Using mH ealth Tools to Improve Access and Coverage of People With Public Health Insurance and High Cardiovascular Disease Risk in Argentina: A Pragmatic Cluster Randomized Trial

The use and potential impact of digital health tools at the community level: results from a multi-country survey of community health workers

BACKGROUND

Community health workers (CHWs) are increasingly viewed as a critical workforce to address health system strengthening and sustainable development goals. Optimizing and widening the capacity of this workforce through digital technology is currently underway, though there is skepticism regarding CHWs' willingness and optimism to engage in digital health. We sought to understand CHWs' perceptions on the use of digital health tools in their work.

METHODS

We obtained survey data from 1,141 CHWs from 28 countries with complete study information. We conducted regression analyses to explore the relationship between CHWs' training and perceived barriers to digital health access with current use of digital devices/tools and belief in digital impact while adjusting for demographic factors.

RESULTS

Most of the CHWs worked in Kenya (n = 502, 44%) followed by the Philippines (n = 308, 27%), Ghana (n = 107, 9.4%), and the United States (n = 70, 6.1%). There were significant, positive associations between digital tools training and digital device/tool use (Adjusted Odds Ratio (AOR) = 2.92, 95% CI = 2.09-4.13) and belief in digital impact (AORhigh impact = 3.03, 95% CI = 2.04-4.49). CHWs were significantly less likely to use digital devices for their work if they identified cost as a perceived barrier (AORmobile service cost = 0.68, 95% CI = 0.49-0.95; AORphone/device cost = 0.66, 95% CI = 0.47-0.92). CHWs who were optimistic about digital health, were early adopters of technology in their personal lives, and found great value in their work believed digital health helped them to have greater impact. Older age and greater tenure were associated with digital device/tool use and belief in digital impact, respectively.

CONCLUSIONS

CHWs are not an obstacle to digital health adoption or use. CHWs believe that digital tools can help them have more impact in their communities regardless of perceived barriers. However, cost is a barrier to digital device/tool use; potential solutions to cost constraints of technological access will benefit from further exploration of reimbursement models. Digital health tools have the potential to increase CHW capacity and shape the future of community health work.

Pop-up screening nested within routine community activities unmasks an addressed cardiovascular risk: A pilot study (Gippsland Healthy Heart Study)

OBJECTIVE

To evaluate the benefits of a pop-up health screening for cardiovascular risk factors (CVRF) in the Gippsland region, and to assess the acceptability of the screening and to determine whether such a process results in attendance at a general practitioner (GP).

PARTICIPANTS

Overall, 454 participants over the age of 18 who were residents of the Gippsland region were enrolled.

METHODS

This is a community-based, observational, prospective cohort study using pop-up screening sites at six retail locations or workplaces, where participants' blood pressure, body weight and lipid profile were measured. The primary outcome was to assess the proportion of participants with at least one unaddressed CVRF (hypertension [blood pressure >140/90 mmHg], overweight and obesity [body mass index >25 kg/m2 ] or hypercholesterolaemia [low-density lipoprotein cholesterol >2.5 mmol/L]). Email surveys were performed after 4 weeks of follow-up.

RESULTS

Overall, 85.8% (95% confidence interval [CI], 82.1%-88.8%) of participants had at least one unaddressed CVRF. Among the 54 participants who responded to the email survey, 50 participants (92.6% [95% CI, 81.3%-97.6%]) found the screening approach acceptable, and 31 (57.4% [95% CI, 43.3%-70.5%]) considered a discussion with the GP.

CONCLUSIONS

This study supported the feasibility and effectiveness of pop-up screening to detect CVRF in rural communities.

Managing high cardiovascular disease risk among adults in Argentina using a multicomponent strategy linking key aspects of care: A two-arm cluster-randomized clinical trial (PRIMECare) protocol

BACKGROUND

Cardiovascular disease (CVD) imposes a significant burden on the Argentinian population. Management of its leading risk factors can significantly reduce the CVD burden in high-resource settings, but there is insufficient evidence for effective implementation of evidence-based interventions in lower-resource settings like Argentina.

METHODS

In this two-arm cluster-randomized trial we seek to compare the effective implementation, of a multicomponent intervention, versus usual care, to improve the management of high CVD risk across the care continuum in three provinces of Argentina. The multicomponent intervention strategy links five primary components of the CVD care continuum to improve its management: (1) a data management system linking a digital mHealth (mobile health) screening tool used by community health workers (CHWs), (2) an electronic appointment scheduler that is integrated with the primary care center electronic appointment system, (3) point of care testing for lipid profiles, (4) a clinical decision support (CDS) system for medication initiation, and (5) a text message (SMS) reminder system to improve treatment adherence and life-style changes. The primary outcome is the mean change in Framingham laboratory-based, 10-year absolute CVD risk score between the study arms from baseline to twelve months after enrollment.

CONCLUSIONS

This protocol describes the development of a multicomponent intervention to implement effective management of CVD, developed with partners at the National and provincial Departments of Health in Argentina, with the goal of understanding its effective implementation in a primary health care system strengthened by universal health coverage, provision of free health care services, and provision of free medication.

Artificial intelligence and digital health in improving primary health care service delivery in LMICs: A systematic review

AIM

Technology including artificial intelligence (AI) may play a key role to strengthen primary health care services in resource-poor settings. This systematic review aims to explore the evidence on the use of AI and digital health in improving primary health care service delivery.

METHODS

Three electronic databases were searched using a comprehensive search strategy without providing any restriction in June 2023. Retrieved articles were screened independently using the "Rayyan" software. Data extraction and quality assessment were conducted independently by two review authors. A narrative synthesis of the included interventions was conducted.

RESULTS

A total of 4596 articles were screened, and finally, 48 articles were included from 21 different countries published between 2013 and 2021. The main focus of the included studies was noncommunicable diseases (n = 15), maternal and child health care (n = 11), primary care (n = 8), infectious diseases including tuberculosis, leprosy, and HIV (n = 7), and mental health (n = 6). Included studies considered interventions using AI, and digital health of which mobile-phone-based interventions were prominent. m-health interventions were well adopted and easy to use and improved the record-keeping, service deliver, and patient satisfaction.

CONCLUSION

AI and the application of digital technologies improve primary health care service delivery in resource-poor settings in various ways. However, in most of the cases, the application of AI and digital health is implemented through m-health. There is a great scope to conduct further research exploring the interventions on a large scale.

Digital health interventions for non-communicable disease management in primary health care in low-and middle-income countries

Current evidence on digital health interventions is disproportionately concerned with high-income countries and hospital settings. This scoping review evaluates the extent of use and effectiveness of digital health interventions for non-communicable disease (NCD) management in primary healthcare settings of low- and middle-income countries (LMICs) and identifies factors influencing digital health interventions' uptake. We use PubMed, Embase, and Web of Science search results from January 2010 to 2021. Of 8866 results, 52 met eligibility criteria (31 reviews, 21 trials). Benchmarked against World Health Organization's digital health classifications, only 14 out of 28 digital health intervention categories are found, suggesting critical under-use and lagging innovation. Digital health interventions' effectiveness vary across outcomes: clinical (mixed), behavioral (positively inclined), and service implementation outcomes (clear effectiveness). We further identify multiple factors influencing digital health intervention uptake, including political commitment, interactivity, user-centered design, and integration with existing systems, which points to future research and practices to invigorate digital health interventions for NCD management in primary health care of LMICs.

Hypertension and Dyslipidaemia in Argentina: Patient Journey Stages

Cardiovascular disease (CVD) leads to one-third of all deaths in Argentina. To implement patient-centric strategies for reducing CVD burden, available data on hypertension and hypercholesterolemia patients at different stages of their journey: awareness, screening, diagnosis, treatment, adherence, and control were analysed. A semi-systematic review in peer-reviewed databases (EMBASE and MEDLINE) and unstructured sources such as Google Scholar, Argentine Ministry of Health, and World Health Organization websites was conducted till 06.07.2021 for hypertension and dyslipidemia. English articles published in 2010-2021, depicting patient journey data for hypertension or hypercholesterolemia of the nationally representative adult population of Argentina were included. Thesis abstracts, letters to the editor, editorials, and case studies were excluded. No limits were used for unstructured sources. Weighted or simple means were estimated for patient journey stages. Out of 296 and 1257 articles retrieved for hypertension and hypercholesterolemia, respectively, five articles were retained for each of the conditions. The estimates for hypertension and hypercholesterolemia, respectively, were 46.6% and 30.7% for prevalence, 61.6% and 37.3% for awareness, 97.5% and ≥80% for screening, 64.1% and 28.9% for diagnosis, and 49.7% and 36.6% for treatment, and 19.9% and 20% for overall control. Adherence data were not available for hypercholesterolemia, while the same for hypertension was 50.4%. Various determinants are responsible for low adherence such as patient-level barriers, physician-related barriers, and health system-related issues. The review reveals that hypertension and hypercholesterolemia are poorly controlled in Argentina. Although further studies with more accurate data are needed to confirm these results, they should alert the medical community and the public health institutions to take urgent corrective actions.

Cardiovascular Disease Risk in Rural Adults

BACKGROUND

Cardiovascular disease (CVD) risk reduction programs led by a nurse/community health worker team are effective in urban settings. This strategy has not been adequately tested in rural settings.

OBJECTIVE

A pilot study was conducted to examine the feasibility of implementing an evidence-based CVD risk reduction intervention adapted to a rural setting and evaluate the potential impact on CVD risk factors and health behaviors.

METHODS

A 2-group, experimental, repeated-measures design was used; participants were randomized to a standard primary care group (n = 30) or an intervention group (n = 30) where a registered nurse/community health worker team delivered self-management strategies in person, by phone, or by videoconferencing. Outcomes were measured at baseline and at 3 and 6 months. A sample of 60 participants was recruited and retained in the study.

RESULTS

In-person (46.3%) and telephone (42.3%) meetings were used more than the videoconferencing application (9%). Mean change at 3 months differed significantly between the intervention and control groups for CVD risk (-1.0 [95% confidence interval (CI), -3.1 to 1.1] vs +1.4 [95% CI, -0.4 to 3.3], respectively), total cholesterol (-13.2 [95% CI, -32.1 to 5.7.] vs +21.0 [95% CI, 4.1-38.1], respectively), and low-density lipoprotein (-11.5 [95% CI, -30.8 to 7.7] vs +19.6 [95% CI, 1.9-37.2], respectively). No between-group differences were seen in high-density lipoprotein, blood pressure, or triglycerides.

CONCLUSIONS

Participants receiving the nurse/community health worker-delivered intervention improved their risk CVD profiles, total cholesterol, and low-density lipoprotein levels at 3 months. A larger study to explore the intervention impact on CVD risk factor disparities experienced by rural populations is warranted.

Effect of Telehealth Interventions on Blood Pressure Control: A Meta-analysis

The aim of this study was to find out the effects of telehealth interventions on blood pressure control by conducting a meta-analysis. Six databases were used. The literature review covered the period between December 1, 2020, and January 26, 2021. The meta-analysis was conducted by comprehensive Meta-Analysis Software version 2.2. Categorical variables were analyzed by odds ratios at a confidence interval of 95%. In data formatting and analysis, independent groups (sample size, P value); independent groups (mean, SD); Cohen's d, SE; and paired groups (N, P value) were used. The bias risk was assessed based on the Revised Cochrane Risk-of-Bias Tool for Randomized Trials. Total sample size including 22 studies was 11 120. It was determined that interventions performed through telehealth applications had a significant effect on blood pressure control (odds ratio = -0.14; 95% confidence interval = -0.20 to -0.08; P < .001). In telehealth applications, blood pressure values decreased more when the application was performed through a Web site (-0.31; 95% confidence interval = -0.49 to -0.13), duration of the intervention was 12 months or shorter (-0.18; 95% confidence interval = -0.28 to -0.010), stroke developed in case of hypertension (-0.31, 95% confidence interval = -0.76 to 0.12), and the study was conducted in the Far East countries (-0.24; 95% confidence interval = 0.40 to -0.07). Interventions with telehealth applications are effective in blood pressure management. PROSPERO ID: CRD42021228536.

Effectiveness of financial incentives and message framing to improve clinic visits of people with moderate-high cardiovascular risk in a vulnerable population in Argentina: A cluster randomized trial

In Argentina, cardiovascular disease (CVD) represents the first cause of mortality, but effective coverage for CVD prevention is low. Strategies based on behavioral economics are emerging worldwide as key pieces to increase the effectiveness of CVD prevention approaches. The aim of this study was to evaluate whether the implementation of two strategies based on financial incentives and framing increased attendance to clinical visits as proposed by the national program for CVD risk factors management among the uninsured and poor population with moderate or high CVD risk in Argentina. We conducted a cluster randomized trial in nine primary care clinics (PCCs) in Argentina. Three PCCs were assigned to financial incentives, 3 to framing-text messages (SMS) and 3 to usual care. The incentive scheme included a direct incentive for attending the first clinical visit and the opportunity to participate in a lottery when attending a second clinical visit. The framing-text messages group received messages with a gain-frame format. The main outcome was the proportion of participants who attended the clinical visits. A total of 918 individuals with a risk ≥10% of suffering a CVD event within the next 10 years were recruited to participate in the study. The financial incentive group had a significantly higher percentage of participants who attended the first (59.0% vs 33.9%, p˂ 0.001) and the follow up visit (34.4% and 16.6%, p˂ 0.001) compared to control group. However, the framing-SMS group did not show significant differences compared to the control group. TRIAL REGISTRATION: This study is registered at www.clinicaltrials.govNCT03300154.

Mobile phone-based interventions for improving adherence to medication prescribed for the primary prevention of cardiovascular disease in adults

BACKGROUND

Cardiovascular disease (CVD) is a major cause of disability and mortality globally. Premature fatal and non-fatal CVD is considered to be largely preventable through the control of risk factors by lifestyle modifications and preventive medication. Lipid-lowering and antihypertensive drug therapies for primary prevention are cost-effective in reducing CVD morbidity and mortality among high-risk people and are recommended by international guidelines. However, adherence to medication prescribed for the prevention of CVD can be poor. Approximately 9% of CVD cases in the EU are attributed to poor adherence to vascular medications. Low-cost, scalable interventions to improve adherence to medications for the primary prevention of CVD have potential to reduce morbidity, mortality and healthcare costs associated with CVD.

OBJECTIVES

To establish the effectiveness of interventions delivered by mobile phone to improve adherence to medication prescribed for the primary prevention of CVD in adults.

SEARCH METHODS

We searched CENTRAL, MEDLINE, Embase, and two other databases on 7 January 2020. We also searched two clinical trials registers on 5 February 2020. We searched reference lists of relevant papers. We applied no language or date restrictions.

SELECTION CRITERIA

We included randomised controlled trials investigating interventions delivered wholly or partly by mobile phones to improve adherence to cardiovascular medications prescribed for the primary prevention of CVD. We only included trials with a minimum of one-year follow-up in order that the outcome measures related to longer-term, sustained medication adherence behaviours and outcomes. Eligible comparators were usual care or control groups receiving no mobile phone-delivered component of the intervention.

DATA COLLECTION AND ANALYSIS

We used standard methodological procedures recommended by Cochrane. The main outcomes of interest were objective measures of medication adherence (blood pressure (BP) and cholesterol), CVD events, and adverse events. We contacted study authors for further information when this was not reported.

MAIN RESULTS

We included 14 trials with 25,633 randomised participants. Participants were recruited from community-based primary and tertiary care or outpatient clinics. The interventions varied widely from those delivered solely through short messaging service (SMS) to those involving a combination of modes of delivery, such as SMS in addition to healthcare worker training, face-to-face counselling, electronic pillboxes, written materials, and home blood pressure monitors. Some interventions only targeted medication adherence, while others additionally targeted lifestyle changes such as diet and exercise. Due to heterogeneity in the nature and delivery of the interventions and study populations, we reported most results narratively, with the exception of two trials which were similar enough to meaningfully pool in meta-analyses. The body of evidence for the effect of mobile phone-based interventions on objective outcomes of adherence (BP and cholesterol) was of low certainty, due to most trials being at high risk of bias, and inconsistency in outcome effects. Two trials were at low risk of bias. Among five trials (total study enrolment: 5441 participants) recording low-density lipoprotein cholesterol (LDL-C), two studies found evidence for a small beneficial intervention effect on reducing LDL-C (-5.30 mg/dL, 95% confidence interval (CI) -8.30 to -2.30; and -9.20 mg/dL, 95% CI -17.70 to -0.70). The other three studies found results varying from a small reduction (-7.7 mg/dL) to a small increase in LDL-C (0.77 mg/dL). All of which had wide confidence intervals that included no effect. Across 13 studies (25,166 participants) measuring systolic blood pressure, effect estimates ranged from a large reduction (MD -12.45 mmHg, 95% CI -15.02 to -9.88) to a small increase (MD 2.80 mmHg, 95% CI 0.30 to 5.30). We found a similar range of effect estimates for diastolic BP, ranging from -12.23 mmHg (95% CI 14.03 to -10.43) to 1.64 mmHg (95% CI -0.55 to 3.83) (11 trials, 19,716 participants). Four trials showed intervention benefits for systolic and diastolic BP with confidence intervals excluding no effect, and among these were all three of the trials evaluating self-monitoring of blood pressure with mobile phone-based telemedicine. The fourth trial included SMS and provider support (with additional varied features). Seven studies (19,185 participants) reported 'controlled' BP as an outcome, and intervention effect estimates varied from negligible effects (odds ratio (OR) 1.01, 95% CI 0.76 to 1.34) to large improvements in BP control (OR 2.41, 95% CI: 1.57 to 3.68). The three trials of clinician training or decision support combined with SMS (with additional varied features) had confidence intervals encompassing benefits and harms, with point estimates close to zero. Pooled analyses of the two trials of interventions solely delivered through SMS were indicative of little or no beneficial intervention effect on systolic BP (MD -1.55 mmHg, 95% CI -3.36 to 0.25; I² = 0%) and small increases in controlled BP (OR 1.32, 95% CI 1.06 to 1.65; I² = 0%). Based on four studies (12,439 participants), there was very low-certainty evidence (downgraded twice for imprecision and once for risk of bias) relating to the intervention effect on combined (fatal and non-fatal) CVD events. Two studies (2535 participants) provided low-certainty evidence for the effect of the intervention on cognitive outcomes, with little or no difference between trial arms for perceived quality of care and satisfaction with treatment. There was moderate-certainty evidence (downgraded due to risk of bias) that the interventions did not cause harm, based on six studies (8285 participants). Three studies reported no adverse events attributable to the intervention. One study reported no difference between groups in experience of adverse effects of statins, and that no participants reported intervention-related adverse events. One study stated that potential side effects were similar between groups. One study reported a similar number of deaths in each arm, but did not provide further information relating to potential adverse events.

AUTHORS' CONCLUSIONS

There is low-certainty evidence on the effects of mobile phone-delivered interventions to increase adherence to medication prescribed for the primary prevention of CVD. Trials of BP self-monitoring with mobile-phone telemedicine support reported modest benefits. One trial at low risk of bias reported modest reductions in LDL cholesterol but no benefits for BP. There is moderate-certainty evidence that these interventions do not result in harm. Further trials of these interventions are warranted.

An innovative approach to improve the detection and treatment of risk factors in poor urban settings: a feasibility study in Argentina

BACKGROUND

The effective management of cardiovascular (CVD) prevention among the population with exclusive public health coverage in Argentina is low since less than 30% of the individuals with predicted 10-year CVD risk ≥10% attend a clinical visit for CVD risk factors control in the primary care clinics (PCCs).

METHODS

We conducted a non-controlled feasibility study using a mixed methods approach to evaluate acceptability, adoption and fidelity of a multi-component intervention implemented in the public healthcare system. The eligibility criteria were having exclusive public health coverage, age ≥ 40 years, residence in the PCC's catchment area and 10-year CVD risk ≥10%. The multi-component intervention addressed (1) system barriers through task shifting among the PCC's staff, protected medical appointments slots and a new CVD form and (2) Provider barriers through training for primary care physicians and CHW and individual barriers through a home-based intervention delivered by community health workers (CHWs).

RESULTS

A total of 185 participants were included in the study. Of the total number of eligible participants, 82.2% attended at least one clinical visit for risk factor control. Physicians intensified drug treatment in 77% of participants with BP ≥140/90 mmHg and 79.5% of participants with diabetes, increased the proportion of participants treated according to GCP from 21 to 32.6% in hypertensive participants, 7.4 to 33.3% in high CVD risk and 1.4 to 8.7% in very high CVD risk groups. Mean systolic and diastolic blood pressure were lower at the end of follow up (156.9 to 145.4 mmHg and 92.9 to 88.9 mmHg, respectively) and control of hypertension (BP < 140/90 mmHg) increased from 20.3 to 35.5%.

CONCLUSION

The proposed CHWs-led intervention was feasible and well accepted to improve the detection and treatment of risk factors in the poor population with exclusive public health coverage and with moderate or high CVD risk at the primary care setting in Argentina. Task sharing activities with CHWs did not only stimulate teamwork among PCC staff, but it also improved quality of care. This study showed that community health workers could have a more active role in the detection and clinical management of CVD risk factors in low-income communities.

Utilising digital health to improve medication-related quality of care for hypertensive patients: An integrative literature review

BACKGROUND

Hypertension or high blood pressure is considered as a significant contributor and risk factor to many serious conditions, approximately 1.13 billion people have hypertension globally. However, the integrated technologies can upscale health provisions and improve the effectiveness of the healthcare system. WHO has recommended that the digital health interventions (DHIs) and the Health System Challenges should be used in tandem in addressing health.

AIM

To summarise the outcomes from a range of research which investigated the use of DHI to improve the medication-related quality of care (MRQOC) for hypertensive patients.

METHODS

An integrative literature review was undertaken in October 2019 using the Medline, Cumulative Index of Nursing and Allied Health Literature, and Scopus databases for publications in English with no date limit.

RESULTS

In total, 18433 participants were included in this review from 28 studies meeting the eligibility criteria. There were 19 DHI identified within eight countries: Australia, Canada, India, South Korea, Lebanon, Pakistan, the United Kingdom, and the United States of America. The DHI were provided as community-based, clinical-based and home-based program through mobile phone, mobile health system, short message service, and telehealth, digital medicine, and online healthcare (web-based). The mean age of participants was 59 ranging from 42 to 81 years with an average mean systolic blood pressure of 143.3 mmHg at baseline, ranging from 129.0 mmHg to 159.0 mmHg. The proportion of male participants ranged from 13.9% to 92.0%. Eighteen interventions showed evidence of reduction in blood pressure and improvement of self-management in relation to medication adherence and blood pressure control. The reduction of systolic blood pressure ranged between 1.9 mmHg and 26.0 mmHg, with a mean of 10.8 mmHg. The digital health was found positively associated with the MRQOC for hypertensive patients such as improvement in medication adherence and medication management; better blood pressure control; maintaining follow-ups appointment and self-management; increasing access to healthcare particularly among patients living in rural area; and reducing adverse events. However, some interventions found no significant effect on hypertensive care. The follow up duration varied between 2 mo and 18 mo with an average attrition rate of 10.1%, ranging from 0.0% to 17.4%.

CONCLUSION

Utilising digital health innovation for hypertensive care in different settings with tailored interventions positively impacted on MRQOC leading to an improvement of patient outcomes and their quality of life. Nevertheless, inconclusive findings were found in some interventions, and inconsistent outcomes between DHI were noted. A future research and evidence-based DHI for hypertension or chronic diseases should be developed through the evidence-to-decision framework and guidelines.

Understanding the rise of cardiometabolic diseases in low- and middle-income countries

Increases in the prevalence of noncommunicable diseases (NCDs), particularly cardiometabolic diseases such as cardiovascular disease, stroke and diabetes, and their major risk factors have not been uniform across settings: for example, cardiovascular disease mortality has declined over recent decades in high-income countries but increased in low- and middle-income countries (LMICs). The factors contributing to this rise are varied and are influenced by environmental, social, political and commercial determinants of health, among other factors. This Review focuses on understanding the rise of cardiometabolic diseases in LMICs, with particular emphasis on obesity and its drivers, together with broader environmental and macro determinants of health, as well as LMIC-based responses to counteract cardiometabolic diseases.

Using mH ealth Tools to Improve Access and Coverage of People With Public Health Insurance and High Cardiovascular Disease Risk in Argentina: A Pragmatic Cluster Randomized Trial

Background Control of cardiovascular disease ( CVD ) risk factors is suboptimal in Argentina, despite the government's provision of free blood pressure and cholesterol-lowering medications for people without private insurance. We assessed whether community health workers' use of an integrated mH ealth tool encourages patients to attend visits at primary care clinics to improve CVD risk management in 2 provinces of Argentina. Methods and Results We conducted a pragmatic cluster randomized trial, with primary care clinics randomly assigned to intervention or control. Eligible people were aged 40 to 79 years, lived in the catchment area of primary care clinics, possessed a mobile phone for personal use, had public health coverage, and a 10-year CVD risk ≥10%. In the control arm, community health workers screened for CVD risk using a paper-based tool and encouraged high-risk people to present to the primary care clinics for care. In the intervention arm, community health workers used the mH ealth tool to calculate CVD risk and confirm a scheduled physician appointment. Primary outcomes were the proportion of participants who attended a baseline visit and completed at least 1 follow-up, respectively. We enrolled 755 people (376 interventions; 379 controls). Intervention participants were significantly more likely to complete baseline visits (49.4% versus 13.5%, P value 0.0008) and follow-up visits (31.9% versus 7.7%; P value 0.0041). The use of chronic medication and current smoking were significant predictors of primary outcomes. Conclusions Use of mH ealth tools identifies patients at high CVD risk in their home, increases the likelihood of participating in chronic CVD risk factor management, and strengthens referrals. Clinical Trial Registration URL : http://www.clinicaltrials.gov . Unique identifier: NCT 02913339.