Determinants of patient satisfaction in an academic rheumatology practice

Jennifer H. Ku, Abhijeet Danve, Helena Pang, Dongseok Choi, James (Jim) Rosenbaum

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

Background Although patient satisfaction is used as a measure of physician performance and is an essential component of chronic disease management, there is limited understanding about factors affecting satisfaction in rheumatologic settings. Objective Our study aimed to identify factors affecting satisfaction in outpatients with rheumatic diseases by correlating satisfaction with various factors. Methods We conducted a cross-sectional cohort study of rheumatology patients at Oregon Health & Science University in 2013. Patient satisfaction ratings were obtained, and data were collected from medical records. Descriptive and quantile regression analyses were performed to describe the population and to model predictors of satisfaction. Results We obtained data from 573 patients, 76% were females, 92% were non-Hispanic white, with a mean age of 50 (SD, 15) years. Female gender (β = 7.51; 95% confidence interval [CI], 6.16-8.86), older age (β = 0.10; 95% CI, 0.01-0.20), and follow-up visit (β = 4.04; 95% CI, 0.14-7.93) had a positive impact on satisfaction, whereas polymyalgia rheumatica (β = -9.25; 95% CI, -15.25 to -3.25), arthralgia (β = -8.67; 95% CI, -16.60 to -0.74), myalgia (β = -8.67; 95% CI, -16.60 to -0.74), gout (β = -7.5; 95% CI, -14.13 to -0.89), ankylosing spondylitis (β = -5.20; 95% CI, -9.65 to -0.75), pain (β = -4.62; 95% CI, -8.43 to -0.81), fibromyalgia (β = -4.62; 95% CI, -7.80 to -1.44), longer visit duration (β = -0.08; 95% CI, -0.13 to -0.03), and afternoon appointments (β = -4.62; 95% CI, -7.04 to -2.20) had an inverse effect. Conclusions Factors contributing to satisfaction scores differed for median satisfaction level and lower satisfaction level. Most of the factors identified as influencing patient satisfaction were unrelated to the physician or the skills of that physician.

Original languageEnglish (US)
Pages (from-to)256-262
Number of pages7
JournalJournal of Clinical Rheumatology
Volume21
Issue number5
DOIs
StatePublished - Aug 6 2015

Fingerprint

Rheumatology
Patient Satisfaction
Confidence Intervals
Physicians
Polymyalgia Rheumatica
Fibromyalgia
Gout
Myalgia
Ankylosing Spondylitis
Arthralgia
Disease Management
Rheumatic Diseases
Medical Records
Appointments and Schedules
Chronic Disease
Cohort Studies
Outpatients
Cross-Sectional Studies
Regression Analysis

Keywords

  • patient satisfaction
  • rheumatic diagnosis
  • rheumatology

ASJC Scopus subject areas

  • Rheumatology

Cite this

Determinants of patient satisfaction in an academic rheumatology practice. / Ku, Jennifer H.; Danve, Abhijeet; Pang, Helena; Choi, Dongseok; Rosenbaum, James (Jim).

In: Journal of Clinical Rheumatology, Vol. 21, No. 5, 06.08.2015, p. 256-262.

Research output: Contribution to journalArticle

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abstract = "Background Although patient satisfaction is used as a measure of physician performance and is an essential component of chronic disease management, there is limited understanding about factors affecting satisfaction in rheumatologic settings. Objective Our study aimed to identify factors affecting satisfaction in outpatients with rheumatic diseases by correlating satisfaction with various factors. Methods We conducted a cross-sectional cohort study of rheumatology patients at Oregon Health & Science University in 2013. Patient satisfaction ratings were obtained, and data were collected from medical records. Descriptive and quantile regression analyses were performed to describe the population and to model predictors of satisfaction. Results We obtained data from 573 patients, 76{\%} were females, 92{\%} were non-Hispanic white, with a mean age of 50 (SD, 15) years. Female gender (β = 7.51; 95{\%} confidence interval [CI], 6.16-8.86), older age (β = 0.10; 95{\%} CI, 0.01-0.20), and follow-up visit (β = 4.04; 95{\%} CI, 0.14-7.93) had a positive impact on satisfaction, whereas polymyalgia rheumatica (β = -9.25; 95{\%} CI, -15.25 to -3.25), arthralgia (β = -8.67; 95{\%} CI, -16.60 to -0.74), myalgia (β = -8.67; 95{\%} CI, -16.60 to -0.74), gout (β = -7.5; 95{\%} CI, -14.13 to -0.89), ankylosing spondylitis (β = -5.20; 95{\%} CI, -9.65 to -0.75), pain (β = -4.62; 95{\%} CI, -8.43 to -0.81), fibromyalgia (β = -4.62; 95{\%} CI, -7.80 to -1.44), longer visit duration (β = -0.08; 95{\%} CI, -0.13 to -0.03), and afternoon appointments (β = -4.62; 95{\%} CI, -7.04 to -2.20) had an inverse effect. Conclusions Factors contributing to satisfaction scores differed for median satisfaction level and lower satisfaction level. Most of the factors identified as influencing patient satisfaction were unrelated to the physician or the skills of that physician.",
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N2 - Background Although patient satisfaction is used as a measure of physician performance and is an essential component of chronic disease management, there is limited understanding about factors affecting satisfaction in rheumatologic settings. Objective Our study aimed to identify factors affecting satisfaction in outpatients with rheumatic diseases by correlating satisfaction with various factors. Methods We conducted a cross-sectional cohort study of rheumatology patients at Oregon Health & Science University in 2013. Patient satisfaction ratings were obtained, and data were collected from medical records. Descriptive and quantile regression analyses were performed to describe the population and to model predictors of satisfaction. Results We obtained data from 573 patients, 76% were females, 92% were non-Hispanic white, with a mean age of 50 (SD, 15) years. Female gender (β = 7.51; 95% confidence interval [CI], 6.16-8.86), older age (β = 0.10; 95% CI, 0.01-0.20), and follow-up visit (β = 4.04; 95% CI, 0.14-7.93) had a positive impact on satisfaction, whereas polymyalgia rheumatica (β = -9.25; 95% CI, -15.25 to -3.25), arthralgia (β = -8.67; 95% CI, -16.60 to -0.74), myalgia (β = -8.67; 95% CI, -16.60 to -0.74), gout (β = -7.5; 95% CI, -14.13 to -0.89), ankylosing spondylitis (β = -5.20; 95% CI, -9.65 to -0.75), pain (β = -4.62; 95% CI, -8.43 to -0.81), fibromyalgia (β = -4.62; 95% CI, -7.80 to -1.44), longer visit duration (β = -0.08; 95% CI, -0.13 to -0.03), and afternoon appointments (β = -4.62; 95% CI, -7.04 to -2.20) had an inverse effect. Conclusions Factors contributing to satisfaction scores differed for median satisfaction level and lower satisfaction level. Most of the factors identified as influencing patient satisfaction were unrelated to the physician or the skills of that physician.

AB - Background Although patient satisfaction is used as a measure of physician performance and is an essential component of chronic disease management, there is limited understanding about factors affecting satisfaction in rheumatologic settings. Objective Our study aimed to identify factors affecting satisfaction in outpatients with rheumatic diseases by correlating satisfaction with various factors. Methods We conducted a cross-sectional cohort study of rheumatology patients at Oregon Health & Science University in 2013. Patient satisfaction ratings were obtained, and data were collected from medical records. Descriptive and quantile regression analyses were performed to describe the population and to model predictors of satisfaction. Results We obtained data from 573 patients, 76% were females, 92% were non-Hispanic white, with a mean age of 50 (SD, 15) years. Female gender (β = 7.51; 95% confidence interval [CI], 6.16-8.86), older age (β = 0.10; 95% CI, 0.01-0.20), and follow-up visit (β = 4.04; 95% CI, 0.14-7.93) had a positive impact on satisfaction, whereas polymyalgia rheumatica (β = -9.25; 95% CI, -15.25 to -3.25), arthralgia (β = -8.67; 95% CI, -16.60 to -0.74), myalgia (β = -8.67; 95% CI, -16.60 to -0.74), gout (β = -7.5; 95% CI, -14.13 to -0.89), ankylosing spondylitis (β = -5.20; 95% CI, -9.65 to -0.75), pain (β = -4.62; 95% CI, -8.43 to -0.81), fibromyalgia (β = -4.62; 95% CI, -7.80 to -1.44), longer visit duration (β = -0.08; 95% CI, -0.13 to -0.03), and afternoon appointments (β = -4.62; 95% CI, -7.04 to -2.20) had an inverse effect. Conclusions Factors contributing to satisfaction scores differed for median satisfaction level and lower satisfaction level. Most of the factors identified as influencing patient satisfaction were unrelated to the physician or the skills of that physician.

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