@article {357,
	title = {Measuring physical function in patients with complex medical and postsurgical conditions: a computer adaptive approach},
	journal = {American Journal of Physical Medicine and Rehabilitation},
	volume = {84},
	number = {10},
	year = {2005},
	note = {0894-9115 (Print)Comparative StudyJournal ArticleResearch Support, N.I.H., ExtramuralResearch Support, U.S. Gov{\textquoteright}t, P.H.S.},
	month = {Oct},
	pages = {741-8},
	abstract = {OBJECTIVE: To examine whether the range of disability in the medically complex and postsurgical populations receiving rehabilitation is adequately sampled by the new Activity Measure--Post-Acute Care (AM-PAC), and to assess whether computer adaptive testing (CAT) can derive valid patient scores using fewer questions. DESIGN: Observational study of 158 subjects (mean age 67.2 yrs) receiving skilled rehabilitation services in inpatient (acute rehabilitation hospitals, skilled nursing facility units) and community (home health services, outpatient departments) settings for recent-onset or worsening disability from medical (excluding neurological) and surgical (excluding orthopedic) conditions. Measures were interviewer-administered activity questions (all patients) and physical functioning portion of the SF-36 (outpatients) and standardized chart items (11 Functional Independence Measure (FIM), 19 Standardized Outcome and Assessment Information Set (OASIS) items, and 22 Minimum Data Set (MDS) items). Rasch modeling analyzed all data and the relationship between person ability estimates and average item difficulty. CAT assessed the ability to derive accurate patient scores using a sample of questions. RESULTS: The 163-item activity item pool covered the range of physical movement and personal and instrumental activities. CAT analysis showed comparable scores between estimates using 10 items or the total item pool. CONCLUSION: The AM-PAC can assess a broad range of function in patients with complex medical illness. CAT achieves valid patient scores using fewer questions.},
	keywords = {Activities of Daily Living/*classification, Adult, Aged, Cohort Studies, Continuity of Patient Care, Disability Evaluation, Female, Health Services Research, Humans, Male, Middle Aged, Postoperative Care/*rehabilitation, Prognosis, Recovery of Function, Rehabilitation Centers, Rehabilitation/*standards, Sensitivity and Specificity, Sickness Impact Profile, Treatment Outcome},
	author = {Siebens, H. and Andres, P. L. and Pengsheng, N. and Coster, W. J. and Haley, S. M.}
}
@booklet {201,
	title = {The AMC Linear Disability Score project in a population requiring residential care: psychometric properties},
	journal = {Health and Quality of Life Outcomes},
	volume = {2},
	year = {2004},
	note = {Holman, RebeccaLindeboom, RobertVermeulen, Marinusde Haan, Rob JResearch Support, Non-U.S. Gov{\textquoteright}tValidation StudiesEnglandHealth and quality of life outcomesHealth Qual Life Outcomes. 2004 Aug 3;2:42.},
	month = {Aug 3},
	pages = {42},
	edition = {2004/08/05},
	abstract = {BACKGROUND: Currently there is a lot of interest in the flexible framework offered by item banks for measuring patient relevant outcomes, including functional status. However, there are few item banks, which have been developed to quantify functional status, as expressed by the ability to perform activities of daily life. METHOD: This paper examines the psychometric properties of the AMC Linear Disability Score (ALDS) project item bank using an item response theory model and full information factor analysis. Data were collected from 555 respondents on a total of 160 items. RESULTS: Following the analysis, 79 items remained in the item bank. The remaining 81 items were excluded because of: difficulties in presentation (1 item); low levels of variation in response pattern (28 items); significant differences in measurement characteristics for males and females or for respondents under or over 85 years old (26 items); or lack of model fit to the data at item level (26 items). CONCLUSIONS: It is conceivable that the item bank will have different measurement characteristics for other patient or demographic populations. However, these results indicate that the ALDS item bank has sound psychometric properties for respondents in residential care settings and could form a stable base for measuring functional status in a range of situations, including the implementation of computerised adaptive testing of functional status.},
	keywords = {*Disability Evaluation, *Health Status Indicators, Activities of Daily Living/*classification, Adult, Aged, Aged, 80 and over, Data Collection/methods, Female, Humans, Logistic Models, Male, Middle Aged, Netherlands, Pilot Projects, Probability, Psychometrics/*instrumentation, Questionnaires/standards, Residential Facilities/*utilization, Severity of Illness Index},
	isbn = {1477-7525 (Electronic)1477-7525 (Linking)},
	author = {Holman, R. and Lindeboom, R. and Vermeulen, M. and de Haan, R. J.}
}
@booklet {200,
	title = {Practical methods for dealing with {\textquoteright}not applicable{\textquoteright} item responses in the AMC Linear Disability Score project},
	journal = {Health and Quality of Life Outcomes},
	volume = {2},
	year = {2004},
	note = {Holman, RebeccaGlas, Cees A WLindeboom, RobertZwinderman, Aeilko Hde Haan, Rob JEnglandHealth Qual Life Outcomes. 2004 Jun 16;2:29.},
	month = {Jun 16},
	pages = {29},
	type = {Comparative StudyResearch Support, Non-U.S. Gov{\textquoteright}t},
	edition = {2004/06/18},
	abstract = {BACKGROUND: Whenever questionnaires are used to collect data on constructs, such as functional status or health related quality of life, it is unlikely that all respondents will respond to all items. This paper examines ways of dealing with responses in a {\textquoteright}not applicable{\textquoteright} category to items included in the AMC Linear Disability Score (ALDS) project item bank. METHODS: The data examined in this paper come from the responses of 392 respondents to 32 items and form part of the calibration sample for the ALDS item bank. The data are analysed using the one-parameter logistic item response theory model. The four practical strategies for dealing with this type of response are: cold deck imputation; hot deck imputation; treating the missing responses as if these items had never been offered to those individual patients; and using a model which takes account of the {\textquoteright}tendency to respond to items{\textquoteright}. RESULTS: The item and respondent population parameter estimates were very similar for the strategies involving hot deck imputation; treating the missing responses as if these items had never been offered to those individual patients; and using a model which takes account of the {\textquoteright}tendency to respond to items{\textquoteright}. The estimates obtained using the cold deck imputation method were substantially different. CONCLUSIONS: The cold deck imputation method was not considered suitable for use in the ALDS item bank. The other three methods described can be usefully implemented in the ALDS item bank, depending on the purpose of the data analysis to be carried out. These three methods may be useful for other data sets examining similar constructs, when item response theory based methods are used.},
	keywords = {*Disability Evaluation, *Health Surveys, *Logistic Models, *Questionnaires, Activities of Daily Living/*classification, Data Interpretation, Statistical, Health Status, Humans, Pilot Projects, Probability, Quality of Life, Severity of Illness Index},
	isbn = {1477-7525 (Electronic)1477-7525 (Linking)},
	author = {Holman, R. and Glas, C. A. and Lindeboom, R. and Zwinderman, A. H. and de Haan, R. J.}
}
