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1.
JAMA Netw Open ; 6(2): e231047, 2023 02 01.
Article in English | MEDLINE | ID: mdl-36853604

ABSTRACT

Importance: Many patients at high cardiovascular risk-women more commonly than men-are not receiving statins. Anecdotally, it is common for patients to not accept statin therapy recommendations by their clinicians. However, population-based data on nonacceptance of statin therapy by patients are lacking. Objectives: To evaluate sex disparities in nonacceptance of statin therapy and assess their association with low-density lipoprotein (LDL) cholesterol control. Design, Setting, and Participants: A retrospective cohort study was conducted from January 1, 2019, to December 31, 2022, of statin-naive patients with atherosclerotic cardiovascular disease, diabetes, or LDL cholesterol levels of 190 mg/dL (to convert to millimoles per liter, multiply by 0.0259) or more who were treated at Mass General Brigham between January 1, 2000, and December 31, 2018. Exposure: Recommendation of statin therapy by the patient's clinician, ascertained from the combination of electronic health record prescription data and natural language processing of electronic clinician notes. Main Outcomes and Measures: Time to achieve an LDL cholesterol level of less than 100 mg/dL. Results: Of 24 212 study patients (mean [SD] age, 58.8 [13.0] years; 12 294 women [50.8%]), 5308 (21.9%) did not accept the initial recommendation of statin therapy. Nonacceptance of statin therapy was more common among women than men (24.1% [2957 of 12 294] vs 19.7% [2351 of 11 918]; P < .001) and was similarly higher in every subgroup in the analysis stratified by comorbidities. In multivariable analysis, female sex was associated with lower odds of statin therapy acceptance (0.82 [95% CI, 0.78-0.88]). Patients who did vs did not accept a statin therapy recommendation achieved an LDL cholesterol level of less than 100 mg/dL over a median of 1.5 years (IQR, 0.4-5.5 years) vs 4.4 years (IQR, 1.3-11.1 years) (P < .001). In a multivariable analysis adjusted for demographic characteristics and comorbidities, nonacceptance of statin therapy was associated with a longer time to achieve an LDL cholesterol level of less than 100 mg/dL (hazard ratio, 0.57 [95% CI, 0.55-0.60]). Conclusions and Relevance: This cohort study suggests that nonacceptance of a statin therapy recommendation was common among patients at high cardiovascular risk and was particularly common among women. It was associated with significantly higher LDL cholesterol levels, potentially increasing the risk for cardiovascular events. Further research is needed to understand the reasons for nonacceptance of statin therapy by patients and to develop methods to ensure that all patients receive optimal therapy in accordance with their preferences and priorities.


Subject(s)
Cardiovascular Diseases , Hydroxymethylglutaryl-CoA Reductase Inhibitors , Male , Humans , Female , Middle Aged , Hydroxymethylglutaryl-CoA Reductase Inhibitors/therapeutic use , Cardiovascular Diseases/drug therapy , Cardiovascular Diseases/epidemiology , Cardiovascular Diseases/prevention & control , Cholesterol, LDL , Cohort Studies , Retrospective Studies , Risk Factors , Heart Disease Risk Factors
2.
Obesity (Silver Spring) ; 29(8): 1338-1346, 2021 08.
Article in English | MEDLINE | ID: mdl-34111329

ABSTRACT

OBJECTIVE: The purpose of this study was to determine whether patients who discuss bariatric surgery with their providers are more likely to undergo the procedure and to lose weight. METHODS: A retrospective cohort study of adults with BMI ≥ 35 kg/m2 treated between 2000 and 2015 was conducted to analyze the relationship between a discussion of bariatric surgery in the first year after study entry and weight changes (primary outcome) and receipt of bariatric surgery (secondary outcome) over 2 years after study entry. Natural language processing was used to identify the documentation of bariatric surgery discussion in electronic provider notes. RESULTS: Out of 30,560 study patients, a total of 2,659 (8.7%) discussed bariatric surgery with their providers. The BMI of patients who discussed bariatric surgery decreased by 2.18 versus 0.21 for patients who did not (p < 0.001). In a multivariable analysis, patients who discussed bariatric surgery with their providers lost more weight (by 1.43 [change in BMI]; 95% CI: 1.29-1.57) and had greater odds (10.2; 95% CI: 9.0-11.6; p < 0.001) of undergoing bariatric surgery. CONCLUSIONS: Clinicians rarely discussed bariatric surgery with their patients. Patients who did have this discussion were more likely to lose weight and to undergo bariatric surgery.


Subject(s)
Bariatric Surgery , Obesity, Morbid , Adult , Humans , Retrospective Studies
3.
AMIA Annu Symp Proc ; 2017: 1243-1252, 2017.
Article in English | MEDLINE | ID: mdl-29854193

ABSTRACT

Healthcare quality research is a fundamental task that involves assessing treatment patterns and measuring the associated patient outcomes to identify potential areas for improving healthcare. While both qualitative and quantitative approaches are used, a major obstacle for the quantitative approach is that many useful healthcare quality indicators are buried within provider narrative notes, requiring expensive and laborious manual chart review to identify and measure them. Information extraction is a key Natural Language Processing (NLP) task for discovering and mining critical knowledge buried in unstructured clinical data. Nevertheless, widespread adoption of NLP has yet to materialize; the technical skills required for the development or use of such software present a major barrier for medical researchers wishing to employ these methods. In this paper we introduce Canary, a free and open source solution designed for users without NLP and technical expertise and apply it to four tasks, aiming to measure the frequency of: (1) insulin decline; (2) statin medication decline; (3) adverse reactions to statins; and (3) bariatric surgery counselling. Our results demonstrate that this approach facilitates mining of unstructured data with high accuracy, enabling the extraction of actionable healthcare quality insights from free-text data sources.


Subject(s)
Data Mining/methods , Natural Language Processing , Quality of Health Care , Bariatric Surgery , Humans , Hydroxymethylglutaryl-CoA Reductase Inhibitors/adverse effects , Hydroxymethylglutaryl-CoA Reductase Inhibitors/therapeutic use , Hypoglycemic Agents/therapeutic use , Insulin/therapeutic use , Research Personnel , Software , Treatment Refusal
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