Knowledge of Practicing Physicians about Their Legal Obligations When Caring for Patients with Disability

doi: 10.1377/hlthaff.2018.05060 HEALTH AFFAIRS 38, NO. 4 (2019): 545–55

Ensuring the Reproductive Rights of Women with Intellectual Disability

Background: Women with intellectual disability experience disparities in sexual and reproductive health care services.Methods: To explore perceptions of caring for persons with disability, including individuals with intellectual disability, we conducted open-ended individual interviews with 20 practising physicians and three video-based focus group interviews with an additional 22 practising physicians, which reached data saturation. Interviews were transcribed verbatim. We used conventional content analysis methods to analyse transcripts.Result: Physicians indicated that intellectual disability can pose challenges to providing sexual and reproductive health care. Observations coalesced around four themes: (1) communication; (2) routine preventive care; (3) contraception and sterilisation; and (4) conception and parenthood. Observations raised concerns about equity of access to reproductive care for women with intellectual disability.Conclusions: In our sample of physicians, we found attitudes that might compromise reproductive care for women with intellectual disability, suggesting that gaps remain in ensuring reproductive rights of women with intellectual disability

Can We Geographically Validate a Natural Language Processing Algorithm for Automated Detection of Incidental Durotomy Across Three Independent Cohorts From Two Continents?

Background Incidental durotomy is an intraoperative complication in spine surgery that can lead to postoperative complications, increased length of stay, and higher healthcare costs. Natural language processing (NLP) is an artificial intelligence method that assists in understanding free-text notes that may be useful in the automated surveillance of adverse events in orthopaedic surgery. A previously developed NLP algorithm is highly accurate in the detection of incidental durotomy on internal validation and external validation in an independent cohort from the same country. External validation in a cohort with linguistic differences is required to assess the transportability of the developed algorithm, referred to geographical validation. Ideally, the performance of a prediction model, the NLP algorithm, is constant across geographic regions to ensure reproducibility and model validity. Question/purpose Can we geographically validate an NLP algorithm for the automated detection of incidental durotomy across three independent cohorts from two continents? Methods Patients 18 years or older undergoing a primary procedure of (thoraco)lumbar spine surgery were included. In Massachusetts, between January 2000 and June 2018, 1000 patients were included from two academic and three community medical centers. In Maryland, between July 2016 and November 2018, 1279 patients were included from one academic center, and in Australia, between January 2010 and December 2019, 944 patients were included from one academic center. The authors retrospectively studied the free-text operative notes of included patients for the primary outcome that was defined as intraoperative durotomy. Incidental durotomy occurred in 9% (93 of 1000), 8% (108 of 1279), and 6% (58 of 944) of the patients, respectively, in the Massachusetts, Maryland, and Australia cohorts. No missing reports were observed. Three datasets (Massachusetts, Australian, and combined Massachusetts and Australian) were divided into training and holdout test sets in an 80:20 ratio. An extreme gradient boosting (an efficient and flexible tree-based algorithm) NLP algorithm was individually trained on each training set, and the performance of the three NLP algorithms (respectively American, Australian, and combined) was assessed by discrimination via area under the receiver operating characteristic curves (AUC-ROC; this measures the model's ability to distinguish patients who obtained the outcomes from those who did not), calibration metrics (which plot the predicted and the observed probabilities) and Brier score (a composite of discrimination and calibration). In addition, the sensitivity (true positives, recall), specificity (true negatives), positive predictive value (also known as precision), negative predictive value, Fl-score (composite of precision and recall), positive likelihood ratio, and negative likelihood ratio were calculated. Results The combined NLP algorithm (the combined Massachusetts and Australian data) achieved excellent performance on independent testing data from Australia (AUC-ROC 0.97 [95% confidence interval 0.87 to 0.99]), Massachusetts (AUC-ROC 0.99 [95% CI 0.80 to 0.99]) and Maryland (AUC-ROC 0.95 [95% CI 0.93 to 0.97]). The NLP developed based on the Massachusetts cohort had excellent performance in the Maryland cohort (AUC-ROC 0.97 [95% CI 0.95 to 0.99]) but worse performance in the Australian cohort (AUC-ROC 0.74 [95% CI 0.70 to 0.77]). Conclusion We demonstrated the clinical utility and reproducibility of an NLP algorithm with combined datasets retaining excellent performance in individual countries relative to algorithms developed in the same country alone for detection of incidental durotomy. Further multi-institutional, international collaborations can facilitate the creation of universal NLP algorithms that improve the quality and safety of orthopaedic surgery globally. The combined NLP algorithm has been incorporated into a freely accessible web application that can be found at https://sorg-apps.shinyapps.io/nlp_incidental_durotomy/. Clinicians and researchers can use the tool to help incorporate the model in evaluating spine registries or quality and safety departments to automate detection of incidental durotomy and optimize prevention efforts

Ensuring the Reproductive Rights of Women with Intellectual Disability

Background: Women with intellectual disability experience disparities in sexual and reproductive health care services.Methods: To explore perceptions of caring for persons with disability, including individuals with intellectual disability, we conducted open-ended individual interviews with 20 practising physicians and three video-based focus group interviews with an additional 22 practising physicians, which reached data saturation. Interviews were transcribed verbatim. We used conventional content analysis methods to analyse transcripts.Result: Physicians indicated that intellectual disability can pose challenges to providing sexual and reproductive health care. Observations coalesced around four themes: (1) communication; (2) routine preventive care; (3) contraception and sterilisation; and (4) conception and parenthood. Observations raised concerns about equity of access to reproductive care for women with intellectual disability.Conclusions: In our sample of physicians, we found attitudes that might compromise reproductive care for women with intellectual disability, suggesting that gaps remain in ensuring reproductive rights of women with intellectual disability

U.S. Physicians’ Knowledge About The Americans With Disabilities Act And Accommodation Of Patients With Disability

More than thirty years since the enactment of the Americans with Disabilities Act (ADA), people with disability continue to experience health care disparities. The ADA mandates that patients with disability receive reasonable accommodations. In our survey of 714 US physicians in outpatient practices, 35.8 percent reported knowing little or nothing about their legal responsibilities under the ADA, 71.2 percent answered incorrectly about who determines reasonable accommodations, 20.5 percent did not correctly identify who pays for these accommodations, and 68.4 felt that they were at risk for ADA lawsuits. Physicians who felt that lack of formal education or training was a moderate or large barrier to caring for patients with disability were more likely to report little or no knowledge of their responsibilities under the law and were more likely to believe that they were at risk for an ADA lawsuit. To achieve equitable care and social justice for patients with disability, considerable improvements are needed to educate physicians and make health care delivery systems more accessible and accommodating