Predicting follow-up functional outcomes in outpatient rehabilitation

被引:21
作者
Baker, JG
Fiedler, RC
Ottenbacher, KJ
Czyrny, JJ
Heinemann, AW
机构
[1] SUNY Buffalo, Dept Rehabil Med, ECMC, Sch Med & Biomed Sci, Buffalo, NY 14215 USA
[2] Univ Texas, Med Branch, Sch Allied Hlth Sci, Galveston, TX 77550 USA
[3] Northwestern Univ, Sch Med, Rehabil Inst Chicago, Chicago, IL USA
关键词
functional outcomes; follow-up; outpatient; musculoskeletal;
D O I
10.1097/00002060-199805000-00004
中图分类号
R49 [康复医学];
学科分类号
100215 ;
摘要
Functional outcomes at an average of six months after outpatient rehabilitation were investigated in a pilot study with a sample of 42 patients receiving physical therapy for low back, neck, and other musculoskeletal problems. Logistic regression analyses were used to study variables related to the achievement of a predetermined level of physical functioning or to whether improvement occurred from initial to follow-up assessment. Scales used in the analyses were obtained from two measures of functioning, the Medical Outcomes Trust Short Form 36 (SF-36) and the Medical Rehabilitation Follow Along (MRFA(TM) instrument). Demographic and program characteristic variables obtained from clinic records were also included in the analyses. The independent variables entered into two groups of regression equations included age, gender, presenting problem, workers' compensation coverage, functioning at initial assessment, number of visits, length of program, and intensity of program. For the SF-36, the General Health scale and presenting problem predicted above or below a level greater than one standard deviation less than the mean on the Physical Functioning scale at follow-up. The combination of the Role Physical and Role Emotional scales predicted follow-up level on the Physical Component Summary (PCS) scale. The interaction of age and intensity of treatment was predictive for both the Physical Functioning and PCS scales, For predicting improvement or no improvement using the SF-36 scales, General Health and the interaction between age and intensity were predictive of change on the Physical Functioning scale, whereas age and the interaction between age and number of visits were predictive of change on the PCS scale. For the MRFA(TM) instrument, the interaction between age and the intensity of treatment was predictive for both a predetermined level of physical functioning and amount of improvement in physical functioning at follow-up. An intensity rating of pain and a measure of affective distress at initial assessment both improved the identification of patients at risk for not reaching a given level of functioning whereas treatment intensity improved the identification of those patients at risk for not showing improvement at follow-up. Length of time between the end of outpatient therapy and follow-up assessment was generally not related to follow-up physical functioning. Interpretation and implications of these findings, as well as applications of this analytic approach to outcomes assessment, are discussed.
引用
收藏
页码:202 / 212
页数:11
相关论文
共 12 条
[1]   Validity of a brief outpatient functional assessment measure [J].
Baker, JG ;
Granger, CV ;
Ottenbacher, KJ .
AMERICAN JOURNAL OF PHYSICAL MEDICINE & REHABILITATION, 1996, 75 (05) :356-363
[2]   A brief outpatient functional assessment measure - Validity using Rasch measures [J].
Baker, JG ;
Granger, CV ;
Fiedler, RC .
AMERICAN JOURNAL OF PHYSICAL MEDICINE & REHABILITATION, 1997, 76 (01) :8-13
[3]  
BAKER JG, 1997, PHYSICAL MED REHAB S
[4]   Reliability of a brief outpatient functional outcome assessment measure [J].
Granger, CV ;
Ottenbacher, KJ ;
Baker, JG ;
Sehgal, A .
AMERICAN JOURNAL OF PHYSICAL MEDICINE & REHABILITATION, 1995, 74 (06) :469-475
[5]   FUNCTIONAL ASSESSMENT AND ITS PLACE IN HEALTH-CARE [J].
IKEGAMI, N .
NEW ENGLAND JOURNAL OF MEDICINE, 1995, 332 (09) :598-599
[6]   USING HEALTH-STATUS MEASURES IN THE HOSPITAL SETTING - FROM ACUTE CARE TO OUTCOMES MANAGEMENT [J].
LANSKY, D ;
BUTLER, JBV ;
WALLER, FT .
MEDICAL CARE, 1992, 30 (05) :MS57-MS73
[7]  
*SPSS INC, 1993, SPSS R WINDOWS TM AD
[8]  
*SPSS INC, 1995, STAT PACK SOC SCI 7
[9]   A prediction model for functional recovery in stroke [J].
Stineman, MG ;
Maislin, G ;
Fiedler, RC ;
Granger, CV .
STROKE, 1997, 28 (03) :550-556
[10]  
WARE JE, 1994, SF36 PHYSICAL MENTAL