Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
Rationale: Decision-making in musculoskeletal health care is complex, with discrepancy among clinical providers and variation in the per cent of referrals for specialist care. To date, there is an increased focus on specialist referrals, risking overuse of expensive testing and contributing to unnecessary treatment.
Aims And Objectives: This report will considerer the difficulties of primary care musculoskeletal decision-making using shoulder injuries as an example, presenting a solution based on multi-criteria decision-making analysis with online software. The associated issues involved in clinical decision-making are complex. Contributing to the components of complexity are; the multifaceted aetiology of shoulders, the experience and knowledge of providers, and the burden of patient demands. Notwithstanding, funding considerations, resource allocation availability and other associated issues around clinical decision-making. Considering the many facets and complexities of clinical decision-making, this is an area where multi-criteria decision-making analysis (MCDM) may be appropriate. The MCDM analysis approach is increasingly being used in health care and can assist in the organizing and weighting of identified key clinical factors. MCDM could be applied to the challenges of musculoskeletal care with the potential to decrease decision-making variability. Furthermore, the significance of each key clinical factor that musculoskeletal decision-making is based on are to date unclear.
Conclusion: Therefore, this preliminary report offers a start towards clarifying key factors and an approach for implementing improved shoulder clinical care decision-making which could then be adapted and applied to other body sites.
Download full-text PDF |
Source |
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http://dx.doi.org/10.1111/jep.13473 | DOI Listing |
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