Stress, Social Engagement and Psychological Well-Being in Institutional Settings: Evidence Based on the Minimum Data Set 2.0

Author(s):  
Erin E. Gilbart ◽  
John P. Hirdes

RÉSUMÉAlors qu'il existe une importante documentation sur la relation entre le stress, le soutien social et le bien-etrê chez les aîné(e)s vivant dans la communauté, peu d'études ont examiné la population des institutions. Cette étude a utilisé les données d'enquêtes pilotes du MDS 2.0 de trois hôpitaux ainsi que d'autres enquêtes reliées au bien-être psychologique. On a constaté que les patients les plus engagés socialement avaient tendance à afficher des niveaux plus élevés de bien-être et cette tendance était encore plus frappante chez ceux qui jouissaient d'un meilleur état de santé. La douleur était un prédicteur important de la réduction du bien-être. Étant donné que le MDS 2.0 fournit une approche complète à l'identification des problèmes sociaux, psychologiques et physiques et à leur réponse chez les aîné(e)s vivant en institution, il peut entraîner des effets importants sur le bien-être si on l'utilise à l'appui de la prise de décision et des interventions cliniques.

2019 ◽  
Vol 8 (1) ◽  
pp. 7
Author(s):  
Rinshu Dwivedi ◽  
Sanghamitra Pati ◽  
Ramesh Athe ◽  
PramodKumar Dey ◽  
Subhashisa Swain

1997 ◽  
Vol 10 (1) ◽  
pp. 27-34 ◽  
Author(s):  
John P. Hirdes

Ontario has mandated the use of the Minimum Data Set 2.0 (MDS) to classify patients in all chronic care hospital beds as of July 1996. The MDS, widely used in several other jurisdictions, has been shown to have several advantages over other assessment systems. However, Ontario currently classifies residents of homes for the aged and nursing homes under the Alberta Resident Classification System (ARCS). Since there is not a single system to assess the elderly in institutional settings, it is not possible to create a funding system for all institutions based on patient rather than facility characteristics. The author reports on the development of a crosswalk algorithm to compute ARCS levels of care based on clinical items from the MDS. This algorithm may be used to support a transitional approach to move to a funding system for long-term care based on Resource Utilization Groups (RUG-III).


2001 ◽  
Vol 7 (3) ◽  
pp. 189-200 ◽  
Author(s):  
Robert J Buchanan ◽  
Suojin Wang ◽  
Chunfeng Huang ◽  
David Graber

This paper profiles nursing home residents with multiple sclerosis (MS) at the time of admission, including sociodemographic characteristics, health status measures, and treatments received. Admission assessments from the Minimum Data Set are used to create these profiles of residents with MS. There are 9013 admission assessments in the MDS for residents with MS between June 22, 1998 and January 17, 2000 analyzed for this study. Residents with MS are distinctly younger at admission than most nursing home residents, averaging 57.98 years of age. Recently admitted residents with MS are more physically dependent than other nursing home residents and tend to have limited range of motion and loss of voluntary movement. About one in three newly admitted residents with MS had some degree of impaired cognitive function. Over one third of residents with MS were depressed at admission, yet only 11.7% of recently admitted residents with MS were evaluated by a licensed mental health specialist. This prompts concern about the psychosocial well-being of MS residents in nursing homes.


2013 ◽  
Vol 99 (4) ◽  
pp. 40-45 ◽  
Author(s):  
Aaron Young ◽  
Philip Davignon ◽  
Margaret B. Hansen ◽  
Mark A. Eggen

ABSTRACT Recent media coverage has focused on the supply of physicians in the United States, especially with the impact of a growing physician shortage and the Affordable Care Act. State medical boards and other entities maintain data on physician licensure and discipline, as well as some biographical data describing their physician populations. However, there are gaps of workforce information in these sources. The Federation of State Medical Boards' (FSMB) Census of Licensed Physicians and the AMA Masterfile, for example, offer valuable information, but they provide a limited picture of the physician workforce. Furthermore, they are unable to shed light on some of the nuances in physician availability, such as how much time physicians spend providing direct patient care. In response to these gaps, policymakers and regulators have in recent years discussed the creation of a physician minimum data set (MDS), which would be gathered periodically and would provide key physician workforce information. While proponents of an MDS believe it would provide benefits to a variety of stakeholders, an effort has not been attempted to determine whether state medical boards think it is important to collect physician workforce data and if they currently collect workforce information from licensed physicians. To learn more, the FSMB sent surveys to the executive directors at state medical boards to determine their perceptions of collecting workforce data and current practices regarding their collection of such data. The purpose of this article is to convey results from this effort. Survey findings indicate that the vast majority of boards view physician workforce information as valuable in the determination of health care needs within their state, and that various boards are already collecting some data elements. Analysis of the data confirms the potential benefits of a physician minimum data set (MDS) and why state medical boards are in a unique position to collect MDS information from physicians.


2018 ◽  
Vol 27 (4) ◽  
pp. 191-198
Author(s):  
Karen Van den Bussche ◽  
Sofie Verhaeghe ◽  
Ann Van Hecke ◽  
Dimitri Beeckman

Author(s):  
Cassandra L. Hua ◽  
Kali S. Thomas ◽  
Jennifer Bunker ◽  
Pedro L. Gozalo ◽  
Joan M. Teno

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