Abstract:Background
Heart failure is common and highly morbid in older adults. Performance measurement systems for this condition may work best when they account for the reasons why physicians do not provide guideline-recommended interventions.
Objective
To develop a conceptual framework for understanding the proximate, patient-centered reasons why physicians do not prescribe ACE inhibitors and beta blockers to patients with heart failure.
Design
Focus group study using a two-stage design. First, we asked participa… Show more
“…Similar to findings from a study of barriers to beta‐blocker and ACE inhibitor use in HF patients, noncardiology providers reported concerns about their respective “roles and responsibilities” (comanagement) and would defer to cardiology to initiate MRA therapy for patients who were comanaged. This reflected the sentiment that MRA therapy was a cardiology‐specific therapy outside of the norm of primary care.…”
Background--Mineralocorticoid receptor antagonists (MRAs) are the most underutilized pharmacotherapy for heart failure. Minimal data are available on the barriers to MRA adoption from the perspective of prescribing clinicians.
“…Similar to findings from a study of barriers to beta‐blocker and ACE inhibitor use in HF patients, noncardiology providers reported concerns about their respective “roles and responsibilities” (comanagement) and would defer to cardiology to initiate MRA therapy for patients who were comanaged. This reflected the sentiment that MRA therapy was a cardiology‐specific therapy outside of the norm of primary care.…”
Background--Mineralocorticoid receptor antagonists (MRAs) are the most underutilized pharmacotherapy for heart failure. Minimal data are available on the barriers to MRA adoption from the perspective of prescribing clinicians.
“…1, 3,
5-6, 21-23 However, it has been difficult to determine to
what extent these contextual factors are truly uncommon or are simply
undocumented. 19, 24-25 Our findings from clinician interviews that contextual
factors were responsible for as much non-prescribing as biomedical factors suggests
that performance measurement systems, most of which focus on biomedical exceptions,
address only half of the issue of non-prescribing of guideline-recommended
medications. This fosters a misalignment of physician incentives to provide
context-sensitive care.…”
Section: Discussionmentioning
confidence: 92%
“…Reasons for not prescribing an ACE-I/ARB and/or a
beta blocker were assessed based on a published taxonomy. 19 This taxonomy includes
“biomedical reasons” for not receiving guideline-recommended
medications for heart failure (e.g., clinical contraindications to drug therapy)
and “contextual reasons,” which include the patient's life
circumstances and goals as well as challenges in health care delivery (e.g.,
patient attitudes, competing priorities, lack of coordinated care). To be coded
as a reason for non-prescribing, we required an explicit or strongly implicit
statement that linked the decision not to prescribe to a specific reason for
that decision (see Appendix,
supplemental digital content 1 for more details).…”
Background
Little is known about how often contextual factors such as patient
preferences and competing priorities impact prescribing of
guideline-recommended medications, or about the extent to which these
factors are documented in medical records and available to performance
measurement systems.
Methods
Mixed-methods study of 295 veterans age 50 years and
older in 4 VA health care systems who had systolic heart failure and were
not prescribed a beta blocker and/or an ACE inhibitor (ACE-I) or angiotensin
receptor blocker (ARB). Reasons for non-treatment were identified from
clinic notes and from interviews with 62 primary care clinicians caring for
these patients. These reasons were classified using a published
taxonomy.
Results
Among 295 patients not receiving guideline-recommended drugs for
heart failure, chart review identified biomedical reasons for
non-prescribing in 42-58% of patients and contextual reasons in 11-17%.
Clinician interviews identified twice as many reasons for non-prescribing as
chart review (mean 1.6 vs. 0.8 reasons per patient, P < .001). In
these interviews, biomedical reasons for non-prescribing were cited in
50-70% of patients, and contextual reasons in 64-70%. The most common
contextual reasons were co-management with other clinicians (32-35% of
patients), patient preferences and non-adherence (15-24%), and clinician
belief that the medication is not indicated in the patient (12-20%).
Conclusions
Contextual reasons for not prescribing ACE-I/ARBs and beta blockers
are present in two-thirds of patients with heart failure who did not receive
these medications, yet are poorly documented in medical records. The
structure of medical records should be improved to facilitate documentation
of contextual reasons for not providing guideline-recommended care.
“…A study about the prescription of b-blockers in patients with coronary artery disease found a similar result (35). Several patient-related reasons for potential undertreatment have been proposed (36,37), some of which are likely to differ among age groups. Aged patients have, for instance, more often comorbidities (31) and an increased risk of adverse drug events that may restrict the therapeutic options, and their treatment preferences and needs may also differ from younger patients (38).…”
OBJECTIVE
To assess whether after the introduction of diabetes performance measures decreases in undertreatment correspond with increases in overtreatment for blood pressure (BP) and glycemic control in different patient age groups.
RESEARCH DESIGN AND METHODS
We conducted a cohort study using data from the Groningen Initiative to Analyse Type 2 Diabetes Treatment (GIANTT) database. General practices were included when data were available from 1 year before to at least 1 year after the introduction of diabetes performance measures. Included patients had a confirmed diagnosis of type 2 diabetes. Potential overtreatment was defined as prescribing maximum treatment or a treatment intensification to patients with a sustained low-risk factor level. Potential undertreatment was defined as a lack of treatment intensification in patients with a sustained high-risk factor level. Percentages of over- and undertreated patients at baseline were compared with those in subsequent years, and stratified analyses were performed for different patient age groups.
RESULTS
For BP, undertreatment significantly decreased from 61 to 57% in the first year after the introduction of performance measures. In patients >75 years of age, undertreatment decreased from 65 to ∼61%. Overtreatment was relatively stable (∼16%). For glycemic control, undertreatment significantly increased from 49 to 53%, and overtreatment remained relatively stable (∼7%).
CONCLUSIONS
The improvement of BP undertreatment after introduction of the performance measures did not correspond with an increase in overtreatment. The performance measures appeared to have little impact on improving glucose-regulating treatment. The trends did not differ among patient age groups.
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