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

      1 , 2 , 1 , 3
      Cochrane Heart Group
      Cochrane Database of Systematic Reviews
      Wiley

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          Abstract

          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 via 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. To establish the effectiveness of interventions delivered by mobile phone to improve adherence to medication prescribed for the primary prevention of CVD in adults. We searched CENTRAL, MEDLINE, Embase, and two other databases on 21 June 2017 and two clinical trial registries on 14 July 2017. We searched reference lists of relevant papers. We applied no language or date restrictions. 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. We used standard methodological procedures recommended by Cochrane. We contacted study authors for disaggregated data when trials included a subset of eligible participants. We included four trials with 2429 randomised participants. Participants were recruited from community‐based primary care or outpatient clinics in high‐income (Canada, Spain) and upper‐ to middle‐income countries (South Africa, China). The interventions received varied widely; one trial evaluated an intervention focused on blood pressure medication adherence delivered solely through short messaging service (SMS), and one intervention involved blood pressure monitoring combined with feedback delivered via smartphone. Two trials involved interventions which targeted a combination of lifestyle modifications, alongside CVD medication adherence, one of which was delivered through text messages, written information pamphlets and self‐completion cards for participants, and the other through a multi‐component intervention comprising of text messages, a computerised CVD risk evaluation and face‐to‐face counselling. Due to heterogeneity in the nature and delivery of the interventions, we did not conduct a meta‐analysis, and therefore reported results narratively. We judged the body of evidence for the effect of mobile phone‐based interventions on objective outcomes (blood pressure and cholesterol) of low quality due to all included trials being at high risk of bias, and inconsistency in outcome effects. Of two trials targeting medication adherence alongside other lifestyle modifications, one reported a small beneficial intervention effect in reducing low‐density lipoprotein cholesterol (mean difference (MD) –9.2 mg/dL, 95% confidence interval (CI) –17.70 to –0.70; 304 participants), and the other found no benefit (MD 0.77 mg/dL, 95% CI –4.64 to 6.18; 589 participants). One trial (1372 participants) of a text messaging‐based intervention targeting adherence showed a small reduction in systolic blood pressure (SBP) for the intervention arm which delivered information‐only text messages (MD –2.2 mmHg, 95% CI –4.4 to –0.04), but uncertain evidence of benefit for the second intervention arm that provided additional interactivity (MD –1.6 mmHg, 95% CI –3.7 to 0.5). One study examined the effect of blood pressure monitoring combined with smartphone messaging, and reported moderate intervention benefits on SBP and diastolic blood pressure (DBP) (SBP: MD –7.10 mmHg, 95% CI –11.61 to –2.59; DBP: –3.90 mmHg, 95% CI –6.45 to –1.35; 105 participants). There was mixed evidence from trials targeting medication adherence alongside lifestyle advice using multi‐component interventions. One trial found large benefits for SBP and DBP (SBP: MD –12.45 mmHg, 95% CI –15.02 to –9.88; DBP: MD –12.23 mmHg, 95% CI –14.03 to –10.43; 589 participants), whereas the other trial demonstrated no beneficial effects on SBP or DBP (SBP: MD 0.83 mmHg, 95% CI –2.67 to 4.33; DBP: MD 1.64 mmHg, 95% CI –0.55 to 3.83; 304 participants). Two trials reported on adverse events and provided low‐quality evidence that the interventions did not cause harm. One study provided low‐quality evidence that there was no intervention effect on reported satisfaction with treatment. Two trials were conducted in high‐income countries, and two in upper‐ to middle‐income countries. The interventions evaluated employed between three and 16 behaviour change techniques according to coding using Michie's taxonomic method. Two trials evaluated interventions that involved potential users in their development. There is low‐quality evidence relating to the effects of mobile phone‐delivered interventions to increase adherence to medication prescribed for the primary prevention of CVD; some trials reported small benefits while others found no effect. There is low‐quality evidence that these interventions do not result in harm. On the basis of this review, there is currently uncertainty around the effectiveness of these interventions. We identified six ongoing trials being conducted in a range of contexts including low‐income settings with potential to generate more precise estimates of the effect of primary prevention medication adherence interventions delivered by mobile phone. Interventions delivered by mobile phone to help people adhere to medication to prevent cardiovascular disease Review question We reviewed the evidence on the effect of interventions delivered by mobile phone to help people in taking their medication to prevent cardiovascular disease (for example, heart attacks and strokes). We found four studies which included 2429 participants. Background Around 17.6 million people die from cardiovascular disease every year. Medications can help to prevent cardiovascular disease; however, many people who have been given these medications do not take them as often or as consistently as recommended. This means that the medication will not work as well as it could to prevent cardiovascular disease. Interventions delivered through mobile phones, for example, prompting by text messaging, may be a low cost way to help people to take their medication as recommended. Study characteristics The evidence is up to date to June 2017. We found four studies that tested interventions delivered at least partly by mobile phone, which followed up participants for at least 12 months. Key results We were not able to combine the results of the four trials because the interventions were very different. The studies were at high risk of bias and the effects of the interventions were inconsistent across studies, and so, we are not confident about their findings. The evidence suggests that interventions delivered by mobile phone may help people to take their medication, but the benefits are small, and some trials found that the interventions did not have any beneficial effect. There was no evidence to suggest that these types of interventions caused harm. The results of trials currently being conducted should tell us the effects of these types of interventions more accurately, and will tell us if they work in a wider range of contexts, including low‐income countries.

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          Most cited references51

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          Social support and patient adherence to medical treatment: a meta-analysis.

          In a review of the literature from 1948 to 2001, 122 studies were found that correlated structural or functional social support with patient adherence to medical regimens. Meta-analyses establish significant average r-effect sizes between adherence and practical, emotional, and unidimensional social support; family cohesiveness and conflict; marital status; and living arrangement of adults. Substantive and methodological variables moderate these effects. Practical support bears the highest correlation with adherence. Adherence is 1.74 times higher in patients from cohesive families and 1.53 times lower in patients from families in conflict. Marital status and living with another person (for adults) increase adherence modestly. A research agenda is recommended to further examine mediators of the relationship between social support and health.
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            Determinants of patient adherence: a review of systematic reviews

            Purpose: A number of potential determinants of medication non-adherence have been described so far. However, the heterogenic quality of existing publications poses the need for the use of a rigorous methodology in building a list of such determinants. The purpose of this study was a systematic review of current research on determinants of patient adherence on the basis of a recently agreed European consensus taxonomy and terminology. Methods: MEDLINE, EMBASE, CINAHL, Cochrane Library, IPA, and PsycINFO were systematically searched for systematic reviews published between 2000/01/01 and 2009/12/31 that provided determinants on non-adherence to medication. The searches were limited to reviews having adherence to medication prescribed by health professionals for outpatient as a major topic. Results: Fifty-one reviews were included in this review, covering 19 different disease categories. In these reviews, exclusively assessing non-adherence to chronic therapies, 771 individual factor items were identified, of which most were determinants of implementation, and only 47—determinants of persistence with medication. Factors with an unambiguous effect on adherence were further grouped into 8 clusters of socio-economic-related factors, 6 of healthcare team- and system-related factors, 6 of condition-related factors, 6 of therapy-related factors, and 14 of patient-related factors. The lack of standardized definitions and use of poor measurement methods resulted in many inconsistencies. Conclusions: This study provides clear evidence that medication non-adherence is affected by multiple determinants. Therefore, the prediction of non-adherence of individual patients is difficult, and suitable measurement and multifaceted interventions may be the most effective answer toward unsatisfactory adherence. The limited number of publications assessing determinants of persistence with medication, and lack of those providing determinants of adherence to short-term treatment identify areas for future research.
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              Results of a randomized controlled trial to assess the effects of a mobile SMS-based intervention on treatment adherence in HIV/AIDS-infected Brazilian women and impressions and satisfaction with respect to incoming messages.

              To assess whether a warning system based on mobile SMS messages increases the adherence of HIV-infected Brazilian women to antiretroviral drug-based treatment regimens and their impressions and satisfaction with respect to incoming messages. A randomized controlled trial was conducted from May 2009 to April 2010 with HIV-infected Brazilian women. All participants (n=21) had a monthly multidisciplinary attendance; each participant was followed over a 4-month period, when adherence measures were obtained. Participants in the intervention group (n=8) received SMS messages 30 min before their last scheduled time for a dose of medicine during the day. The messages were sent every Saturday and Sunday and on alternate days during the working week. Participants in the control group (n=13) did not receive messages. Self-reported adherence, pill counting, microelectronic monitors (MEMS) and an interview about the impressions and satisfaction with respect to incoming messages. The HIV Alert System (HIVAS) was developed over 7 months during 2008 and 2009. After the study period, self-reported adherence indicated that 11 participants (84.62%) remained compliant in the control group (adherence exceeding 95%), whereas all 8 participants in the intervention group (100.00%) remained compliant. In contrast, the counting pills method indicated that the number of compliant participants was 5 (38.46%) for the control group and 4 (50.00%) for the intervention group. Microelectronic monitoring indicated that 6 participants in the control group (46.15%) were adherent during the entire 4-month period compared to 6 participants in the intervention group (75.00%). According to the feedback of the 8 participants who completed the research in the intervention group, along with the feedback of 3 patients who received SMS for less than 4 months, that is, did not complete the study, 9 (81.81%) believed that the SMS messages aided them in treatment adherence, and 10 (90.90%) responded that they would like to continue receiving SMS messages. SMS messaging can help Brazilian women living with HIV/AIDS to adhere to antiretroviral therapy for a period of at least 4 months. In general, the results are encouraging because the SMS messages stimulated more participants in the intervention group to be adherent to their treatment, and the patients were satisfied with the messages received, which were seen as reminders, incentives and signs of affection by the health clinic for a marginalized population. Copyright © 2012. Published by Elsevier Ireland Ltd.
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                Author and article information

                Journal
                Cochrane Database of Systematic Reviews
                Wiley
                14651858
                June 22 2018
                Affiliations
                [1 ]London School of Hygiene and Tropical Medicine; Department of Population Health; London UK
                [2 ]Kings College London; Centre for Global Health; London UK
                [3 ]London School of Hygiene & Tropical Medicine; Clinical Trials Unit, Department of Population Health; Keppel Street London UK WC1E 7HT
                Article
                10.1002/14651858.CD012675.pub2
                6513181
                29932455
                06c70cf5-1fc0-4479-9096-6564655319dd
                © 2018
                History

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