| Literature DB >> 35434954 |
Payal Mukherjee1,2, Mohamed Khadra2,3, Neil Merrett4, Ellen Rawstron5, Arthur Richardson2,6, Kim Sutherland5, Jean-Frederic Levesque5,7.
Abstract
Entities:
Year: 2022 PMID: 35434954 PMCID: PMC9324063 DOI: 10.1111/ans.17501
Source DB: PubMed Journal: ANZ J Surg ISSN: 1445-1433 Impact factor: 2.025
Potential ways to identify areas of low‐value care in the health system and mechanism to address them
| Assess value area | Explanation | Current paradigm | Mechanism for change |
|---|---|---|---|
| Patient needs | Does the patient need surgery | Clinical guidelines set by workforce |
(1) Compliance with clinical guidelines (2) Reduce clinical variance (3) Shared decision‐making (4) Quality of life based planning of surgery |
| Proficiency |
Technical competence and reduction of errors |
(1) Training in new technologies often driven by industry (2) Credentialling is not systemically ensured for new interventions, especially of new techniques if technology is of low cost |
(1) Better governance of credentialling and prospective monitoring of outcomes (in public and private sectors) (2) Obtain MDT input into new procedures or high‐risk care (3) Improve MDT compliance where value is already proven (cancer care) |
| Process |
Improve system efficiency Availability of the entire pre‐ and post‐operative care pathway in a streamlined manner | Hospital and administration driven |
(1) Better clinical input and collaboration with administrators and policy makers to improve system efficiency (2) Reduce process‐based variation across institutions (3) Implement appropriate value‐driven care models for high‐ and low‐volume surgery |
| Procedure | Is the patient getting the most appropriate technique | Once the new technology is introduced, its scale and adoption in other areas of surgery (where evidence maybe limited) is not rigorously monitored. The assessment of value (not just evidence) is not common |
(1) Specialty‐specific databases and audits of surgical outcomes (2) Early introduction of prospective databases to measure health economics of new technology (3) Measurement of patient‐reported outcomes and experiences |
| Procurement | Cost of consumables | High variability within and between different institutions in both public and private sectors |
(1) Educate workforce of implications of their choice on cost and climate (2) Attain more transparent costs from industry reducing procurement variability between different institutions |
MDT, multidisciplinary.