University, Waterloo, ON, Canada
                [6 ]Department of Global Health and Social Medicine, Harvard Medical School, Harvard University, Boston, MA
                Author notes
                Corresponding author. E-mail: rutonh@ 123456gmail.com
                Author information
                http://orcid.org/0000-0003-0538-275X
                Article
                czy066
                10.1093/heapol/czy066
                6172419
                30169638
                5f9ab1d1-2f49-4685-81d8-bb582cd7eb3d
                © The Author(s) 2018. Published by Oxford University Press in association with The London School of Hygiene and Tropical Medicine.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com

                History
                : 28 June 2018
                Page count
                Pages: 8
                Funding
                Funded by: United Nations Children's Fund
                Funded by: Canada Research Chair
                Funded by: Michael Smith Foundation for Health Research Scholar Award
                Categories
                Original Articles

                Social policy & Welfare
                antenatal care,community health,health services research,maternal and child health

                Comments

                Comment on this article