Literature DB >> 24041845

Do general practitioners follow treatment recommendations from guidelines in their decisions on heart failure management? A cross-sectional study.

Maartje H J Swennen1, Frans H Rutten, Cor J Kalkman, Yolanda van der Graaf, Alfred P E Sachs, Geert J M G van der Heijden.   

Abstract

OBJECTIVE: To investigate whether general practitioners (GPs) follow treatment recommendations from clinical practice guidelines in their decisions on the management of heart failure patients, and assess whether doctors' characteristics are related to their decisions.
DESIGN: Cross-sectional vignette study.
SETTING: Continuing Medical Education meeting. PARTICIPANTS: 451 Dutch GPs. MAIN OUTCOME MEASURES: Answers to four multiple-choice treatment decisions in clinical vignettes of a patient with heart failure and a reduced ejection fraction. With univariable and multivariable regression analyses, respondent characteristics were related to optimal treatment decisions.
RESULTS: Of the 451 GPs, none took four optimal decisions: 7% considered stopping statin treatment, 36% initiated β-blocker treatment at a low-dose and 4% doubled the β-blocker in the up-titration phase. Finally, for our vignette patient now also suffering from chronic obstructive pulmonary disease, 45% of the GPs continued β-blocker therapy even when they considered prescribing a long-acting β2-agonist. While the relation between respondent characteristics and each decision was very different, none was independently associated with all four decisions. Giving priority to evidence-based medicine was independently related to stopping statin treatment and doubling the β-blocker in the up-titration phase.
CONCLUSIONS: GPs seem not to follow treatment recommendations from clinical practice guidelines in their decisions on the management of heart failure patients. The recommendations from guidelines may appear counterintuitive when statin treatment needs to be stopped when a patient feels comfortable, or when a β-blocker should be up-titrated in patients who experience more symptoms. Giving priority to evidence-based medicine is possibly positively related to difficult treatment decisions.

Entities:  

Keywords:  PRIMARY CARE

Year:  2013        PMID: 24041845      PMCID: PMC3780330          DOI: 10.1136/bmjopen-2013-002982

Source DB:  PubMed          Journal:  BMJ Open        ISSN: 2044-6055            Impact factor:   2.692


In total 451 general practitioners (GPs) participated in our clinical vignette study. Unfortunately, the statistical power of our analyses on the relation of doctor characteristics as determinants of their management decisions was strongly reduced by the very few GPs that followed recommendations from CPGs.

Introduction

Robust evidence is available about optimal management of patients with heart failure and a reduced ejection fraction (HF-REF).1 This evidence is included in clinical practice guidelines (CPGs), that aimed to serve as up-to-date evidence summaries, to provide recommendations on medical decisions, to prevent unwarranted interdoctor variation and to promote best practice. However, counterintuitive recommendations, that is, those in conflict with prior knowledge or common clinical practice, or those which are unclear or ambiguous seem most sensitive to poor agreement, acceptance and adherence. On the basis of evaluation and reviews of patient records and insurance claims previous studies showed that adherence to guidelines on heart failure (HF) differs largely between physicians.2–5 A systematic review reported that adherence to CPGs was increased among female practitioners, those of younger age, with a belief in evidence-based medicine (EBM), and with feedback by peers.6 Although, research has failed to show a consistent relationship between doctor characteristics and quality of care,3 7 8 the female sex was reported to be related to better physician's performance,8 and being part of a group practice was reported to improve optimal drug prescription in patients with cardiovascular disease.3 7 For any patient with cardiovascular disease, treatment with statins is generally considered useful. A fairly recent insight is that statins have only a neutral effect in patients with HF-REF.9 10 Although recent guidelines on HF incorporate this evidence, they fail to provide a clear recommendation on stopping statins. While they mention the ‘unproven benefit’ of statins, they, on the one hand, advocate not to initiate statins, but on the other hand advise neither to stop statins in patients with HF-REF, nor to consider potential interactions with polypharmacy.1 Moreover, the willingness of a physician to stop this drug when a patient does not experience any adverse effects will probably be low. Therefore, a recommendation to stop statins in patients with HF-REF may appear counterintuitive. While β-blockers were considered contraindicated some decades ago, they are now viewed as mandatory in HF-REF. The large body of evidence on the effectiveness of β-blockers in HF-REF has been incorporated in HF guidelines since 2001. Nevertheless up-titration of β-blockers has not been adopted, in particular by general practitioners (GPs).2 3 Moreover, qualitative studies showed that GPs tend to refrain from initiation and up-titration of β-blockers because of fear of adverse effects and interactions with comorbid conditions.11 12 During β-blockers up-titration an initial reduction in exercise tolerance can be expected, and this certainly may have had an impact on the slow adoption of β-blocker treatment by physicians.13 Therefore, the currently available guidelines may appear counterintuitive when they recommend up-titration of β-blockers irrespective of both symptom severity and patient's water or salt retention.2–5 A recent shift in management is that cardioselective β-blockers are no longer considered contraindicated in chronic obstructive pulmonary disease (COPD)14 15 as they were a decade ago. Since 2008, HF guidelines recommend not to withhold cardioselective β-blockers when indicated16 and guidelines on COPD have followed this recommendation since 2011.17 Still, both guidelines do not provide clear recommendations on combining β-blockers with β2-agonists in patients with HF and concomitant COPD. Clinical vignette surveys showed to be especially effective and efficient for the evaluation of interdoctor variation in treatment decisions.18 19 We therefore used a clinical vignette mimicking four common treatment decisions for an imaginary patient with HF-REF. We thereby concentrated on CPG recommendations on the management of patients with HF regarding prescribing statins and β-blockers which for different reasons can be considered as counterintuitive, that is, in conflict with common practice or prior knowledge, or can be considered as unclear. We also assessed whether GP characteristics were related to optimal treatment decisions.

Methods

Setting and participants

We collected data during a 2-day CME meeting for GPs in December 2010 in which a wide range of clinical topics were addressed, attracting GPs nationwide (Boerhaave meeting, Leiden, the Netherlands). The verbal introduction to the survey informed the GPs that our survey was about their management of HF; that a vignette with limited response options was used to collect the data using an electronic voting system; that the data they provided would be treated anonymously during collection, analyses and reporting. They had about 10 min to decide on their participation. We used an electronic voting system that prevented respondents from going back and forth between questions, and allowed a maximum of 60 s to respond. Participating GPs were instructed to make decisions that reflect their actual practice. To prevent carry-over effects, that is, making interdependent inappropriate decisions, the best treatment decision was provided after each question but before the next information block and question. Data were collected anonymously.

Vignettes

We presented four information blocks on consecutive encounters with an imaginary patient with HF-REF (see online supplementary text box). Each information block included details on signs, symptoms, additional investigations and diagnosis to arrive at the treatment decision in accordance with the CPG recommendations. At the end of each information-block we asked a multiple-choice question with four or five decision options for the treatment decision. Thereafter we asked them to indicate their level of confidence on the chosen treatment decision. The Dutch College of General Practitioners informs all GPs about their new and updated CPGs. CPGs are made available in print and through free online access at the website of the College. In accordance with the evidence-based CPG treatment recommendations the decision for the first patient encounter was to stop statins,9 10 irrespective of the fact that the patient did not experience any adverse effects. For the second patient encounter, this was to add a low-dose β-blocker to ACE inhibitors and diuretics in a clinically stable patient.16 20 At the third encounter, doubling the β-blocker dosage was in accordance with the evidence-based CPG treatment recommendations, and not contraindicated because of the relapse in exercise tolerance.16 20 At the fourth encounter for a patient with HF-REF and COPD, not withholding a cardioselective β-blocker irrespective of prescribing a long-acting inhalation β2-agonist was the decision in accordance with the evidence-based CPG treatment recommendations.15 16 20

Characteristics of the respondent

On the basis of a review of the literature we considered age, sex, years in practice, practice size, current professional tasks and responsibilities, experience with doing research, decision-making style, first acquaintance with EBM, priority given to EBM, sources consulted for keeping up-to-date with evidence and perceived EBM performance of themselves and colleagues, as relevant putative determinants for quality of patient care and adherence to evidence-based CPGs.3 6–8 21 We asked information from participating GPs about this, together with their confidence and preferred information sources for arriving at each treatment decision.

Vignette pretesting

Sixty-eight GPs participated in pretest sessions in which they judged that the questions and the imaginary patient scenario were sufficiently genuine and representative of the actual clinical practice. We also ensured that the wording was unambiguous. In addition, they did not encounter hidden prompts towards socially desirable answers nor cues to the evidence-based CPG treatment recommendations. Based on the pretest sessions we finalised the vignette.

Data analyses

The respondent characteristics on priority given to EBM, own EBM performance, colleagues’ EBM performance and confidence on each treatment decision—all with a 9-point response scale—were dichotomised: 1–6 for low/poor and moderate/modest, and 7–9 for high/excellent. The scores for decision-making style—with a 9-point response scale—were dichotomised: 1–6 intuitive or mixed intuitive and rational, and 7–9 rational. We summed the four treatment decision confidence scores and dichotomised them in low-to-moderate (1–24), and high (25–36) overall confidence. We dichotomised the treatment decisions into those in accordance with CPG treatment recommendations or those that are not. Before applying multivariate analysis, we assumed missing decisions to reflect ‘wrong’ decisions, and used unconditional median imputation for missing respondent characteristics. With multivariate logistic regression analyses we explored which GP characteristics were related to each of the decisions in accordance with CPG treatment recommendations. We included GP characteristics which had a univariate relationship with at least one treatment decision in accordance with CPG treatment recommendations (p value ≤0.20). For the final multivariate model per treatment decision, we retained respondent characteristics with a p value ≤0.10. We used SPSS, V.20.0 for Windows (SPSS Inc, Chicago, Illinois, USA) for all data analyses.

Results

We obtained data from 451 respondents, that is, 72% of the 623 GPs who signed the attendance list of the CME meeting. There were 10% missing data for decision points 1 and 4, 2% missing data for decision point 2, 5% for decision point 3. Seven respondent characteristics had fewer than 4% missings, and five characteristics had 4% or more missings, with a maximum of 10% for gender. The respondents resembled the Dutch GP population; most were men, about half were older than 50 years of age, and women were over-represented in the younger age categories. Most respondents had been in practice for more than 10 years, practiced alone or with one other GP, did not train GP registrars, and had no research experience (table 1). Respondents preferred reading journals (30%), following CME (28%), and consulting Dutch GP guidelines (27%) for keeping up-to-date with evidence. About 40% of respondents gave EBM high priority, and rated their own EBM performance as excellent (table 1).
Table 1

Baseline characteristics of the 451 responding GPs

Doctor characteristicsN (%)
Sex*
 Male266 (62)
 Female162 (38)
Age (years)†
 21–50189 (47)
 51+217 (53)
Years in practice*
 0–20218 (50)
 21+219 (50)
Practice size*
 Solo practice104 (24)
 Duo or group practice334 (76)
Current job*
 GP only306 (72)
 GP plus other‡120 (28)
Research experience*
 No341 (78)
 Yes99 (22)
First acquaintance with EBM*
 Medical school or residency234 (53)
 After GP certification, while doing research208 (47)
Priority given to EBM in own daily practice*
 Low or moderate239 (55)
 High193 (45)
Own EBM performance*
 Poor or moderate253 (58)
 Excellent186 (42)
EBM performance of GP colleagues*
 Poor or moderate272 (62)
 Excellent164 (48)
Decision-making style*
 Strong intuition or mixed305 (70)
 Strong ratio128 (30)
Preferred source§ for keeping up-to-date with evidence*
 Oral reference139 (32)
 Written reference302 (68)

Missing data.

*<5%.

†Between 5% and 10%.

‡Other, that is, registrar supervision, research, education, management.

§Oral reference, that is, colleagues, specialists, pharmaceutical reps or CME. Written reference, that is, internet, guidelines, handbooks or journals.

CPG, clinical practice guideline; EBM, evidence-based medicine; GP, general practitioner.

Baseline characteristics of the 451 responding GPs Missing data. *<5%. †Between 5% and 10%. ‡Other, that is, registrar supervision, research, education, management. §Oral reference, that is, colleagues, specialists, pharmaceutical reps or CME. Written reference, that is, internet, guidelines, handbooks or journals. CPG, clinical practice guideline; EBM, evidence-based medicine; GP, general practitioner.

Treatment decisions

The number of optimal treatment decisions was low for all four decisions (table 2). While 195 GPs (43%) had high confidence about their first decision, 32 (7%) respondents considered stopping statin treatment. For the second decision, 171 GPs (38%) were highly confident, while 163 GPs (36%) decided to initiate a β-blocker at an appropriate low dose. While 124 GPs (27%) were highly confident in their third decision, 17 (4%) decided to increase β-blocker dose to target for maximum tolerated dose irrespective of the fact that the patient had a relapse in exercise tolerance. For the fourth decision, 79 GPs (18%) were highly confident with their decision, while 202 (45%) decided to continue β-blockers even when a long-acting inhalation β2-agonist was considered necessary for the patient with HF-REF and COPD. Another 32% of GPs decided that β-blockers could not be combined with β2-agonists and therefore continued β-blockers with an inhalation anticholinergic.
Table 2

Number (%) of respondents with CPG-based treatment decisions

Decision 1Decision 2Decision 3Decision 4
Stop statinStart low dose β-blockerDouble dose of β-blockerContinue β-blocker in COPD
CPB-based decision32 (7)163 (36)17 (4)202 (45)
Confidence per treatment decision†
 High195 (43)171 (38)124 (27)79 (18)
 Moderate or low256 (57)280 (62)327 (73)372 (82)
Mean (sd)6 (2)6 (2)5 (2)4 (2)

*The percentages are calculated based on a total number of 451 respondents.

†Confidence per treatment decision: the nine-point ordinal scale ranging from 1 (lowest possible confidence in appropriateness of decision) to 9 (highest possible confidence in appropriateness of decision) was dichotomised to high (7–9), moderate or low (1–6).

COPD, chronic obstructive pulmonary disease; CPG, clinical practice guideline; EBM, evidence-based medicine.

Number (%) of respondents with CPG-based treatment decisions *The percentages are calculated based on a total number of 451 respondents. †Confidence per treatment decision: the nine-point ordinal scale ranging from 1 (lowest possible confidence in appropriateness of decision) to 9 (highest possible confidence in appropriateness of decision) was dichotomised to high (7–9), moderate or low (1–6). COPD, chronic obstructive pulmonary disease; CPG, clinical practice guideline; EBM, evidence-based medicine. None of the participants responded optimally to all four decision points, 9 (2%) GPs decided favourably for three decision points, 86 (19%) twice and 215 (48%) once. Finally, 141 GPs (31%) never decided optimally.

Impact of respondent characteristics on treatment decisions

The distribution of appropriate treatment decisions for GP characteristics is shown in table 3. Univariate analysis (data not shown) revealed that age, sex (male), number of years in practice (more than 20 years), research experience (none), first acquaintance with EBM (after medical school or residency), EBM performance of GP colleagues (low or moderate), giving priority to EBM (high) and overall confidence across four treatment decisions (high) were all related to both the decision to stop statin treatment and the decision to double β-blocker dosage.
Table 3

Proportion of respondents with CPG-based treatment decisions per doctor characteristic

Decision 1Decision 2Decision 3Decision 4
Doctor characteristicStatusNStop statin Per centStart low dose β-blocker Per centDouble dose of β-blocker Per centContinue β-blocker in COPD Per cent
SexMale266942543
Female162529247
Age (years)21–50189437547
51+702171136344
Years in practice0–20218537243
21+219936544
Practice sizeSolo practice104209811118
Duo or group practice334217221
Current jobGP306849556
GP plus12048013
Research experienceNo341839445
Yes99527244
First acquaintance to EBMMed school/residency2341265679
During research2081403
Priority given to EBMLow or moderate239538347
High193936644
Own EBM performancePoor or moderate253837343
Excellent186635444
EBM performance of GP colleaguesPoor or moderate272840544
Excellent164530245
Decision-making styleIntuitive or mixed305836343
Rational128538548
Confidence per treatment decisionLow or moderate274730460
High1141171530
Preferred source for keeping up-to-dateOral reference†1391034344
Written reference†302637443

†Oral reference, that is, colleagues, specialists, pharmaceutical reports or CME. Written reference, that is, internet, guidelines, handbooks or journals.

COPD, chronic obstructive pulmonary disease; CPG, clinical practice guideline; EBM, evidence-based medicine; GP, general practitioner.

Proportion of respondents with CPG-based treatment decisions per doctor characteristic †Oral reference, that is, colleagues, specialists, pharmaceutical reports or CME. Written reference, that is, internet, guidelines, handbooks or journals. COPD, chronic obstructive pulmonary disease; CPG, clinical practice guideline; EBM, evidence-based medicine; GP, general practitioner. Table 4 shows the results of the multivariate analysis for GP characteristics with a univariate relationship with at least one decision in accordance with CPG treatment recommendations. These multivariate analyses showed that age was independently associated with three decisions; number of years in practice, first acquaintance with EBM, priority given to EBM and EBM performance of GP colleagues were each associated with two decisions. Only high priority given to EBM show a significant independent association with two decisions in a consistent direction: stopping statin treatment and doubling β-blocker dosage. The other doctor characteristics assessed during multivariate analysis were related to one treatment decision (table 4). None of the doctor characteristics was related to doctor compliance with CPG recommendations on all four treatment decisions, neither during univariate nor multivariate analysis.
Table 4

Independent associations (multivariate OR and their 95% CI) between doctor characteristics (n=451 GPs) and CPG-based treatment decisions

Decision 1Decision 2Decision 3Decision 4
Stop statinStart β-blocker at low doseDouble dose of β-blockerContinue β-blocker in COPD
Sex
 Male
 Female0.58 (0.37; 0.92)
Age (year)
 21–50
 51+2.13 (0.90; 5.01)0.18 (0.04; 0.72)0.60 (0.37; 0.98)
Years in practice
 0–20
 21+6.15 (1.49; 25.3)
First acquaintance with EBM
 Medical school/residency
 Afterwards or during research0.67 (0.43; 1.04)1.64 (1.01; 2.66)
Priority given to EBM
 Low or moderate
 High1.70 (0.77; 3.74)2.88 (0.94; 8.90)
EBM performance of GP colleagues
 Poor or moderate
 Excellent0.57 (0.37; 0.88)0.36 (0.10; 1.31)
Confidence in treatment decision
 Low or moderate
 High2.27 (1.49; 3.46)
Overall confidence across four treatment decisions
 Low or moderate
 High0.91 (0.60; 1.36)
Preferred source for keeping up-to-date
 Oral reference*
 Written reference*2.41 (1.10; 5.31)

*Overall confidence across treatment decisions: sum of confidence scores of all four treatment decisions. In 14% of the participants there was one or more of the four confidence scores missing.

COPD, chronic obstructive pulmonary disease; CPG, clinical practice guideline; EBM, evidence-based medicine; GP, general practitioner.

Independent associations (multivariate OR and their 95% CI) between doctor characteristics (n=451 GPs) and CPG-based treatment decisions *Overall confidence across treatment decisions: sum of confidence scores of all four treatment decisions. In 14% of the participants there was one or more of the four confidence scores missing. COPD, chronic obstructive pulmonary disease; CPG, clinical practice guideline; EBM, evidence-based medicine; GP, general practitioner.

Discussion

Most treatment decisions by GPs on prescribing statins and β-blockers in a clinical vignette patient with HF-REF were not in accordance with recommendations from available CPGs. While in particular, adherence to recommendations which may appear counterintuitive, that is, conflicting with common practice or prior knowledge, will be low, weak recommendations seem most sensitive to poor agreement, acceptance and adherence. Moreover, unclear or ambiguous recommendations clearly will give rise to non-adherence. None of the relevant doctor characteristics was related to doctor compliance with CPG recommendations on all four treatment decisions. But encouragingly, giving high priority to EBM in clinical practice was associated with the decision to stop statins as long as the patient does not mention any adverse effect, and with the decision to up-titrate β-blockers while the patient experienced a commonly associated and therefore predictable relapse in exercise tolerance. Some aspects of our findings deserve further consideration. First, our study setting (Boerhaave) may have been somewhat artificial and this may have contributed to the low number of GPs taking decisions in accordance with the CPG recommendations. Still, our approach to data collection, notably clinical vignette surveys with self-reported responses, has been shown to be effective and efficient in evaluating variation in treatment decisions.18 19 Moreover, our use of multiple-choice response options, rather than an open-ended format, may have resulted in either or both an underestimation of actual practice variation19 and overestimation of doctor performance.22 Second, numerous participating GPs may have been reluctant to stop statins when a patient feels comfortable with them (decision 1), while many were hesitant to initiate β-blocker treatment (decision 2) or to up-titrate β-blocker to the recommended dose, even if the complaints of patients turn out to show no contraindication for this (decision 3). Furthermore, many turned out to be rather cautious to combine β-blockers with a long-acting inhalation β2-agonist in the management of patients with HF-REF and COPD (decision 4). Third, our vignettes concern CPG recommendations for the management of patients with HF-REF which, to some extent and for different reasons, may appear counterintuitive or can be considered ambiguous or unclear. Therefore, one might question whether and when it is appropriate for a GP to follow CPG recommendations in the management of patients with HF-REF. While the Dutch and ESC guidelines clearly recommend not to initiate statins for patients with HF-REF, they do not advise to stop.1 16 20 We think, however, that continuing a drug that is not shown to be beneficial is a waste of money. Particularly in patients with HF-REF where polypharmacy is often seen, careful medication management is justified in order to prevent harm or interactions. The evidence on the effectiveness of β-blockers for HF-REF has been available for more than a decade,23–29 and their careful up-titration is advocated in the available CPGs on HF.16 20 Still, previous qualitative studies have shown that GPs were unfamiliar with their beneficial effects and poorly adhered to the latest guidelines with respect to β-blockers.11 12 While β-blocker intolerance in HF-REF is very low,5 11 12 GPs are hesitant to prescribe β-blockers because of individual prior negative experiences and their concerns about harmful effects.11 While CPGs discuss continuation of β-blockers, preferably cardioselective ones in patients with HF-REF and COPD, they provide no clear recommendation about combining β-blockers with β2-agonists.16 20 Combining β-blockers and β2-agonists may seem counterintuitive, but adverse effects are very rare.14 15 Certainly, GPs may have been confused by contradictory recommendations from current (ie, up to 2011) guidelines in cardiology advocating not to refrain from β-blockers in patients with COPD, and guidelines in pulmonology discussing β-blockers as (relatively) contraindicated in patients with COPD. It should be noted that after data for this study had been collected, the pulmonology guidelines that had been issued in 2011 recommend β-blockers in patients with HF as well as COPD.17 Still, in CPGs conclusions on the evidence and the recommendations based thereupon should be stated more transparently, and should be separated more explicitly. Finally, although our findings on the poor adherence to CPG recommendations may have important implications for patient care, they may have been subject to chance. Moreover, despite our large sample size, the low number of decisions in accordance with CPG recommendations decreased statistical power to identify characteristics related to adherence to CPG recommendation. Still, the associations between doctor characteristics and adherence to CPG recommendations that have been reported to date were weak and lacked consistency across studies.3 7 8 While the CPG recommendations for the management of patients with HF-REF are unclear or ambiguous, or may appear counterintuitive, we conclude that GPs appear not to follow evidence-based CPG recommendations in their decisions on prescribing statins and β-blockers for patients with HF-REF. None of the relevant respondent characteristics were consistently associated with decisions in accordance with CPG recommendations. Encouragingly, giving high priority to EBM in clinical practice was related to adherence to the guidelines for more decisions.
  26 in total

1.  Guidelines for the diagnosis and treatment of chronic heart failure.

Authors:  W J Remme; K Swedberg
Journal:  Eur Heart J       Date:  2001-09       Impact factor: 29.983

2.  A trial of the beta-blocker bucindolol in patients with advanced chronic heart failure.

Authors:  Eric J Eichhorn; Michael J Domanski; Heidi Krause-Steinrauf; Michael R Bristow; Philip W Lavori
Journal:  N Engl J Med       Date:  2001-05-31       Impact factor: 91.245

3.  Barriers to accurate diagnosis and effective management of heart failure in primary care: qualitative study.

Authors:  Ahmet Fuat; A Pali S Hungin; Jeremy James Murphy
Journal:  BMJ       Date:  2003-01-25

4.  Ivabradine in heart failure--no paradigm SHIFT…yet.

Authors:  John R Teerlink
Journal:  Lancet       Date:  2010-09-11       Impact factor: 79.321

5.  Influence of physician factors on the effectiveness of a continuing medical education intervention.

Authors:  Sergio Flores; Hortensia Reyes; Ricardo Perez-Cuevas
Journal:  Fam Med       Date:  2006 Jul-Aug       Impact factor: 1.756

6.  The relationship between medical practice characteristics and quality of care for cardiovascular disease.

Authors:  Bruce E Landon; Sharon Lise T Normand; Ellen Meara; Steven R Simon; Richard Frank; Barbara J McNeil
Journal:  Med Care Res Rev       Date:  2007-12-20       Impact factor: 3.929

Review 7.  ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure 2008: the Task Force for the Diagnosis and Treatment of Acute and Chronic Heart Failure 2008 of the European Society of Cardiology. Developed in collaboration with the Heart Failure Association of the ESC (HFA) and endorsed by the European Society of Intensive Care Medicine (ESICM).

Authors:  Kenneth Dickstein; Alain Cohen-Solal; Gerasimos Filippatos; John J V McMurray; Piotr Ponikowski; Philip Alexander Poole-Wilson; Anna Strömberg; Dirk J van Veldhuisen; Dan Atar; Arno W Hoes; Andre Keren; Alexandre Mebazaa; Markku Nieminen; Silvia Giuliana Priori; Karl Swedberg
Journal:  Eur Heart J       Date:  2008-09-17       Impact factor: 29.983

8.  A randomized trial of beta-blockade in heart failure. The Cardiac Insufficiency Bisoprolol Study (CIBIS). CIBIS Investigators and Committees.

Authors: 
Journal:  Circulation       Date:  1994-10       Impact factor: 29.690

9.  Evaluation of the management of heart failure in primary care.

Authors:  Melanie J Calvert; Aparna Shankar; Richard J McManus; Ronan Ryan; Nick Freemantle
Journal:  Fam Pract       Date:  2009-01-18       Impact factor: 2.267

10.  Measuring the quality of physician practice by using clinical vignettes: a prospective validation study.

Authors:  John W Peabody; Jeff Luck; Peter Glassman; Sharad Jain; Joyce Hansen; Maureen Spell; Martin Lee
Journal:  Ann Intern Med       Date:  2004-11-16       Impact factor: 25.391

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Journal:  BMC Fam Pract       Date:  2014-09-18       Impact factor: 2.497

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Journal:  BMJ Open       Date:  2018-02-11       Impact factor: 2.692

7.  The attitudes and beliefs of general practitioners towards clinical practice guidelines: a qualitative study in Al Ain, United Arab Emirates.

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9.  Effects of neurohormonal antagonists on blood pressure in patients with heart failure with reduced ejection fraction (HFrEF): a systematic review protocol.

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