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Factors for predicting premature termination from a multidisciplinary inpatient chronic pain program
1Pain Management Service, Departments of Anesthesiology and Psychiatry, Mount Sinai School of Medicine, New York, NYU.S.A. Orthopaedic-Arthritis Pain Center, Hospital for Joint Diseases Orthopaedic Institute, New York, NYU.S.A.
Pain
|December 1, 1989
Summary
Predicting chronic pain patient program completion is possible. Pre-admission factors like psychopathology levels and social support can indicate if patients will complete multidisciplinary pain programs.
Area of Science:
- Pain Management
- Psychology
- Healthcare Management
Background:
- Multidisciplinary pain programs aim to improve patient outcomes.
- Patient adherence to lengthy treatment programs can be challenging.
- Understanding factors influencing program completion is crucial for optimizing care.
Purpose of the Study:
- To identify pre-admission predictors of treatment completion in chronic pain patients.
- To compare characteristics of patients who completed a 21-day inpatient pain program versus those who did not.
- To inform strategies for improving patient retention in pain management programs.
Main Methods:
- Comparative study of 48 chronic pain patients who did not complete a 21-day inpatient program against a matched group who did.
- Utilized pre-admission assessments including MMPI (Minnesota Multiphasic Personality Inventory), POMS (Profile of Mood States), and MPQ (McGill Pain Questionnaire).
- Analyzed data from a specially created program questionnaire to identify predictive factors.
Main Results:
- Patients not completing the program reported less psychopathology on psychological assessments.
- Non-completers had a higher incidence of pain-related surgeries and were more likely to be college graduates.
- Limited family social support and lower MMPI premature termination scale scores were associated with non-completion.
Conclusions:
- Pre-admission psychological and social factors can predict chronic pain patient adherence to inpatient multidisciplinary programs.
- Identifying at-risk patients early can allow for targeted interventions to improve program completion rates.
- Findings have implications for tailoring pain management strategies to enhance patient engagement and treatment success.