Sources of variation in physician adherence with clinical guidelines: results from a factorial experiment.
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ABSTRACT:
SUBMITTER: McKinlay JB
PROVIDER: S-EPMC1824760 | biostudies-other | 2007 Mar
REPOSITORIES: biostudies-other
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Project description:BackgroundBecause of internet searches, advice from friends, and pharmaceutical advertising, especially direct-to-consumer advertising, patients are increasingly activated to request medications during a physician encounter.ObjectivesTo estimate the effect of patient requests for medications on physician-prescribing behavior, unconfounded by patient, physician, and practice-setting factors.Research designTwo experiments were conducted among 192 primary care physicians, each using different video-based scenarios: an undiagnosed "patient" with symptoms strongly suggesting sciatica, and a "patient" with already diagnosed chronic knee osteoarthritis. Half of patients with sciatica symptoms requested oxycodone, whereas the other half requested something to help with pain. Similarly, half of knee osteoarthritis patients specifically requested celebrex and half requested something to help with pain.SubjectsTo increase generalizability and ensure sufficient numbers were available, we recruited 192 primary care physicians from 6 US states.MeasuresThe primary outcome was whether physicians would accede to a patient's request for a medication. Alternative pain medications prescribed were secondary outcomes.Results19.8% of sciatica patients requesting oxycodone would receive a prescription for oxycodone, compared with 1% of those making no specific request (P = 0.001). Fifty-three percent of knee osteoarthritis patients requesting celebrex would receive it, compared with 24% of patients making no request (P = 0.001). Patients requesting oxycodone were more likely to receive a strong narcotic (P = 0.001) and less likely to receive a weak narcotic (P = 0.01). Patients requesting celebrex were much less likely to receive a nonselective nonsteroidal anti-inflammatory drugs (P = 0.008). No patient attributes, physician, or organizational factors influenced a physician's willingness to accede to a patient's medication request.ConclusionsIn both scenarios, activated patient requests for a medication substantially affected physician-prescribing decisions, despite the drawbacks of the requested medications.
| S-EPMC4151257 | biostudies-literature
Project description:ObjectiveThe aim of the study was to survey obstetrician-gynecologists' cervical cancer screening practices and management of cervical abnormalities to ascertain adherence to guidelines.MethodsFrom January to July 2019, obstetrician-gynecologists at 5 St. Louis area hospitals were surveyed online about cervical cancer screening and management practices through 13 clinical vignettes. Survey scores and the American Society of Colposcopy and Cervical Pathology (ASCCP) app use were compared using Mann-Whitney tests.ResultsWhen screening 30- to 65-year-old participants, 114 (98%) of the 116 total participants used co-testing, but only 71 (61%) screened at 5-year intervals. None used primary human papillomavirus (HPV) testing. For 21- to 29-year-old participants, 17 (15%) screened with annual cytology, whereas 14 (12%) used annual or every 3-year co-testing. Forty eight (41%) screened younger than 21 years, regardless of risk factors or only if immunocompromised. Eleven (9%) continued screening after total hysterectomy for benign indications. Only 2 (2%) responded to all clinical vignettes in adherence to guidelines. More than 30% of participants would pursue unnecessary HPV testing and/or loop electrosurgical excision procedure for persistent low-grade cytology. Fifty eight (48%) incorrectly reported hysterectomy as management for adenocarcinoma in situ on biopsy. Participants would undertreat young women with high-grade abnormalities including high-grade squamous intraepithelial lesion/cervical intraepithelial neoplasia 3 (48, 41%) and high-grade squamous intraepithelial lesion/cervical intraepithelial neoplasia 1 (65, 56%). Forty one (35%) reported exiting women from screening prematurely. The median score for participants using the ASCCP app was significantly greater than those who did not (79% vs 71%, p = .002).ConclusionsMidwestern obstetrician-gynecologists' adherence to the guidelines for cervical cancer screening and management of abnormal results is suboptimal. Although co-testing for women aged 30-65 years has been broadly adopted, primary HPV testing has not. Physicians overscreen, overtreat low-grade lesions, and undertreat high-grade lesions in young women.
| S-EPMC7673488 | biostudies-literature
Project description:BackgroundColorectal cancer is a significant cause of mortality and morbidity in western countries. Polypectomy reduces the incidence and mortality of colorectal cancer. Following polypectomy, recommendations regarding the frequency and duration of surveillance rely mostly on features of the resected polyps and are summarized in various gastroenterological societal guidelines. In this study, we aimed to delineate the accuracy of current post-polypectomy surveillance recommendations and to check whether active intervention would lead to an improvement in accuracy and consistency with societal guidelines.MethodsWe prospectively collected polypectomy reports over a 3-month period in 2 tertiary medical centers. We then performed an intervention that included: 1) presentation of results from 1st phase; 2) re-affirming the guidelines in a departmental meeting; 3) addition of a dedicated reporting form for post-polypectomy surveillance recommendations in the patients' electronic medical file. Finally, we conducted a second prospective collection of post-polypectomy recommendations, over a second 3-month period.ResultsPrior to the intervention, 76% of the colonoscopies with polypectomy had a recommendation for surveillance, compared to 85% after the intervention (P=0.003). Prior to the intervention, 65% of patients received a recommendation consistent with societal guidelines, compared with 78% after the intervention (P=0.001).ConclusionIntervention, including re-affirmation of the current guidelines and creation of a dedicated reporting platform, significantly increases the number of follow-up recommendations after polypectomy and their consistency with societal guidelines.
| S-EPMC7406819 | biostudies-literature
Project description:BackgroundThe development of tobacco use treatments that are effective for all smokers is critical to improving clinical and public health. The Multiphase Optimization Strategy (MOST) uses highly efficient factorial experiments to evaluate multiple intervention components for possible inclusion in an optimized tobacco use treatment. Factorial experiments permit analyses of the influence of patient characteristics on main and interaction effects of multiple, relatively discrete, intervention components. This study examined whether person-factor and smoking characteristics moderated the main or interactive effects of intervention components on 26-week self-reported abstinence rates.MethodsThis fractional factorial experiment evaluated six smoking cessation intervention components among primary care patients (N=637): Prequit Nicotine Patch vs. None, Prequit Nicotine Gum vs. None, Preparation Counseling vs. None, Intensive Cessation In-Person Counseling vs. Minimal, Intensive Cessation Telephone Counseling vs. Minimal, and 16 vs. 8 Weeks of Combination Nicotine Replacement Therapy (NRT; nicotine patch+nicotine gum).ResultsBoth psychiatric history and smoking heaviness moderated intervention component effects. In comparison with participants with no self-reported history of a psychiatric disorder, those with a positive history showed better response to 16- vs. 8-weeks of combination NRT, but a poorer response to counseling interventions. Also, in contrast to light smokers, heavier smokers showed a poorer response to counseling interventions.ConclusionsHeavy smokers and those with psychiatric histories demonstrated a differential response to intervention components. This research illustrates the use of factorial designs to examine the interactions between person characteristics and relatively discrete intervention components. Future research is needed to replicate these findings.
| S-EPMC5263119 | biostudies-literature
Project description:Principles of treat-to-target (T2T) have been widely adopted in both multinational and regional guidelines for rheumatoid arthritis (RA). Several questionnaire studies among physicians and real-world data have suggested that an evidence-practice gap exists in RA management. Investigating physician adherence to T2T, which requires a process measure, is difficult. Different practice patterns among physicians are observed, while adherence to protocolized treatment declines over time. Rheumatologist awareness, agreement, and claims of adherence to T2T guidelines are not always consistent with medical records. Comorbidities, a difficult disease course, communication barriers, and individual preferences may hinder an intensive, proactive treatment stance. Interpreting deviations from protocolized treatment/T2T guidelines requires sufficient clinical context, though higher adherence seems to improve clinical outcomes. Nonmedical constraints in routine care may consist of barriers in healthcare structure and socioeconomic factors. Therefore, strategies to improve the institution of T2T should be tailored to local healthcare. Educational interventions to improve T2T adherence among physicians may show a moderate, although beneficial effect. Meanwhile, a proportion of patients with inadequately controlled RA exists, while management decisions may not be in accordance with T2T. Physicians tend to be aware of current guidelines, but their institution in routine practice seems challenging, which warrants attention and further study.
| S-EPMC6780913 | biostudies-literature
Project description:To identify styles of physician decision making (as opposed to singular clinical actions) and to analyze their association with variations in the management of a vignette presentation of coronary heart disease (CHD).Primary data were collected from primary care physicians in North and South Carolina.In a balanced factorial experimental design, primary care physicians viewed one of 16 (2(4)) video vignette presentations of CHD and provided detailed information about how they would manage the case.256 MD primary care physicians were interviewed face-to-face in North and South Carolina.We identify three clusters depicting unique styles of CHD management that are robust to controls for physician (gender and level of experience) and patient characteristics (age, gender, socioeconomic status, and race) as well as key organizational features of physicians' work settings. Physicians in Cluster 1 "Cardiac" (N = 92) were more likely to focus on cardiac issues compared with their counterparts; physicians in Cluster 2 "Talkers" (N = 93) were more likely to give advice and take additional medical history; whereas physicians in Cluster 3 "Minimalists" (N = 71) were less likely than their counterparts to take action on any of the types of management behavior.Variations in styles of decision making, which encompass multiple outcome variables and extend beyond individual-level demographic predictors, may add to our understanding of disparities in health quality and outcomes.
| S-EPMC3681246 | biostudies-literature
Project description:Factorial experimental designs have many applications in the behavioral sciences. In the context of intervention development, factorial experiments play a critical role in building and optimizing high-quality, multicomponent behavioral interventions. One challenge in implementing factorial experiments in the behavioral sciences is that individuals are often clustered in social or administrative units and may be more similar to each other than to individuals in other clusters. This means that data are dependent within clusters. Power planning resources are available for factorial experiments in which the multilevel structure of the data is due to individuals' membership in groups that existed before experimentation. However, in many cases clusters are generated in the course of the study itself. Such experiment-induced clustering (EIC) requires different data analysis models and power planning resources from those available for multilevel experimental designs in which clusters exist prior to experimentation. Despite the common occurrence of both experimental designs with EIC and factorial designs, a bridge has yet to be built between EIC and factorial designs. Therefore, resources are limited or nonexistent for planning factorial experiments that involve EIC. This article seeks to bridge this gap by extending prior models for EIC, developed for single-factor experiments, to factorial experiments involving various types of EIC. We also offer power formulas to help investigators decide whether a particular experimental design involving EIC is feasible. We demonstrate that factorial experiments can be powerful and feasible even with EIC. We discuss design considerations and directions for future research. (PsycINFO Database Record
| S-EPMC5630520 | biostudies-literature
Project description:The annual incidence of pulmonary nodules is estimated at 1.57 million. Guidelines recommend using an initial assessment of nodule probability of malignancy (pCA). A previous study found that despite this recommendation, physicians did not follow guidelines.Physician assessments (N = 337) and two previously validated risk model assessments of pretest probability of cancer were evaluated for performance in 337 patients with pulmonary nodules based on final diagnosis and compared. Physician-assessed pCA was categorized into low, intermediate, and high risk, and the next test ordered was evaluated.The prevalence of malignancy was 47% (n = 158) at 1 year. Physician-assessed pCA performed better than nodule prediction calculators (area under the curve, 0.85 vs 0.75; P < .001 and .78; P = .0001). Physicians did not follow indicated guidelines when selecting the next test in 61% of cases (n = 205). Despite recommendations for serial CT imaging in those with low pCA, 52% (n = 13) were managed more aggressively with PET imaging or biopsy; 12% (n = 3) underwent biopsy procedures for benign disease. Alternatively, in the high-risk category, the majority (n = 103 [75%]) were managed more conservatively. Stratified by diagnosis, 92% (n = 22) with benign disease underwent more conservative management with CT imaging (20%), PET scanning (15%), or biopsy (8%), although three had surgery (8%).Physician assessment as a means for predicting malignancy in pulmonary nodules is more accurate than previously validated nodule prediction calculators. Despite the accuracy of clinical intuition, physicians did not follow guideline-based recommendations when selecting the next diagnostic test. To provide optimal patient care, focus in the areas of guideline refinement, implementation, and dissemination is needed.
| S-EPMC6026222 | biostudies-other
Project description:BACKGROUND:Smoking remains a leading cause of preventable death and illness. Internet interventions for smoking cessation have the potential to significantly impact public health, given their broad reach and proven effectiveness. Given the dose-response association between engagement and behavior change, identifying strategies to promote engagement is a priority across digital health interventions. Text messaging is a proven smoking cessation treatment modality and a powerful strategy to increase intervention engagement in other areas of health, but it has not been tested as an engagement strategy for a digital cessation intervention. OBJECTIVE:This study examined the impact of 4 experimental text message design factors on adult smokers' engagement with an internet smoking cessation program. METHODS:We conducted a 2×2×2×2 full factorial screening experiment wherein 864 participants were randomized to 1 of 16 experimental conditions after registering with a free internet smoking cessation program and enrolling in its automated text message program. Experimental factors were personalization (on/off), integration between the web and text message platforms (on/off), dynamic tailoring of intervention content based on user engagement (on/off), and message intensity (tapered vs abrupt drop-off). Primary outcomes were 3-month measures of engagement (ie, page views, time on site, and return visits to the website) as well as use of 6 interactive features of the internet program. All metrics were automatically tracked; there were no missing data. RESULTS:Main effects were detected for integration and dynamic tailoring. Integration significantly increased interactive feature use by participants, whereas dynamic tailoring increased the number of features used and page views. No main effects were found for message intensity or personalization alone, although several synergistic interactions with other experimental features were observed. Synergistic effects, when all experimental factors were active, resulted in the highest rates of interactive feature use and the greatest proportion of participants at high levels of engagement. Measured in terms of standardized mean differences (SMDs), effects on interactive feature use were highest for Build Support System (SMD 0.56; 95% CI 0.27 to 0.81), Choose Quit Smoking Aid (SMD 0.38; 95% CI 0.10 to 0.66), and Track Smoking Triggers (SMD 0.33; 95% CI 0.05 to 0.61). Among the engagement metrics, the largest effects were on overall feature utilization (SMD 0.33; 95% CI 0.06 to 0.59) and time on site (SMD 0.29; 95% CI 0.01 to 0.57). As no SMD >0.30 was observed for main effects on any outcome, results suggest that for some outcomes, the combined intervention was stronger than individual factors alone. CONCLUSIONS:This factorial experiment demonstrates the effectiveness of text messaging as a strategy to increase engagement with an internet smoking cessation intervention, resulting in greater overall intervention dose and greater exposure to the core components of tobacco dependence treatment that can promote abstinence. TRIAL REGISTRATION:ClinicalTrials.gov NCT02585206; https://clinicaltrials.gov/ct2/show/NCT02585206. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID):RR2-10.1136/bmjopen-2015-010687.
| S-EPMC7386536 | biostudies-literature
Project description:ObjectiveIntensive behavioral obesity treatments face scalability challenges, but evidence is lacking about which treatment components could be cut back without reducing weight loss. The Optimization of Remotely Delivered Intensive Lifestyle Treatment for Obesity (Opt-IN) study applied the Multiphase Optimization Strategy to develop an entirely remotely delivered, technology-supported weight-loss package to maximize the amount of weight loss attainable for ≤$500.MethodsSix-month weight loss was examined among adults (N = 562) with BMI ≥ 25 who were randomly assigned to conditions in a factorial experiment crossing five dichotomous treatment components set to either low/high (12 vs. 24 coaching calls) or off/on (primary care provider reports, text messaging, meal replacements, and buddy training).ResultsAbout 84.3% of participants completed the final assessment. The treatment package yielding maximum weight loss for ≤$500 included 12 coaching calls, buddy training, and primary care provider progress reports; produced average weight loss of 6.1 kg, with 57.1% losing ≥5% and 51.8% losing ≥7%; and cost $427 per person. The most expensive candidate-treatment component (24 vs. 12 coaching calls) was screened out of the optimized treatment package because it did not increase weight loss.ConclusionsSystematically testing each treatment component's effect on weight loss made it possible to eliminate more expensive but less impactful components, yielding an optimized, resource-efficient obesity treatment for evaluation in a randomized controlled trial.
| S-EPMC8045468 | biostudies-literature