Literature DB >> 29963291

Evaluating mobile solutions of integrated Community Case Management (iCCM): Making the final connection.

Victoria Hardy1, Matthew Thompson1, Adamson S Muula2,3.   

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Year:  2017        PMID: 29963291      PMCID: PMC6019543          DOI: 10.4314/mmj.v29i4.11

Source DB:  PubMed          Journal:  Malawi Med J        ISSN: 1995-7262            Impact factor:   0.875


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The current state of iCCM

Acknowledging a shortage of clinicians and inequitable access to basic health care for many communities in low- and middle-income countries (LMICs), the World Health Organization and United Nations Children's Fund developed integrated Community Case Management (iCCM)1. iCCM is a paper-based clinical decision rule that is deployed by frontline community health workers (CHWs) in hard-to-reach locations. The components of the decision rule are sufficiently simple for CHWs who are educated to secondary school level (with 6 days statutory iCCM training)2 to be able to manage uncomplicated illnesses in the community, and urgently refer seriously ill children to higher-level facilities for more comprehensive medical attention. Rolled out in the early 2000s3 across Asia and sub-Saharan Africa, iCCM (and its related decision rule, Integrated Management of Childhood Illness (IMCI)) contributed to notable progress towards achieving Millennium Development Goal 44. Despite significant reductions in under-5 morbidity and mortality between 1990 and 20155, the overall impact of iCCM on childhood survival in LMICs is undermined by a variety of factors. These include poor CHW adherence to guidelines6,7, incomplete patient recording, cumbersome monthly aggregation and reporting of cases to district health offices, as well as infrequent training opportunities to retain and develop skills, and irregular supervisory support8. This has prompted innovative strategies in attempts to optimize iCCM delivery.

The potential of mobile solutions for iCCM

Increased affordability and functionality of mobile phones and improved internet/data coverage in sub-Saharan Africa have made them a potential solution for circumventing some of the existing challenges of paper iCCM implementation. Mobile solutions of iCCM have been reported to improve both observed and perceived CHW adherence to iCCM and IMCI guidelines, accuracy of illness classification9,10, and speed of consultation11, when compared to the paper counterparts. Interviews with CHWs and caregivers of sick children have revealed a belief that mobile iCCM improves explanations of treatment recommendations to caregivers12, and could enhance recording of patient visits in village clinic registers13. Additional perceived benefits include reduced time costs associated with automating aggregation of cases and data submission compared to existing manual procedures, and providing opportunities for more regular feedback and advice from supervisors through exploitation of SMS platforms13,14. However, existing research evaluating mobile solutions of iCCM is of mixed quality (e.g. few explanatory and confirmatory experimental studies, small sample sizes and observation periods, lack of a control). This casts into question the robustness of the evidence. Some shortcomings may be attributed to methodological choices during study design. But on balance, lack of desired rigor is largely the by-product of inherent imperfections of evaluating a complex intervention in settings where it is difficult to control the influence of extraneous variables15. Appraising ‘quality’ is arguably further complicated by the absence of consensus standards for evaluating and reporting mobile health interventions16, and the ongoing contention between hierarchies of evidence and appropriateness17.

Interoperability as the final connection

A nuance of the ‘standards of evidence needed to implement’ debate that has received less attention has been a failure to demonstrate, or report on, interoperability of iCCM applications with country-specific district and national health information systems (HIS) (e.g. the DHIS 2)18. The disease-reporting pathway for iCCM begins with presentation of a sick child for assessment at village clinics and ends when data is available for use by centralized bodies for disease surveillance. Therefore, failure to evaluate connected mobile solutions means interventions for iCCM are only partly being tested under their intended real-world conditions. In LMICs such as Malawi, the ability of CHWs to perform each of the required iCCM steps from assessment through to case reporting precludes standalone evaluation of such mobile solutions for these guidelines. As with most countries, the Malawi Ministry of Health requires a record of every patient visit. Without the ability to send data electronically to local HIS, options for evaluating such interventions may be restricted to the inclusion of both modalities for assessing and treating children under-5. Several programs of work (in Malawi19 and Uganda20) have either adopted double assessment and data entry approaches, or have utilized mobile iCCM to direct assessment and data entry into patient records. Whilst it is impossible to speculate on why these procedures were selected in these instances (interoperability may or may not have been the rate limiting step), the authors can identify that lack of interoperability was a crucial determinant of the decision to investigate the added value of a mobile version of iCCM in a feasibility study and clinical trial, as part of the Supporting LIFE program21. Whilst adding or integrating mobile iCCM with paper iCCM generates some insight into the potential benefits, we have limited understanding of relationships between mobile versions of iCCM and most clinical, process, patient-reported and cost-related outcome measures. Furthermore, without interoperability, or at least cognizance of the challenges of how mobile solutions might be able to work together with existing health IT systems, we have insufficient information to establish their real-world acceptability, feasibility, effectiveness and sustainability locally, as well as their utility in other countries22. Reasons for failing to integrate mobile solutions of iCCM can be attributed to a mixture of technical, financial, regulatory and local political factors (often hindered by lack of a country-level HIS). This may involve lengthy and complicated negotiations with multiple stakeholders, which may be at odds with external organizations with specific agendas of satisfying funding objectives. In the authors' case, proving end-to-end functionality with sufficient confidence and in time for standalone evaluation in a clinical trial was not possible. Interoperability of mobile solutions of iCCM with district and national HIS, needs to be prioritized. Whilst use of both mobile and paper iCCM in the diagnostic work-up of children has been viewed as acceptable to CHWs in previous research13, the practical and financial sustainability of this approach, should be carefully considered. If the standalone potential of these types of interventions is to be truly determined, and a compelling case made for government and investor “buy-in”, establishing whether interoperability is achievable needs to be part of programmatic research agendas and supported by local leadership. Exploration of the compatibility and readiness of country-level HIS to support connected systems also warrants investigation. Finally, open architecture more conducive to interoperability is worthy of consideration for leveraging connectedness between programs that are siloed from each other, as well as health systems23.
  19 in total

1.  Perceived improvement in integrated management of childhood illness implementation through use of mobile technology: qualitative evidence from a pilot study in Tanzania.

Authors:  Marc Mitchell; Maya Getchell; Melania Nkaka; Daniel Msellemu; Jan Van Esch; Bethany Hedt-Gauthier
Journal:  J Health Commun       Date:  2012

2.  Altogether now... understanding the role of international organizations in iCCM policy transfer.

Authors:  Sara Bennett; Sarah L Dalglish; Pamela A Juma; Daniela C Rodríguez
Journal:  Health Policy Plan       Date:  2015-12       Impact factor: 3.344

3.  Using an eIMCI-Derived Decision Support Protocol to Improve Provider-Caretaker Communication for Treatment of Children Under 5 in Tanzania.

Authors:  Seneca Perri-Moore; Thomas Routen; Amani Flexson Shao; Clotide Rambaud-Althaus; Ndeniria Swai; Judith Kahama-Maro; Valerie D'Acremont; Blaise Genton; Marc Mitchell
Journal:  Glob Health Commun       Date:  2016-05-18

4.  Assessment of the adherence of community health workers to dosing and referral guidelines for the management of fever in children under 5 years: a study in Dangme West District, Ghana.

Authors:  Margaret A Chinbuah; Mercy Abbey; Piet A Kager; Margaret Gyapong; Justice Nonvignon; Philipina Ashitey; Jonas Akpakli; Shirley-Ann A Appiatse; David Kubi; John O Gyapong
Journal:  Int Health       Date:  2013-01-24       Impact factor: 2.473

5.  Stakeholders' perceptions of integrated community case management by community health workers: a post-intervention qualitative study.

Authors:  Denise L Buchner; Jennifer L Brenner; Jerome Kabakyenga; Kyomuhangi Teddy; Samuel Maling; Celestine Barigye; Alberto Nettel-Aguirre; Nalini Singhal
Journal:  PLoS One       Date:  2014-06-13       Impact factor: 3.240

6.  Independent Evaluation of the integrated Community Case Management of Childhood Illness Strategy in Malawi Using a National Evaluation Platform Design.

Authors:  Agbessi Amouzou; Mercy Kanyuka; Elizabeth Hazel; Rebecca Heidkamp; Andrew Marsh; Tiope Mleme; Spy Munthali; Lois Park; Benjamin Banda; Lawrence H Moulton; Robert E Black; Kenneth Hill; Jamie Perin; Cesar G Victora; Jennifer Bryce
Journal:  Am J Trop Med Hyg       Date:  2016-01-19       Impact factor: 2.345

7.  The performance of community health workers in the management of multiple childhood infectious diseases in Lira, northern Uganda - a mixed methods cross-sectional study.

Authors:  Phillip Wanduru; Moses Tetui; Doreen Tuhebwe; Michael Ediau; Monica Okuga; Christine Nalwadda; Elizabeth Ekirapa-Kiracho; Peter Waiswa; Elizeus Rutebemberwa
Journal:  Glob Health Action       Date:  2016-11-22       Impact factor: 2.640

8.  Using electronic technology to improve clinical care - results from a before-after cluster trial to evaluate assessment and classification of sick children according to Integrated Management of Childhood Illness (IMCI) protocol in Tanzania.

Authors:  Marc Mitchell; Bethany L Hedt-Gauthier; Daniel Msellemu; Melania Nkaka; Neal Lesh
Journal:  BMC Med Inform Decis Mak       Date:  2013-08-27       Impact factor: 2.796

9.  Introduction to a special supplement: Evidence for the implementation, effects, and impact of the integrated community case management strategy to treat childhood infection.

Authors:  David R Marsh; Davidson H Hamer; Franco Pagnoni; Stefan Peterson
Journal:  Am J Trop Med Hyg       Date:  2012-11       Impact factor: 2.345

10.  Perceptions of a mobile health intervention for Community Case Management in Malawi: Opportunities and challenges for Health Surveillance Assistants in a community setting.

Authors:  Griphin Baxter Chirambo; Victoria E Hardy; Ciara Heavin; Yvonne O'Connor; John O'Donoghue; Nikolaos Mastellos; Tammy Tran; Jenny Hsieh; Joseph Tsung-Shu Wu; Sven Carlsson; Bo Andersson; Adamson S Muula; Matthew Thompson
Journal:  Malawi Med J       Date:  2018-03       Impact factor: 0.875

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