Literature DB >> 23607670

Reducing appointment no-shows: going from theory to practice.

Todd Molfenter1.   

Abstract

Addiction appointment no-shows adversely impact clinical outcomes and healthcare productivity. During 2007-2010, 67 treatment organizations in the Strengthening Treatment Access and Retention program were asked to reduce their no-show rates by using practices taken from no-show research and theory. These treatment organizations reduced outpatient no-show rates from 37.4% to 19.9% (p = .000), demonstrated which practices they preferred to implement, and which practices were most effective in reducing no-show rates. This study provides an applied synthesis of addiction treatment no-show research and suggests future directions for no-show research and practice.

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Year:  2013        PMID: 23607670      PMCID: PMC3962267          DOI: 10.3109/10826084.2013.787098

Source DB:  PubMed          Journal:  Subst Use Misuse        ISSN: 1082-6084            Impact factor:   2.164


  28 in total

1.  Effectiveness of reminder systems on appointment adherence rates.

Authors:  S Maxwell; R Maljanian; S Horowitz; M A Pianka; Y Cabrera; J Greene
Journal:  J Health Care Poor Underserved       Date:  2001-11

2.  Access to transportation and health care utilization in a rural region.

Authors:  Thomas A Arcury; John S Preisser; Wilbert M Gesler; James M Powers
Journal:  J Rural Health       Date:  2005       Impact factor: 4.333

3.  From telephone to office: intake attendance as a function of appointment delay.

Authors:  David S Festinger; R J Lamb; Douglas B Marlowe; Kimberly C Kirby
Journal:  Addict Behav       Date:  2002 Jan-Feb       Impact factor: 3.913

4.  Reducing non-attendance at outpatient clinics.

Authors:  C A Stone; J H Palmer; P J Saxby; V S Devaraj
Journal:  J R Soc Med       Date:  1999-03       Impact factor: 5.344

5.  Methods for enhancing transition of substance dependent patients from inpatient to outpatient treatment.

Authors:  M A Chutuape; E C Katz; M L Stitzer
Journal:  Drug Alcohol Depend       Date:  2001-01-01       Impact factor: 4.492

6.  Assessing the accuracy of administrative data in health information systems.

Authors:  John W Peabody; Jeff Luck; Sharad Jain; Dan Bertenthal; Peter Glassman
Journal:  Med Care       Date:  2004-11       Impact factor: 2.983

7.  Predicting methadone maintenance treatment outcomes using the Addiction Severity Index and the MMPI-2 Content Scales (Negative Treatment Indicators and Cynism scales).

Authors:  Robert J Craig; Ronald E Olson
Journal:  Am J Drug Alcohol Abuse       Date:  2004-11       Impact factor: 3.829

8.  Why we don't come: patient perceptions on no-shows.

Authors:  Naomi L Lacy; Audrey Paulman; Matthew D Reuter; Bruce Lovejoy
Journal:  Ann Fam Med       Date:  2004 Nov-Dec       Impact factor: 5.166

9.  Factors associated with patient dropout from an outpatient alcoholism treatment service.

Authors:  G Leigh; A C Ogborne; P Cleland
Journal:  J Stud Alcohol       Date:  1984-07

10.  Estimating the cost of no-shows and evaluating the effects of mitigation strategies.

Authors:  Bjorn P Berg; Michael Murr; David Chermak; Jonathan Woodall; Michael Pignone; Robert S Sandler; Brian T Denton
Journal:  Med Decis Making       Date:  2013-03-20       Impact factor: 2.583

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  28 in total

1.  Impact of IMPACT: Longitudinal Analysis of an Integrated Participant Scheduling System in a Clinical Research Setting.

Authors:  Alex Butler; Junghwan Lee; Yat So; Linda Busacca; Karen Marder; Henry N Ginsberg; Dianne Frederick; Ismael Castaneda; Elizabeth Guerridoi; Chunhua Weng
Journal:  AMIA Annu Symp Proc       Date:  2021-01-25

2.  Paradigm shift: Moving the management of alcohol use disorders from specialized care to primary care.

Authors:  Sheryl Spithoff; Meldon Kahan
Journal:  Can Fam Physician       Date:  2015-06       Impact factor: 3.275

3.  A systemic failure to address at-risk drinking and alcohol use disorders: the Canadian story.

Authors:  Sheryl Spithoff; Suzanne Turner
Journal:  CMAJ       Date:  2015-03-02       Impact factor: 8.262

4.  Factors associated with non-attendance at a hand surgery appointment.

Authors:  Mariano E Menendez; David Ring
Journal:  Hand (N Y)       Date:  2015-06

5.  First-line medications for alcohol use disorders among public drug plan beneficiaries in Ontario.

Authors:  Sheryl Spithoff; Suzanne Turner; Tara Gomes; Diana Martins; Samantha Singh
Journal:  Can Fam Physician       Date:  2017-05       Impact factor: 3.275

6.  Using the theory of constraints' processes of ongoing improvement to address the provider appointment scheduling system design problem.

Authors:  James F Cox Iii; Lynn H Boyd
Journal:  Health Syst (Basingstoke)       Date:  2018-05-11

7.  A Structured Approach to Detecting and Treating Depression in Primary Care: VitalSign6 Project.

Authors:  Manish K Jha; Bruce D Grannemann; Joseph M Trombello; E Will Clark; Sara Levinson Eidelman; Tiffany Lawson; Tracy L Greer; A John Rush; Madhukar H Trivedi
Journal:  Ann Fam Med       Date:  2019-07       Impact factor: 5.166

Review 8.  Primary care management of alcohol use disorder and at-risk drinking: Part 2: counsel, prescribe, connect.

Authors:  Sheryl Spithoff; Meldon Kahan
Journal:  Can Fam Physician       Date:  2015-06       Impact factor: 3.275

9.  Determinants of Clinic Absenteeism: A Novel Method of Examining Distance from Clinic and Transportation.

Authors:  Ryan W Dobbs; Neha R Malhotra; Brandon M Caldwell; Raymond Rojas; Daniel M Moreira; Michael R Abern
Journal:  J Community Health       Date:  2018-02

10.  Behavioral Health Integration into Primary Care: a Microsimulation of Financial Implications for Practices.

Authors:  Sanjay Basu; Bruce E Landon; John W Williams; Asaf Bitton; Zirui Song; Russell S Phillips
Journal:  J Gen Intern Med       Date:  2017-12       Impact factor: 5.128

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