2016
DOI: 10.5694/mja16.00819
|View full text |Cite
|
Sign up to set email alerts
|

Clinical variation: why it matters

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
24
0

Year Published

2017
2017
2023
2023

Publication Types

Select...
9

Relationship

0
9

Authors

Journals

citations
Cited by 21 publications
(24 citation statements)
references
References 9 publications
0
24
0
Order By: Relevance
“…Despite this, considerable variation in the approach to management, including empiric antibiotic choice and duration, risk stratification and treatment location, is described . Although some differences in practice are due to geography and local microbiology, unwarranted variation can lead to incorrect prescribing, poor patient outcomes and increased health‐care expenditures …”
mentioning
confidence: 99%
“…Despite this, considerable variation in the approach to management, including empiric antibiotic choice and duration, risk stratification and treatment location, is described . Although some differences in practice are due to geography and local microbiology, unwarranted variation can lead to incorrect prescribing, poor patient outcomes and increased health‐care expenditures …”
mentioning
confidence: 99%
“…The “ Better cardiac care for Aboriginal and Torres Strait Islander people ” strategy has increased attention on capturing CVRA data on a broad scale, initiating its introduction to the nKPI dataset ( 26 ) (although the age criteria begins at 35 years, some 10 years older than clients documented with elevated risk in the NT). A routine data source allows the assessment of “unwarranted” variation in the delivery of key service items, a necessary first step to examine potential health system factors that when leveraged, may enhance consistent, appropriate care on a broad-scale ( 27 , 28 ). We demonstrate the value of CQI processes in systematically capturing, reporting and reviewing data on the variation in CVRA and follow-up.…”
Section: Discussionmentioning
confidence: 99%
“…As a result, this makes the reliability of applying extracted data questionable in a clinical audit. Buchan et al (2016) noted the implications of incomplete data or inconsistency in coding were that it can create unnecessary variations in care, with Duggan et al (2016) suggesting that this can lead to real patient harm due to patients not receiving the right care. The Australian Commission on Safety and Quality in Health Care (2012) reported that the data used to measure the occurrence of problems in health care is unavailable or unreliable, and patient safety is probably more difficult to assess due to the lack of systematic approaches to identify issues (Phillips et al 2010b).…”
Section: Review Of Literature On Similar Casesmentioning
confidence: 99%