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Development of mWellcare: an mHealth intervention for integrated management of hypertension and diabetes in low-resource settings.

ABSTRACT: BACKGROUND:Cardiovascular diseases and diabetes are among the leading causes of premature adult deaths in India. Innovative approaches such as clinical decision support (CDS) software could play a major role in improving the quality of hypertension/diabetes care in primary care settings. OBJECTIVE:To describe the steps and processes in the development of mWellcare, a complex intervention based on mobile health (mHealth) technology. METHODS:The Medical Research Council framework was used to develop mWellcare in four steps: (1) identify gaps in usual care through literature review and health facility assessments; (2) identify the components of the intervention through discussions and consultations with experts; (3) develop intervention (clinical algorithms and mHealth system); and (4) evaluate acceptability and feasibility through pilot testing in five community health centers. RESULTS:Lack of evidence-based, integrated, and systematic management of chronic conditions were major gaps identified. Experts in information technology, clinical fields, and public health professionals identified intervention components to address these gaps. Thereafter, clinical algorithm contextualized to primary care settings were prepared and the mWellcare intervention was developed. During the 2-month pilot, 631 patients diagnosed with hypertension and/or diabetes were registered, with a follow-up rate of 36.2%. The major barrier was resistance to follow mWellcare recommended patient workflow, and to overcome it, we emphasized onsite training and orientation program to cover all health care team member in each CHC. CONCLUSION:A pilot-tested mWellcare intervention is an mHealth system with important components, i.e. integrated management of chronic conditions, evidence-based CDS, longitudinal health data and automated short-messaging service to reinforce compliance to drug intake and follow-up visit, which will be used by nurses at primary health care settings in India. The effectiveness and cost-effectiveness of the intervention will be tested through a cluster randomized trial (trial registration number NCT02480062).

SUBMITTER: Jindal D

PROVIDER: S-EPMC6161589 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature

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Development of mWellcare: an mHealth intervention for integrated management of hypertension and diabetes in low-resource settings.

Jindal Devraj D Gupta Priti P Jha Dilip D Ajay Vamadevan S VS Goenka Shifalika S Jacob Pramod P Mehrotra Kriti K Perel Pablo P Nyong Jonathan J Roy Ambuj A Tandon Nikhil N Prabhakaran Dorairaj D Patel Vikram V

Global health action 20180101 1

<h4>Background</h4>Cardiovascular diseases and diabetes are among the leading causes of premature adult deaths in India. Innovative approaches such as clinical decision support (CDS) software could play a major role in improving the quality of hypertension/diabetes care in primary care settings.<h4>Objective</h4>To describe the steps and processes in the development of mWellcare, a complex intervention based on mobile health (mHealth) technology.<h4>Methods</h4>The Medical Research Council frame ...[more]

PMID: 30253691

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Project description:BACKGROUND:Patients with diabetes and poorly controlled hypertension are at increased risk for adverse renal and cardiovascular outcomes. Identifying these patients early and addressing modifiable risk factors is central to delaying renal complications such as diabetic kidney disease. Mobile health (mHealth), a relatively inexpensive and easily scalable technology, can facilitate patient-centered care and promote engagement in self-management, particularly for patients of lower socioeconomic status. Thus, mHealth may be a cost-effective way to deliver self-management education and support. OBJECTIVE:This feasibility study aimed to build a population management program by identifying patients with diabetes and poorly controlled hypertension who were at risk for adverse renal outcomes and evaluate a multifactorial intervention to address medication self-management. We recruited patients from a federally qualified health center (FQHC) in an underserved, diverse county in the southeastern United States. METHODS:Patients were identified via electronic health record. Inclusion criteria were age between 18 and 75 years, diagnosis of type 2 diabetes, poorly controlled hypertension over the last 12 months (mean clinic systolic blood pressure [SBP] ?140 mm Hg and/or diastolic blood pressure [DBP] ?90 mm Hg), access to a mobile phone, and ability to receive text messages and emails. The intervention consisted of monthly telephone calls for 6 months by a case manager and weekly, one-way informational text messages. Engagement was defined as the number of phone calls completed during the intervention; individuals who completed 4 or more calls were considered engaged. The primary outcome was change in SBP at the conclusion of the intervention. RESULTS:Of the 141 patients enrolled, 84.0% (118/141) of patients completed 1 or more phone calls and had follow-up SBP measurements for analysis. These patients were on average 56.9 years of age, predominately female (73/118, 61.9%), and nonwhite by self-report (103/118, 87.3%). The proportion of participants with poor baseline SBP control (50/118, 42.4%) did not change significantly at study completion (53/118, 44.9%) (P=.64). Participants who completed 4 or more phone calls (98/118, 83.1%) did not experience a statistically significant decrease in SBP when compared to those who completed fewer calls. CONCLUSION:We did not reduce uncontrolled hypertension even among the more highly engaged. However, 83% of a predominately minority and low-income population completed at least 67% of the multimodal mHealth intervention. Findings suggest that combining an automated electronic health record system to identify at-risk patients with a tailored mHealth protocol can provide education to this population. While this intervention was insufficient to effect behavioral change resulting in better hypertension control, it does suggest that this FQHC population will engage in low-cost population health applications with a potentially promising impact. TRIAL REGISTRATION:ClinicalTrials.gov NCT02418091; https://clinicaltrials.gov/ct2/show/NCT02418091 (Archived by WebCite at http://www.webcitation.org/76RBvacVU).

Project description:BackgroundIn Low-Middle-Income Countries (LMICs), young people living with Type 1 Diabetes Mellitus (T1DM) face structural barriers which undermine adequate T1DM management and lead to poor health outcomes. However, research on the barriers faced by young people living with T1DM have mostly focused on patient factors, neglecting concerns regarding plausible barriers that may exist at the point of healthcare service delivery.ObjectiveThis study sought to explore barriers faced by young people living with T1DM and their caregivers at the point of healthcare service delivery.MethodsData were drawn from a qualitative research in southern Ghana. The research was underpinned by a phenomenological study design. Data were collected from 28 young people living with T1DM, 12 caregivers, and six healthcare providers using semi-structured interview guides. The data were collected at home, hospital, and support group centres via face-to-face interviews, telephone interviews, and videoconferencing. Thematic and framework analyses were done using CAQDAS (QSR NVivo 14).ResultsEight key barriers were identified. These were: shortage of insulin and management logistics; healthcare provider knowledge gaps; lack of T1DM care continuity; poor healthcare provider-caregiver interactions; lack of specialists' care; sharing of physical space with adult patients; long waiting time; and outdated treatment plans. The multiple barriers identified suggest the need for an integrated model of T1DM to improve its care delivery in low-resource settings. We adapted the Chronic Care Model (CCM) to develop an Integrated Healthcare for T1DM management in low-resource settings.ConclusionYoung people living with T1DM, and their caregivers encountered multiple healthcare barriers in both in-patient and outpatient healthcare facilities. The results highlight important intervention areas which must be addressed/improved to optimise T1DM care, as well as call for the implementation of a proposed integrated approach to T1DM care in low-resource settings.

Project description:Pneumonia is the leading infectious cause of death in children worldwide. Each year, pneumonia kills an estimated 935,000 children under five years of age, with most of these deaths occurring in developing countries. The current approach for pneumonia diagnosis in low-resource settings--using the World Health Organization Integrated Management of Childhood Illness (IMCI) paper-based protocols and relying on a health care provider's ability to manually count respiratory rate--has proven inadequate. Furthermore, hypoxemia--a diagnostic indicator of the presence and severity of pneumonia often associated with an increased risk of death--is not assessed because pulse oximetry is frequently not available in low-resource settings. In an effort to address childhood pneumonia mortality and improve frontline health care providers' ability to diagnose, classify, and manage pneumonia and other childhood illnesses, PATH collaborated with the University of Washington to develop "mPneumonia," an innovative mobile health application using an Android tablet. mPneumonia integrates a digital version of the IMCI algorithm with a software-based breath counter and a pediatric pulse oximeter. We conducted a design-stage usability field test of mPneumonia in Ghana, with the goal of creating a user-friendly diagnostic and management tool for childhood pneumonia and other childhood illnesses that would improve diagnostic accuracy and facilitate adherence by health care providers to established guidelines in low-resource settings. The results of the field test provided valuable information for understanding the usability and acceptability of mPneumonia among health care providers, and identifying approaches to iterate and improve. This critical feedback helped ascertain the common failure modes related to the user interface design, navigation, and accessibility of mPneumonia and the modifications required to improve user experience and create a tool aimed at decreasing mortality from pneumonia and other childhood illnesses in low-resource settings.

Project description:BackgroundIn high-resource settings, structured diabetes self-management education is associated with improved outcomes but the evidence from low-resource settings is limited and inconclusive.AimTo compare, structured diabetes self-management education to usual care, in adults with type 2 diabetes, in low-resource settings.Research design and methodsDesignSingle-blind randomised parallel comparator controlled multi-centre trial. Adults (> 18 years) with type 2 diabetes from two hospitals in urban Ghana were randomised 1:1 to usual care only, or usual care plus a structured diabetes self-management education program. Randomisation codes were computer-generated, and allotment concealed in opaque numbered envelopes. The intervention effect was assessed with linear mixed models.Main outcomeChange in HbA1c after 3-month follow-up. Primary analysis involved all participants.Clinicaltrialgov identifier:NCT04780425, retrospectively registered on 03/03/2021.ResultsRecruitment: 22nd until 29th January 2021. We randomised 206 participants (69% female, median age 58 years [IQR: 49-64], baseline HbA1c median 64 mmol/mol [IQR: 45-88 mmol/mol],7.9%[IQR: 6.4-10.2]). Primary outcome data was available for 79 and 80 participants in the intervention and control groups, respectively. Reasons for loss to follow-up were death (n = 1), stroke(n = 1) and unreachable or unavailable (n = 47). A reduction in HbA1c was found in both groups; -9 mmol/mol [95% CI: -13 to -5 mmol/mol], -0·9% [95% CI: -1·2% to -0·51%] in the intervention group and -3 mmol/mol [95% CI -6 to 1 mmol/mol], -0·3% [95% CI: -0·6% to 0.0%] in the control group. The intervention effect was 1 mmol/mol [95%CI:-5 TO 8 p = 0.726]; 0.1% [95% CI: -0.5, 0.7], p = 0·724], adjusted for site, age, and duration of diabetes. No significant harms were observed.ConclusionIn low-resource settings, diabetes self-management education might not be associated with glycaemic control. Clinician's expectations from diabetes self-management education must therefore be guarded.

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Development of mWellcare: an mHealth intervention for integrated management of hypertension and diabetes in low-resource settings.

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Development of mWellcare: an mHealth intervention for integrated management of hypertension and diabetes in low-resource settings.

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