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Factors associated with patient no‐show rates in an academic pain management practice.

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Title: Factors associated with patient no‐show rates in an academic pain management practice.
Authors: Burshtein, Aaron, Shekane, Paul
Source: Pain Practice. Feb2025, Vol. 25 Issue 2, p1-5. 5p.
Subjects: Chronic pain treatment, Health services accessibility, Patient compliance, Academic medical centers, Medical specialties & specialists, Retrospective studies, Descriptive statistics, Age distribution, Pain management, Medical appointments, Medical records, Acquisition of data, Internal medicine, Data analysis software, Medical referrals, Lumbar pain
Geographic Terms: United States
Abstract: Objectives: Chronic pain is a debilitating, multifactorial condition. The purpose of this study was to examine patient characteristics of those who did not show up for their scheduled first pain medicine appointment in order to identify factors that may improve access to care. Methods: This was a retrospective analysis of 810 patients from a single‐center academic pain management clinic between January 1, 2022, and December 31, 2023. Results: Overall no‐show rate was 57%. There was a mean of 133 days (4.3 months) from scheduling to the appointment date. Patients age ≤ 30 years had the highest no‐show rate (69%), and those ≥81 years had the lowest (49%). Hispanic and Caucasian patients had similar no‐show rates (59% and 57%, respectively) and Asian patients had lower rate (41%). Referral from another specialty had a significantly lower no‐show rate (36% vs. 89%, p < 0.001). The presence of referral (p < 0.001) was a significant predictor of lower no‐show rates. Of the 191 patients with low back pain, internal medicine (38.7%) was the most referring specialty. Discussion: High no‐show rates were present particularly among younger patients. Having a referral from another specialty was an independent predictor of lower no‐show rates. [ABSTRACT FROM AUTHOR]
Copyright of Pain Practice is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Objectives: Chronic pain is a debilitating, multifactorial condition. The purpose of this study was to examine patient characteristics of those who did not show up for their scheduled first pain medicine appointment in order to identify factors that may improve access to care. Methods: This was a retrospective analysis of 810 patients from a single‐center academic pain management clinic between January 1, 2022, and December 31, 2023. Results: Overall no‐show rate was 57%. There was a mean of 133 days (4.3 months) from scheduling to the appointment date. Patients age ≤ 30 years had the highest no‐show rate (69%), and those ≥81 years had the lowest (49%). Hispanic and Caucasian patients had similar no‐show rates (59% and 57%, respectively) and Asian patients had lower rate (41%). Referral from another specialty had a significantly lower no‐show rate (36% vs. 89%, p &lt; 0.001). The presence of referral (p &lt; 0.001) was a significant predictor of lower no‐show rates. Of the 191 patients with low back pain, internal medicine (38.7%) was the most referring specialty. Discussion: High no‐show rates were present particularly among younger patients. Having a referral from another specialty was an independent predictor of lower no‐show rates. [ABSTRACT FROM AUTHOR]
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  Data: &lt;i&gt;Copyright of Pain Practice is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder&#39;s express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.&lt;/i&gt; (Copyright applies to all Abstracts.)
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        Value: 10.1111/papr.70003
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        Text: English
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        PageCount: 5
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    Subjects:
      – SubjectFull: Chronic pain treatment
        Type: general
      – SubjectFull: Health services accessibility
        Type: general
      – SubjectFull: Patient compliance
        Type: general
      – SubjectFull: Academic medical centers
        Type: general
      – SubjectFull: Medical specialties & specialists
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      – SubjectFull: Retrospective studies
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      – SubjectFull: Descriptive statistics
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      – SubjectFull: Age distribution
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      – SubjectFull: Pain management
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      – SubjectFull: Medical appointments
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      – SubjectFull: Acquisition of data
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      – SubjectFull: Internal medicine
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      – SubjectFull: Data analysis software
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      – SubjectFull: Medical referrals
        Type: general
      – SubjectFull: Lumbar pain
        Type: general
      – SubjectFull: United States
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      – TitleFull: Factors associated with patient no‐show rates in an academic pain management practice.
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              Text: Feb2025
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