The interview builds on information already collected as part of

The interview builds on information already collected as part of the Minimum Data Set (MDS) 3.0–Section F (Preferences for Customary Routine and Activities)11, by adding follow-up questions that ask residents how satisfied they are with fulfillment of important preferences. The second component is a preprogrammed Excel workbook, where staff can enter information from interviews. This workbook produces color-coded

graphic displays showing when a resident’s preferences are being fully met (in green) and when preferences require follow-up (in yellow or red). Also, the Excel workbook can show preference gaps affecting many persons residing together in a household, floor, or unit. The output allows staff to see at a glance particular preferences that are not being met for several individuals living in a common location. Staff can Osimertinib solubility dmso use the results as the basis for discussion and problem solving during individual care planning conferences as well as to develop broader strategies for improvement. An additional feature of the Excel workbook is that it automatically calculates 4 PCC quality indicators. One measure shows the percentage of “preference congruence”—defined as the extent to which a resident is satisfied with the way important preferences are met—for an individual, household or NH as a whole during a given month. Three other measures show the percentage

of care conferences attended by residents, family or friends, and direct care workers in a 1-month period. The toolkit includes an implementation guide and Selleckchem LY294002 Janus kinase (JAK) background

papers for communities interested in enhancing PCC practices. The purpose of this article is to report on the development of the concept of preference congruence among NH residents (phase 1), its refinement into a set of quality indicators (phase 2), and its pilot evaluation in a sample of 12 early adopting NHs prior to national rollout (phase 3). In 2009, the Polisher Research Institute (PRI) team sought to develop a measure of preference congruence among NH residents. The project was based on the concept that having an accurate knowledge of resident preferences is a cornerstone of PCC. Once a person’s preferences are known, it is important for a provider to understand whether these preferences are being fulfilled. Satisfaction ratings are one of the most commonly used methods of assessing perceptions of the quality of care in health care and NH settings.12 and 13 Preference congruence is a measure that results from asking residents how satisfied they are in the fulfillment of preferences they have indicated are important to them. The research team tested the preference congruence measure in a convenience sample of residents in a suburban NH in Philadelphia, PA (n = 12) and in a Western New York Veterans Administration Community Living Center (n = 11).

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