Mobile phone text messaging for medication adherence in secondary prevention of cardiovascular disease.

BACKGROUND: Cardiovascular diseases (CVDs) are the leading cause of death globally, accounting for almost 18 million deaths annually. People with CVDs have a five times greater chance of suffering a recurrent cardiovascular event than people without known CVDs. Although drug interventions have been shown to be cost-effective in reducing the risk of recurrent cardiovascular events, adherence to medication remains suboptimal. As a scalable and cost-effective approach, mobile phone text messaging presents an opportunity to convey health information, deliver electronic reminders, and encourage behaviour change. However, it is uncertain whether text messaging can improve medication adherence and clinical outcomes. This is an update of a Cochrane review published in 2017. OBJECTIVES: To evaluate the benefits and harms of mobile phone text messaging for improving medication adherence in people with CVDs compared to usual care. SEARCH METHODS: We searched CENTRAL, MEDLINE, Embase, four other databases, and two trial registers. We also checked the reference lists of all primary included studies and relevant systematic reviews and meta-analyses. The date of the latest search was 30 August 2023. SELECTION CRITERIA: We included randomised controlled trials (RCTs) with participants with established arterial occlusive events. We included trials investigating interventions using short message service (SMS) or multimedia messaging service (MMS) with the aim of improving adherence to medication for the secondary prevention of cardiovascular events. The comparator was usual care. We excluded cluster-RCTs and quasi-RCTs. DATA COLLECTION AND ANALYSIS: We used standard Cochrane methods. Our primary outcomes were medication adherence, fatal cardiovascular events, non-fatal cardiovascular events, and combined CVD event. Secondary outcomes were low-density lipoprotein cholesterol for the effect of statins, blood pressure for antihypertensive drugs, heart rate for the effect of beta-blockers, urinary 11-dehydrothromboxane B2 for the antiplatelet effects of aspirin, adverse effects, and patient-reported experience. We used GRADE to assess the certainty of the evidence for each outcome. MAIN RESULTS: We included 18 RCTs involving a total of 8136 participants with CVDs. We identified 11 new studies in the review update and seven studies in the previous version of the review. Participants had various CVDs including acute coronary syndrome, coronary heart disease, stroke, myocardial infarction, and angina. All studies were conducted in middle- and high-income countries, with no studies conducted in low-income countries. The mean age of participants was 53 to 64 years. Participants were recruited from hospitals or cardiac rehabilitation facilities. Follow-up ranged from one to 12 months. There was variation in the characteristics of text messages amongst studies (e.g. delivery method, frequency, theoretical grounding, content used, personalisation, and directionality). The content of text messages varied across studies, but generally included medication reminders and healthy lifestyle information such as diet, physical activity, and weight loss. Text messages offered advice, motivation, social support, and health education to promote behaviour changes and regular medication-taking. We assessed risk of bias for all studies as high, as all studies had at least one domain at unclear or high risk of bias. Medication adherence Due to different evaluation score systems and inconsistent definitions applied for the measurement of medication adherence, we did not conduct meta-analysis for medication adherence. Ten out of 18 studies showed a beneficial effect of mobile phone text messaging for medication adherence compared to usual care, whereas the other eight studies showed either a reduction or no difference in medication adherence with text messaging compared to usual care. Overall, the evidence is very uncertain about the effects of mobile phone text messaging for medication adherence when compared to usual care. Fatal cardiovascular events Text messaging may have little to no effect on fatal cardiovascular events compared to usual care (odds ratio 0.83, 95% confidence interval (CI) 0.47 to 1.45; 4 studies, 1654 participants; low-certainty evidence). Non-fatal cardiovascular events We found very low-certainty evidence that text messaging may have little to no effect on non-fatal cardiovascular events. Two studies reported non-fatal cardiovascular events, neither of which found evidence of a difference between groups. Combined CVD events We found very low-certainty evidence that text messaging may have little to no effect on combined CVD events. Only one study reported combined CVD events, and did not find evidence of a difference between groups. Low-density lipoprotein cholesterol Text messaging may have little to no effect on low-density lipoprotein cholesterol compared to usual care (mean difference (MD) -1.79 mg/dL, 95% CI -4.71 to 1.12; 8 studies, 4983 participants; very low-certainty evidence). Blood pressure Text messaging may have little to no effect on systolic blood pressure (MD -0.93 mmHg, 95% CI -3.55 to 1.69; 8 studies, 5173 participants; very low-certainty evidence) and diastolic blood pressure (MD -1.00 mmHg, 95% CI -2.49 to 0.50; 5 studies, 3137 participants; very low-certainty evidence) when compared to usual care. Heart rate Text messaging may have little to no effect on heart rate compared to usual care (MD -0.46 beats per minute, 95% CI -1.74 to 0.82; 4 studies, 2946 participants; very low-certainty evidence). AUTHORS' CONCLUSIONS: Due to limited evidence, we are uncertain if text messaging reduces medication adherence, fatal and non-fatal cardiovascular events, and combined cardiovascular events in people with cardiovascular diseases when compared to usual care. Furthermore, text messaging may result in little or no effect on low-density lipoprotein cholesterol, blood pressure, and heart rate compared to usual care. The included studies were of low methodological quality, and no studies assessed the effects of text messaging in low-income countries or beyond the 12-month follow-up. Long-term and high-quality randomised trials are needed, particularly in low-income countries.

Utilisation of Chronic Disease and Mental Health Management Services and Cardioprotective Medication Prescriptions in Primary Care for Patients With Cardiovascular Diseases and Cancer: A Cross-Sectional Study.

BACKGROUND: Cardiovascular disease (CVD) is a leading cause of morbidity and mortality among cancer survivors. Mental health is considered an important risk factor affecting the treatment of cardiovascular disease. However, little is known about the use of secondary prevention strategies for CVD in patients with both cancer and CVD. This study aimed to compare the utilisation of primary care chronic disease management plans, mental health care and guideline-indicated cardioprotective medications among CVD patients with and without cancer. METHODS: Retrospective cross-sectional study utilising clinical data of patients with CVD from 50 Australian primary care practices. Outcomes included the use of chronic disease management plans, mental health care, guideline-indicated cardioprotective medications and influenza vaccination. Logistic regression, accounting for demographic and clinical covariates and clustering effects by practices, was used to compare the two groups. RESULTS: Of the 15,040 patients with CVD, 1,486 patients (9.9%) concurrently had cancer. Patients with cancer, compared to those without, were older (77.6 vs 71.8 years, p<0.001), more likely to drink alcohol (62.6% vs 55.7%, p<0.001), have lower systolic (130.3±17.8 vs 132.5±21.1 mmHg, p<0.001) and diastolic (72.2±11 vs 75.3±34 mmHg, p<0.001) blood pressure. Although suboptimal for both groups, patients with cancer were significantly more likely to have general practice management plans (GPMPs) (51.4% vs 43.2%, p<0.001), coordination of team care arrangements (TCAs) (46.2% vs 37.0%, p<0.001), have a review of either GPMP or TCA (42.8% vs 34.7%, p<0.001), have a mental health treatment consultation (15.4% vs 10.5%, p=0.004) and be prescribed blood pressure-lowering medications (70.1% vs 66.0%, p=0.002). However, there were no statistical differences in the prescription of lipid-lowering or antiplatelet medications. After adjustments for covariates and multiple testing, patients with cancer did not show a difference in GPMPs, TCAs, and a review of either, but were more likely to receive mental health treatment consultations than those without cancer (odds ratio 1.76; 95% confidence interval 1.42-2.19). CONCLUSIONS: Less than half of patients with CVD had a GPMP, TCA or review of either. Although those patients with cancer were more likely to receive these interventions, still around half the patients did not. Medicare-funded GPMPs, TCAs and a review of either GPMP or TCA were underutilised, and future studies should seek to identify ways of improving access to these services.

The evaluation of the Plan-Do-Study-Act cycles for a healthcare quality improvement intervention in primary care.

BACKGROUND: The Plan-Do-Study-Act (PDSA) cycle is an iterative framework that has been gaining traction in primary care for quality improvement. However, its implementation remains understudied. This study evaluated the completion, achievement of goal, content quality, and enablers and barriers associated with completion of high-quality PDSA cycles in cardiovascular disease management in general practices. METHODS: This study analysed data from intervention practices of the QUality improvement in primary care to prevent hospitalisations and improve Effectiveness and efficiency of care for people Living people with coronary heart disease (QUEL) study. Content quality of cycles was assessed using a scoring system created based on established criteria of ideal PDSA cycles in the healthcare context. Practice-level factors associated with completion and cycles achieving the planned goal were explored through logistic regression models, and with content quality score through linear regression model. Enablers and barriers were assessed using thematic analysis of practices' responses to the PDSA sections. RESULTS: Ninety-seven cycles were reported by 18/26 (69%) practices. Seventy-seven percent of the cycles were completed and 68% achieved the planned goal. Content quality was low, with a median score of 56% (interquartile interval: 44%, 67%). Odds of cycles that were completed and achieved what was planned increased by 3.6- and 9.6-fold, respectively, with more general practitioners (GPs) within practices. Content quality was higher by 15% with more GPs. Lack of interprofessional engagement was a barrier to implementation. CONCLUSIONS: Cycles were well completed, but poor in content quality, with high variability between practices. Human or capital resources and organisational support may be critical for the completion and cycles achieving the planned goals.

Integrated Text Messaging (ITM) for people attending cardiac and pulmonary rehabilitation: A multicentre randomised controlled trial.

BACKGROUND: People living with cardiac and respiratory disease require improved post-hospital support that is readily available and efficient. OBJECTIVES: To 1) test the effectiveness of an automated, semi-personalised text message support program on clinical and lifestyle outcomes amongst people attending cardiac and pulmonary rehabilitation. Also, 2) to evaluate the program's acceptability and utility using patient-reported outcome and experience measures. METHODS: Multicentre randomised controlled trial (3:1, intervention:control) amongst cardiac and pulmonary rehabilitation attendees. Control received usual care (no message program). Intervention also received a 6-month text message lifestyle and support program. Primary outcome was 6-minute walk distance (6MWD). Secondary outcomes included clinical measures, lifestyle, patient-reported outcome and experience measures, medication adherence and rehabilitation attendance. RESULTS: A total of 316 participants were recruited. They had a mean age of 66.7 (SD 10.1) years. Sixty percent were male (190/316) and 156 were cardiac rehabilitation participants. The cohort's mean baseline 6MWD was higher in the intervention than the control group. At 6 months, 6MWD improved in both groups; it was significantly greater amongst intervention than control participants (unadjusted mean difference of 43.4 m, 95 % CI 4.3 to 82.4; P = 0.0296). After adjustment for baseline values, there was no significant difference between intervention and control groups for 6MWD (adjusted mean difference 2.2 m, -21.2 to 25.6; P = 0·85), medication adherence, or cardiovascular risk factors. At 6-month follow-up, intervention participants reported significantly lower depression scores (adjusted mean difference -1.3, 95 % CI -2.2 to -0.3; P = 0.0124) and CAT scores (adjusted mean difference -3.9, 95 % CI -6.6 to -1.3; P = 0.0038), and significantly lower anxiety (adjusted mean difference -1.1, 95 %CI -2.1 to 0; P = 0.0456). Most participants (86 %) read most of their messages and strongly/agreed that the intervention was easy to understand (99 %) and useful (86 %). CONCLUSIONS: An educational and supportive text message program for cardiac and pulmonary rehabilitation attendees improved anxiety and depression plus program attendance. The program was acceptable to, and useful for, participants and would be suitable for implementation alongside rehabilitation programs. TRIAL REGISTRATION NUMBER: ACTRN12616001167459.

Age-Related Variation in the Provision of Primary Care Services and Medication Prescriptions for Patients with Cardiovascular Disease.

As population aging progresses, demands of patients with cardiovascular diseases (CVD) on the primary care services is inevitably increased. However, the utilisation of primary care services across varying age groups is unknown. The study aims to explore age-related variations in provision of chronic disease management plans, mental health care, guideline-indicated cardiovascular medications and influenza vaccination among patients with CVD over differing ages presenting to primary care. Data for patients with CVD were extracted from 50 Australian general practices. Logistic regression, accounting for covariates and clustering effects by practices, was used for statistical analysis. Of the 14,602 patients with CVD (mean age, 72.5 years), patients aged 65-74, 75-84 and ≥85 years were significantly more likely to have a GP management plan prepared (adjusted odds ratio (aOR): 1.6, 1.88 and 1.55, respectively, p < 0.05), have a formal team care arrangement (aOR: 1.49, 1.8, 1.65, respectively, p < 0.05) and have a review of either (aOR: 1.63, 2.09, 1.93, respectively, p < 0.05) than those < 65 years. Patients aged ≥ 65 years were more likely to be prescribed blood-pressure-lowering medications and to be vaccinated for influenza. However, the adjusted odds of being prescribed lipid-lowering and antiplatelet medications and receiving mental health care were significantly lowest among patients ≥ 85 years. There are age-related variations in provision of primary care services and pharmacological therapy. GPs are targeting care plans to older people who are more likely to have long-term conditions and complex needs.

Electronic Health Interventions for Patients With Breast Cancer: Systematic Review and Meta-Analyses.

PURPOSE: Ongoing supportive care using electronic health (eHealth) interventions has the potential to provide remote support and improve health outcomes for patients with breast cancer. This study aimed to evaluate the effectiveness of eHealth interventions on patient-reported outcomes (quality of life [QOL], self-efficacy, and mental or physical health) for patients during and after breast cancer treatment and patient-reported experience measures (acceptability and engagement). METHODS: Systematic review with meta-analyses (random-effects model) of randomized controlled trials was conducted following Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines. Nine databases were searched using a prespecified search strategy. Patient-directed eHealth interventions for adult patients during or after active breast cancer treatment measuring QOL, self-efficacy, and mental (depressive, anxiety, and distress symptoms) or physical (physical activity, nutrition, and fatigue) health outcomes were included. Data from eligible full-text articles were independently extracted by six observers. RESULTS: Thirty-two unique studies (4,790 patients) were included. All were health self-management interventions, and most were multicomponent (videos, forums, and electronic reminder systems) websites. Meta-analyses revealed a significant effect of eHealth interventions on QOL (standardized mean difference [SMD], 0.20 [95% CI, 0.03 to 0.36]), self-efficacy (SMD, 0.45 [95% CI, 0.24 to 0.65]), distress (SMD, -0.41 [95% CI,-0.63 to -0.20]), and fatigue (SMD, -0.37 [95% CI, -0.61 to -0.13]). Twenty-five studies (78.1%) measured patient-reported experience measures. Acceptability (n = 9) was high, with high ratings for satisfaction (range, 71%-100%), usefulness (range, 71%-95%), and ease-of-use (range, 73%-92%). Engagement (n = 25) decreased over time, but disease-focused information and interactive support were most engaging. CONCLUSION: eHealth interventions may provide an acceptable and effective strategy for improving QOL, distress, self-efficacy, and fatigue among patients with breast cancer.

Data-driven quality improvement program to prevent hospitalisation and improve care of people living with coronary heart disease: Protocol for a process evaluation.

BACKGROUND: Practice-level quality improvement initiatives using rapidly advancing technology offers a multidimensional approach to reduce cardiovascular disease burden. For the "QUality improvement in primary care to prevent hospitalisations and improve Effectiveness and efficiency of care for people Living with heart disease" (QUEL) cluster randomised controlled trial, a 12-month quality improvement intervention was designed for primary care practices to use data and implement progressive changes using "Plan, Do, Study, Act" cycles within their practices with training in a series of interactive workshops. This protocol aims to describe the systematic methods to conduct a process evaluation of the data-driven intervention within the QUEL study. METHODS: A mixed-method approach will be used to conduct the evaluation. Quantitative data collected throughout the intervention period, via surveys and intervention materials, will be used to (1) identify the key elements of the intervention and how, for whom and in what context it was effective; (2) determine if the intervention is delivered as intended; and (3) describe practice engagement, commitment and capacity associated with various intervention components. Qualitative data, collected via semi-structured interviews and open-ended questions, will be used to gather in-depth understanding of the (1) satisfaction, utility, barriers and enablers; (2) acceptability, uptake and feasibility, and (3) effect of the COVID-19 pandemic on the implementation of the intervention. CONCLUSION: Findings from the evaluation will provide new knowledge on the implementation of a complex, multi-component intervention at practice-level using their own electronic patient data to enhance secondary prevention of cardiovascular disease. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry (ANZCTR) number ACTRN12619001790134.

Gender Comparison of Receipt of Government-Funded Health Services and Medication Prescriptions for the Management of Patients With Cardiovascular Disease in Primary Care.

BACKGROUND: Cardiovascular disease (CVD) and risk factors remains a major burden in terms of disease, disability, and death in the Australian population and mental health is considered as an important risk factor affecting cardiovascular disease. A multidisciplinary collaborative approach in primary care is required to ensure an optimal outcome for managing cardiovascular patients with mental health issues. Medicare introduced numerous primary care health services and medications that are subsidised by the Australian government in order to provide a more structured approach to reduce and manage CVD. However, the utilisation of these services nor gender comparison for CVD management in primary care has been explored. Therefore, the aim is to compare the provision of subsidised chronic disease management plans (CDMPs), mental health care and prescription of guideline-indicated medications to men and women with CVD in primary care practices for secondary prevention. METHODS: De-identified data for all active patients with CVD were extracted from 50 Australian primary care practices. Outcomes included the frequency of receipt of CDMPs, mental health care and prescription of evidence-based medications. Analyses adjusted for demography and clinical characteristics, stratified by gender, were performed using logistic regression and accounted for clustering effects by practices. RESULTS: Data for 14,601 patients with CVD (39.4% women) were collected. The odds of receiving the CDMPs was significantly greater amongst women than men (preparation of general practice management plan [GPMP]: (46% vs 43%; adjusted OR [95% CI]: 1.22 [1.12, 1.34]). Women were more likely to have diagnosed with mental health issues (32% vs 20%, p<0.0001), however, the adjusted odds of men and women receiving any government-subsidised mental health care were similar. Women were less often prescribed blood pressure, lipid-lowering and antiplatelet medications. After adjustment, only an antiplatelet medication or agent was less likely to be prescribed to women than men (44% vs 51%; adjusted OR [95% CI]: 0.84 [0.76, 0.94]). CONCLUSION: Women were more likely to receive CDMPs but less likely to receive antiplatelet medications than men, no gender difference was observed in the receipt of mental health care. However, the receipt of the CDMPs and the mental health treatment consultations were suboptimal and better use of these existing services could improve ongoing CVD management.

An Internet-Based Intervention for Cardiovascular Disease Management Integrated With Primary Care Electronic Health Records: Mixed Methods Evaluation of Implementation Fidelity and User Engagement.

BACKGROUND: Growing evidence supports the benefits of eHealth interventions to increase patient engagement and improve outcomes for a range of conditions. However, ineffective program delivery and usage attrition limit exposure to these interventions and may reduce their effectiveness. OBJECTIVE: This study aims to evaluate the delivery fidelity of an eHealth intervention, describe use patterns, compare outcomes between low and high users, and identify mediating factors on intervention delivery and receipt. METHODS: This is a mixed methods study of an internet-based intervention being evaluated for effectiveness in a randomized controlled trial (RCT). The intervention comprised medication and cardiovascular disease (CVD) risk data uploaded from the primary care electronic health record (EHR); interactive, personalized CVD risk score estimation; goal setting and self-monitoring; an interactive social forum; and optional receipt of heart health messages. Fidelity was assessed over 12 months. Trial outcomes were compared between low and high users. Data sources included program delivery records, web log data, trial data, and thematic analysis of communication records. RESULTS: Most participants in the intervention group (451/486, 93%) had an initial training session conducted by telephone (413/447, 92.4% of participants trained), with a mean duration of 44 minutes (range 10-90 minutes). Staff conducted 98.45% (1776/1804) of the expected follow-ups, mostly by telephone or email. Of the 451 participants who commenced log-ins, 46.8% (211) were categorized as low users (defined as at least one log-in in 3 or fewer months of follow-up), 40.4% (182) were categorized as high users (at least one log-in in more than 3 months of follow-up), and 12.8% (58) were nonadopters (no log-ins after their training session). The mean log-in frequency was 3-4 per month in ongoing users. There was no significant difference between the groups in the primary trial outcome of adherence to guideline-recommended medications (P=.44). In unadjusted analyses, high users had significantly greater eHealth literacy scores (P=.003) and were more likely to meet recommended weekly targets for fruit (P=.03) and fish (P=.004) servings; however, the adjusted findings were not significant. Interactive screen use was highest for goal tracking and lowest for the chat forum. Screens with EHR-derived data held only an early interest for most users. Fidelity measures (reach, content, dose delivered, and dose received) were influenced by the facilitation strategies used by staff, invisible qualities of staff-participant communication, and participants' responsiveness to intervention attributes. CONCLUSIONS: A multifeature internet-based intervention was delivered with high fidelity to the RCT protocol and was regularly used by 40.4% (182/451) of users over 12 months. Higher log-in frequency as an indicator of greater intervention exposure was not associated with statistically significant improvements in eHealth literacy scores, lifestyle changes, or clinical outcomes. Attributes of the intervention and individualized support influenced initial and ongoing use.

A digital health intervention for cardiovascular disease management in primary care (CONNECT) randomized controlled trial.

Digital health applications (apps) have the potential to improve health behaviors and outcomes. We aimed to examine the effectiveness of a consumer web-based app linked to primary care electronic health records (EHRs). CONNECT was a multicenter randomized controlled trial involving patients with or at risk of cardiovascular disease (CVD) recruited from primary care (Clinical Trial registration ACTRN12613000715774). Intervention participants received an interactive app which was pre-populated and refreshed with EHR risk factor data, diagnoses and, medications. Interactive risk calculators, motivational messages and lifestyle goal tracking were also included. Control group received usual health care. Primary outcome was adherence to guideline-recommended medications (≥80% of days covered for blood pressure (BP) and statin medications). Secondary outcomes included attainment of risk factor targets and eHealth literacy. In total, 934 patients were recruited; mean age 67.6 (±8.1) years. At 12 months, the proportion with >80% days covered with recommended medicines was low overall and there was no difference between the groups (32.8% vs. 29.9%; relative risk [RR] 1.07 [95% CI, 0.88-1.20] p = 0.49). There was borderline improvement in the proportion meeting BP and LDL targets in intervention vs. control (17.1% vs. 12.1% RR 1.40 [95% CI, 0.97-2.03] p = 0.07). The intervention was associated with increased attainment of physical activity targets (87.0% intervention vs. 79.7% control, p = 0.02) and e-health literacy scores (72.6% intervention vs. 64.0% control, p = 0.02). In conclusion, a consumer app integrated with primary health care EHRs was not effective in increasing medication adherence. Borderline improvements in risk factors and modest behavior changes were observed.

QUality improvement in primary care to prevent hospitalisations and improve Effectiveness and efficiency of care for people Living with coronary heart disease (QUEL): protocol for a 24-month cluster randomised controlled trial in primary care.

BACKGROUND: Cardiovascular disease (CVD), including coronary heart disease (CHD) and stroke, is the leading cause of death and disability globally. A large proportion of mortality occurs in people with prior CHD and effective and scalable strategies are needed to prevent associated deaths and hospitalisations. The aim of this study is to determine if a practice-level collaborative quality improvement program, focused on patients with CHD, reduces the rate of unplanned CVD hospitalisations and major adverse cardiovascular events, and increases the proportion of patients achieving risk factor targets at 24 months. METHODS: Cluster randomised controlled trial (cRCT) to evaluate the effectiveness of a primary care quality improvement program in 50 primary care practices (n~ 10,000 patients) with 24-month follow-up. Eligible practices will be randomised (1:1) to participate in either the intervention (collaborative quality improvement program) or control (standard care) regimens. Outcomes will be assessed based on randomised allocation, according to intention-to-treat. The primary outcome is the proportion of patients with unplanned CVD hospitalisations at 2 years. Secondary outcomes are proportion of patients with major adverse cardiovascular events, proportion of patients who received prescriptions for guideline-recommended medicines, proportion of patients achieving national risk factor targets and proportion with a chronic disease management plan or review. Differences in the proportion of patients who are hospitalised (as well as binary secondary outcomes) will be analysed using log-binomial regression or robust Poisson regression, if necessary. DISCUSSION: Despite extensive research with surrogate outcomes, to the authors' knowledge, this is the first randomised controlled trial to evaluate the effectiveness of a data-driven collaborative quality improvement intervention on hospitalisations, CVD events and cardiovascular risk amongst patients with CHD in the primary care setting. The use of data linkage for collection of outcomes will enable evaluation of this potentially efficient strategy for improving management of risk and outcomes for people with heart disease. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry (ANZCTR) number ACTRN12619001790134 (dated 20th December 2019).

ITM support for patients with chronic respiratory and cardiovascular diseases: a protocol for a randomised controlled trial.

INTRODUCTION: Simple and scalable strategies are needed to improve 'out-of-hospital' support and management for people living with cardiovascular disease (CVD) and respiratory disease. Text messaging via mobile phones has been shown to be effective in helping promote lifestyle change and is supported by quantitative and qualitative evidence. The aim of this study is to test the effectiveness and implementation of a 6-month text messaging support programme for people with CVD and respiratory disease as an addition to cardiac and pulmonary outpatient rehabilitation. METHODS AND ANALYSIS: Pragmatic randomised controlled trial (n=310) to test the effectiveness of a 6-month text message support programme on clinical outcomes in people with CVD and chronic respiratory disease who are attending outpatient cardiac and pulmonary rehabilitation. The study includes a nested process evaluation to inform scalability and implementation across settings. The intervention group will receive a text message support programme comprising five messages per week for 26 weeks and the control group will continue with standard care. The primary outcome is exercise capacity (6 min walk distance). Secondary outcomes include clinical measures (proportion of people meeting the Australian guideline-recommended blood pressure and cholesterol targets), lifestyle outcomes (smoking rates, achievement of national guidelines for nutrition and physical activity), quality of life, mood (Hospital Anxiety and Depression Scale), medication adherence and attendance at and completion of rehabilitation. ETHICS AND DISSEMINATION: Primary ethics approval was received from the Sydney Local Health District Hospital Human Research Ethics Committee and associated Governance committees at sites. Results will be disseminated via the usual scientific forums including peer-reviewed publications and presentations at international conferences. At its conclusion, the study will determine the effectiveness and implementation of a simple programme that aims to improve health outcomes and attendance at rehabilitation for people with CVD and chronic respiratory disease. TRIAL REGISTRATION NUMBER: ACTRN12616001167459.