Literature DB >> 26268287

Identifying and acting on potentially inappropriate care.

Stephen J Duckett1, Peter Breadon, Danielle Romanes.   

Abstract

OBJECTIVE: To develop a model to measure potentially inappropriate care in Australian hospitals.
DESIGN: Secondary analysis of computerised hospital discharge data for all Australian hospitals for the 2010-11 financial year. MAIN OUTCOME MEASURE: Hospital-specific incidence of selected diagnosis-procedure pairs identified as inappropriate in other literature.
RESULTS: Five hospital procedures that are not supported by clinical evidence happened more than 100 times a week, on average. The most frequent of these do-not-do treatments was hyperbaric oxygen therapy for a range of specific conditions (4659 admissions in 2010-11). The rate of do-not-do procedures varied greatly, even among comparator hospitals that provided the procedure and that treated the relevant patient group. Among comparator hospitals, an average of 3.3% of patients with osteoarthritis of the knee received arthroscopic lavage and debridement of the knee (a do-not-do treatment), but four hospitals had rates of over 20%. There was also great variation in hospital-specific rates of procedures that should not be done routinely.
CONCLUSION: Hospital-specific rates of do-not-do treatments vary greatly. Hospitals should be informed about their relative performance. Hospitals that have sustained, high rates of do-not-do treatments should be subject to external clinical review by expert peers.

Entities:  

Mesh:

Year:  2015        PMID: 26268287     DOI: 10.5694/mja15.00025

Source DB:  PubMed          Journal:  Med J Aust        ISSN: 0025-729X            Impact factor:   7.738


  9 in total

1.  Measuring Hospital-Acquired Complications Associated With Low-Value Care.

Authors:  Tim Badgery-Parker; Sallie-Anne Pearson; Susan Dunn; Adam G Elshaug
Journal:  JAMA Intern Med       Date:  2019-04-01       Impact factor: 21.873

2.  Identifying and acting on potentially inappropriate care? Inadequacy of current hospital coding for this task.

Authors:  P David Cooper; David R Smart
Journal:  Diving Hyperb Med       Date:  2017-06       Impact factor: 0.887

3.  Identifying and acting on inappropriate metadata: a critique of the Grattan Institute Report on questionable care in Australian hospitals.

Authors:  P David Cooper; David R Smart
Journal:  Diving Hyperb Med       Date:  2017-03       Impact factor: 0.887

4.  It Takes Two to Tango: Customization and Standardization as Colluding Logics in Healthcare Comment on "(Re) Making the Procrustean Bed Standardization and Customization as Competing Logics in Healthcare".

Authors:  David Greenfield; Kathy Eljiz; Kerryn Butler-Henderson
Journal:  Int J Health Policy Manag       Date:  2018-02-01

5.  Developing indicators for measuring low-value care: mapping Choosing Wisely recommendations to hospital data.

Authors:  Kelsey Chalmers; Tim Badgery-Parker; Sallie-Anne Pearson; Jonathan Brett; Ian A Scott; Adam G Elshaug
Journal:  BMC Res Notes       Date:  2018-03-05

6.  How Do Clinicians Learn About Knowledge Translation? An Investigation of Current Web-Based Learning Opportunities.

Authors:  Raechel A Damarell; Jennifer J Tieman
Journal:  JMIR Med Educ       Date:  2017-07-13

7.  Rates of Low-Value Service in Australian Public Hospitals and the Association With Patient Insurance Status.

Authors:  Juliana de Oliveira Costa; Sallie-Anne Pearson; Adam G Elshaug; Kees van Gool; Louisa R Jorm; Michael O Falster
Journal:  JAMA Netw Open       Date:  2021-12-01

8.  A controlled before-after study to evaluate the effect of a clinician led policy to reduce knee arthroscopy in NSW.

Authors:  H Y Chen; I A Harris; K Sutherland; J-F Levesque
Journal:  BMC Musculoskelet Disord       Date:  2018-05-16       Impact factor: 2.362

9.  Low-value care in Australian public hospitals: prevalence and trends over time.

Authors:  Tim Badgery-Parker; Sallie-Anne Pearson; Kelsey Chalmers; Jonathan Brett; Ian A Scott; Susan Dunn; Neville Onley; Adam G Elshaug
Journal:  BMJ Qual Saf       Date:  2018-08-06       Impact factor: 7.035

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.