Literature DB >> 26695719

Depression and literacy are important factors for missed appointments.

Lisa Renee Miller-Matero1,2, Kalin Burkhardt Clark1,2, Carly Brescacin1,2, Hala Dubaybo1, David E Willens2.   

Abstract

Multiple variables are related to missed clinic appointments. However, the prevalence of missed appointments is still high suggesting other factors may play a role. The purpose of this study was to investigate the relationship between missed appointments and multiple variables simultaneously across a health care system, including patient demographics, psychiatric symptoms, cognitive functioning and literacy status. Chart reviews were conducted on 147 consecutive patients who were seen by a primary care psychologist over a six month period and completed measures to determine levels of depression, anxiety, sleep, cognitive functioning and health literacy. Demographic information and rates of missed appointments were also collected from charts. The average rate of missed appointments was 15.38%. In univariate analyses, factors related to higher rates of missed appointments included younger age (p = .03), lower income (p = .05), probable depression (p = .05), sleep difficulty (p = .05) and limited reading ability (p = .003). There were trends for a higher rate of missed appointments for patients identifying as black (p = .06), government insurance (p = .06) and limited math ability (p = .06). In a multivariate model, probable depression (p = .02) and limited reading ability (p = .003) were the only independent predictors. Depression and literacy status may be the most important factors associated with missed appointments. Implications are discussed including regular screening for depression and literacy status as well as interventions that can be utilized to help improve the rate of missed appointments.

Entities:  

Keywords:  Depression; integrated care; literacy; missed appointments

Mesh:

Year:  2015        PMID: 26695719     DOI: 10.1080/13548506.2015.1120329

Source DB:  PubMed          Journal:  Psychol Health Med        ISSN: 1354-8506            Impact factor:   2.423


  3 in total

1.  Identifying Predictors of Emergency Room Utilization in Primary Care.

Authors:  Lisa Renee Miller-Matero; Joseph Patrick Coleman; Ramon Aragon; Jeffrey Yanez
Journal:  J Gen Intern Med       Date:  2018-10       Impact factor: 5.128

2.  Exploring User Needs for a Mobile Behavioral-Sensing Technology for Depression Management: Qualitative Study.

Authors:  Jingbo Meng; Syed Ali Hussain; David C Mohr; Mary Czerwinski; Mi Zhang
Journal:  J Med Internet Res       Date:  2018-07-17       Impact factor: 5.428

3.  Decreasing Avoidable Vision Loss: Identifying Antecedents of Adherence.

Authors:  Alan R Morse; William H Seiple
Journal:  Clin Ophthalmol       Date:  2020-11-02
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.