2016
DOI: 10.14236/jhi.v23i3.843
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Implementation of data management and effect on chronic disease coding in a primary care organisation: A parallel cohort observational study

Abstract: Data management activities were associated with an increase in standardized coding for chronic conditions. Exploring requirements to scale and spread this approach in Canadian primary care organisations may be worthwhile.

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Cited by 8 publications
(8 citation statements)
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“…For this reason, we only used data beginning in March 2006. We found no evidence that speaks directly to changes in coding behavior over time; however, we did identify studies that spoke of the need to intervene in order to improve coding [19, 20]. This may suggest that, in the absence of interventions, it is unlikely coding behavior would have changed substantially over time.…”
Section: Discussionmentioning
confidence: 80%
“…For this reason, we only used data beginning in March 2006. We found no evidence that speaks directly to changes in coding behavior over time; however, we did identify studies that spoke of the need to intervene in order to improve coding [19, 20]. This may suggest that, in the absence of interventions, it is unlikely coding behavior would have changed substantially over time.…”
Section: Discussionmentioning
confidence: 80%
“…Following the development and piloting of the STROBE-M score checklist, we conducted a more formal evaluation of its inter-rater agreement. One reviewer (VL) selected 45 observational study publications (15 each from cross-sectional (23)(24)(25)(26)(27)(28)(29)(30)(31)(32)(33)(34)(35)(36)(37), cohort (38)(39)(40)(41)(42)(43)(44)(45)(46)(47)(48)(49)(50)(51)(52), and case-control study (53-67) from ìPubMed databaseî published in the time period of 1 st March 2016 to 31 st May 2016 with the filters of English language, human studies, and full text availability. Irrelevant publications (opinion or critique of previous studies, letters to editors, meta-analysis were excluded (Fig.…”
Section: Inter-rater Agreement Of Strobe-m Score Checklistmentioning
confidence: 99%
“…Greiver et al demonstrate how adding standardised codes back into the computerised medical record improves data quality for chronic diseases 6. This initially seemed to me to be a scary idea with risks of miscoding or misclassification – which can be commonplace, even in a condition like diabetes 7.…”
Section: Data Qualitymentioning
confidence: 99%