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Kristian P Nitsch

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Recent Articles
1.
Heinemann A, Nitsch K, Gracz K, Ehrlich-Jones L, Engel E, Wilson M, et al.
Arch Phys Med Rehabil . 2021 Jun; 103(5S):S67-S77. PMID: 34144004
A project with the goal of implementing electronic health record (EHR)-based patient-reported outcome measures (PROMs) into a large inpatient spinal cord injury (SCI) rehabilitation program took twice as long as...
2.
Wong A, Garcia S, Hahn E, Semik P, Lai J, Magasi S, et al.
Arch Phys Med Rehabil . 2020 Nov; 102(4):675-686. PMID: 33223007
Objectives: To develop item banks of social attitude barriers and facilitators to participation and validate them with established instruments. Design: We used the Rasch model to identify misfitting items and...
3.
Nitsch K, Stipp K, Gracz K, Ehrlich-Jones L, Graham I, Heinemann A
J Spinal Cord Med . 2020 Jan; 44(6):940-948. PMID: 31971479
This study describes a development strategy for integrating the Spinal Cord Injury - Quality of Life (SCI-QOL) item banks into inpatient spinal cord injury (SCI) rehabilitation and recommendations for protocol...
4.
Heinemann A, Nitsch K, Ehrlich-Jones L, Malamut L, Semik P, Srdanovic N, et al.
J Contin Educ Health Prof . 2019 Apr; 39(2):103-111. PMID: 31021968
Introduction: Patient-reported outcome measures (PROMs) are administered rarely during rehabilitation hospitalizations because clinicians are unfamiliar with their use and the technology to integrate PROMs into electronic medical records is nascent....
5.
Nitsch K, Casaletto K, Carlozzi N, Tulsky D, Heinemann A, Heaton R
Rehabil Psychol . 2017 Dec; 62(4):485-495. PMID: 29265869
Objective: The association between demographic characteristics and neurocognitive performance is well established; however, clinicians may have difficulty selecting when to use uncorrected versus demographically corrected scores. We compared these score...
6.
Heinemann A, Raad J, Akuthota V, Segal N, Nitsch K, Rho M, et al.
Spine J . 2017 Apr; 17(7):1045-1057. PMID: 28434926
Background Context: Common data elements (CDE) represent an important tool for understanding and classifying health outcomes across settings. Although CDEs have been developed for a number of disorders, to date...
7.
Nitsch K, Pedersen J, Miliotto A, Petersen B, Robbins S, Garcia A, et al.
Am J Occup Ther . 2017 Feb; 71(2):7102405010p1-7102405010p4. PMID: 28218601
This case report provides an overview of the psychometric properties and clinical utility of the My Vocational Situation (MVS) instrument. The accompanying hypothetical case description illustrates how clinicians could use...
8.
Kozlowski A, Cella D, Nitsch K, Heinemann A
Arch Phys Med Rehabil . 2016 Jan; 97(4):650-654.e8. PMID: 26740062
Objective: To provide a clinically useful means of interpreting change for individual patients on the Quality of Life in Neurological Disorders (Neuro-QoL) adult short forms (SFs) by applying a classical...
9.
Ehde D, Nitsch K, Smiley J
Rehabil Psychol . 2015 Dec; 60(4):365-6. PMID: 26618216
This Rehabilitation Measures Database summary provides a review of the psychometric properties of the BPI in individuals with MS. A full review of the BPI as well as reviews of...
10.
Nardi D, Nitsch K, Bingman V
J Exp Psychol Anim Behav Process . 2010 Aug; 36(4):430-42. PMID: 20718551
A basic tenet of principles of associative learning applicable to models of spatial learning is that a cue should be assigned greater weight if it is a better predictor of...