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Biomedical subjects

Leif I Solberg

Publications and source records attributed to Leif I Solberg.

At least 55 records · Page 3Linked to original sources
PubMed2002

Physician smoking-cessation actions: are they dependent on insurance coverage or on patients?

BACKGROUND: Despite good evidence that their smoking-cessation actions can be very effective, physicians have not consistently used the 5A actions (being asked, advised, assessed, assisted, and arranged) recommended in the U.S. Public Health Service tobacco guidelines. We tested the hypothesis that the introduction of coverage for smoking-cessation pharmacotherapy by the health plans covering most of the population in one region would increase physician use of 5A's. METHODS: A cohort of smoking members of two health plans was surveyed before and after the introduction of coverage for smoking cessation. A total of 1560 current smokers with a physician visit in the last year responded to both surveys. The key outcome measures were smoker reports of the guideline 5As for smoking-cessation support during the last physician visit. RESULTS: There were small significant absolute percentage increases only for reports of being assessed (+4.9%, p=0.01) and assisted (set quit date +6.5%, p=0.0004); encouraged to use medications (+8.8%, p=0.03); and given a prescription (+8.6%, p=0.0005). However, these increases were limited to smokers reporting awareness of the coverage, asking for quitting help, or both. CONCLUSION: Coverage for pharmacotherapy alone appears to have had no effect on physician behavior beyond that stimulated by smokers who were aware of the coverage, perhaps because they raised the issue. More research is needed on this suggestion that patients create physician behavior change.

Chi-Square Distribution↗
PubMed2002

Nonresponse bias: does it affect measurement of clinician behavior?

BACKGROUND: Previous studies of nonresponders have not assessed the effects of nonresponse on the accuracy of clinician behavior measurements. Knowledge of these effects is critical to both research and quality improvement. OBJECTIVE: To evaluate the hypothesis that nonresponders to a survey would not adversely affect the ability to measure rates of preventive services. RESEARCH DESIGN: Four primary-care medical practices participating in a randomized clinical trial provided an unusual opportunity to compare the medical record-documented care of both responders and nonresponders to a survey of their patients. SUBJECTS: Three hundred forty-five nonresponders and 321 responders to a questionnaire requesting participation in the study. MEASURES: Differences in patient characteristics and diseases and documentation of screening and management of tobacco use, hypertension, and hypercholesterolemia. RESULTS: Although the survey process resulted in a response rate of only 52.5% and some statistically significant differences in responder and nonresponder characteristics, there were no differences in management behavior regarding cardiovascular risk factors. Responders were more likely to have adjusted documentation of tobacco use (OR = 1.4), blood pressure measurement (OR = 9.8), and cholesterol testing (OR = 2.0), but not family history of cardiovascular disease. The most striking difference in subject characteristics was that 22.0% of nonresponders and only 12.1% of responders were tobacco users (P = 0.002). CONCLUSIONS: This study confirms that survey nonresponders may have some different characteristics and risk factor screening rates than responders. However, if confirmed by others, nonresponders who have risk factors identified may not be managed differently than responders.

Adult↗
PubMed2002

Is quality free? The relationship between cost and quality across 18 provider groups.

OBJECTIVE: To learn whether the healthcare costs for patients of various care delivery systems are associated with the quality of ambulatory care received. Despite intense interest in the cost and quality of healthcare delivery in the United States, there have been relatively few studies of the relationship between those measures, and none have addressed the relationship for integrated care delivery systems. STUDY DESIGN: Results of a retrospective analysis of claims records for overall costs of care for enrollees of 18 care delivery systems were compared with a variety of quality measures for each system. PATIENTS AND METHODS: We analyzed the yearly (1996-1998) claims records of 110,000 to 150,000 employees and dependents of member companies of an employer coalition in Minnesota that received all of their medical services from 18 care systems that had at least 1,000 employees and dependents. Overall case-mix and inflation-adjusted costs of care for enrollees of each care system were compared with 21 ambulatory care process-oriented quality indicators covering 3 chronic diseases and 5 preventive services. RESULTS: Regardless of whether the unit of analysis was the care system or the individual enrollee, there was no evidence of a consistent relationship between overall cost of care and quality on any measures. The little association there was tended to suggest that higher quality was provided by the lowest-cost care systems. CONCLUSION: Although additional confirmatory research is needed, this analysis of the quality-cost relationship provides some reassurance for those who question whether selecting lower-cost sources of medical care might have a negative effect on quality of care.

Adult↗
PubMedDate not supplied

Large multispecialty group practices and quality improvement: what is needed to transform care?

The objective of this study was to use successful quality improvement initiatives in large multispecialty medical groups to identify the organizational factors that were the most important to improvement. The study analyzed the most successful quality improvement initiatives from those submitted by the 24 members of the Council of Accountable Physician Practices. Twelve initiatives from 8 groups were selected that met the study criteria for large improvement for large numbers of patients. An independent group used these initiatives to identify potentially important factors and then asked key local leaders to rate the importance of these factors on a scale of 1 to 4, importance rating (1-4 scale) for each of 18 identified factors. Eighteen factors were identified and 5 stood out as ranked a 4 (Very Important) for at least 80% of the initiatives: Communication, Use of Evidence-Based Medicine, Leadership, Measurement, and Reporting. Another 7 of the 18 factors were ranked a 4 for more than 50% of the initiatives. All the factors are related to the 6 challenges in the Institute of Medicine report. It was concluded that any organization striving to greatly improve the quality of its healthcare delivery should consider these factors when planning improvement initiatives.

Group Practice↗
PubMedDate not supplied

Are claims data accurate enough to identify patients for performance measures or quality improvement? The case of diabetes, heart disease, and depression.

The objective of this study was to demonstrate a method to accurately identify patients with specific conditions from claims data for care improvement or performance measurement. In an iterative process of trial case definitions followed by review of repeated random samples of 10 to 20 cases for diabetes, heart disease, or newly treated depression, a final identification algorithm was created from claims files of health plan members. A final sample was used to calculate the positive predictive value (PPV). Each condition had unacceptably low PPVs (0.20, 0.60, and 0.65) when cases were identified on the basis of only 1 International Classification of Diseases, ninth revision, code per year. Requiring 2 outpatient codes or 1 inpatient code within 12 months (plus consideration of medication data for diabetes and extra criteria for depression) resulted in PPVs of 0.97, 0.95, and 0.95. This approach is feasible and necessary for those wanting to use administrative data for case identification for performance measurement or quality improvement.

Depression↗
PubMedDate not supplied

Ambulatory care quality measures for the 6 aims from administrative data.

Pressure is building for performance measures that can be collected inexpensively and repeatedly for internal and external accountability and quality improvement. The objective of this study was to develop and test measures obtainable from administrative data covering each of the Institute of Medicine's (IOM) 6 aims. Measure definitions were developed for 3 common chronic conditions and were revised after testing the feasibility of collecting them from claims data. The setting was a large, multispecialty medical group in the Midwest and included all adult patients with diabetes, coronary heart disease, or depression. Problems identified in the original 99 measures led to refinements or elimination. The resulting 46 measures ready for use include 11 measures for 5 aims applicable to most common chronic conditions, plus 10 to 14 effectiveness measures for each condition. They have been successfully used to describe care quality changes for these patients over time. This starter set for the 6 IOM aims should be tested and expanded by others.

Ambulatory Care↗
PubMedDate not supplied

Diabetic patients who smoke: are they different?

BACKGROUND: We wanted to identify differences between diabetic patients who smoke and those who do not smoke to design more effective strategies to improve their diabetes care and encourage smoking cessation. METHODS: A random sample of adult health plan members with diabetes were mailed a survey questionnaire, with telephone follow-up, asking about their attitudes and behaviors regarding diabetes care and smoking. Among the 1,352 respondents (response rate 82.4%), we found 188 current smokers whose answers we compared with those of 1,264 nonsmokers, with statistical adjustment for demographic characteristics and duration of diabetes. RESULTS: Smokers with diabetes were more likely to report fair or poor health (odds ratio [OR] = 1.5, P = .03) and often feeling depressed (OR = 1.7, P = .004). Relative to nonsmokers, smokers had lower rates of checking blood glucose levels, were less physically active, and had fewer diabetes care visits, glycated hemoglobin (A1c) tests, foot examinations, eye examinations, and dental checkups (P < or = .01). Smokers also reported receiving and desiring less support from family and friends for specific diabetic self-management activities and had lower readiness to quit smoking than has been observed in other population groups. CONCLUSIONS: Clinicians should be aware that diabetic patients who smoke are more likely to report often feeling depressed and, even after adjusting for depression, are less likely to be active in self-care or to comply with diabetes care recommendations. Diabetic patients who smoke are special clinical challenges and are likely to require more creative and consistent clinical interventions and support.

Comorbidity↗
PubMedDate not supplied

Is making smoking status a vital sign sufficient to increase cessation support actions in clinical practice?

BACKGROUND: There is widespread belief that adding smoking status to the list of vital signs in medical practice will lead to an increased likelihood that physicians will offer more cessation support for smokers during office visits. This article evaluates the impact of introducing routine use of smoking status as a vital sign on clinician cessation support in a primary care setting. METHODS: A total of 429 adult health plan members who were smokers and recent quitters from 2 primary care clinics in Minneapolis, Minn, were administered a 28-item questionnaire by telephone. The instrument included questions about patient health status, smoking status, advice about smoking, clinic actions during the most recent visit, satisfaction with clinic actions, and intention to change smoking. Comparisons were made with a cohort of smoking patients before and after smoking status was used as a vital sign, using 2-tailed t tests for continuous variables and chi-square analysis for categorical variables. RESULTS: Patient self-report of receiving advice about smoking in the past year (about 66%) was unchanged after smoking status was implemented as a vital sign. Medical chart documentation of tobacco use increased from 38.0% to 78.4% of all encounters, whereas documentation of advice about smoking decreased from 33.5% to 18.8%. Except for identification of tobacco use before implementation of the guideline, none of the specific activities recommended in the guideline occurred at very high levels. CONCLUSION: Implementing smoking status as a vital sign appears to have increased the documentation of tobacco use but had little effect on specific implementation actions. Overall, the findings suggest that more consistent identification of tobacco use alone will not lead to guideline-recommended changes in cessation support actions by clinicians. Greater environmental changes will be needed if tobacco guideline goals are to be achieved.

Adult↗
PubMedDate not supplied

Transforming medical care: case study of an exemplary, small medical group.

PURPOSE: Most published descriptions of organizations providing or improving quality of care concern large medical groups or systems; however, 90% of the medical care in the United States is provided by groups of no more than 20 physicians. We studied one such group to determine the organizational and cultural attributes that seem related to its achievements in care quality. METHODS: A 15-family physician medical group was identified from comparative public performance scores of 27 medical groups providing most of the primary care in our metropolitan area. Semistructured interviews were conducted with diverse personnel in this group, operations were observed, and written documents were reviewed. Four primary care physician researchers and a consultant then reviewed transcriptions, field notes, and materials during semistructured sessions to identify the main attributes of this group and their probable origins. RESULTS: This medical group ranked first in a composite measure of preventive services and fourth and sixth, respectively, in composite scores for coronary artery disease and diabetes care. Our analysis identified 12 attributes of this group that seemed to be associated with its good care quality, with patient-centeredness being the foundational attribute for most of the others. Historical factors important to most of these attributes included small size, physician ownership, and a high value on practice consistency among the clinicians in the group. CONCLUSIONS: The identified 12 attributes of this medical group seem to be associated with its superior care quality, and most of them might be replicable by other small groups if they choose to work toward that end.

Data Collection↗
PubMedDate not supplied

Effect of improved primary care access on quality of depression care.

PURPOSE: We wanted to determine whether a major improvement in access to primary care during 2000 was associated with changes in the quality of care for patients with depression. METHODS: Health plan administrative data were analyzed by multilevel regression to compare the quality of care received by patients with depression between 1999 and 2001, a time without major changes in depression care guidelines. Approximately 6,000 patients with depression who received all care in a large multispecialty medical group during any single year were subjects for this study. Thirteen different quality measures assessed process quality under the dimensions of effectiveness, timeliness, safety, and patient-centeredness. RESULTS: The largest change was a reduction in the proportion of depressed patients with no follow-up visit in primary care after starting a new antidepressant medication: from 33.0% before a change in access to care to 15.4% afterward, P =.001. During the same period, continuity of care in primary care improved (>50% of primary care visits to 1 doctor increased from 67.3% to 74.0%, P = or <.001), as did persistence of 6-month antidepressant medication (from 46.2% to 50.8%, P = or <.001). Further analyses found that the latter change was primarily associated with the change in continuity of care. Measures of subspecialty mental health care worsened during this time. CONCLUSION: Marked improvement in access to primary care for 1 year was associated with some improvement in primary care for patients with depression, but the mechanism appeared to be improved continuity. Those planning to implement advanced access to care need to do so in such a way that continuity of care is enhanced rather than harmed by the change.

Adult↗
PubMedDate not supplied

Challenges of change: a qualitative study of chronic care model implementation.

PURPOSE: The Chronic Care Model (CCM) provides a conceptual framework for transforming health care for patients with chronic conditions; however, little is known about how to best design and implement its specifics. One large health care organization that tried to implement the CCM in primary care provided an opportunity to study these issues. METHODS: We conducted a qualitative, comparative case study of 5 of 18 group clinics 18 to 23 months after the implementation began. Built on knowledge of the clinics from a previous study of advanced access implementation, data included in-depth interviews with organizational leaders and varied clinic personnel, observation of clinic care processes, and review of written materials. RESULTS: Relatively small and highly variable care process changes were made during the study period. The change process underwent several marked shifts in strategy when initial efforts failed to achieve much and bore little resemblance to the change process used in the previously successful large-scale implementation of advanced access scheduling. Many barriers were identified, including too many competing priorities, a lack of specificity and agreement about the care process changes desired, and little engagement of physicians. CONCLUSION: These findings highlight specific organizational challenges with health care transformation in the absence of a blueprint more specific than the CCM. Effective models of organizational change and detailed examples of proven, feasible care changes still need to be demonstrated if we are to transform care as called for by the Institute of Medicine.

Ambulatory Care Facilities↗
PubMedDate not supplied

Care quality and implementation of the chronic care model: a quantitative study.

PURPOSE: We wanted to test whether improvements in care quality were correlated with changes in the Chronic Care Model (CCM) in a large medical group that attempted to implement the CCM. METHODS: The leaders of 17 primary care clinics in this medical group completed the Assessing Chronic Illness Care (ACIC) survey measure of CCM implementation before and after care system changes were made. We used administrative data to measure care quality changes for yearly samples of patients with diabetes, coronary heart disease, or depression. RESULTS: The total ACIC score for the CCM increased by an overall average of 1.4 points (from 5.8 to 7.2 on a scale of 1 to 11, P = .02) and significant increases occurred for 3 of the 6 components of the CCM. During this time, patients experienced a significant increase in the proportion meeting a composite outcome measure for low-density lipoprotein (LDL) and glycated hemoglobin levels (from 15.7% to 25.5%, P = .001). Heart disease patients meeting a composite measure for LDL values increased from 46.8% to 57.8%, and the percentage of patients with 1 or more cardiac events dropped from 17.2% to 11.4% (P = .001 for each). Persistent use of new antidepressants did not change, but more of these patients had follow-up visits (P = .02). Only the diabetes measure was significantly correlated with 2 CCM elements-clinical information systems and decision support. CONCLUSION: Despite implementation of the CCM and improvements in quality measures for 3 chronic diseases, there were few significant correlations between these changes. Showing such a relationship may require larger changes, a larger number of clinics, changes in other CCM elements, or a more-sensitive measurement tool.

Ambulatory Care Facilities↗
PubMedDate not supplied

Cost and quality trends in direct contracting arrangements.

This paper presents the first empirical analysis of a 1997 initiative of the Buyers Health Care Action Group (BHCAG) known as Choice Plus. This initiative entailed direct contracts with provider-controlled delivery systems; annual care system bidding; public reports of consumer satisfaction and quality; uniform benefits; and risk-adjusted payment. After case-mix adjustment, hospital costs decreased, ambulatory care costs rose modestly, and pharmacy costs increased substantially. Process-oriented quality indicators were stable or improved. The BHCAG employer-to-provider direct contracting and consumer choice model appeared to perform reasonably well in containing costs, without measurable adverse effects on quality.

Consumer Behavior↗
PubMedDate not supplied

Does insurance coverage for drug therapy affect smoking cessation?

Whether insurance coverage for smoking-cessation medicines increases quitting rates is uncertain. In this paper we evaluate the overall effect of a new health plan pharmacy benefit on the use of pharmacotherapy, attempts to quit, and quitting rates. The presence of a smoking-cessation pharmacy benefit as implemented by these health plans produced no change in the use of bupropion, nicotine patches, or nicotine gum, nor did it result in higher rates of quitting smoking. Further studies are needed to test whether greater efforts to make smokers aware of insurance benefits or adding other types of cessation support might lead to any beneficial effects.

Adult↗
PubMedDate not supplied

Follow-up and follow-through of depressed patients in primary care: the critical missing components of quality care.

Certainly we could improve our identification, diagnosis, and initial treatment approaches to the large numbers of depressed patients we see in primary care. However, until we have established the kind of systematic follow-up and follow-through that the US Preventive Services Task Force said is a prerequisite for its recommendation to routinely screen for depression, none of these earlier actions will make much difference. Recently, a number of controlled trials of innovative approaches to care management have demonstrated clearly how much patient outcomes are improved when systematic follow-up is in place. The problem is that there are few examples of such systems in real clinical practices. This article describes the main components of such a systematic approach.

Chronic Disease↗
PubMedDate not supplied

Physician-patient interaction for smoking cessation medications: a dance of mutual accommodation?

OBJECTIVE: To study physician-smoker interactions around the receipt of smoking cessation medication prescriptions to better understand the low rates of reported assistance and follow-up. METHODS: A stratified random sample of smokers recently filling prescriptions for cessation medications was identified for a phone interview about the quitting experience. The transcriptions of those portions of 50 interviews that addressed cessation contacts with clinicians were reviewed by the co-authors and analyzed for quantifiable data, observations, and themes. RESULTS: Although there were low levels of reported physician adherence to the Assist and Arrange recommendations of the Public Health Service 5As clinical guideline for smoking cessation, 27 (55%) of these smokers were quit at 1 to 3 months after the medication fill. Smoker descriptions of the contacts with their physicians about smoking cessation suggested nonconfrontational, collaborative, and satisfying interactions that were flexibly dominated by either party. Physician assistance predominantly concerned use of the medication (66%). CONCLUSIONS: These physician-smoker interactions seemed to be mutually accommodative. Given the apparent high quit rates and limited evidence of smoker interest in other forms of assistance, perhaps a physician-dominant encounter is not as common or as necessary as has been thought.

Adult↗
PubMedDate not supplied

Does a health plan effort to increase smokers' awareness of cessation medication coverage increase utilization and cessation?

PURPOSE: To test whether a mailing describing new coverage for smoking cessation medications increases benefit knowledge, utilization, and quitting. METHODS: This randomized controlled trial assigned participants to benefit communication via (1) standard contract changes or (2) enhanced communication with direct-to-member postcards. A sample of 1930 self-identified smokers from two Minnesota health plans took surveys before and 1 year after the benefit's introduction. The follow-up response rate was 80%. A multilevel logistic estimator tested for differences in benefit knowledge and smoking behavior from baseline. RESULTS: More enhanced than standard communication respondents knew about the benefit (39.0% vs. 22.2%, p < .0001) at follow-up. Groups did not differ on bupropion utilization (24.6% vs. 23.1%, p = .92); nicotine replacement therapy utilization (26.9% vs. 25.9%, p = .26), or cessation (12.8% vs. 15.6%, p = .32). CONCLUSION: Although limited by the low intervention intensity and potential social desirability bias, information about new coverage alone does not appear to increase quitting behaviors.

Adult↗