782 research outputs found

    Pilot study of an interactive voice response system to improve medication refill compliance

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    <p>Abstract</p> <p>Background</p> <p>Sub-optimal adherence to prescribed medications is well documented. Barriers to medication adherence include medication side effects, cost, and forgetting to take or refill medications. Interactive Voice Response (IVR) systems show promise as a tool for reminding individuals to take or refill medications. This pilot study evaluated the feasibility and acceptability of using an IVR system for prescription refill and daily medication reminders. We tested two novel features: personalized, medication-specific reminder messages and communication via voice recognition.</p> <p>Methods</p> <p>Patients enrolled in a study of electronic prescribing and medication management in Quebec, Canada who were taking chronic disease-related drugs were eligible to participate. Consenting patients had their demographic, telephone, and medication information transferred to an IVR system, which telephoned patients to remind them to take mediations and/or refill their prescriptions. Facilitators and barriers of the IVR system use and acceptability of the IVR system were assessed through a structured survey and open-ended questions administered by telephone interview.</p> <p>Results</p> <p>Of the 528 eligible patients who were contacted, 237 refused and 291 consented; 99 participants had started the pilot study when it was terminated because of physician and participant complaints. Thirty-eight participants completed the follow-up interview. The majority found the IVR system's voice acceptable, and did not have problems setting up the time and location of reminder calls. However, many participants experienced technical problems when called for reminders, such as incorrect time of calls and voice recognition difficulties. In addition, most participants had already refilled their prescriptions when they received the reminder calls, reporting that they did not have difficulties remembering to refill prescriptions on their own. Also, participants were not receptive to speaking to an automated voice system.</p> <p>Conclusion</p> <p>IVR systems designed to improve medication compliance must address key technical and performance issues and target those individuals with reported memory difficulties or complex medication regimens in order to improve the utility of the system. Future research should also identify characteristics of medication users who are more likely to be receptive to IVR technology.</p

    Interactive voice response interventions targeting behaviour change: a systematic literature review with meta-analysis and meta-regression.

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    OBJECTIVE: A number of promising automated behaviour change interventions have been developed using advanced phone technology. This paper reviewed the effectiveness of interactive voice response (IVR)-based interventions designed to promote changes in specific health behaviours. METHODS: A systematic literature review of papers published between January 1990 and September 2017 in MEDLINE, CINAHL, Embase, PsycINFO, SCOPUS and the Cochrane Central Register of Controlled Trials (CENTRAL) was conducted. From the total of 2546 papers identified, 15 randomised control trials (RCTs) met the eligibility criteria and were included in a random effects meta-analysis. Meta-regression analysis was used to explore whether behaviour change techniques (BCTs) that were used in the interventions were associated with intervention effectiveness. RESULTS: Meta-analysis of 15 RCTs showed that IVR-based interventions had small but significant effects on promoting medication adherence (OR=1.527, 95% CI 1.207 to 1.932, k=9, p=0.000) and physical activity (Hedges' g=0.254, 95% CI 0.068 to 0.439, k=3, p=0.007). No effects were found for alcohol (Hedges' g=-0.077, 95% CI -0.162 to 0.007, k=4, p=0.073) or diet (Hedges' g=0.130, 95% CI -0.088 to 0.347, k=2, p=0.242). In the medication adherence studies, multivariable meta-regression including six BCTs explained 100% of the observed variance in effect size, but only the BCT 'information about health consequences' was significantly associated with effect size (β=0.690, SE=0.199, 95% CI 0.29 to 1.08, p=0.000). CONCLUSION: IVR-based interventions appear promising in changing specific health behaviours, such as medication adherence and physical activity. However, more studies are needed to elucidate further the combination of active components of IVR interventions that make them effective and test their feasibility and effectiveness using robust designs and objective outcome measures.This study was part of the first author’s dissertation in public health at University of Cambridge, funded by the Medical Research Council, UK

    Incorporating Tailored Interactive Patient Solutions Using Interactive Voice Response Technology to Improve Statin Adherence: Results of a Randomized Clinical Trial in a Managed Care Setting

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    Abstract The current study presents the impact of a behavior change program to increase statin adherence using interactive voice response (IVR) technology. Subjects were affiliated with a large health benefit company, were prescribed a statin (index) and had no lipid-lowering pharmacy claims in the previous 6 months, and were continuously enrolled in the plan for 12 months prior and 6 months post index statin. Potential subjects (1219) were contacted by the IVR system; 497 gave informed consent. Subjects were asked to respond to 15 questions from the IVR that were guided by several behavior change theories. At the conclusion of the questions, subjects were randomly assigned to either a control group (n=244), who received generic feedback at the conclusion of the call and were then mailed a generic cholesterol guide, or an experimental group (n=253), who received tailored feedback based on their cholesterol-related knowledge, attitudes, beliefs, and perceived barriers to medication adherence, and were mailed a tailored guide that reinforced similar themes. Subjects in the experimental group had the opportunity to participate in 2 additional tailored IVR support calls. The primary dependent variable was 6-month point prevalence, defined as claims evidence of a statin on days 121-180 post index statin. Subjects in the experimental group had a significantly higher 6-month point prevalence than the controls (70.4% vs. 60.7%, P<0.05). Results of this study suggest that a behavioral support program using IVR technology can be a cost-effective modality to address the important public health problem of patient nonadherence with statin medication. (Population Health Management 2009;12:241-254)Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/78104/1/pop.2008.0046.pd

    Desarrollo de una taxonomía de las intervenciones farmacéuticas en pacientes VIH+ basados en el modelo CMO

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    Objective: To agree on a proposal for pharmaceutical interventions and establish their classification taxonomy according to the CMO-Pharmaceutical Care Model (Capacity-Motivation- Opportunity). Method: A study conducted between March and May, 2016. Two phases of development were defined. A literature review was initially conducted. Then, the DELPHI-Rand-UCLA methodology was used in order to reach a consensus about those interventions selected, and to define the taxonomy. Fifteen (15) experts, specialists in Pharmaceutical Care for HIV+ patients, were selected. This selection was explicitly conducted, following a protocol in order to avoid any bias. An initial proposal was developed according to the interventions extracted from Phase 1. These were tentatively classified according to the CMO Model, in a category based on their design and utility. Three issues were raised from the initial question: Do you agree with the proposed classification? If not, there was an option to re-categorize. Additionally, they were asked about the importance, priority and impact to achieve pharmacotherapeutic objectives that they would assign to it. Interventions were classified according to the degree of agreement. Once a consensus was reached, the final taxonomy was established. Results: Eighteen (18) articles were finally considered. The initial proposal included 20 pharmaceutical interventions with the following classification: seven in Capacity, eight in Motivation, and five in Opportunity. Those interventions considered to have greater importance and priority were: Review and Validation, Safety, and Adherence. The interventions with the greatest impact were: Review and Validation, Coordination, Adherence, and Motivation. On the other hand, the lowest scores for importance were for: Planning and Social Coordination; and in terms of impact: Social Coordination. Conclusions: The taxonomy reached by consensus will allow to classify pharmaceutical interventions with the new model, and therefore to conduct an improved research and patient care

    Automated telephone communication systems for preventive healthcare and management of long-term conditions

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    Background Automated telephone communication systems (ATCS) can deliver voice messages and collect health-related information from patients using either their telephone’s touch-tone keypad or voice recognition software. ATCS can supplement or replace telephone contact between health professionals and patients. There are four different types of ATCS: unidirectional (one-way, non-interactive voice communication), interactive voice response (IVR) systems, ATCS with additional functions such as access to an expert to request advice (ATCS Plus) and multimodal ATCS, where the calls are delivered as part of a multicomponent intervention. Objectives To assess the effects of ATCS for preventing disease and managing long-term conditions on behavioural change, clinical, process, cognitive, patient-centred and adverse outcomes. Search methods We searched 10 electronic databases (the Cochrane Central Register of Controlled Trials; MEDLINE; Embase; PsycINFO; CINAHL; Global Health; WHOLIS; LILACS; Web of Science; and ASSIA); three grey literature sources (Dissertation Abstracts, Index to Theses, Australasian Digital Theses); and two trial registries (www.controlled-trials.com; www.clinicaltrials.gov) for papers published between 1980 and June 2015. Selection criteria Randomised, cluster- and quasi-randomised trials, interrupted time series and controlled before-and-after studies comparing ATCS interventions, with any control or another ATCS type were eligible for inclusion. Studies in all settings, for all consumers/carers, in any preventive healthcare or long term condition management role were eligible. Data collection and analysis We used standard Cochrane methods to select and extract data and to appraise eligible studies. Main results We included 132 trials (N = 4,669,689). Studies spanned across several clinical areas, assessing many comparisons based on evaluation of different ATCS types and variable comparison groups. Forty-one studies evaluated ATCS for delivering preventive healthcare, 84 for managing long-term conditions, and seven studies for appointment reminders. We downgraded our certainty in the evidence primarily because of the risk of bias for many outcomes. We judged the risk of bias arising from allocation processes to be low for just over half the studies and unclear for the remainder. We considered most studies to be at unclear risk of performance or detection bias due to blinding, while only 16% of studies were at low risk. We generally judged the risk of bias due to missing data and selective outcome reporting to be unclear. For preventive healthcare, ATCS (ATCS Plus, IVR, unidirectional) probably increase immunisation uptake in children (risk ratio (RR) 1.25, 95% confidence interval (CI) 1.18 to 1.32; 5 studies, N = 10,454; moderate certainty) and to a lesser extent in adolescents (RR 1.06, 95% CI 1.02 to 1.11; 2 studies, N = 5725; moderate certainty). The effects of ATCS in adults are unclear (RR 2.18, 95% CI 0.53 to 9.02; 2 studies, N = 1743; very low certainty). For screening, multimodal ATCS increase uptake of screening for breast cancer (RR 2.17, 95% CI 1.55 to 3.04; 2 studies, N = 462; high certainty) and colorectal cancer (CRC) (RR 2.19, 95% CI 1.88 to 2.55; 3 studies, N = 1013; high certainty) versus usual care. It may also increase osteoporosis screening. ATCS Plus interventions probably slightly increase cervical cancer screening (moderate certainty), but effects on osteoporosis screening are uncertain. IVR systems probably increase CRC screening at 6 months (RR 1.36, 95% CI 1.25 to 1.48; 2 studies, N = 16,915; moderate certainty) but not at 9 to 12 months, with probably little or no effect of IVR (RR 1.05, 95% CI 0.99, 1.11; 2 studies, 2599 participants; moderate certainty) or unidirectional ATCS on breast cancer screening. Appointment reminders delivered through IVR or unidirectional ATCS may improve attendance rates compared with no calls (low certainty). For long-term management, medication or laboratory test adherence provided the most general evidence across conditions (25 studies, data not combined). Multimodal ATCS versus usual care showed conflicting effects (positive and uncertain) on medication adherence. ATCS Plus probably slightly (versus control; moderate certainty) or probably (versus usual care; moderate certainty) improves medication adherence but may have little effect on adherence to tests (versus control). IVR probably slightly improves medication adherence versus control (moderate certainty). Compared with usual care, IVR probably improves test adherence and slightly increases medication adherence up to six months but has little or no effect at longer time points (moderate certainty). Unidirectional ATCS, compared with control, may have little effect or slightly improve medication adherence (low certainty). The evidence suggested little or no consistent effect of any ATCS type on clinical outcomes (blood pressure control, blood lipids, asthma control, therapeutic coverage) related to adherence, but only a small number of studies contributed clinical outcome data. The above results focus on areas with the most general findings across conditions. In condition-specific areas, the effects of ATCS varied, including by the type of ATCS intervention in use. Multimodal ATCS probably decrease both cancer pain and chronic pain as well as depression (moderate certainty), but other ATCS types were less effective. Depending on the type of intervention, ATCS may have small effects on outcomes for physical activity, weight management, alcohol consumption, and diabetes mellitus. ATCS have little or no effect on outcomes related to heart failure, hypertension, mental health or smoking cessation, and there is insufficient evidence to determine their effects for preventing alcohol/ substance misuse or managing illicit drug addiction, asthma, chronic obstructive pulmonary disease, HIV/AIDS, hypercholesterolaemia, obstructive sleep apnoea, spinal cord dysfunction or psychological stress in carers. Only four trials (3%) reported adverse events, and it was unclear whether these were related to the intervention

    Digital interventions to improve adherence to maintenance medication in asthma

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    © 2018 The Cochrane Collaboration. This is a protocol for a Cochrane Review (Intervention). The objectives are as follows: To determine the effectiveness of digital adherence interventions for improving adherence to maintenance treatments in asthma

    An ontology for formal representation of medication adherence-related knowledge : case study in breast cancer

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    Indiana University-Purdue University Indianapolis (IUPUI)Medication non-adherence is a major healthcare problem that negatively impacts the health and productivity of individuals and society as a whole. Reasons for medication non-adherence are multi-faced, with no clear-cut solution. Adherence to medication remains a difficult area to study, due to inconsistencies in representing medicationadherence behavior data that poses a challenge to humans and today’s computer technology related to interpreting and synthesizing such complex information. Developing a consistent conceptual framework to medication adherence is needed to facilitate domain understanding, sharing, and communicating, as well as enabling researchers to formally compare the findings of studies in systematic reviews. The goal of this research is to create a common language that bridges human and computer technology by developing a controlled structured vocabulary of medication adherence behavior—“Medication Adherence Behavior Ontology” (MAB-Ontology) using breast cancer as a case study to inform and evaluate the proposed ontology and demonstrating its application to real-world situation. The intention is for MAB-Ontology to be developed against the background of a philosophical analysis of terms, such as belief, and desire to be human, computer-understandable, and interoperable with other systems that support scientific research. The design process for MAB-Ontology carried out using the METHONTOLOGY method incorporated with the Basic Formal Ontology (BFO) principles of best practice. This approach introduces a novel knowledge acquisition step that guides capturing medication-adherence-related data from different knowledge sources, including adherence assessment, adherence determinants, adherence theories, adherence taxonomies, and tacit knowledge source types. These sources were analyzed using a systematic approach that involved some questions applied to all source types to guide data extraction and inform domain conceptualization. A set of intermediate representations involving tables and graphs was used to allow for domain evaluation before implementation. The resulting ontology included 629 classes, 529 individuals, 51 object property, and 2 data property. The intermediate representation was formalized into OWL using Protégé. The MAB-Ontology was evaluated through competency questions, use-case scenario, face validity and was found to satisfy the requirement specification. This study provides a unified method for developing a computerized-based adherence model that can be applied among various disease groups and different drug categories

    A Mobile-based Healthcare Utilization Assessment in Rural Ghana

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    AbstractBackgroundIdentifying the needs of disadvantaged populations is essential to addressing those needs. Investigations of healthcare access in rural sub-Saharan Africa rely on in-person interviews and SMS, which have distinct limitations.ObjectivesTo use interactive-voice-response (IVR) technology to survey healthcare utilization patterns in rural Ghana.MethodsThis project used IVR to survey healthcare behavior by mobile phone users in rural Ghana. Automated voice messages offered an 18-question survey in 5 local languages.ResultsOut of >64,000 placed calls, 8,601 proceeded to the survey. Survey completion rate was 1.3%, for 827 full respondents, at a total cost of 5 USD for each full survey response.ConclusionsIVR has limitations, but the ability to engage rural populations with low time and resource investment is valuable

    Digital health technologies:Potential tools for promoting adherence to antiretroviral therapy among people living with HIV in Tanzania

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    Sufficiently high levels of adherence to ART are needed to achieve and maintain suppressed viral load. Despite the vast majority of people living with HIV(PLHIV) in Tanzania have access to ART, maintaining adherence to lifelong treatment thus seems to be a major challenge. Given the great penetration of mobile technology in Tanzania, digital health technology provides a unique opportunity to improve adherence to ART treatment. Therefore, this thesis investigates the impact of digital health technology as a potential tool to primarily support ART adherence and secondarily improve clinical outcomes among PLHIV in Tanzania. The first objective is to compare the effectiveness of two DATs, SMS and Real Time Medication Monitoring(RTMM), with standard care in promoting treatment adherence, using a randomized clinical trial, the so-called REMIND-HIV trial. Additionally, to examine the barriers and challenges participants encounter when using the DAT strategies. Lastly, to examine to what extent the adherence measures, including pharmacy refill counts, self-reported adherence and RTMM, predict virologic suppression. This thesis produced important findings on the effectiveness and implementation of DATs in influencing adherence to ART treatment. In our investigation, DATs have the potential to enhance the delivery of quality HIV care, particularly for communities that are hard-to-reach and having limited resources-settings. Furthermore, our studies indicate that DAT have the potential to raise awareness about the importance of ART adherence and improve patient-nurse communication during clinic visits. We recommend that several challenges learned from this study need to be considered to ensure that DATs are sustainable, feasible and acceptable
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