Literature DB >> 19536965

Personality characteristics of health care satisfaction survey non-respondents.

Thomas G McLeod1, Brian A Costello, Robert C Colligan, Ross A Dierkhising, Timothy J Beebe, Kenneth P Offord, G Richard Locke.   

Abstract

PURPOSE: Patient satisfaction surveys are increasingly used to assess the quality of health care delivery. Unfortunately, survey non-response may compromise generalizability (and inferential value). Although prior studies demonstrate an association between patient socio-demographic variables and response rate, relatively little information is available linking personality factors to non-response. This paper's purpose is to define outpatient satisfaction survey non-responder personality characteristics. DESIGN/METHODOLOGY/APPROACH: Minnesota Multiphasic Personality Inventory profiles of patients who completed an outpatient satisfaction survey were compared with non-responder profiles. Multivariate analysis was used to adjust for demographic and personality covariates. The study sample included 1,862 medical outpatients who were sent a satisfaction survey and Minnesota Multiphasic Personality Inventory results on record at this institution. Of these, 1,255 were survey responders and 607 were non-responders.
FINDINGS: Scores on three Minnesota Multiphasic Personality Inventory scales were significantly correlated with non-response: higher scores on scales 4--Psychopathic deviate (Pd) and 8--Schizophrenia (Sc) predicted an increased likelihood of non-response (odds ratio [OR], 1.02; p < or = 0.05 for both), and higher scores on 7--sychasthenia (Pt) were associated with a decreased likelihood of non-response (OR, 0.98; p < or = 0.01). ORIGINALITY/VALUE: Prior investigations demonstrate an association between patient socio-demographic factors and survey non-response. This paper uniquely highlights patient personality characteristics' contribution to non-response. This information is an important consideration for patient satisfaction survey design, administration and interpretation.

Entities:  

Mesh:

Year:  2009        PMID: 19536965     DOI: 10.1108/09526860910944638

Source DB:  PubMed          Journal:  Int J Health Care Qual Assur        ISSN: 0952-6862


  8 in total

1.  Association of Clinician Denial of Patient Requests With Patient Satisfaction.

Authors:  Anthony Jerant; Joshua J Fenton; Richard L Kravitz; Daniel J Tancredi; Elizabeth Magnan; Klea D Bertakis; Peter Franks
Journal:  JAMA Intern Med       Date:  2018-01-01       Impact factor: 21.873

2.  Evaluating survey quality in health services research: a decision framework for assessing nonresponse bias.

Authors:  Jonathon R B Halbesleben; Marilyn V Whitman
Journal:  Health Serv Res       Date:  2012-10-10       Impact factor: 3.402

3.  A pessimistic explanatory style is prognostic for poor lung cancer survival.

Authors:  Paul Novotny; Robert C Colligan; Daniel W Szydlo; Matthew M Clark; Sarah Rausch; Jason Wampfler; Jeff A Sloan; Ping Yang
Journal:  J Thorac Oncol       Date:  2010-03       Impact factor: 15.609

4.  Heightened attention to medical privacy: challenges for unbiased sample recruitment and a possible solution.

Authors:  Ann Butler Nattinger; Liliana E Pezzin; Rodney A Sparapani; Joan M Neuner; Toni K King; Purushottam W Laud
Journal:  Am J Epidemiol       Date:  2010-07-21       Impact factor: 4.897

5.  Association of Hospital Characteristics and Previous Hospitalization-Related Experiences with Patients' Perceptions of Hospital Care in China.

Authors:  Yufan Wang; Beizhu Ye; Yimei Zhu; Xiaoyu Wang; Yuan Liang
Journal:  Int J Environ Res Public Health       Date:  2022-06-27       Impact factor: 4.614

6.  A descriptive systematic review of the relationship between personality traits and quality of life of women with non-metastatic breast cancer.

Authors:  Veerle Marieke Wintraecken; Sophie Vulik; Sabine de Wild; Carmen Dirksen; Linetta B Koppert; Jolanda de Vries; Marjolein L Smidt
Journal:  BMC Cancer       Date:  2022-04-19       Impact factor: 4.638

7.  Evaluation of a digital health resource providing physiotherapy information for postnatal women in a tertiary public hospital in Australia.

Authors:  Kate Goode
Journal:  Mhealth       Date:  2018-09-26

8.  Do pessimists report worse outcomes after total hip arthroplasty?

Authors:  Jasvinder A Singh; Robert C Colligan; Megan M O'Byrne; David G Lewallen
Journal:  BMC Musculoskelet Disord       Date:  2016-05-04       Impact factor: 2.362

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.