Corrected FIM effectiveness as an index independent of FIM score on admission

Similar documents
Three different methods for demonstrating that gain in Functional Independence Measure increases with higher cognitive ability

Relationship between cognitive FIM score and motor FIM gain in patients with stroke in a Kaifukuki rehabilitation ward

Department of Sogo Rehabilitation, Kumamoto Kinoh Hospital, Kumamoto, Japan

Original Article. Japanese Journal of Comprehensive Rehabilitation Science (2012) 1/7

Stroke Outcomes in Australia - five years of AROC data- Tara Stevermuer AROC Data Manager

Factors of Influence on the Walking Ability of Children with Spastic Cerebral Palsy

AN-SNAP Class allocation. There are two steps to allocating a SNAP class for each patient

ALTITUDE TRAINING FOR IMPROVING SWIMMING PERFORMANCE AT SEA LEVEL. MITSUMASA MIYASHITA, YOSHITERU MUTOH and YOSHIHARU YAMAMOTO.

Flip-flop footwear with a moulded foot-bed for the treatment of foot pain: a randomised controlled trial

Termination of Resuscitation in the Prehospital Setting

Cambridge International Examinations Cambridge Ordinary Level

Equation 1: F spring = kx. Where F is the force of the spring, k is the spring constant and x is the displacement of the spring. Equation 2: F = mg

The State of Orthopaedic Rehabilitation in Australia, 2005

Crash Patterns in Western Australia. Kidd B., Main Roads Western Australia Willett P., Traffic Research Services

Age gradient in the cost-effectiveness of bicycle helmets Kopjar B, Wickizer T M

The Effect of a Seven Week Exercise Program on Golf Swing Performance and Musculoskeletal Screening Scores

A Group of Factors Influencing the Development of the Greeks Volleyball Athletes at School Age

Key statistics from the National Cardiac Arrest Audit 2016/17

Center of Mass Acceleration as a Surrogate for Force Production After Spinal Cord Injury Effects of Inclined Treadmill Walking

Analysis of the Interrelationship Among Traffic Flow Conditions, Driving Behavior, and Degree of Driver s Satisfaction on Rural Motorways

Jodi M. Cossor and Bruce R. Mason Australian lnstitute of Sport Biomechanics Department, Canberra, Australia

Journal of Emerging Trends in Computing and Information Sciences

2017 North Pacific Albacore Stock Assessment

Clinical Study Synopsis

Test-Retest Reliability of the StepWatch Activity Monitor Outputs in Individuals

JEPonline Journal of Exercise Physiologyonline

Competitive Performance of Elite Olympic-Distance Triathletes: Reliability and Smallest Worthwhile Enhancement

ANALYSIS OF SATURATION FLOW RATE FLUCTUATION FOR SHARED LEFT-TURN LANE AT SIGNALIZD INTERSECTIONS *

Gerald D. Anderson. Education Technical Specialist

A Nomogram Of Performances In Endurance Running Based On Logarithmic Model Of Péronnet-Thibault

HHS Public Access Author manuscript Int J Cardiol. Author manuscript; available in PMC 2016 April 15.

An Assessment of Potential Greenhouse Gas Emissions Reductions from Proposed On Street Bikeways

WHAT CAN WE LEARN FROM COMPETITION ANALYSIS AT THE 1999 PAN PACIFIC SWIMMING CHAMPIONSHIPS?

Longitudinal trends in firearm related hospitalizations in the United States: profile and outcomes in 2000 to 2008

Monitoring the length structure of commercial landings of albacore tuna during the fishing year

MEASURING PASSENGER CAR EQUIVALENTS (PCE) FOR LARGE VEHICLES AT SIGNALIZED INTERSECTIONS

Woodie Guthrie - Huntington disease (HD) Symptoms of HD. Changes in driving behavior. Driving simulator performance. Driving simulator performance

Habitat Use and Behavioral Monitoring of Hawaiian Monk Seals in Proximity to the Navy Hawaii Range Complex

OPESAVER Super Irrigation System

Ventilating the Sick Lung Mike Dougherty RRT-NPS

Paper 2.2. Operation of Ultrasonic Flow Meters at Conditions Different Than Their Calibration

Lab 4: Root Locus Based Control Design

West Coast Rock Lobster. Description of sector. History of the fishery: Catch history

CHARACTERISTICS OF LEAK DETECTION BASED ON DIFERENTIAL PRESSURE MEASUREMENT

Analysis of Foot Pressure Variation with Change in Stride Length

Competition performances are related to technique test measures in elite rifle shooters

Acute phase form Year Version

TEMPORAL ANALYSIS OF THE JAVELIN THROW

OXYGEN POWER By Jack Daniels, Jimmy Gilbert, 1979

Unassisted breathing and death as competing events in critical care trials

SUPPLEMENTARY APPENDIX. Ary Serpa Neto MD MSc, Fabienne D Simonis MD, Carmen SV Barbas MD PhD, Michelle Biehl MD, Rogier M Determann MD PhD, Jonathan

Evaluation of walking time according to walking speed using a triaxial accelerometer system

Description: Percentage of cases with median tidal volumes less than or equal to 8 ml/kg.

CPR Quality During OHCA Transport

In 2018 a total of 56,127 students received an ATAR, 934 fewer than in The gender balance was similar to 2017.

WATER HYDRAULIC HIGH SPEED SOLENOID VALVE AND ITS APPLICATION

Applying Hooke s Law to Multiple Bungee Cords. Introduction

Development of High-speed Gas Dissolution Device

Unintentional injuries

Developing an Effective Quantification Method of Tongue Deviation Angle to Assess Stroke Patients

Atmospheric Rossby Waves in Fall 2011: Analysis of Zonal Wind Speed and 500hPa Heights in the Northern and Southern Hemispheres

Hunting for the Sweet Spot by a Seesaw Model

MODELING OF THE INFLOW BEHAVIOR OF EVACUATING CROWD INTO A STAIRWAY

MEMORANDUM. City Constituents. Leilani Schwarcz, Vision Zero Surveillance Epidemiologist, SFDPH

TESTOFEN HUMAN CLINICAL TRIAL GENCOR PACIFIC, INC. Copyright 2006 by Gencor Pacific, Inc.

Behavior under Social Pressure: Empty Italian Stadiums and Referee Bias

Why were anchovy and sardine regime shifts synchronous across the Pacific?

Evaluating the evidence using GRADE. Peter Morley E th October 2012

NHS SPENDING ENGLAND Question 1. a) What is the Annual net expenditure on the NHS from 1997/98 to 2007/08 in England?

GAIT MEASUREMENTS AND MOTOR RECOVERY AFTER STROKE. Plamen S. Mateev, Ina M. Tarkka, Ekaterina B. Titianova

Elements for a public summary

Risk Factors Involved in Cheerleading Injuries

Investigations into the identification and control of outburst risk in Australian underground coal mines

Effects of Age and Body Mass Index on Accuracy of Simple Moderate Vigorous Physical Activity Monitor Under Controlled Condition

Physical activity has a number of benefits

Anthropometric and Biomechanical Characteristics on Body Segments of Koreans

ScienceDirect. Rebounding strategies in basketball

Academic Grant CPR process monitors provided by Zoll. conflict of interest to declare

Simulating Major League Baseball Games

Water Treatment: Fundamentals and Practical Implications of Bubble Formation

Prehospital Hemorrhage Control and Resuscitation

Institutional Review Board - Restriction s Impo sed

Wave Setup at River and Inlet Entrances Due to an Extreme Event

Figure 1a. Top 1% income share: China vs USA vs France

A Comparative Look at Pain Prevalence: Europe and U.S.

AIAA Brush Seal Performance Evaluation. P. F. Crudgington Cross Manufacturing Co. Ltd. Devizes, ENGLAND

Analysis of Shear Lag in Steel Angle Connectors

control of salinity Thanks to David Hall, from LWTL

Skiing and Snowboarding Injuries

Transgender 201: Case Discussion Group

An Analysis of Reducing Pedestrian-Walking-Speed Impacts on Intersection Traffic MOEs

THE INFLUENCE OF SLOW RECOVERY INSOLE ON PLANTAR PRESSURE AND CONTACT AREA DURING WALKING

APPLYING VARIABLE SPEED PRESSURE LIMITING CONTROL DRIVER FIRE PUMPS. SEC Project No

Emergence of a professional sports league and human capital formation for sports: The Japanese Professional Football League.

Protocol: i-stat Cardiac Troponin I Performance Verification

Quantitative assessment of circumduction, hip hiking, and forefoot contact gait using Lissajous figures

Increased Onboard Bicycle Capacity Improved Caltrain s Performance in 2009

LJMU Research Online

A Study of Road Traffic Accident (RTA) Deaths in a Teaching Hospital in Ahmedabad from January 2014 to June 2014 classified according to ICD-10

SECTION 1. The current state of global road safety

Transcription:

7 Japanese Journal of Comprehensive Rehabilitation Science (2014) Original Article Corrected FIM effectiveness as an index independent of FIM score on admission Makoto Tokunaga, MD, PhD, 1 Ryoji Nakanishi, MD, PhD, 1 Susumu Watanabe, MD, PhD, 1 Ichiro Maeshiro, PT, 2 Akane Hyakudome, OT, 2 Kei Sakamoto, OT, 2 Tomoaki Okubo, PT, 2 Shinichi Nojiri, PT, 2 Hiroaki Yamanaga, MD, PhD 2 1 Department of Rehabilitation, Kumamoto Kinoh Hospital, Kumamoto, Japan 2 Seigaen Geriatric Health Service Facility, Kumamoto, Japan Abstract Tokunaga M, Nakanishi R, Watanabe S, Maeshiro I, Hyakudome A, Sakamoto K, Okubo T, Nojiri S, Yamanaga H. Corrected FIM effectiveness as an index independent of FIM score on admission. Jpn J Compr Rehabil Sci 2014; 5: 7-11. Objective: To correct Functional Independence Measure (FIM) effectiveness for low FIM scores to obtain an index independent of FIM score on admission. Methods: A total of 1,101 stroke patients in Kaifukuki rehabilitation wards were studied. They were divided into 13 groups according to the motor FIM score on admission, in 6-point increments. The parameter A was derived so that motor FIM effectiveness, calculated as motor FIM gain/(a motor FIM score on admission), was around 0.65. Results: Motor FIM effectiveness was an index independent of motor FIM score on admission when A was 42, 64, 79, 83, 87, 89, or 91 points (when motor FIM on admission was 13 18 points, 19 24 points, 25 30 points, 31 36 points, 37 42 points, 43 48 points, or 49 90 points). Conclusions: Corrected FIM effectiveness, which is independent of FIM on admission, may be useful for comparisons between hospitals admitting patients with varying degrees of severity. Key words: FIM effectiveness, patient severity, FIM on admission, correction Correspondence: Makoto Tokunaga, MD, PhD Department of Rehabilitation, Kumamoto Kinoh Hospital, 6-8-1 Yamamuro, Kita-ku, Kumamoto 860-8518, Japan. E-mail: tokunaga@juryo.or.jp Accepted: January 21, 2014 No benefits in any form have been or will be received from any commercial party related directly or indirectly to the subject of this manuscript. Introduction The Functional Independence Measure (FIM) is a technique used for evaluating activities of daily living (ADL). The scale consists of 13 motor items (motor FIM) with a score range of 13 91 points, and 5 cognitive items (cognitive FIM) with a score range of 5 35 points. The result indicates to what extent an individual is capable of independent ADL. The mean gain in FIM (FIM score at discharge FIM score on admission) is the greatest for patients with moderate assistance. On the other hand, patients with low FIM scores on admission exhibit little improvement, while those with high FIM scores on admission demonstrate a ceiling effect, and both groups display little gain in FIM. One means of correcting for the ceiling effect is FIM effectiveness, calculated as (FIM at discharge FIM on admission)/(a FIM on admission) [1]. A is generally taken to be 126 points for overall FIM score, and 91 points for motor FIM. For a patient with FIM on admission of 81 points, for example, the maximum motor FIM gain is 10 points (91 81), and if the potential improvement in score is used as the denominator and actual improvement as the numerator, the resulting value between 0 and 1 indicates the actual rate of improvement out of the total potential improvement. The fact that FIM gain is dependent on (affected by) FIM score on admission is a major impediment when comparing mean FIM gain between different hospitals and regions. If the distribution of patient severity (proportions of patients having various degrees of severity) differs between hospitals or regions, this would make it impossible to compare mean FIM gain. The objective of this study was to elucidate whether or not FIM effectiveness is an index that is dependent on FIM score on admission, and if this is the case, to correct it to obtain an index that is independent of FIM score on admission.

8 Tokunaga M et al.: Corrected FIM effectiveness Subjects and Methods A retrospective epidemiological study was conducted. A total of 1,101 stroke patients who were admitted to Kaifukuki rehabilitation wards in K Hospital between April 1, 2008 and July 16, 2013, after undergoing treatment at an acute hospital, were enrolled. The following patients were excluded: those with subarachnoid hemorrhage, those admitted within 7 days or more than 60 days after onset, those who spent less than 14 days or over 180 days in hospital, those who died in hospital, and those with motor FIM score on admission of 91 points or with motor FIM gain of less than 0 point. All the required items were available from all subjects, with no missing data. Table 1 shows the basic attributes of the 1,101 subjects. Other than a shorter period between onset and admission, the subjects were very similar to those recorded in the national survey of Kaifukuki rehabilitation wards [2]. This study complied with the regulations of the Clinical Research Ethics Committee of the authors hospital, and was performed with the permission of staff previously designated by the Clinical Research Ethics Committee. All personal information was converted to data, which was handled in such a way that individuals could not be identified. Study 1: Motor FIM gain and motor FIM effectiveness Motor FIM score on admission was divided into 13 groups in 6-point increments (13 18 points, 19 24 points,..., 85 90 points) (Figure 1), and the mean motor FIM gain and mean motor FIM effectiveness were calculated for each group. Study 2: Correction of motor FIM effectiveness Motor FIM effectiveness was stable at around 0.65 for patients with motor FIM scores on admission of 49 90 points, but was dependent on motor FIM score on admission for patients with scores of 13 48 points. We therefore corrected the denominator for calculating motor FIM effectiveness to 91 points for patients with motor FIM scores on admission of 13 48 points, so that motor FIM effectiveness was around 0.65. In practical terms, when motor FIM scores on admission are 43 48 points, mean motor FIM gain is 28.23 points (X) and mean value for 91 motor FIM on admission is 45.44 points (Y), calculation of motor FIM effectiveness yields 0.623. In the case of X/(Y 1), the result is 0.635; in the case of X/(Y 2), the result is 0.650, and in the case of X/(Y 3), the result is 0.665. In other words, reducing the denominator of the equation for calculating motor FIM effectiveness from 91 to 89 points would bring motor FIM effectiveness to around 0.65. For the 78 patients with motor FIM scores on admission of 43 48 points, the mean calculated motor FIM effectiveness [motor FIM gain/ (89 motor FIM on admission)] was 0.652. We also used the same method to calculate A for the groups with motor FIM scores on admission of 13 18 points, 19 24 points, 25 30 points, 31 36 points, and 37 42 points, so that the corrected motor FIM effectiveness, calculated as motor FIM gain/(a motor FIM on admission) became around 0.65. Table 1. Clinical characteristics of subjects in this study compared with national survey. This study National survey [2] Number of patients 1,101 14,011 Sex Male 670, female 431 56.8% males, 43.2% females Infarction, hemorrhage Infarction 706, hemorrhage 395 - Age 68.9±13.7 72.0 Duration of onset of stroke to admission 21.1±10.4 36.6 Length of hospital stay 81.4±39.9 89.4 Motor FIM score at admission 48.8±25.6 - Cognitive FIM score at admission 22.8± 9.4 - Total FIM score at admission 71.6±33.0 68.4 Motor FIM score at discharge 67.9±24.2 - Cognitive FIM score at discharge 26.5± 8.4 - Total FIM score at discharge 94.4±31.4 85.8 Motor FIM gain 19.1±15.26 - Cognitive FIM gain 3.7± 4.5 - Total FIM gain 22.8±17.9 17.4 FIM, Functional Independence Measure. Data for this study are expressed as mean±standard deviation, or number of patients.

Tokunaga M et al.: Corrected FIM effectiveness 9 Figure 1. The association between motor FIM score on admission and motor FIM gain (A), motor FIM effectiveness (b), and corrected motor FIM effectiveness (c). FIM, Functional Independence Measure. A is the parameter from the following equation: Motor FIM effectiveness = motor FIM gain / (A - motor FIM at admission). Results Figure 1a shows the association between motor FIM score on admission and motor FIM gain. Motor FIM gain was greatest for patients with motor FIM scores on admission of 25 30 points. These results show that motor FIM gain is an index that depends on motor FIM score on admission (Figure 1a). Figure 1b shows the association between motor FIM score on admission and motor FIM effectiveness. Motor FIM effectiveness was stable at around 0.65 for patients with motor FIM scores on admission of 49 90 points, but was lower than 0.65 for those with scores of 13 48 points. These results show that motor FIM effectiveness is also an index that depends on motor FIM score on admission (Figure 1b). For motor FIM scores on admission of 13 48 points, the values of A that yielded corrected motor FIM effectiveness [motor FIM gain/(a motor FIM on admission)] at around 0.65 were 42, 64, 79, 83, 87, and 89 points for motor FIM scores on admission of 13 18 points, 19 24 points, 25 30 points, 31 36 points, 37 42 points, and 43 48 points, respectively (Table 2). Corrected motor FIM effectiveness ranged from 0.636 (when motor FIM scores on admission were 85 90 points) to 0.677 (when motor FIM scores on admission were 49 54 points), and was an index independent of motor FIM score on admission (Figure 1c). The mean corrected motor FIM effectiveness at K Hospital was 0.655 ± 0.402. Discussion We found similar associations of motor FIM score on admission with motor FIM gain (Figure 1a) and with motor FIM effectiveness (Figure 1b) as previously reported [3, 4]. In this study, we found that (1) FIM effectiveness is an index that depends on motor FIM score on admission for scores of 13 48 points, and (2) adjusting the value of A in the equation to calculate motor FIM effectiveness [motor FIM gain/(a motor FIM on admission)] to 42, 64, 79, 83, 87, and 89 points (for

10 Tokunaga M et al.: Corrected FIM effectiveness Table 2. Corrected motor FIM effectiveness. Motor FIM score at admission 13~18 19~24 25~30 31~36 37~42 43~48 Number of patients 223 62 57 60 67 78 Motor FIM effectiveness 0.231 0.393 0.527 0.557 0.595 0.623 X: mean motor FIM gain 17.53 27.23 33.37 31.97 30.52 28.23 Y: mean (91-motor FIM at admission) 76.62 69.63 63.53 57.42 51.45 45.44 X/(Y-1) : A=90 0.635 X/(Y-2) : A=89 0.650 X/(Y-3) : A=88 0.630 0.665 X/(Y-4) : A=87 0.643 X/(Y-5) : A=86 0.610 0.657 X/(Y-6) : A=85 0.622 X/(Y-7) : A=84 0.634 X(Y-8) : A=83 0.647 X/(Y-9) : A=82 0.612 0.660 X(Y-10) : A=81 0.623 X/(Y-11) : A=80 0.635 X/(Y-12) : A=79 0.648 X(Y-13) : A=78 0.660 ~ X/(Y-27) : A=64 0.639 X(Y-28) : A=63 0.654 ~ X/(Y-49) : A=42 0.635 X/(Y-50) : A=41 0.658 Corrected motor FIM effectiveness 0.656 0.644 0.650 0.648 0.645 0.652 FIM, Functional Independence Measure. A is the parameter from the following equation: Motor FIM effectiveness = motor FIM gain /(A - motor FIM at admission). In patients whose motor FIM scores at admission are 13-18 points, A is not 41 point but 42 point for the corrected motor FIM effectiveness to be near 0.65. In patients whose motor FIM scores at admission are 19-24 points, A is not 63 point but 64 point for the corrected motor FIM effectiveness to be near 0.65. motor FIM scores on admission of 13 18 points, 19 24 points, 25 30 points, 31 36 points, 37 42 points, and 43 48 points, respectively) yielded an index (corrected motor FIM effectiveness) that is independent of motor FIM score on admission. FIM effectiveness is equivalent to rehabilitation effectiveness, Montebello Rehabilitation Factor Score, and relative functional gain [1]. This method was first proposed by Heinemann et al. [5]. FIM effectiveness is more frequently used than FIM gain, which is an index dependent on FIM score on admission, when investigating the effect of a particular factor on rehabilitation [1]. FIM effectiveness is an index that expresses the actual improvement as a proportion of potential improvement. Motor FIM effectiveness was stable at around 0.65 for patients with motor FIM scores on admission of 49 90 points, but decreased to around 0.23 for those with low motor FIM scores on admission (13 18 points). Although patients whose motor FIM scores on admission are 13 18 points can theoretically attain an FIM gain of 73 78 points (91 points minus 13 18 points), in practice few patients achieve such improvement, which lowers the value of motor FIM effectiveness. Thus, motor FIM effectiveness is also an index that depends on motor FIM score on admission. Outcome indices that are dependent on ADL on admission cannot be used to compare outcomes between hospitals or regions that have patients of varying degrees of severity. Even if the mean FIM score on admission for a particular hospital is known, FIM gain cannot be corrected in the absence of information on the proportions of patients with mild, moderate, and severe disability. Instead of FIM gain with the above-mentioned issues, other methods have been used in outcome studies, including (1) FIM effectiveness, (2) multiple regression analysis for severe patients (those with motor FIM scores on admission of 13 34 points) [3], (3) multiple regression

Tokunaga M et al.: Corrected FIM effectiveness 11 analysis with motor FIM score on admission restricted to narrow bands (eliminating differences between motor FIM score on admission within the same group) [4], (4) regarding the distribution of severity in all hospitals as a standard severity distribution and calculating adjusted motor FM gain based on the assumption that patients admitted to individual hospitals have the same distribution of severity as the standard severity distribution [4]. The above methods, with the addition of the corrected FIM effectiveness method used in the present study, are all useful in studying the outcomes of rehabilitation. The present study had some limitations. First, we divided patients into 13 groups according to motor FIM score on admission in 6-point increments. It would have been more accurate to calculate A if FIM was divided into 1-point increments. In this case, however, a far greater number of subjects than those used in the present study would be required in order to obtain results without any variation. A study utilizing nationwide data is therefore desirable. Second, our study covered only patients in a single hospital. Third, it remains unclear whether or not this index is diseasedependent. Investigations of patients with conditions other than stroke (such as orthopedic disorders and disuse syndrome) are therefore required. One topic for further study is inter-hospital comparisons of corrected FIM effectiveness. This study should start by investigating the values of A to obtain corrected FIM effectiveness based on national (or regional) data. Next, these values of A should be used to calculate corrected FIM effectiveness for all patients. It would then be possible to compare mean values between different hospitals (using the values of A derived from national data, rather than calculating them separately for each hospital). Corrected FIM effectiveness, which is an index of rehabilitation outcome independent of FIM score on admission, may provide a more accurate evaluation of the effect of various factors on rehabilitation outcomes than the conventionally used index of FIM effectiveness. Acknowledgment The authors wish to express their thanks to the staff of Kumamoto Kinoh Hospital who provided the patients data. References 1. Koh GCH, Chen CH, Petrellia R, Thind A. Rehabilitation impact indices and their independent predictors; a systematic review. BMJ Open. 2013 Sep 24; 3(9):e003483. 2. 2012 Annual Report from the Annual Survey Committee of Kaifukuki Rehabilitation Ward Association. February 2013. Japanese. 3. Imada Y, Tokunaga M, Fukunaga K, Sannomiya K, Inoue R, Hamasaki H, et al. Relationship between cognitive FIM score and motor FIM gain in patients with stroke in a Kaifukuki rehabilitation ward. Jpn J Compr Rehabil Sci (in press). 4. Tokunaga M. Four methods for compensating FIM gain. 35 th Kyusyu local meeting of the Japanese Association of Rehabilitation Medicine, Feb 2, 2014. 5. Heinemann AW, Roth EJ, Cichowski K, Betts HB. Multivariate analysis of improvement and outcome following stroke rehabilitation. Arch Neurol 1987; 44: 1167-72.