1
|
Werner K, Alsuhaibani SA, Alsukait RF, Alshehri R, Herbst CH, Alhajji M, Lin TK. Behavioural economic interventions to reduce health care appointment non-attendance: a systematic review and meta-analysis. BMC Health Serv Res 2023; 23:1136. [PMID: 37872612 PMCID: PMC10594857 DOI: 10.1186/s12913-023-10059-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Accepted: 09/24/2023] [Indexed: 10/25/2023] Open
Abstract
BACKGROUND Appointment non-attendance - often referred to as "missed appointments", "patient no-show", or "did not attend (DNA)" - causes volatility in health systems around the world. Of the different approaches that can be adopted to reduce patient non-attendance, behavioural economics-oriented mechanisms (i.e., psychological, cognitive, emotional, and social factors that may impact individual decisions) are reasoned to be better suited in such contexts - where the need is to persuade, nudge, and/ or incentivize patients to honour their scheduled appointment. The aim of this systematic literature review is to identify and summarize the published evidence on the use and effectiveness of behavioural economic interventions to reduce no-shows for health care appointments. METHODS We systematically searched four databases (PubMed/Medline, Embase, Scopus, and Web of Science) for published and grey literature on behavioural economic strategies to reduce no-shows for health care appointments. Eligible studies met four criteria for inclusion; they were (1) available in English, Spanish, or French, (2) assessed behavioural economics interventions, (3) objectively measured a behavioural outcome (as opposed to attitudes or preferences), and (4) used a randomized and controlled or quasi-experimental study design. RESULTS Our initial search of the five databases identified 1,225 articles. After screening studies for inclusion criteria and assessing risk of bias, 61 studies were included in our final analysis. Data was extracted using a predefined 19-item extraction matrix. All studies assessed ambulatory or outpatient care services, although a variety of hospital departments or appointment types. The most common behaviour change intervention assessed was the use of reminders (n = 56). Results were mixed regarding the most effective methods of delivering reminders. There is significant evidence supporting the effectiveness of reminders (either by SMS, telephone, or mail) across various settings. However, there is a lack of evidence regarding alternative interventions and efforts to address other heuristics, leaving a majority of behavioural economic approaches unused and unassessed. CONCLUSION The studies in our review reflect a lack of diversity in intervention approaches but point to the effectiveness of reminder systems in reducing no-show rates across a variety of medical departments. We recommend future studies to test alternative behavioural economic interventions that have not been used, tested, and/or published before.
Collapse
Affiliation(s)
- Kalin Werner
- Institute for Health & Aging, Department of Social and Behavioral Sciences, University of California, San Francisco, San Francisco, CA, USA.
| | - Sara Abdulrahman Alsuhaibani
- Nudge Unit, Ministry of Health, Riyadh, KSA, Saudi Arabia
- Department of Health Sciences, College of Health and Rehabilitation Sciences, Princess Nourah bint Abdulrahman University, Riyadh, KSA, Saudi Arabia
| | - Reem F Alsukait
- Community Health Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, KSA, Saudi Arabia
- Health, Nutrition and Population Global Practice, The World Bank, Washington, D.C, USA
| | - Reem Alshehri
- Nudge Unit, Ministry of Health, Riyadh, KSA, Saudi Arabia
| | - Christopher H Herbst
- Health, Nutrition and Population Global Practice, The World Bank, Washington, D.C, USA
| | - Mohammed Alhajji
- Nudge Unit, Ministry of Health, Riyadh, KSA, Saudi Arabia
- College of Medicine, Alfaisal University, Riyadh, KSA, Saudi Arabia
| | - Tracy Kuo Lin
- Institute for Health & Aging, Department of Social and Behavioral Sciences, University of California, San Francisco, San Francisco, CA, USA
| |
Collapse
|
2
|
Ayalde J, Soong W, Thomas S, McCann P, Griffiths J, Nicholls C, Heble S, Dragovic M, Waters F. Reasons for non-attendance in youth mental health clinics: Insights from mobile messaging communications. Early Interv Psychiatry 2023; 17:877-883. [PMID: 36789584 DOI: 10.1111/eip.13379] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Revised: 09/29/2022] [Accepted: 01/02/2023] [Indexed: 02/16/2023]
Abstract
AIM Non-attendance at appointments in youth mental health services is a common problem which contributes to reduced service effectiveness and unmet needs. Reasons cited by young people for non-attendance are poorly understood. Information derived from short-message-service (SMS) conversations about appointments between patients and clinicians can uncover new insights about the circumstances leading to 'did not attend' events. METHODS Text messages between young people and clinicians were examined in a retrospective audit of medical records in two youth mental health services in Perth, Australia. Frequently non-attending young people aged 16-24 (n = 40) engaged in 302 SMS message chains about appointments. Mixed methods included quantitative data and qualitative thematic analysis of textual data. RESULTS Medical reasons (32/190, 16.8%) and forgetfulness (20/190, 10.5%) were the most frequent reasons for non-attendance. Major issues included non-avoidable events while others were potentially preventable and could be addressed by the service. CONCLUSIONS The analysis of mobile communications in clinical practice can be used for service evaluation and to reveal barriers that impede attendance to ongoing care.
Collapse
Affiliation(s)
- Jeremiah Ayalde
- University of Western Australia (UWA) School of Medicine, Perth, Western Australia, Australia
| | - Wei Soong
- Youth Axis, North Metropolitan Youth Mental Health, Perth, Western Australia, Australia
| | - Shane Thomas
- Youth Axis, North Metropolitan Youth Mental Health, Perth, Western Australia, Australia
| | - Polly McCann
- Youth Reach South, North Metropolitan Youth Mental Health, Perth, Western Australia, Australia
| | - Jennifer Griffiths
- YouthLink, North Metropolitan Youth Mental Health, Perth, Western Australia, Australia
| | - Craig Nicholls
- YouthLink, North Metropolitan Youth Mental Health, Perth, Western Australia, Australia
| | - Samir Heble
- Graylands Hospital, North Metropolitan Health Service, Mental Health, Public Health & Dental Services, Perth, Western Australia, Australia
| | - Milan Dragovic
- Clinical Research Centre, North Metropolitan Health Service, Mental Health, Public Health & Dental Services, Perth, Western Australia, Australia
| | - Flavie Waters
- Clinical Research Centre, North Metropolitan Health Service, Mental Health, Public Health & Dental Services, Perth, Western Australia, Australia
- UWA School of Psychological Science, Perth, Western Australia, Australia
| |
Collapse
|
3
|
Whealin JM, Saleem JJ, Armstrong CM, Roth J, Herout J. Automated Text Messaging During COVID-19: Patient Feedback to Increase Adoption. JOURNAL OF TECHNOLOGY IN BEHAVIORAL SCIENCE 2023; 8:1-11. [PMID: 36852102 PMCID: PMC9946868 DOI: 10.1007/s41347-023-00305-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Revised: 01/10/2023] [Accepted: 01/26/2023] [Indexed: 06/18/2023]
Abstract
Automated text messaging interventions can effectively improve self-care and were used to support the U.S. Veterans Health Administration's (VHA) public health outreach during the COVID pandemic. Currently, significant gaps exist in knowledge about VHA patients' texting protocol preferences that may impact user receptivity, engagement, and effectiveness. This study qualitatively evaluated patient suggestions to improve two VHA Covid-related texting interventions and preferences for future text message protocols. We reviewed cross-sectional type-written survey responses from patients receiving either the "Coronavirus Precautions" or the "Coping During COVID" multi-week text protocols. Two team members independently and inductively coded all responses allowing for an upward abstraction of qualitative data. Nine hundred five patients (72.8% male) responded to the open-response item questions targeted by this research. An item that sought feedback to improve protocol acceptability generated thirteen distinct descriptive categories (inter-rater reliability 83.5%). Codable feedback showed, for example, that patients desired to manipulate message frequency and to have a more sophisticated interaction with messages. Patients' suggestions for future automated text messaging protocols yielded nine distinct topic areas. Patients offered suggestions that may impact receptivity and engagement of future automated text message protocols, particularly as they relate to outreach during a public health crisis. In addition, patients offered specific topics they would like to see in future text message protocols. We discuss how the findings can be used to increase engagement in current and post-pandemic public health interventions.
Collapse
Affiliation(s)
- Julia M. Whealin
- Clinical Informatics Service, VA Pacific Islands Health Care System, Department of Veterans Affairs, HI 96819 Honolulu, USA
- University of Hawaii School of Medicine, Manoa, HI USA
| | - Jason J. Saleem
- Department of Industrial Engineering, University of Louisville, Louisville, KY USA
| | | | - Jennifer Roth
- St. Cloud VA Health Care System, Department of Veterans Affairs, MN St. Cloud, USA
| | - Jennifer Herout
- Office of Health Informatics, Department of Veterans Affairs, Washington, DC USA
| |
Collapse
|
4
|
Boone CE, Celhay P, Gertler P, Gracner T, Rodriguez J. How scheduling systems with automated appointment reminders improve health clinic efficiency. JOURNAL OF HEALTH ECONOMICS 2022; 82:102598. [PMID: 35172242 DOI: 10.1016/j.jhealeco.2022.102598] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Revised: 01/03/2022] [Accepted: 01/28/2022] [Indexed: 06/14/2023]
Abstract
Missed clinic appointments or no-shows burden health care systems through inefficient use of staff time and resources. Scheduling software with automatic appointment reminders shows promise to improve clinics' management through timely cancellations and re-scheduling, but at-scale evidence is missing. We study a nationwide text message appointment reminder program in Chile implemented at primary care clinics for patients with chronic disease. Using longitudinal clinic-level data, we find that the program did not change the number of visits by chronic patients eligible to receive the reminder but visits from other patients ineligible to receive reminders increased by 5.0% in the first year and 7.4% in the second. Clinics treating more chronic patients and those with a relatively younger patient population benefited more from the program. Scheduling systems with automatic appointment reminders were effective in increasing clinics' ability to care for more patients, likely due to timely cancellations and re-scheduling.
Collapse
Affiliation(s)
| | - Pablo Celhay
- Escuela de Gobierno and Instituto de Economia, Pontifica Universidad Catolica de Chile
| | | | | | | |
Collapse
|
5
|
Lustgarten SD, Garrison YL, Sinnard MT, Flynn AW. Digital privacy in mental healthcare: current issues and recommendations for technology use. Curr Opin Psychol 2020; 36:25-31. [PMID: 32361651 PMCID: PMC7195295 DOI: 10.1016/j.copsyc.2020.03.012] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2020] [Accepted: 03/24/2020] [Indexed: 11/26/2022]
Abstract
Mental healthcare providers increasingly use technology for psychotherapy services. This progress enables professionals to communicate, store information, and rely on digital software and hardware. Emails, text messaging, telepsychology/telemental health therapy, electronic medical records, cloud-based storage, apps/applications, and assessments are now available within the provision of services. Of those mentioned, some are directly utilized for psychotherapy while others indirectly aid providers. Whereas professionals previously wrote notes locally, technology has empowered providers to work more efficiently with third-party services and solutions. However, the implementation of these advancements in mental healthcare involves consequences to digital privacy and might increase clients' risk of unintended breaches of confidentiality. This manuscript reviews common technologies, considers the vulnerabilities therein, and proposes suggestions to strengthen privacy.
Collapse
Affiliation(s)
- Samuel D Lustgarten
- Department of Counseling Psychology, University of Wisconsin-Madison, United States.
| | - Yunkyoung L Garrison
- Department of Psychological and Quantitative Foundations, University of Iowa, Iowa City, United States; Colorado State University Health Network, Fort Collins, United States
| | - Morgan T Sinnard
- Department of Counseling Psychology, University of Wisconsin-Madison, United States
| | - Anthony Wp Flynn
- Department of Counseling Psychology, University of Wisconsin-Madison, United States
| |
Collapse
|
6
|
Xu D(R, Xiao S, He H, Caine ED, Gloyd S, Simoni J, Hughes JP, Nie J, Lin M, He W, Yuan Y, Gong W. Lay health supporters aided by mobile text messaging to improve adherence, symptoms, and functioning among people with schizophrenia in a resource-poor community in rural China (LEAN): A randomized controlled trial. PLoS Med 2019; 16:e1002785. [PMID: 31013275 PMCID: PMC6478272 DOI: 10.1371/journal.pmed.1002785] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/08/2018] [Accepted: 03/20/2019] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Schizophrenia is a leading cause of disability, and a shift from facility- to community-based care has been proposed to meet the resource challenges of mental healthcare in low- and middle-income countries. We hypothesized that the addition of mobile texting would improve schizophrenia care in a resource-poor community setting compared with a community-based free-medicine program alone. METHODS AND FINDINGS In this 2-arm randomized controlled trial, 278 community-dwelling villagers (patient participants) were randomly selected from people with schizophrenia from 9 townships of Hunan, China, and were randomized 1:1 into 2 groups. The program participants were recruited between May 1, 2015, and August 31, 2015, and the intervention and follow-up took place between December 15, 2015, and July 1, 2016. Baseline characteristics of the 2 groups were similar. The patients were on average 46 years of age, had 7 years of education, had a duration of schizophrenia of 18 years with minimal to mild symptoms and nearly one-fifth loss of functioning, and were mostly living with family (95%) and had low incomes. Both the intervention and the control groups received a nationwide community-based mental health program that provided free antipsychotic medications. The patient participants in the intervention group also received LEAN (Lay health supporters, E-platform, Award, and iNtegration), a program that featured recruitment of a lay health supporter and text messages for medication reminders, health education, monitoring of early signs of relapses, and facilitated linkage to primary healthcare. The primary outcome was medication adherence (proportion of dosages taken) assessed by 2 unannounced home-based pill counts 30 days apart at the 6-month endpoint. The secondary and other outcomes included patient symptoms, functioning, relapses, re-hospitalizations, death for any reason, wandering away without notifying anyone, violence against others, damaging goods, and suicide. Intent-to-treat analysis was used. Missing data were handled with multiple imputations. In total, 271 out of 278 patient participants were successfully followed up for outcome assessment. Medication adherence was 0.48 in the control group and 0.61 in the intervention group (adjusted mean difference [AMD] 0.12 [95% CI 0.03 to 0.22]; p = 0.013; effect size 0.38). Among secondary and other outcomes we noted substantial reduction in the risk of relapse (26 [21.7%] of 120 interventional participants versus 40 [34.2%] of 117 controls; relative risk 0.63 [95% CI 0.42 to 0.97]; number needed to treat [NNT] 8.0) and re-hospitalization (9 [7.3%] of 123 interventional participants versus 25 [20.5%] of 122 controls; relative risk 0.36 [95% CI 0.17 to 0.73]; NNT 7.6). The program showed no statistical difference in all other outcomes. During the course of the program, 2 participants in the intervention group and 1 in the control group died. The limitations of the study include its lack of a full economic analysis, lack of individual tailoring of the text messages, the relatively short 6-month follow-up, and the generalizability constraint of the Chinese context. CONCLUSIONS The addition of texting to patients and their lay health supporters in a resource-poor community setting was more effective than a free-medicine program alone in improving medication adherence and reducing relapses and re-hospitalizations. Future studies may test the effectiveness of customization of the texting to individual patients. TRIAL REGISTRATION Chinese Clinical Trial Registry ChiCTR-ICR-15006053.
Collapse
Affiliation(s)
- Dong (Roman) Xu
- Sun Yat-sen Global Health Institute, School of Public Health and Institute of National Governance, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Shuiyuan Xiao
- Xiangya School of Public Health, Central South University, Changsha, Hunan, China
| | - Hua He
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, Louisiana, United States of America
| | - Eric D. Caine
- Department of Psychiatry, University of Rochester Medical Center, Rochester, New York, United States of America
| | - Stephen Gloyd
- Department of Global Health, University of Washington, Seattle, Washington, United States of America
| | - Jane Simoni
- Department of Psychology, University of Washington, Seattle, Washington, United States of America
| | - James P. Hughes
- Department of Biostatistics, University of Washington, Seattle, Washington, United States of America
| | - Juan Nie
- Sun Yat-sen Global Health Institute, School of Public Health and Institute of National Governance, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Meijuan Lin
- Xiangya School of Public Health, Central South University, Changsha, Hunan, China
| | - Wenjun He
- Sun Yat-sen Global Health Institute, School of Public Health and Institute of National Governance, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Yeqing Yuan
- Silver School of Social Work, New York University, New York, New York, United States of America
| | - Wenjie Gong
- Xiangya School of Public Health, Central South University, Changsha, Hunan, China
| |
Collapse
|
7
|
Schwebel FJ, Larimer ME. Using text message reminders in health care services: A narrative literature review. Internet Interv 2018; 13:82-104. [PMID: 30206523 PMCID: PMC6112101 DOI: 10.1016/j.invent.2018.06.002] [Citation(s) in RCA: 111] [Impact Index Per Article: 18.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/09/2018] [Revised: 06/19/2018] [Accepted: 06/19/2018] [Indexed: 02/08/2023] Open
Abstract
INTRODUCTION Despite the extensive use of mHealth behavior change interventions, questions remain about the use of technology-based reminders in delivering health care services. Text messaging, or short message service (SMS), is one reminder method that has been extensively researched. Most SMS-reminder research is distributed across a range of health care outcomes. The aim of this article is to systematically review the aggregate impact of these reminders on overall health care outcomes. METHODS A systematic literature review was conducted and yielded 2316 articles. Studies were included if they used SMS reminders to support patient health care outcomes. Study methodology was aligned with the PRISMA guidelines for systematic reviews. RESULTS Following screening, 162 articles met inclusion criteria. Of these studies, 93 investigated medical compliance reminders and 56 investigated appointment reminders. The review found that nearly all the SMS-reminder studies helped improve patient medical compliance and appointment reminders. Additionally, researchers reported numerous benefits from using SMS reminders, including ease of use, relative inexpensiveness, and rapid and automated message delivery. Minimal risks were reported and most participants found the reminders to be acceptable. DISCUSSION Text messages appear to be an effective reminder mechanism to promote improved patient appointment and medical compliance. Reminders should continue to be evaluated and improved to determine the most effective timing and frequency of messages for improving outcomes.
Collapse
Affiliation(s)
- Frank J. Schwebel
- University of Washington, Department of Psychology, 119A Guthrie Hall Box 351525, Seattle, WA 98195-1525, United States of America,Corresponding author.
| | - Mary E. Larimer
- University of Washington, Department of Psychology, 119A Guthrie Hall Box 351525, Seattle, WA 98195-1525, United States of America,University of Washington, Department of Psychiatry and Behavioral Sciences, 1100 NE 45th, Suite 300, Office 312, Box 354944, Seattle, WA 98105, United States of America
| |
Collapse
|
8
|
Jenkins PE. Reducing Non-Attendance Rates for Assessment at an Eating Disorders Service: A Quality Improvement Initiative. Community Ment Health J 2017; 53:878-882. [PMID: 28185137 DOI: 10.1007/s10597-017-0118-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2016] [Accepted: 02/02/2017] [Indexed: 11/29/2022]
Abstract
Rates of non-attendance at initial appointments within community eating disorder (ED) services are frequently high, although this has received relatively little research attention and no reports of interventions designed to address this. The current report describes outcomes following a change of procedure introducing a 'partial booking' system. Attendance rates at first appointments (N = 1260) were audited following introduction of a system designed to reduce non-attendance in January 2013 within a UK ED service. Rates were compared following implementation of the new system, using a historical control group for comparison, and showed a decline from 20.4 to 15.1%, a medium-sized effect. Use of a system asking patients to book an appointment reduced non-attendance at initial appointments and may be of use to similar services experiencing high non-attendance rates. Opt-in initiatives can reduce burden resulting from long waiting times and can be easily adapted to individual services.
Collapse
Affiliation(s)
- Paul E Jenkins
- School of Psychology, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK. .,Cotswold House Eating Disorders Service, Oxford Health NHS Foundation Trust, Warneford Hospital, Warneford Lane, Headington, Oxford, OX3 7JX, UK.
| |
Collapse
|
9
|
Aguilera A, Bruehlman-Senecal E, Demasi O, Avila P. Automated Text Messaging as an Adjunct to Cognitive Behavioral Therapy for Depression: A Clinical Trial. J Med Internet Res 2017; 19:e148. [PMID: 28483742 PMCID: PMC5440738 DOI: 10.2196/jmir.6914] [Citation(s) in RCA: 57] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2016] [Revised: 02/10/2017] [Accepted: 03/13/2017] [Indexed: 11/16/2022] Open
Abstract
Background Cognitive Behavioral Therapy (CBT) for depression is efficacious, but effectiveness is limited when implemented in low-income settings due to engagement difficulties including nonadherence with skill-building homework and early discontinuation of treatment. Automated messaging can be used in clinical settings to increase dosage of depression treatment and encourage sustained engagement with psychotherapy. Objectives The aim of this study was to test whether a text messaging adjunct (mood monitoring text messages, treatment-related text messages, and a clinician dashboard to display patient data) increases engagement and improves clinical outcomes in a group CBT treatment for depression. Specifically, we aim to assess whether the text messaging adjunct led to an increase in group therapy sessions attended, an increase in duration of therapy attended, and reductions in Patient Health Questionnaire-9 item (PHQ-9) symptoms compared with the control condition of standard group CBT in a sample of low-income Spanish speaking Latino patients. Methods Patients in an outpatient behavioral health clinic were assigned to standard group CBT for depression (control condition; n=40) or the same treatment with the addition of a text messaging adjunct (n=45). The adjunct consisted of a daily mood monitoring message, a daily message reiterating the theme of that week’s content, and medication and appointment reminders. Mood data and qualitative responses were sent to a Web-based platform (HealthySMS) for review by the therapist and displayed in session as a tool for teaching CBT skills. Results Intent-to-treat analyses on therapy attendance during 16 sessions of weekly therapy found that patients assigned to the text messaging adjunct stayed in therapy significantly longer (median of 13.5 weeks before dropping out) than patients assigned to the control condition (median of 3 weeks before dropping out; Wilcoxon-Mann-Whitney z=−2.21, P=.03). Patients assigned to the text messaging adjunct also generally attended more sessions (median=6 sessions) during this period than patients assigned to the control condition (median =2.5 sessions), but the effect was not significant (Wilcoxon-Mann-Whitney z=−1.65, P=.10). Both patients assigned to the text messaging adjunct (B=−.29, 95% CI −0.38 to −0.19, z=−5.80, P<.001) and patients assigned to the control conditions (B=−.20, 95% CI −0.32 to −0.07, z=−3.12, P=.002) experienced significant decreases in depressive symptom severity over the course of treatment; however, the conditions did not significantly differ in their degree of symptom reduction. Conclusions This study provides support for automated text messaging as a tool to sustain engagement in CBT for depression over time. There were no differences in depression outcomes between conditions, but this may be influenced by low follow-up rates of patients who dropped out of treatment.
Collapse
Affiliation(s)
- Adrian Aguilera
- School of Social Welfare, University of California, Berkeley, Berkeley, CA, United States.,Zuckerberg San Francisco General Hospital, Department of Psychiatry, University of California, San Francisco, San Francisco, CA, United States
| | - Emma Bruehlman-Senecal
- School of Social Welfare, University of California, Berkeley, Berkeley, CA, United States
| | - Orianna Demasi
- Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, United States
| | - Patricia Avila
- School of Social Welfare, University of California, Berkeley, Berkeley, CA, United States.,Zuckerberg San Francisco General Hospital, Department of Psychiatry, University of California, San Francisco, San Francisco, CA, United States
| |
Collapse
|
10
|
Robotham D, Satkunanathan S, Reynolds J, Stahl D, Wykes T. Using digital notifications to improve attendance in clinic: systematic review and meta-analysis. BMJ Open 2016; 6:e012116. [PMID: 27798006 PMCID: PMC5093388 DOI: 10.1136/bmjopen-2016-012116] [Citation(s) in RCA: 53] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/22/2023] Open
Abstract
OBJECTIVES Assess the impact of text-based electronic notifications on improving clinic attendance, in relation to study quality (according to risk of bias), and to assess simple ways in which notifications can be optimised (ie, impact of multiple notifications). DESIGN Systematic review, study quality appraisal assessing risk of bias, data synthesised in meta-analyses. DATA SOURCES MEDLINE, EMBASE, PsycINFO, Web of Science and Cochrane Database of Systematic Reviews (01.01.05 until 25.4.15). A systematic search to discover all studies containing quantitative data for synthesis into meta-analyses. ELIGIBILITY CRITERIA Studies examining the effect of text-based electronic notifications on prescheduled appointment attendance in healthcare settings. Primary analysis included experimental studies where randomisation was used to define allocation to intervention and where a control group consisting of 'no reminders' was used. Secondary meta-analysis included studies comparing text reminders with voice reminders. Studies lacking sufficient information for inclusion (after attempting to contact study authors) were excluded. OUTCOME MEASURES Primary outcomes were rate of attendance/non-attendance at healthcare appointments. Secondary outcome was rate of rescheduled and cancelled appointments. RESULTS 26 articles were included. 21 included in the primary meta-analysis (8345 patients receiving electronic text notifications, 7731 patients receiving no notifications). Studies were included from Europe (9), Asia (7), Africa (2), Australia (2) and America (1). Patients who received notifications were 23% more likely to attend clinic than those who received no notification (risk ratio=1.23, 67% vs 54%). Those receiving notifications were 25% less likely to 'no show' for appointments (risk ratio=.75, 15% vs 21%). Results were similar when accounting for risk of bias, region and publication year. Multiple notifications were significantly more effective at improving attendance than single notifications. Voice notifications appeared more effective than text notifications at improving attendance. CONCLUSIONS Electronic text notifications improve attendance and reduce no shows across healthcare settings. Sending multiple notifications could improve attendance further.
Collapse
Affiliation(s)
- Dan Robotham
- Institute of Psychiatry, Psychology & Neuroscience, King's College London (KCL), London, UK
| | - Safarina Satkunanathan
- Institute of Psychiatry, Psychology & Neuroscience, King's College London (KCL), London, UK
| | - John Reynolds
- South London and Maudsley NHS Foundation Trust, London, UK
| | - Daniel Stahl
- Institute of Psychiatry, Psychology & Neuroscience, King's College London (KCL), London, UK
| | - Til Wykes
- Institute of Psychiatry, Psychology & Neuroscience, King's College London (KCL), London, UK
- South London and Maudsley NHS Foundation Trust, London, UK
| |
Collapse
|
11
|
Delgadillo J, Moreea O, Murphy E, Ali S, Swift JK. Can Low-Cost Strategies Improve Attendance Rates in Brief Psychological Therapy? Double-Blind Randomized Controlled Trial. J Clin Psychol 2015; 71:1139-52. [PMID: 26425941 DOI: 10.1002/jclp.22228] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
OBJECTIVES To assess if telephone text message appointment reminders and orientation leaflets can increase the proportion of patients who attend brief interventions after being assessed as suitable for guided self-help following cognitive behavioral therapy principles. METHOD Attendance was operationally defined as having accessed at least 1 therapy appointment. A secondary outcome was the proportion of attenders who completed or dropped out of therapy. After initial assessment, 254 patients with depression and anxiety disorders were randomly assigned to 1 of 3 groups: (a) usual waitlist control, (b) leaflet, (c) leaflet plus text message. Differences in the proportions of patients who started and completed therapy across groups were assessed using chi-square and logistic regression analyses. RESULTS Overall, 63% of patients in this sample attended therapy. Between-group differences were not significant for attendance, x(2) (2) = 3.94, p = .14, or completion rates, x(2) (2) = 2.98, p = .23. These results were not confounded by demographic or clinical characteristics. CONCLUSIONS Low-cost strategies appear to make no significant difference to therapy attendance and completion rates.
Collapse
|
12
|
Vernig PM, Repique RJR. Short message service can be a promising tool for psychiatric patients and clinicians. J Am Psychiatr Nurses Assoc 2015; 21:31-3. [PMID: 25678167 DOI: 10.1177/1078390314566883] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Short message service (SMS), commonly referred to as text messaging, allows instantaneous communication between mobile telephones and other systems via 160-character messages. SMS has a wide reach, and thus researchers and public health officials have considered using this platform for health-related communication. Today, as our society continues to integrate components of automation in various forms and levels of human interaction, and with the increasing ubiquity of mobile technology in health care, technology-delivered health interventions such as SMS offer a creative alternative that can be a valuable tool to assist mental health patients in their own treatment and recovery and for the mental health clinicians who are responsible for providing care and its delivery.
Collapse
Affiliation(s)
- Peter M Vernig
- Peter M. Vernig, PhD, Renee John R. Repique, MS, RN, NEA-BC, Friends Hospital, Philadelphia, PA, USA
| | - Renee John R Repique
- Peter M. Vernig, PhD, Renee John R. Repique, MS, RN, NEA-BC, Friends Hospital, Philadelphia, PA, USA
| |
Collapse
|
13
|
Evaluating an e-mental health program ("deprexis") as adjunctive treatment tool in psychotherapy for depression: design of a pragmatic randomized controlled trial. BMC Psychiatry 2014; 14:285. [PMID: 25298158 PMCID: PMC4195959 DOI: 10.1186/s12888-014-0285-9] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2014] [Accepted: 09/30/2014] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Major depressive disorder (MDD) places a significant disease burden on individuals as well as on societies. Several web-based interventions for MDD have shown to be effective in reducing depressive symptoms. However, it is not known whether web-based interventions, when used as adjunctive treatment tools to regular psychotherapy, have an additional effect compared to regular psychotherapy for depression. METHODS/DESIGN This study is a currently recruiting pragmatic randomized controlled trial (RCT) that compares regular psychotherapy plus a web-based depression program ("deprexis") with a control condition exclusively receiving regular psychotherapy. Adults with a depressive disorder (N = 800) will be recruited in routine secondary care from therapists over the course of their initial sessions and will then be randomized within therapists to one of the two conditions. The primary outcome is depressive symptoms measured with the Beck Depression Inventory (BDI-II) at three months post randomization. Secondary outcomes include changes on various indicators such as anxiety, somatic symptoms and quality of life. All outcomes are again assessed at the secondary endpoint six months post randomization. In addition, the working alliance and feasibility/acceptability of the treatment condition will be explored. DISCUSSION This is the first randomized controlled trial to examine the feasibility/acceptability and the effectiveness of a combination of traditional face-to-face psychotherapy and web-based depression program compared to regular psychotherapeutic treatment in depressed outpatients in routine care. TRIAL REGISTRATION ISRCTN20165665.
Collapse
|
14
|
Lin H, Wu X. Intervention strategies for improving patient adherence to follow-up in the era of mobile information technology: a systematic review and meta-analysis. PLoS One 2014; 9:e104266. [PMID: 25100267 PMCID: PMC4123963 DOI: 10.1371/journal.pone.0104266] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2014] [Accepted: 07/07/2014] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Patient adherence to follow-up plays a key role in the medical surveillance of chronic diseases and affects the implementation of clinical research by influencing cost and validity. We previously reported a randomized controlled trial (RCT) on short message service (SMS) reminders, which significantly improved follow-up adherence in pediatric cataract treatment. METHODS RCTs published in English that reported the impact of SMS or telephone reminders on increasing or decreasing the follow-up rate (FUR) were selected from Medline, EMBASE, PubMed, and the Cochrane Library through February 2014. The impacts of SMS and telephone reminders on the FUR of patients were systematically evaluated by meta-analysis and bias was assessed. RESULTS We identified 13 RCTs reporting on 3276 patients with and 3402 patients without SMS reminders and 8 RCTs reporting on 2666 patients with and 3439 patients without telephone reminders. For the SMS reminders, the majority of the studies (>50%) were at low risk of bias, considering adequate sequence generation, allocation concealment, blinding, evaluation of incomplete outcome data, and lack of selective reporting. For the studies on the telephone reminders, only the evaluation of incomplete outcome data accounted for more than 50% of studies being at low risk of bias. The pooled odds ratio (OR) for the improvement of follow-up adherence in the SMS group compared with the control group was 1.76 (95% CI [1.37, 2.26]; P<0.01), and the pooled OR for the improvement of follow-up adherence in the telephone group compared with the control group was 2.09 (95% CI [1.85, 2.36]; P<0.01); both sets showed no evidence of publication bias. CONCLUSIONS SMS and telephone reminders could both significantly improve the FUR. Telephone reminders were more effective but had a higher risk of bias than SMS reminders.
Collapse
Affiliation(s)
- Haotian Lin
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
| | - Xiaohang Wu
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
| |
Collapse
|