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      Smartphone applications to reduce alcohol consumption and help patients with alcohol use disorder: a state-of-the-art review

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          Abstract

          Hazardous drinking and alcohol use disorder (AUD) are substantial contributors to USA and global morbidity and mortality. Patient self-management and continuing care are needed to combat these public health threats. However, services are rarely provided to patients outside of clinic settings or following brief intervention. Smartphone applications (“apps”) may help narrow the divide between traditional health care and patient needs. The purpose of this review is to identify and summarize smartphone apps to reduce alcohol consumption or treat AUD that have been evaluated for feasibility, acceptability, and/or efficacy. We searched two research databases for peer-reviewed journal articles published in English that evaluated smartphone apps to decrease alcohol consumption or treat AUD. We identified six apps. Two of these apps (A-CHESS and LBMI-A) promoted self-reported reductions in alcohol use, two (Promillekoll and PartyPlanner) failed to promote self-reported reductions in alcohol use, and two (HealthCall-S and Chimpshop) require further evaluation and testing before any conclusions regarding efficacy can be made. In summary, few evaluations of smartphone apps to reduce alcohol consumption or treat AUD have been reported in the scientific literature. Although advances in smartphone technology hold promise for disseminating interventions among hazardous drinkers and individuals with AUD, more systematic evaluations are necessary to ensure that smartphone apps are clinically useful.

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          Most cited references29

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          Diagnostic and statistical manual of mental disorders.

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            Global status report on alcoholand health

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              The Effects of Combining Web-Based eHealth With Telephone Nurse Case Management for Pediatric Asthma Control: A Randomized Controlled Trial

              Background Asthma is the most common pediatric illness in the United States, burdening low-income and minority families disproportionately and contributing to high health care costs. Clinic-based asthma education and telephone case management have had mixed results on asthma control, as have eHealth programs and online games. Objectives To test the effects of (1) CHESS+CM, a system for parents and children ages 4–12 years with poorly controlled asthma, on asthma control and medication adherence, and (2) competence, self-efficacy, and social support as mediators. CHESS+CM included a fully automated eHealth component (Comprehensive Health Enhancement Support System [CHESS]) plus monthly nurse case management (CM) via phone. CHESS, based on self-determination theory, was designed to improve competence, social support, and intrinsic motivation of parents and children. Methods We identified eligible parent–child dyads from files of managed care organizations in Madison and Milwaukee, Wisconsin, USA, sent them recruitment letters, and randomly assigned them (unblinded) to a control group of treatment as usual plus asthma information or to CHESS+CM. Asthma control was measured by the Asthma Control Questionnaire (ACQ) and self-reported symptom-free days. Medication adherence was a composite of pharmacy refill data and medication taking. Social support, information competence, and self-efficacy were self-assessed in questionnaires. All data were collected at 0, 3, 6, 9, and 12 months. Asthma diaries kept during a 3-week run-in period before randomization provided baseline data. Results Of 305 parent–child dyads enrolled, 301 were randomly assigned, 153 to the control group and 148 to CHESS+CM. Most parents were female (283/301, 94%), African American (150/301, 49.8%), and had a low income as indicated by child’s Medicaid status (154/301, 51.2%); 146 (48.5%) were single and 96 of 301 (31.9%) had a high school education or less. Completion rates were 127 of 153 control group dyads (83.0%) and 132 of 148 CHESS+CM group dyads (89.2%). CHESS+CM group children had significantly better asthma control on the ACQ (d = –0.31, 95% confidence limits [CL] –0.56, –0.06, P = .011), but not as measured by symptom-free days (d = 0.18, 95% CL –0.88, 1.60, P = 1.00). The composite adherence scores did not differ significantly between groups (d = 1.48%, 95% CL –8.15, 11.11, P = .76). Social support was a significant mediator for CHESS+CM’s effect on asthma control (alpha = .200, P = .01; beta = .210, P = .03). Self-efficacy was not significant (alpha = .080, P = .14; beta = .476, P = .01); neither was information competence (alpha = .079, P = .09; beta = .063, P = .64). Conclusions Integrating telephone case management with eHealth benefited pediatric asthma control, though not medication adherence. Improved methods of measuring medication adherence are needed. Social support appears to be more effective than information in improving pediatric asthma control. Trial Registration Clinicaltrials.gov NCT00214383; http://clinicaltrials.gov/ct2/show/NCT00214383 (Archived by WebCite at http://www.webcitation.org/68OVwqMPz)
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                Author and article information

                Journal
                101664162
                44153
                Adv Health Care Technol
                Adv Health Care Technol
                Advanced health care technologies
                2350-269X
                17 July 2016
                11 December 2015
                2015
                27 July 2016
                : 1
                : 47-54
                Affiliations
                Calhoun Cardiology Center, University of Connecticut School of Medicine, Farmington, CT, USA
                Author notes
                Correspondence: Nancy M Petry, Calhoun Cardiology Center, University of Connecticut School of Medicine, 263 Farmington Avenue, Farmington, CT 06030, USA, Tel +1 860 679 2593, Fax +1 860 679 1312, npetry@ 123456uchc.edu
                Article
                NIHMS802517
                10.2147/AHCT.S65791
                4963021
                27478863
                9bfb412a-7a8b-49b0-abcf-8cbad4864b2c

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                smartphone,app,mhealth,alcohol,alcohol use disorder,hazardous drinking

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