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Clinical Decision-Making in Blood Pressure Management of Patients with Diabetes Mellitus: An Oklahoma Physicians Resource/Research Network (OKPRN) Study

From the University of Oklahoma College of Medicine, University of Oklahoma Health Sciences Center, Department of Family and Preventive Medicine, Oklahoma City, OK

Correspondence: Corresponding author: Cheryl B. Aspy, PhD, Department of Family and Preventive Medicine, University of Oklahoma College of Medicine, University of Oklahoma Health Sciences Center, 900 NE 10th Street, Oklahoma City, OK 73104 (E-mail: Cheryl-apsy{at}ouhsc.edu)

	Abstract

Top Notes Abstract Research Design and Methods Results Discussion References

 
Background: Outcomes can be improved when the blood pressure (BP) is kept below 130/80 in patients with diabetes mellitus. However, physicians and patients achieve this target less than 50% of the time. The purpose of this study was to determine the reasons for this apparent quality deficit from the perspective of a small random sample of family physicians.

Methods: Nine family physicians completed interviews about encounters with diabetic patients with BP 130/80 for whom no change in management was recorded. Four investigators analyzed the transcribed interviews to identify and categorize reasons for failure to intervene.

Results: Ninety-eight (62%) of 159 patients had BP 130/80 at the index visit. No change in management was recorded in 73 (74%). Physicians gave 175 reasons for nonintervention in 3 broad categories, physician-related, patient-related, and information/measurement-related reasons, and 10 subcategories. In most cases they gave more than one reason (mean 2.4) per case. The most frequent subcategories were limited treatment options (47/73; 64%), inadequate information on which to intervene (43/73; 59%), and patient nonadherence (27/73; 37%). Competing demands were mentioned in 10 cases (13.7%). Physicians differed with regard to the kinds of reasons given.

Conclusions: Physicians have a variety of clinical reasons for not responding to elevated BP in diabetic patients. Some might be addressed with better technology (eg, more reliable BP measurements) or health care system reforms (eg, less expensive medications). Others (eg, patient nonadherence) are more challenging. Methods for measuring quality must be robust enough to account for legitimate clinical reasons for not achieving BP targets. Physician-based interventions will need to take into account different physician personalities and practice styles.

Widely accepted guidelines recommend that BPs be kept below 130/80 mm Hg^{10,11,14–16} in patients with diabetes, and treatment to this target has been shown to be cost effective.¹⁶ However, studies have shown that clinicians often fail to achieve this target,^{6,7,15,17–20} and an estimated 50% to 75% of diabetic patients in the United States have mean BPs >130/80.⁷

Oliveria et al found that the most frequent physician-reported reasons for nonintervention were that a satisfactory response had occurred (35%), continued monitoring was indicated before making additional medication changes (30%), there were competing priorities or agendas (29%), and some patients were noncompliant with recommendations (18%).²⁰ Berlowitz et al found that physicians were less successful in managing hypertension in diabetic patients and that this was partly because they were less aggressive in patients with diabetes than in nondiabetic patients.⁷ Phillips suggested the term "clinical inertia" to describe physicians’ behavior with regard to BP control.^21–25

The purpose of this qualitative study was to more carefully explore the reasons that family physicians choose not to intervene with some diabetic patients with elevated BP. In contrast to prior studies that relied on paper-and-pencil surveys,^20,26 we directly interviewed physicians about their decision-making process within 2 weeks of an index encounter with the patient’s medical record available for review.

	Research Design and Methods

Top Notes Abstract Research Design and Methods Results Discussion References

 
This study was approved by the University of Oklahoma Health Sciences Center Institutional Review Board and was conducted in the Oklahoma Physicians Resource/Research Network (OKPRN), a primary care practice-based research network with 160 physician members. Twelve practicing physicians were selected, using a random numbers table, and invited to participate. Nine of the twelve agreed to participate and gave informed consent. Of those who declined, one did so because of an office move, one was on vacation, and the third was ill. All participants were practicing physicians who had completed a residency in Family Medicine and were board certified.

The medical records of all patients with a diagnosis of diabetes mellitus seen by each of the participating physicians for any reason during the prior 2-week period were held by the office nurse so that one of the authors (AC) could determine whether the patient’s recorded BP at that visit was >130/80. If so, the chart was examined for physician-recommended interventions that might result in lower BP (eg, diet, exercise, medications). If no intervention was documented, basic sociodemographic information was recorded, and the patient was added to the physician’s interview list. No interview occurred more than 2 weeks after the index visit. Structured interviews were used to elicit the physicians’ rationale(s) for not intervening to lower BP to the recommended target. Patient medical records were available during the interviews although the physicians were not required to review them. Physicians were paid $75 per interview session.

The interviewer, a 2nd year medical student, followed a script that included both open-ended questions (eg, what factors influenced your decision not to intervene in this case?) and closed questions (eg, do you agree with the current guidelines that suggest keeping BP levels below 130/80 in diabetic patients?). Additional questions could be added to clarify responses at interviewer discretion. Informal training and feedback were provided to the interviewer by the other research team members, a family physician faculty member, a nonphysician educator and researcher, and a psychoanalytic anthropologist, who have extensive experience in conducting interviews. All interviews were audio-recorded and transcribed. All 4 members of the research team reviewed the transcripts, first by encounter, and then by physician, to identify and categorize reasons for nonintervention. Final reasons, categories, and subcategories were determined by consensus.

The data were entered into QSR N-Vivo, coded and analyzed. Descriptive statistics were computed for patient gender, age, BP at the time of visit, insurance coverage, and number of BP medications taken using SimStat v.2.1 (Provalis Research).

	Results

Top Notes Abstract Research Design and Methods Results Discussion References

 
During this 8-week study, the 9 participating physicians saw a total of 159 adult diabetic patients. Ninety-eight patients (62%) had BPs >130/80 at the index visit. Interventions were documented in 25 (26%) of these, leaving 73 that met study inclusion criteria. Three participating physicians were in private community practices, 2 practiced at an academic medical center, 2 worked in community hospital-based residency programs, one was in an Indian tribal clinic, and one practiced in a federally funded community health center. Seven had been in practice for more than 10 years. A majority of eligible patients, (42; 58%) were seen in the private practices, all located in medium-sized towns (population, 20,000 to 50,000; also, see Table 1).

All physicians were familiar with recommended BP targets and all but one agreed with them. Physicians cited 175 reasons for not recommending additional measures to reduce the elevated BPs in the 73 patients (2.4 per patient); however, 18 (25%) patients had only 1 reason cited, and of these, 50% gave the reason for not making a change as "lack of a consistent trend." The reasons cited per patient ranged from 1 to 6 with 34% having 2 reasons, 20.5% had 3 reasons, and 20.5% had 4 or more reasons. The reasons given could be divided into 3 categories, physician-related, patient-related, and information/measurement-related reasons, and 10 subcategories (Table 2).

Another common physician-related reason, mentioned in 13.7% of the interviews, was "competing demands" (ie, other problems were deemed more important at that visit). An example was, "on her last visit she was found to be in atrial fibrillation which is a brand new diagnosis for her ..." and "It’s just that we had more pressing issues ... she actually developed some systemic changes in the feet that looked gangrenous."

In 12.3% of cases, the physician was "co-managing" the patient with another physician (eg, a cardiologist or nephrologist) who was also managing the patient’s BP medications. This can be characterized by the following statement: "She (patient) is co-managed with a cardiologist, and to tell you quite frankly, I’m not always sure what my role is ..."

Only one physician said that he did not agree with the 130/80 target. His comments included, "Because I consider 140/90 normal" and "I wouldn’t treat anybody with BPs of 136/84." Another physician seemed less than completely convinced, stating, "I don’t think she has a blood pressure problem right now" even though the BP was >130/80.

The patient-related category included 4 subcategories. The most frequently occurring were limited treatment options (64%) and physician-perceived patient nonadherence (37%). Limited treatment options included the high cost of medications/inadequate insurance (37%), adverse side effects of medications (16.4%), and comorbidities (11%). Representative statements included: "Medication costs were the main factor that I took into account" and "She is on a fixed income and there is no pharmacy coverage for her... ." (cost), "I have her on an ARB and a beta blocker, and she was complaining of fatigue and we just actually had a decrease in her Diovan dose" (side effects); and "He’s got a big problem with ... alcoholism and cirrhosis of the liver" (comorbidity).

Patient nonadherence could be subdivided into general nonadherence (19.2%), denial (4.1%), alcoholism (4.1%), cultural issues (2.7%), depression and dementia (each 2.7%), and language/communication barriers (1.4%). Examples were: "Basically, compliance is the main factor that needs to be taken into account... ," "... but if he does start drinking, then he can get real noncompliant," and "... the grief and depression were complicating what was going on as well..."

We distinguished competing patient agendas, mentioned in 6.9% of cases, from competing demands. Examples of the former were, "She was just a drop-in that day because she had some swelling in her arm..." and "She insists she has no symptoms though, and what she came to ask me this day was to decrease her medication rather than increase it."

In 4.1% of interviews, physicians said that the patient was on multiple medications and the risk-to-benefit ratio of adding another was too high to warrant a change. An example related to a 90-year-old man was: "I don’t really think that lowering his BP to ADA standards is going to substantially improve either his length or quality of life at this point."

In the information and measurement category, the most common subcategory cited was "lack of a consistent trend." In over a third (35.6%) of the interviews, the elevated BP was inconsistent with prior documented lower readings. An example is, "She’s another one of those who will vary, ... back a couple of office visits, she was running 120 over 76." In 9.6% of cases, the physician distrusted the BP measurement on that day because of some unusual circumstances (eg, the patient forgot to take their medications or was in pain). Another 6.9% reported that their pressures taken at home were below 130/80, and the physician used this as a reason for not intervening despite BP elevation in the office.

Physicians approached decisions about intervention differently. Most viewed BP control as a complex balancing act involving cost, quality of life, and future benefits, the latter being most difficult to estimate for a given individual. However, different clusters of reasons for nonintervention were given by different physicians. For example, some physicians tended to focus on lifestyle changes, allowing plenty of time for patients to modify their diets, exercise programs, and stress levels; some were more concerned about the costs of medications, going out of their way to try to minimize them; others co-managed a number of patients with cardiologists and nephrologists with confusion at times about roles; still others distrusted office BP readings, particularly when they varied from visit to visit or didn’t correlate with reported home readings. These differences may have reflected differences in personality, practice style, practice settings, and patient populations (also see Table 1).

	Discussion

Top Notes Abstract Research Design and Methods Results Discussion References

 
Much has been written about why physicians don’t always follow clinical guidelines in general.²⁷ A systematic review of the English language literature published between 1966 and 1998 included 120 different surveys investigating 293 potential barriers to guideline adherence.²⁸ These reviewers categorized the reasons as follows: lack of awareness, familiarity, or agreement with the guidelines; low self-efficacy or high inertia; low outcome expectations; and external barriers. They also suggested that interventions addressed at single barriers are less likely to be successful than those that address multiple, often less obvious barriers, and that the spectrum and distribution of barriers are likely to vary across guidelines, clinicians, and settings.

In a similar study, general internists were asked to record their reasons for nonadherence to diabetes care guidelines in an open-ended format. Results suggested that physicians followed some guidelines more often than others and common reasons for nonadherence included oversight (physician forgot), patient nonadherence, and "systems issues" (failure of consultants to send reports, patient can’t afford medication, tested but not yet documented, etc).²⁹ Similar reasons have been documented for physicians’ failure to consistently lower A1c levels to below 8%.³⁰ In primary care settings, physicians also choose not to follow guidelines for a variety of practical and clinical reasons.³¹

We believe that the interviews conducted in our study yielded additional insights into the complex decision-making process used by primary care physicians to determine whether to intervene when BPs are elevated in diabetic patients. Some reasons were the same as those reported by others, including satisfaction with progress, competing agendas, and patient nonadherence,^20,26 whereas others have not previously been emphasized. In addition, we documented that clinicians often have more than one reason in each case for not intervening.

There was some evidence supporting "clinical inertia."^32,33 Follow-up appointments were often set farther in the future than needed to see the effect of an intervention, and physicians were willing to accept slow progress over prolonged periods of time. Ferrari and colleagues found that physicians tended to base their interventions as much on how far the BP had been reduced from baseline as on specific BP targets,³⁴ and that seemed to hold true for our physicians. Given the lack of information on the relative impact of incremental reductions of BP in higher versus lower ranges, this approach may or may not be reasonable.

In more than a third of patient encounters, physician or patient-perceived cost of medications was one of the reasons given for suboptimal BP control. This rate may be higher than in the general primary care population, because several of the participating physicians worked in practices with larger than average numbers of low-income and underinsured patients (eg, academic and community health centers). Patient nonadherence could not, of course, be verified, but physicians generally listed specific plausible reasons or examples (eg, alcoholism, dementia, etc). In addition, our study reflects more stringent guidelines (<130/80; deviance at a single office visit) than previous studies, so our results may reflect more significant barriers to achieving control at this level.

Jaen, Barnes, Stange, Zyzanski and others have documented that competing demands are common in primary care practice,^35–38 and so we were a little surprised that this reason was mentioned as a factor in only 13.7% of the cases. It is possible that physicians were reluctant to mention it, believing that it was less acceptable than other explanations, or it may be related to the physician and patient populations studied. On the other hand, confusion related to co-management was much more frequent than previously reported.

Failure to address elevated BPs was not usually the result of unfamiliarity or disagreement with the guidelines, and although we were unable to fully judge the clinical legitimacy of the reasons given for nonintervention, many had substantial face validity. For example, limited treatment options were noted in 64% of cases. For these patients, either the cost of the medicine often combined with lack of insurance, adverse effects of prior medications, or comorbidities limited the physician’s ability to provide the care he or she would have liked to have provided.

In almost 60% of cases, the BP measurement itself was felt to be suspect for a variety of reasons including inconsistency with previous office readings or home monitoring. Because this reason had not been reported by others, it was somewhat unexpected, although it has substantial face validity for practicing physicians. The concern physicians’ expressed about changing medication based on a single BP measure was not considered in the Phillips et al tripartite description of clinical inertia.²¹

The strengths of this study are its qualitative design, which made it possible to get a more complete view of physician decision making, randomized selection of physicians, diversity of the settings in which participating physicians practiced, and that we were able to interview physicians within 2 weeks of the encounters. Weaknesses include the relatively small numbers of physicians and patients involved and the fact that the physician participants were all members of a practice-based research network. The interviews were also relatively brief and highly structured making it difficult to achieve substantial depth of analyses.

As with any qualitative study, bias could also have been introduced because of selection bias, during the interviews, or during data analysis. The study included a relatively small number of physicians all practicing in Oklahoma. Nearly half practiced in teaching settings. Participating physicians did not seem to be reluctant to talk with the interviewer, a 2nd year medical student. All believed themselves able to be open and honest in their assessment of their performance, and all were committed to producing accurate, reliable data for the study. However, it is still possible that they avoided negative self-assessments. The use of 4 independent coders and requirement for consensus probably minimized analysis bias, but given that all 4 worked in primary care settings, their judgments may have been influenced by the belief that physicians are often criticized unfairly for not following guidelines.

Physicians can do a much better job of controlling BP in diabetic patients.³⁴ Future research should evaluate newer models of chronic disease management (eg, chronic care model) as a way to increase adherence to agreed upon standards. A greater emphasis on BP control at a health systems level (eg, through pay-for-performance) could certainly have some influence over physician and patient behavior. Closer linkages between primary care practices and community resources might reduce some financial barriers and improve adherence to lifestyle modifications. More support for patient self-management could transfer more of the responsibility to patients and assure that a greater percentage monitor their BPs at home. Clinical information systems could be used to conduct periodic audits with feedback and reminders, and electronic decision support systems could keep the recommendations in front of the physician and patient. Practice design changes such as greater involvement of physician extenders and cluster and group visits for diabetic patients could make care more predictable and systematic, and greater use of newer automated office and home BP measurement approaches should reduce variability and increase physician confidence in the results.³⁹ All these approaches will require additional resources. As a society we need to insure that cost isn’t such a significant factor in determining the quality of health care available. Primary care office visits should be reimbursed well enough to allow time for all health issues to be addressed.

Evidenced-based recommendations for BP control in diabetics serve as a valuable guide but do not fit all patients or all clinical scenarios.⁴⁰ We discovered that, in most cases, the decision not to intervene had a great deal to do with that particular patient’s unique situation at a particular point in time. If converted into quality indicators, primary care physicians might be encouraged to do the wrong thing for some of their patients.^41,42 Alternatively, physicians might become more selective in their acceptance of new patients, and complex and challenging patients may have even greater difficulty finding physicians.^42–44 Having said this, controlling BP in appropriate patients with diabetes mellitus is one of the most effective ways to prevent premature death and disability. We just need to make sure that our quality assessment methods are robust enough to account for legitimate reasons for deviations from standards.

Future research should therefore focus both on understanding the perspectives of both physicians and patients in the decision-making process and on ways to more accurately access quality of care as it relates to patient-oriented outcomes. In both regards, a great deal of qualitative research remains to be done.

	Acknowledgments

 
We acknowledge the assistance of our staff in preparing the manuscript and to the physicians and their staff who took time out of their busy schedules to participate in our study.

	Notes

Top Notes Abstract Research Design and Methods Results Discussion References

 
Funding: This project was funded by the Department of Family and Preventive Medicine, University of Oklahoma Health Sciences Center as a project of the Family Medicine Summer Research Experience.

Conflict of interest: none declared.

This study was presented at a Research Conference, Department of Family and Community Medicine, Baylor College of Medicine, Houston, TX, March 2005.

Received for publication July 12, 2005. Revision received September 21, 2005. Accepted for publication September 30, 2005.

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Top Notes Abstract Research Design and Methods Results Discussion References

 

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