Literature DB >> 29416941

Development and Maintenance of Standardized Cross Setting Patient Assessment Data for Post-Acute Care: Summary Report of Findings from Alpha 1 Pilot Testing.

Edelen Maria Orlando, Gage Barbara J, Rose Adam J, Ahluwalia Sangeeta, DeSantis Amy Soo Jin, Dunbar Michael Stephen, Fischer Shira H, Huang Wenjing, Klein David J, Martino Steven, Pillemer Francesca, Piquado Tepring, Shier Victoria, Shih Regina A, Sherbourne Cathy D, Stucky Brian D.   

Abstract

The Centers for Medicare & Medicaid Services (CMS) contracted with the RAND Corporation to identify and/or develop standardized items to include in the post-acute care patient assessment instruments. RAND was tasked by CMS with developing and testing items to measure seven areas of health status for Medicare beneficiaries: (1) vision and hearing; (2) cognitive status; (3) depressed mood; (4) pain; (5) care preferences; (6) medication reconciliation; and (7) bladder and bowel continence. This article presents results of the first Alpha 1 feasibility test of a proposed set of items for measuring each of these health status areas. Conducted between August and October 2016, the test is one of two Alpha tests that will be completed by mid-2017 to assess the feasibility of proposed items. The results of these small-scale feasibility tests will inform a national Beta test designed to determine how well the measures perform when implemented in post-acute care settings. The Alpha 1 testing phase was successfully completed, in that all items were pilot tested among 133 patients. Items from all content areas were assessed on interrater reliability and feasibility; items from some content areas were assessed on other metrics. Items have now been revised, when necessary, based on the findings of the Alpha 1 test. Alpha 2 testing is under way with the updated, revised items.

Entities:  

Keywords:  Functional Status; Health Care Facilities; Health Care Program Evaluation; Health Care Quality; Medicare; Nurses and Nursing; Patient Experience

Year:  2018        PMID: 29416941      PMCID: PMC5798963     

Source DB:  PubMed          Journal:  Rand Health Q        ISSN: 2162-8254


  1 in total

1.  A Machine Learning Recommender System to Tailor Preference Assessments to Enhance Person-Centered Care Among Nursing Home Residents.

Authors:  Gerald C Gannod; Katherine M Abbott; Kimberly Van Haitsma; Nathan Martindale; Alexandra Heppner
Journal:  Gerontologist       Date:  2019-01-09
  1 in total

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