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Clinically relevant quality measures for risk factor control in primary care: a retrospective cohort study

dc.contributor.authorWeiler, Stefan
dc.contributor.authorGemperli, Armin
dc.contributor.authorCollet, Tinh-Hai
dc.contributor.authorBauer, Douglas C
dc.contributor.authorZimmerli, Lukas
dc.contributor.authorCornuz, Jacques
dc.contributor.authorBattegay, Edouard
dc.contributor.authorGaspoz, Jean-Michel
dc.contributor.authorKerr, Eve A
dc.contributor.authorAujesky, Drahomir
dc.contributor.authorRodondi, Nicolas
dc.date.accessioned2014-12-08T17:45:02Z
dc.date.available2014-12-08T17:45:02Z
dc.date.issued2014-07-15
dc.identifier.citationBMC Health Services Research. 2014 Jul 15;14(1):306
dc.identifier.urihttps://hdl.handle.net/2027.42/109469en_US
dc.description.abstractAbstract Background Assessment of the proportion of patients with well controlled cardiovascular risk factors underestimates the proportion of patients receiving high quality of care. Evaluating whether physicians respond appropriately to poor risk factor control gives a different picture of quality of care. We assessed physician response to control cardiovascular risk factors, as well as markers of potential overtreatment in Switzerland, a country with universal healthcare coverage but without systematic quality monitoring, annual report cards on quality of care or financial incentives to improve quality. Methods We performed a retrospective cohort study of 1002 randomly selected patients aged 50–80 years from four university primary care settings in Switzerland. For hypertension, dyslipidemia and diabetes mellitus, we first measured proportions in control, then assessed therapy modifications among those in poor control. “Appropriate clinical action” was defined as a therapy modification or return to control without therapy modification within 12 months among patients with baseline poor control. Potential overtreatment of these conditions was defined as intensive treatment among low-risk patients with optimal target values. Results 20% of patients with hypertension, 41% with dyslipidemia and 36% with diabetes mellitus were in control at baseline. When appropriate clinical action in response to poor control was integrated into measuring quality of care, 52 to 55% had appropriate quality of care. Over 12 months, therapy of 61% of patients with baseline poor control was modified for hypertension, 33% for dyslipidemia, and 85% for diabetes mellitus. Increases in number of drug classes (28-51%) and in drug doses (10-61%) were the most common therapy modifications. Patients with target organ damage and higher baseline values were more likely to have appropriate clinical action. We found low rates of potential overtreatment with 2% for hypertension, 3% for diabetes mellitus and 3-6% for dyslipidemia. Conclusions In primary care, evaluating whether physicians respond appropriately to poor risk factor control, in addition to assessing proportions in control, provide a broader view of the quality of care than relying solely on measures of proportions in control. Such measures could be more clinically relevant and acceptable to physicians than simply reporting levels of control.
dc.titleClinically relevant quality measures for risk factor control in primary care: a retrospective cohort study
dc.typeArticleen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/109469/1/12913_2014_Article_3403.pdf
dc.identifier.doi10.1186/1472-6963-14-306en_US
dc.language.rfc3066en
dc.rights.holderWeiler et al.; licensee BioMed Central Ltd.
dc.date.updated2014-12-08T17:45:02Z
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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