Using a tailored health information technology- driven intervention to improve health literacy and medication adherence in a Pakistani population with vascular disease (Talking Rx) - study protocol for a randomized controlled trial

Information provision for stroke survivors and their carers

BACKGROUND

A stroke is a sudden loss of brain function caused by lack of blood supply. Stroke can lead to death or physical and cognitive impairment and can have long lasting psychological and social implications. Research shows that stroke survivors and their families are dissatisfied with the information provided and have a poor understanding of stroke and associated issues.

OBJECTIVES

The primary objective is to assess the effects of active or passive information provision for stroke survivors (people with a clinical diagnosis of stroke or transient ischaemic attack (TIA)) or their identified carers. The primary outcomes are knowledge about stroke and stroke services, and anxiety.

SEARCH METHODS

We updated our searches of the Cochrane Stroke Group Specialised Register on 28 September 2020 and for the following databases to May/June 2019: the Cochrane Central Register of Controlled Trials (CENTRAL; 2019, Issue 5) and the Cochrane Database of Systematic Reviews (CDSR; 2019, Issue 5) in the Cochrane Library (searched 31 May 2019), MEDLINE Ovid (searched 2005 to May week 4, 2019), Embase Ovid (searched 2005 to 29 May 2019), CINAHL EBSCO (searched 2005 to 6 June 2019), and five others. We searched seven study registers and checked reference lists of reviews.

SELECTION CRITERIA

Randomised trials involving stroke survivors, their identified carers or both, where an information intervention was compared with standard care, or where information and another therapy were compared with the other therapy alone, or where the comparison was between active and passive information provision without other differences in treatment.

DATA COLLECTION AND ANALYSIS

Two review authors independently assessed trial eligibility and risk of bias, and extracted data. We categorised interventions as either active information provision or passive information provision: active information provision included active participation with subsequent opportunities for clarification and reinforcement; passive information provision provided no systematic follow-up or reinforcement procedure. We stratified analyses by this categorisation. We used GRADE methods to assess the overall certainty of the evidence.

MAIN RESULTS

We have added 12 new studies in this update. This review now includes 33 studies involving 5255 stroke-survivor and 3134 carer participants. Twenty-two trials evaluated active information provision interventions and 11 trials evaluated passive information provision interventions. Most trials were at high risk of bias due to lack of blinding of participants, personnel, and outcome assessors where outcomes were self-reported. Fewer than half of studies were at low risk of bias regarding random sequence generation, concealment of allocation, incomplete outcome data or selective reporting. The following estimates have low certainty, based on the quality of evidence, unless stated otherwise. Accounting for certainty and size of effect, analyses suggested that for stroke survivors, active information provision may improve stroke-related knowledge (standardised mean difference (SMD) 0.41, 95% confidence interval (CI) 0.17 to 0.65; 3 studies, 275 participants), may reduce cases of anxiety and depression slightly (anxiety risk ratio (RR) 0.85, 95% CI 0.68 to 1.06; 5 studies, 1132 participants; depression RR 0.83, 95% CI 0.68 to 1.01; 6 studies, 1315 participants), may reduce Hospital Anxiety and Depression Scale (HADS) anxiety score slightly, (mean difference (MD) -0.73, 95% CI -1.10 to -0.36; 6 studies, 1171 participants), probably reduces HADS depression score slightly (MD (rescaled from SMD) -0.8, 95% CI -1.27 to -0.34; 8 studies, 1405 participants; moderate-certainty evidence), and may improve each domain of the World Health Organization Quality of Life assessment short-form (WHOQOL-BREF) (physical, MD 11.5, 95% CI 7.81 to 15.27; psychological, MD 11.8, 95% CI 7.29 to 16.29; social, MD 5.8, 95% CI 0.84 to 10.84; environment, MD 7.0, 95% CI 3.00 to 10.94; 1 study, 60 participants). No studies evaluated positive mental well-being. For carers, active information provision may reduce HADS anxiety and depression scores slightly (MD for anxiety -0.40, 95% CI -1.51 to 0.70; 3 studies, 921 participants; MD for depression -0.30, 95% CI -1.53 to 0.92; 3 studies, 924 participants), may result in little to no difference in positive mental well-being assessed with Bradley's well-being questionnaire (MD -0.18, 95% CI -1.34 to 0.98; 1 study, 91 participants) and may result in little to no difference in quality of life assessed with a 0 to 100 visual analogue scale (MD 1.22, 95% CI -7.65 to 10.09; 1 study, 91 participants). The evidence is very uncertain (very low certainty) for the effects of active information provision on carers' stroke-related knowledge, and cases of anxiety and depression. For stroke survivors, passive information provision may slightly increase HADS anxiety and depression scores (MD for anxiety 0.67, 95% CI -0.37 to 1.71; MD for depression 0.39, 95% CI -0.61 to 1.38; 3 studies, 227 participants) and the evidence is very uncertain for the effects on stroke-related knowledge, quality of life, and cases of anxiety and depression. For carers, the evidence is very uncertain for the effects of passive information provision on stroke-related knowledge, and HADS anxiety and depression scores. No studies of passive information provision measured carer quality of life, or stroke-survivor or carer positive mental well-being.

AUTHORS' CONCLUSIONS

Active information provision may improve stroke-survivor knowledge and quality of life, and may reduce anxiety and depression. However, the reductions in anxiety and depression scores were small and may not be important. In contrast, providing information passively may slightly worsen stroke-survivor anxiety and depression scores, although again the importance of this is unclear. Evidence relating to carers and to other outcomes of passive information provision is generally very uncertain. Although the best way to provide information is still unclear, the evidence is better for strategies that actively involve stroke survivors and carers and include planned follow-up for clarification and reinforcement.

Application of the eHealth Literacy Model in Digital Health Interventions: Scoping Review

BACKGROUND

Digital health interventions (DHIs) are increasingly being adopted globally to address various public health issues. DHIs can be categorized according to four main types of technology: mobile based, web based, telehealth, and electronic health records. In 2006, Norman and Skinner introduced the eHealth literacy model, encompassing six domains of skills and abilities (basic, health, information, scientific, media, and computer) needed to effectively understand, process, and act on health-related information. Little is known about whether these domains are assessed or accounted for in DHIs.

OBJECTIVE

This study aims to explore how DHIs assess and evaluate the eHealth literacy model, describe which health conditions are addressed, and which technologies are used.

METHODS

We conducted a scoping review of the literature on DHIs, based on randomized controlled trial design and reporting the assessment of any domain of the eHealth literacy model. MEDLINE, CINAHL, Embase, and Cochrane Library were searched. A duplicate selection and data extraction process was performed; we charted the results according to the country of origin, health condition, technology used, and eHealth literacy domain.

RESULTS

We identified 131 unique DHIs conducted in 26 different countries between 2001 and 2020. Most DHIs were conducted in English-speaking countries (n=81, 61.8%), delivered via the web (n=68, 51.9%), and addressed issues related to noncommunicable diseases (n=57, 43.5%) or mental health (n=26, 19.8%). None of the interventions assessed all six domains of the eHealth literacy model. Most studies focused on the domain of health literacy (n=96, 73.2%), followed by digital (n=19, 14.5%), basic and media (n=4, 3%), and information and scientific literacy (n=1, 0.7%). Of the 131 studies, 7 (5.3%) studies covered both health and digital literacy.

CONCLUSIONS

Although many selected DHIs assessed health or digital literacy, no studies comprehensively evaluated all domains of the eHealth literacy model; this evidence might be overlooking important factors that can mediate or moderate the effects of these interventions. Future DHIs should comprehensively assess the eHealth literacy model while developing or evaluating interventions to understand how and why interventions can be effective.

Association of health literacy and medication adherence with health-related quality of life (HRQoL) in patients with ischemic heart disease

BACKGROUND

Medication Adherence (MA) and Health Related Quality of Life (HRQoL) are two inter-connected concepts, co-influenced by Health Literacy (HL), with significant impact on patient management and care. Thus, we aimed to estimate the association of HL and MA with HRQoL in IHD patients.

METHODS

Cross-sectional study of 251 IHD patients recruited from Lahore over 6 months period. HL, MA and HRQoL was assessed using validated questionnaires; 16-items of HL, Morisky Green Levine Scale (MGLS) and SF-12, respectively. Chi-square for significance, logistic-regression for association and linear regression for predictions were used.

RESULTS

IHD patients; males (p = 0.0001), having secondary-higher education (p = 0.0001), middle/upper class (p = 0.0001) and employed (p = 0.005) had adequate HL, and were more likely to be adherent (OR; 4.3, p = 0.014). Both physical (PCS-12) and mental (MCS-12) component scores of HRQoL for age, gender, education, area of residence, employment and MA were significantly higher in patients with adequate HL. In multinomial regression, improved PCS-12 scores tend to be higher in subjects having secondary-higher education (OR; 3.5, p = 0.067), employed (OR; 6.1, p = 0.002) and adherent (OR; 2.95, p = 0.218), while MCS-12 scores tend to be higher in patients < 65 years (OR; 2.2, p = 0.032), employed (OR; 3, p = 0.002) and adherent (OR; 4, p = 0.004). In adjusted model, HL (β;0.383, p = 0.0001) and MA (β; - 0.133, p = 0.018) were significantly associated with PCS-12, and MCS-12 with MA (β; - 0.161, p = 0.009) only.

CONCLUSION

Data suggested that adequate HL was significantly associated with adherence and both physical and mental dimensions of HRQoL were higher in IHD patients with adequate HL. Besides, HL and MA are independent predictors of HRQoL in IHD patients.

Non-Adherence to Prescribed Antihypertensives in Primary, Secondary and Tertiary Healthcare Settings in Islamabad, Pakistan: A Cross-Sectional Study

OBJECTIVE

This study aimed to assess the prevalence and predictors of non-adherence to antihypertensive medication among patients with hypertension attending various healthcare settings in Islamabad, Pakistan.

METHODS

A questionnaire-based cross-sectional study was conducted in selected healthcare facilities between September 2017 and December 2018. The study was conducted in primary, secondary and tertiary healthcare settings in Islamabad, Pakistan. Medication adherence was assessed using the eight-item Morisky Medication Adherence Scale (MMAS-8). Sociodemographic and clinical data of recruited patients were collected through a structured questionnaire. Binary logistic regression analysis was performed to determine covariates significantly associated with medication adherence and blood pressure control.

RESULTS

A total of 776 hypertensive patients were invited and 741 (95%) completed the questionnaire. The mean ± SD age of participants was 53.6±12.6 years; 284 patients (38.3%) had high adherence, 178 (24%) had moderate adherence and 279 (37.7%) were non-adherent to the prescribed antihypertensive therapy. Binary regression analysis revealed that old age (OR 1.783 [95% CI: 1.172-2.712]; P=0.013), being educated (OR 2.018 [95% CI: 1.240-3.284]; P=0.036), entitlement to free medical care (OR 1.369 [95% CI: 1.009-1.859]; P=0.044), treatment duration (OR 2.868 [95% CI: 1.913-4.299]; P=0.001), number of medications (OR 1.973 [95% CI: 1.560-2.495]; P=0.001), presence of any comorbidity (OR 2.658 [95% CI: 1.836-3.848]; P=0.001) and blood pressure control (OR 3.103 [95% CI: 2.268-4.247]; P=0.001) were significantly associated with good adherence. Similarly, age (OR 1.998 [95% CI: 1.313-3.040]; P=0.004), entitlement to free medical care (OR 1.498 [95% CI: 1.116-2.010]; P=0.007), treatment duration (OR 1.886 [95% CI: 1.143-3.113]; P=0.013), presence of any comorbidity (OR 1.552 [95% CI: 1.123-2.147]; P=0.008) and adherence level (OR 3.103 [95% CI: 2.268-4.247]; P=0.001) had significant association with controlled blood pressure. The following were the main reasons for non-adherence to prescribed antihypertensive medication: "don't feel need for regular use" (24.7%), "Carelessness" (13.4%) and "adverse effects" (11.2%).

CONCLUSION

The prevalence of non-adherence to antihypertensive medications was high in the study population and poor medication adherence could potentially explain poor blood pressure control. Evidence-based targeted interventions on both medication adherence and blood pressure control should be introduced and implemented for better treatment outcomes.

Medication Adherence and Its Association with Health Literacy and Performance in Activities of Daily Livings among Elderly Hypertensive Patients in Islamabad, Pakistan

Background and Objective: Medication non-adherence is a preventable reason for treatment failure, poor blood pressure control among hypertensive patients and the geriatric population owing to poor physical activity is more vulnerable strata. The objective of this study is to investigate medication adherence and its associated factors among Pakistani geriatric hypertensive patients. Methods: A cross-sectional survey-based study was conducted at the out-patient department of the cardiac center from May 2018 to August 2018. A universal sampling technique was used to approach patients and 262 eligible consented patients were interviewed to collect information about socio-demographics, health, and disease-related characteristics using a structured questionnaire. The Morisky Levine Green test was used for the assessment of medication adherence. The Barthel index and single item literacy screener (SILS) was used to measure performance in activities of daily living and health literacy respectively. Chi-square tests and multivariate binary logistic regression analysis were performed to find factors by using SPSS version 20. Results: Of the total 262 participants, about 38.9% (n = 102) were scored 4 and considered adherent while 61.1% (n = 160) were considered as non-adherent. In logistic regression analysis, self-reported moderate (OR = 3.538, p = 0.009) and good subjective health (OR = 4.249, p = 0.008), adequate health literacy (OR = 3.369, p < 0.001) and independence in performing activities of daily living (OR = 2.968, p = 0.002) were found to be independent predictors of medication adherence among older hypertensive patients. Conclusion: Medication adherence among the older hypertensive population in Pakistan is alarmingly low. This clearly requires patient-centered interventions to overcome barriers and educating them about the importance of adherence.

Making prescriptions "talk" to stroke and heart attack survivors to improve adherence: Results of a randomized clinical trial (The Talking Rx Study)

BACKGROUND

We developed and tested the effectiveness of a tailored health information technology driven intervention: "Talking Prescriptions" (Talking Rx) to improve medication adherence in a resource challenged environment.

METHODS

We conducted a parallel, randomized, controlled, assessor-blinded trial at the Aga Khan University (AKU), Karachi, Pakistan. Adults with diagnosis of cerebrovascular accident (CVA) or coronary artery disease (CAD) diagnosed least one month before enrollment, on anti-platelets and statins, with access to a mobile phone were enrolled. The intervention group received a) Daily Interactive Voice Response (IVR) call services regarding specific statin and antiplatelet b) Daily tailored medication reminders for statin and antiplatelet and c) Weekly lifestyle modification messages for a period of 3 months. We assessed Medication adherence to statin and antiplatelets by a validated version of the 8-item Morisky Medication Adherence scale 8 (MMAS-8) at 3 months by a blinded assessment officer. Analysis was conducted by intention-to-treat principle (ITT).

RESULTS

Between April 2015 and December 2015, 197 participants (99 in intervention and 98 in the usual care group) enrolled in the Talking Rx Study. The dropout rate was 9.6%. Baseline group characteristics were similar. At baseline, the mean MMAS-8 was 6.68 (SD = 1.28) in the intervention group and 6.77 (SD = 1.36) in usual care group. At end of follow-up, the mean MMAS-8 increased to 7.41(0.78) in the intervention group compared with 7.38 (0.99) in usual care group with mean difference of 0.03 (S.D 0.13) (95% C.I [-0.23, 0.29]), which was not statistically significant. (P-Value = 0.40) CVA patients showed a relatively greater magnitude of adherence via the MMAS-8 at the end of follow up where the mean MMAS-8 increased to 7.29 (S.D 0.82) in the intervention group as compared to 7.07(S.D 1.24) in usual care group with mean difference of 0.22 (SD = 0.22) 95% C.I (-0.20, 0.65) with (P-value = 0.15). Around 84% of those on intervention arm used the service, calling at least 3 times and listening to their prescriptions for an average of 8 minutes. No user was excluded due to technologic reasons.

CONCLUSION

The use of a phone based medication adherence program was feasible in LMIC settings with high volume clinics and low patient literacy. In this early study, with limited follow up, the program did not achieve any statistically significant differences in adherence behavior as self-reported by the MMAS-8 Scale.

TRIAL REGISTRATION

Clinical Trials.gov NCT02354040.

Mobile Health (mHealth) Technology for the Management of Hypertension and Hyperlipidemia: Slow Start but Loads of Potential

PURPOSE OF REVIEW

Hypertension and hyperlipidemia represent two major risk factors for atherosclerotic cardiovascular disease. Mobile health or mHealth is defined as the use of mobile phone and wireless technologies to support the achievement of health objectives. Management of hypertension, and to some extent hyperlipidemia, has often employed mHealth interventions given lower cost and greater patient engagement compared to traditional methods. These interventions include the use of text messaging, wireless devices, and mobile phone applications. This review considers recent studies evaluating the effectiveness of mHealth interventions in the management of hypertension and hyperlipidemia.

RECENT FINDINGS

Numerous studies have evaluated the role of mHealth interventions in the management of hypertension, while very few have evaluated their role in hyperlipidemia. Text messaging has been used most frequently. However, the trend is shifting towards the use of mobile phone applications and wireless devices. Interventions in developing countries have been modified for greater applicability to local settings. mHealth interventions were found to be frequently effective. However, studies comparing the relative efficacy of various mHealth strategies are scarce. Long-term cardiovascular outcomes data and analyses relating to cost effectiveness are also lacking. mHealth interventions may be effective in improving hypertension management. More studies are needed to evaluate the role of mHealth strategies in hyperlipidemia management, particularly in identifying high-risk individuals and improving medication adherence. Studies assessing the long-term impact of these interventions, comparing different interventions and analyzing their relative cost effectiveness, are also needed. Following recently published guidelines on reporting results of mHealth interventions will provide a more meaningful context for interpreting these promising early studies.

Mobile phone text messaging to improve medication adherence in secondary prevention of cardiovascular disease

BACKGROUND

Worldwide at least 100 million people are thought to have prevalent cardiovascular disease (CVD). This population has a five times greater chance of suffering a recurrent cardiovascular event than people without known CVD. Secondary CVD prevention is defined as action aimed to reduce the probability of recurrence of such events. Drug interventions have been shown to be cost-effective in reducing this risk and are recommended in international guidelines. However, adherence to recommended treatments remains sub-optimal. In order to influence non-adherence, there is a need to develop scalable and cost-effective behaviour-change interventions.

OBJECTIVES

To assess the effects of mobile phone text messaging in patients with established arterial occlusive events on adherence to treatment, fatal and non-fatal cardiovascular events, and adverse effects.

SEARCH METHODS

We searched CENTRAL, MEDLINE, Embase, the Conference Proceedings Citation Index - Science on Web of Science on 7 November 2016, and two clinical trial registers on 12 November 2016. We contacted authors of included studies for missing information and searched reference lists of relevant papers. We applied no language or date restrictions.

SELECTION CRITERIA

We included randomised trials with at least 50% of the participants with established arterial occlusive events. We included trials investigating interventions using short message service (SMS) or multimedia messaging service (MMS) with the aim to improve adherence to medication for the secondary prevention of cardiovascular events. Eligible comparators were no intervention or other modes of communication.

DATA COLLECTION AND ANALYSIS

We used standard methodological procedures expected by Cochrane. In addition, we attempted to contact all authors on how the SMS were developed.

MAIN RESULTS

We included seven trials (reported in 13 reports) with 1310 participants randomised. Follow-up ranged from one month to 12 months. Due to heterogeneity in the methods, population and outcome measures, we were unable to conduct meta-analysis on these studies. All seven studies reported on adherence, but using different methods and scales. Six out of seven trials showed a beneficial effect of mobile phone text messaging for medication adherence. Dale 2015a, reported significantly greater medication adherence score in the intervention group (Mean Difference (MD) 0.58, 95% confidence interval (CI) 0.19 to 0.97; 123 participants randomised) at six months. Khonsari 2015 reported less adherence in the control group (Relative Risk (RR) 4.09, 95% CI 1.82 to 9.18; 62 participants randomised) at eight weeks. Pandey 2014 (34 participants randomised) assessed medication adherence through self-reported logs with 90% adherence in the intervention group compared to 70% in the control group at 12 months. Park 2014a (90 participants randomised) reported a greater increase of the medication adherence score in the control group, but also measured adherence with an event monitoring system for a number of medications with adherence levels ranging from 84.1% adherence to 86.2% in the intervention group and 79.7% to 85.7% in the control group at 30 days. Quilici 2013, reported reduced odds of non-adherence in the intervention group (Odds Ratio (OR) 0.43, 95% CI 0.22 to 0.86, 521 participants randomised) at 30 days. Fang 2016, reported that participants given SMS alone had reduced odds of being non-adherent compared to telephone reminders (OR 0.40 95% CI 0.18 to 0.63; 280 patients randomised). Kamal 2015 reported higher levels of adherence in the intervention arm (adjusted MD 0.54, 95% CI 0.22 to 0.85; 200 participants randomised). Khonsari 2015 was the only study to report fatal cardiovascular events and only reported two events, both in the control arm. No study reported on the other primary outcomes. No study reported repetitive thumb injury or road traffic crashes or other adverse events that were related to the intervention.Four authors replied to our questionnaire on SMS development. No study reported examining causes of non-adherence or provided SMS tailored to individual patient characteristics.The included studies were small, heterogeneous and included participants recruited directly after acute events. All studies were assessed as having high risk of bias across at least one domain. Most of the studies came from high-income countries, with two studies conducted in an upper middle-income country (China, Malaysia), and one study from a lower middle-income country (Pakistan). The quality of the evidence was found to be very low. There was no obvious conflicts of interest from authors, although only two declared their funding.

AUTHORS' CONCLUSIONS

While the results of this systematic review are promising, there is insufficient evidence to draw conclusions on the effectiveness of text message-based interventions for adherence to medications for secondary prevention of CVD. Sufficiently powered, high-quality randomised trials are needed, particularly in low- and middle-income countries.