scholarly journals Benchmarking clinical indicators of quality for Australian residential aged care facilities

2010 ◽  
Vol 34 (1) ◽  
pp. 93 ◽  
Author(s):  
Mary Courtney ◽  
Maria T. O'Reilly ◽  
Helen Edwards ◽  
Stacey Hassall
Keyword(s):  
Quality Of Care ◽  
Clinical Outcomes ◽  
Clinical Care ◽  
Aged Care ◽  
Minimum Data Set ◽  
Residential Aged Care ◽  
Data Set ◽  
Clinical Indicators ◽  
Minimum Data

To undertake exploratory benchmarking of a set of clinical indicators of quality care in residential care in Australia, data were collected from 107 residents within four medium-sized facilities (40–80 beds) in Brisbane, Australia. The proportion of residents in each sample facility with a particular clinical problem was compared with US Minimum Data Set quality indicator thresholds. Results demonstrated variability within and between clinical indicators, suggesting breadth of assessment using various clinical indicators of quality is an important factor when monitoring quality of care. More comprehensive and objective measures of quality of care would be of great assistance in determining and monitoring the effectiveness of residential aged care provision in Australia, particularly as demands for accountability by consumers and their families increase. What is known about the topic?The key to quality improvement is effective quality assessment, and one means of evaluating quality of care is through clinical outcomes. The Minimum Data Set quality indicators have been credited with improving quality in United States nursing homes. What does this paper add?The Clinical Care Indicators Tool was used to collect data on clinical outcomes, enabling comparison of data from a small Australian sample with American quality benchmarks to illustrate the utility of providing guidelines for interpretation. What are the implications for practitioners?Collecting and comparing clinical outcome data would enable practitioners to better understand the quality of care being provided and whether practices required review. The Clinical Care Indicator Tool could provide a comprehensive and systematic means of doing this, thus filling a gap in quality monitoring within Australian residential aged care.

scholarly journals Diagnosis of dementia in residential aged care settings in Australia: An opportunity for improvements in quality of care?

2018 ◽  
Vol 37 (4) ◽  
pp. E155-E158 ◽  
Author(s):  
Suzanne M Dyer ◽  
Emmanuel S Gnanamanickam ◽  
Enwu Liu ◽  
Craig Whitehead ◽  
Maria Crotty
Keyword(s):  
Quality Of Care ◽  
Aged Care ◽  
Residential Aged Care ◽  
Diagnosis Of Dementia

scholarly journals Evaluasi Kualitas Tanah Sawah Intensif dan Sawah yang Dikonversikan untuk Kebun di Subak Kesiut Kerambitan Tabanan

2020 ◽  
Vol 10 (1) ◽  
pp. 1
Author(s):  
I DEWA MADE ARTHAGAMA ◽  
I MADE DANA
Keyword(s):  
Soil Quality ◽  
Paddy Soil ◽  
Field Survey ◽  
Research Area ◽  
Paddy Soils ◽  
Minimum Data Set ◽  
Data Set ◽  
Minimum Data ◽  
Better Than

 Evaluation Quality of Intensif Paddy Soils and Conversion Paddy Soils to Garden at Subak Kesiut Kerambitan Tabanan. This experiment conducted to evaluate intensif Paddy Soils and conversion paddy soils to garden at SubakKesiut Kerambitan Tabanan. There were two steps applied in this study including field survey to determine the research area and points soils sampling; analysis soils properties are: physic, chemistry and soils biology for get minimum data set to determine the soil quality at Laboratory of Soils and Enveronment Faculty of Agriculture Unud. The results of this study showed: the soil quality of intensif paddy soils is better than conversion paddy soils to garden, that showed with SQR at intensif paddy soil is 18 and at conversions paddy soil is 25. The limiting faktor at conversion paddy soils to garden is P available, there are less than at intensif paddy soils.

scholarly journals Quality of Care for Patients with Acute Myocardial Infarction (AMI) in Pakistan: A Retrospective Study

2019 ◽  
Vol 16 (20) ◽  
pp. 3890
Author(s):  
Shazia Rehman ◽  
Xi Li ◽  
Chao Wang ◽  
Muhammad Ikram ◽  
Erum Rehman ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Quality Of Care ◽  
Hospital Mortality ◽  
Clinical Outcomes ◽  
Care Delivery ◽  
Clinical Care ◽  
Hospital Length Of Stay ◽  
Hospital Outcomes

A wide variation exists in the practice patterns of acute myocardial infarction (AMI) care worldwide, leading to differences in clinical outcomes. This study aims to evaluate the quality of process care and its impact on in-hospital outcomes among AMI patients in Pakistan, as no such study has been conducted in Pakistan thus far based upon recommended guidelines. We investigated a sample of 2663 AMI patients across 11 territory hospitals in Punjab province of Lahore, Faisalabad, Multan, Rawalpindi, and Islamabad from January 1, 2016 to December 31, 2017, with an in-hospital mortality rate of 8.6%. We calculated compliance rates of quality indicators (QIs) for all eligible patients. The association between process care and in-hospital outcome was assessed using hierarchical generalized linear model that adjusted for patient and hospital characteristics. In addition, we examined the effect of patient composite scores on clinical outcomes. Aspirin (73.08%) and clopidogrel (67.86%) indicated relatively better conformance than other QIs. The percutaneous coronary intervention also showed significantly low adherence. All QIs showed no significant association with in-hospital mortality. In contrast, 4 out of 8 QIs were observed positively correlated with in-hospital length of stay (LOS). The overall patient composite score was found to be statistically significant with in-hospital LOS. The assessment of quality of care showed low adherence to clinical care recommendations, and increased adherence was associated with longer in-hospital LOS among AMI patients. Evaluation of valid QIs for AMI treatment and their impact on in-hospital outcomes is an important tool for improving health care delivery in the overall AMI population in Pakistan. Low adherence to performance measures strongly compel to focus on guideline-based tools for AMI in Pakistan.

scholarly journals The Quality of the Quality Indicator of Pain Derived from the Minimum Data Set

2005 ◽  
Vol 40 (4) ◽  
pp. 1197-1216 ◽  
Author(s):  
Ning Wu ◽  
Susan C. Miller ◽  
Kate Lapane ◽  
Jason Roy ◽  
Vincent Mor
Keyword(s):  
Quality Indicator ◽  
Minimum Data Set ◽  
Data Set ◽  
Minimum Data
Sign in / Sign up

Export Citation Format

Share Document