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BACKGROUND: Previous research has suggested that obstetric outcomes are similar for deliveries by family physicians and obstetricians, but many of these studies were small, and none of them adjusted for unmeasured selection bias. We compared obstetric outcomes between these provider types using an econometric method designed to adjust for unobserved confounding. METHODS: We performed a retrospective population-based cohort study of all Canadian (except Quebec) hospital births with delivery by family physicians and obstetricians at more than 20 weeks gestational age, with birth weight greater than 500 g, between Apr. 1, 2006, and Mar. 31, 2009. The primary outcomes were the relative risks of in-hospital perinatal death and a composite of maternal mortality and major morbidity assessed with multivariable logistic regression and instrumental variable-adjusted multivariable regression. RESULTS: After exclusions, there were 3600 perinatal deaths and 14,394 cases of maternal morbidity among 799,823 infants and 793,053 mothers at 390 hospitals. For deliveries by family physicians v. obstetricians, the relative risk of perinatal mortality was 0.98 (95% confidence interval [CI] 0.85-1.14) and of maternal morbidity was 0.81 (95% CI 0.70-0.94) according to logistic regression. The respective relative risks were 0.97 (95% CI 0.58-1.64) and 1.13 (95% CI 0.65-1.95) according to instrumental variable methods. INTERPRETATION: After adjusting for both observed and unobserved confounders, we found a similar risk of perinatal mortality and adverse maternal outcome for obstetric deliveries by family physicians and obstetricians. Whether there are differences between these groups for other outcomes remains to be seen.
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Parto Obstétrico/métodos , Obstetricia/métodos , Médicos de Familia , Resultado del Embarazo , Especialización , Canadá , Estudios de Cohortes , Femenino , Humanos , Recién Nacido , Modelos Logísticos , Mortalidad Materna , Mortalidad Perinatal , Embarazo , Estudios Retrospectivos , Medición de RiesgoRESUMEN
For the 2014 i2b2/UTHealth de-identification challenge, we introduced a new non-parametric Bayesian hidden Markov model using a Dirichlet process (HMM-DP). The model intends to reduce task-specific feature engineering and to generalize well to new data. In the challenge we developed a variational method to learn the model and an efficient approximation algorithm for prediction. To accommodate out-of-vocabulary words, we designed a number of feature functions to model such words. The results show the model is capable of understanding local context cues to make correct predictions without manual feature engineering and performs as accurately as state-of-the-art conditional random field models in a number of categories. To incorporate long-range and cross-document context cues, we developed a skip-chain conditional random field model to align the results produced by HMM-DP, which further improved the performance.
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Seguridad Computacional , Confidencialidad , Registros Electrónicos de Salud/organización & administración , Narración , Procesamiento de Lenguaje Natural , Reconocimiento de Normas Patrones Automatizadas/métodos , Estudios de Cohortes , Simulación por Computador , Minería de Datos/métodos , Aprendizaje Automático , Cadenas de Markov , Modelos Estadísticos , Terranova y Labrador , Vocabulario ControladoRESUMEN
Studies of the proteome would benefit greatly from methods to directly sequence and digitally quantify proteins and detect posttranslational modifications with single-molecule sensitivity. Here, we demonstrate single-molecule protein sequencing using a dynamic approach in which single peptides are probed in real time by a mixture of dye-labeled N-terminal amino acid recognizers and simultaneously cleaved by aminopeptidases. We annotate amino acids and identify the peptide sequence by measuring fluorescence intensity, lifetime, and binding kinetics on an integrated semiconductor chip. Our results demonstrate the kinetic principles that allow recognizers to identify multiple amino acids in an information-rich manner that enables discrimination of single amino acid substitutions and posttranslational modifications. With further development, we anticipate that this approach will offer a sensitive, scalable, and accessible platform for single-molecule proteomic studies and applications.
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Proteoma , Proteómica , Aminoácidos/química , Aminopeptidasas , Péptidos/química , Proteómica/métodos , Semiconductores , Análisis de Secuencia de Proteína/métodosRESUMEN
OBJECTIVE: To determine associations between geographic accessibility, delivery volume, and obstetric outcomes. METHODS: Population-based cohort study of linked hospital administrative, census, and geospatial data (2006-2009) from all Canadian jurisdictions except Quebec. Perinatal mortality and major maternal morbidity/mortality were compared across categories of road distance and hospital delivery volume. RESULTS: Among 820 761 mothers delivering 827 504 neonates, travel distance had minimal effect on perinatal mortality. Compared with mothers travelling 0-9 km, the odds of adverse maternal outcomes was decreased for women travelling modest distances (20-49 km, odds ratio, 0.80 [95% confidence interval, 0.75-0.86]), and increased thereafter (50-99 km, 0.99 [0.89-1.10]; 200-299 km, 1.44 [1.10-1.87]; >400 km, 2.22 [1.06-4.63]). Relative to high-volume hospitals (>2500 deliveries/year), adverse maternal outcomes were less likely for hospitals with 1000-2499 (0.90 [0.86-0.95]), and roughly equivalent for hospitals with 200-499 (1.34 [1.22-1.48]) and 500-999 (1.27 [1.17-1.39]) deliveries/year. Odds of perinatal mortality ranged from 1.04 (0.73-1.49; 100-199 deliveries/year) to 1.50 (1.04-2.16; 50-99 deliveries/year); the pattern did not suggest causality. CONCLUSION: Maternal outcomes worsen when travel distance is greater than 200 km, and improve when delivery volume exceeds 1000 deliveries per year.
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Parto Obstétrico/estadística & datos numéricos , Accesibilidad a los Servicios de Salud/estadística & datos numéricos , Mortalidad Materna , Mortalidad Perinatal , Adulto , Canadá/epidemiología , Estudios de Cohortes , Femenino , Hospitales/estadística & datos numéricos , Humanos , Recién Nacido , Oportunidad Relativa , Vigilancia de la Población , Embarazo , Estudios RetrospectivosRESUMEN
BACKGROUND: The Building on Existing Tools to Improve Chronic Disease Prevention and Screening in Primary Care (BETTER) randomised control trial (RCT) showed that the BETTER Program improved chronic disease prevention and screening (CDPS) by 32.5% in urban team-based primary care clinics. AIM: To evaluate outcomes from implementation of BETTER in diverse clinical settings. DESIGN & SETTING: An implementation study was undertaken to apply the CDPS intervention from the BETTER trial to diverse settings in BETTER 2. Patients aged 40-65 years were invited to enrol in the study from three clinics in Newfoundland and Labrador, Canada. METHOD: At baseline, eligibility for 27 CDPS actions (for example, cancer, diabetes and hypertension screening, lifestyle) was determined. Patients then met with a trained provider and prioritised goals to address their eligible CDPS actions. Providers received training in behaviour change theory and practice. Descriptive analysis of clinical outcomes and success factors were reported. RESULTS: A total of 154 patients (119 female and 35 male) had a baseline visit; 106 had complete outcome assessments, and the remainder had partial outcome assessments. At baseline, patients were eligible for a mean of 12.3 CDPS actions and achieved a mean of 6.0 (49%, 95% confidence intervals [CI] = 24% to 74%) at 6-month follow-up, including reduced hypertension (86% of eligible patients, 95% CI = 67% to 96%), weight control (51% of eligible patients, 95% CI = 42% to 60%), and smoking cessation (36% of eligible patients, 95% CI = 17% to 59%). Male, highly educated, and lower income individuals achieved a higher proportion of CDPS manoeuvers than their counterparts. CONCLUSION: Clinical outcomes from this implementation study were comparable with those of the prior BETTER RCT, providing support for the BETTER Program as an effective approach to CDPS in more diverse general practice settings.
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BACKGROUND: Chronic disease prevention and screening (CDPS) has been identified as a top priority in primary care. However, primary care providers often lack time, evidence-based tools, and consistent guidelines to effectively address CDPS. Building on Existing Tools to Improve Chronic Disease Prevention and Screening in Primary Care (BETTER) is a novel approach that introduces a new role, that of the prevention practitioner; the prevention practitioner meets with patients, one on one, to undertake a personalised CDPS visit. Understanding patients' perspectives is important for clinicians and other stakeholders aiming to address and integrate CDPS. AIM: To describe patients' perspectives regarding visits with a prevention practitioner in BETTER 2, an implementation study that was carried out after the BETTER trial and featured a higher proportion of patients in rural and remote locations. DESIGN & SETTING: Qualitative description based on patient feedback surveys, completed by patients in three primary care clinics (urban, rural, and remote) in Newfoundland and Labrador, Canada. METHOD: Patients' perspectives were assessed based on responses from 91 feedback forms. In total, 154 patients (aged 40-65 years) received ≥1 prevention visit(s) from a prevention practitioner and were asked to provide written feedback. In addition to demographics, patients were asked what they liked about their visit(s), what they would have liked to be different, and invited to make any other comments. Qualitative description was used to analyse the data. RESULTS: Four main themes emerged from patients' feedback: value of visit (patients appreciated the visit with a prevention practitioner); visit characteristics (the visit was personalised, comprehensive, and sufficiently long); prevention practitioners' characteristics (professionalism and interpersonal skills); and patients' concerns (termination of the programme and access to preventative care). CONCLUSION: Patients appreciated the visits they received with a prevention practitioner and expressed their desire to receive sustained CDPS in primary care.
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This study examined whether people adhered to the recognition heuristic (i.e., inferred that a recognized hockey player had more total career points than an unrecognized player) and whether using this heuristic could yield accurate decisions. On paired comparisons, having participants report whether they recognized each player plus any knowledge they had about each player permitted players to be classified as either unrecognized (UR), merely recognized (MR), or recognized with additional knowledge (RK), thus producing six possible trial types. Participants adhered to the recognition heuristic on 95% of MR-UR trials and were accurate on 81% of those trials. They chose the recognized player on 98% of RK-UR trials, yielding 94% accuracy. Women had less knowledge and recognized fewer players than men, yet they were nearly as accurate as men. Future research should examine the conditions under which the recognition heuristic is an adaptive strategy.
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Toma de Decisiones , Juicio , Reconocimiento en Psicología , Adulto , Femenino , Hockey , Humanos , Conocimiento , Masculino , Terranova y Labrador , Estadísticas no ParamétricasRESUMEN
BACKGROUND: BETTER (Building on Existing Tools to Improve Chronic Disease Prevention and Screening in Primary Care) is a patient-based intervention to improve chronic disease prevention and screening (CDPS) for cardiovascular disease, diabetes, cancer, and associated lifestyle factors in patients aged 40 to 65. The key component of BETTER is a prevention practitioner (PP), a health care professional with specialized skills in CDPS who meets with patients to develop a personalized prevention prescription, using the BETTER toolkit and Brief Action Planning. The purpose of this qualitative study was to understand facilitators and barriers of the implementation of the BETTER 2 program among clinicians, patients, and stakeholders in three (urban, rural, and remote) primary care settings in Newfoundland and Labrador, Canada. METHODS: We collected and analyzed responses from 20 key informant interviews and 5 focus groups, as well as memos and field notes. Data were organized using Nvivo 10 software and coded using constant comparison methods. We then employed the Consolidated Framework for Implementation Research (CFIR) to focus our analysis on the domains most relevant for program implementation. RESULTS: The following key elements, within the five CFIR domains, were identified as impacting the implementation of BETTER 2: (1) intervention characteristics-complexity and cost of the intervention; (2) outer setting-perception of fit including lack of remuneration, lack of resources, and duplication of services, as well as patients' needs as perceived by physicians and patients; (3) characteristics of prevention practitioners-interest in prevention and ability to support and motivate patients; (4) inner setting-the availability of a local champion and working in a team versus working as a team; and (5) process-planning and engaging, collaboration, and teamwork. CONCLUSIONS: The implementation of a novel CDPS program into new primary care settings is a complex, multi-level process. This study identified key elements that hindered or facilitated the implementation of the BETTER approach in three primary care settings in Newfoundland and Labrador. Employing the CFIR as an overarching typology allows for comparisons with other contexts and settings, and may be useful for practices, researchers, and policy-makers interested in the implementation of CDPS programs.
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Enfermedad Crónica/prevención & control , Personal de Salud , Accesibilidad a los Servicios de Salud , Tamizaje Masivo/métodos , Atención Primaria de Salud/métodos , Evaluación de Programas y Proyectos de Salud/métodos , Adulto , Anciano , Canadá , Conducta Cooperativa , Femenino , Grupos Focales , Humanos , Entrevistas como Asunto , Masculino , Persona de Mediana Edad , Investigación Cualitativa , Población Rural , Población UrbanaRESUMEN
BACKGROUND: The Argentia region of Newfoundland and Labrador, Canada, was home to a US naval base during a 40-year period between the 1940s and the 1990s. Activities on the base resulted in contamination of the soil and groundwater in the region with chemicals such as heavy metals and dioxins, and residents have expressed concern about higher rates of cancer in their community. This study investigated the rate of cancer diagnosis that is disproportionately high in the Argentia region. METHODS: Cases of cancer diagnosed between 1985 and 2011 were obtained for the Argentia region, two comparison communities, and the province of Newfoundland and Labrador. Crude and age-standardized incidence rates of cancer diagnosis were calculated and compared. The crude incidence rate was adjusted for differences in age demographics using census data, and age-standardized incidence rates were compared. RESULTS: Although the Argentia region had a higher crude rate of cancer diagnosis, the age-standardized incidence rate did not differ significantly from the comparison communities or the provincial average. Argentia has an aging population, which may have influenced the perception of increased cancer diagnosis in the community. CONCLUSIONS: We did not detect an increased burden of cancer in the Argentia region.
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Contaminantes Ambientales/análisis , Neoplasias/epidemiología , Adolescente , Adulto , Anciano , Anciano de 80 o más Años , Canadá/epidemiología , Niño , Preescolar , Humanos , Incidencia , Lactante , Recién Nacido , Persona de Mediana Edad , Neoplasias/etiología , Terranova y Labrador/epidemiología , Adulto JovenRESUMEN
OBJECTIVE: Because a majority of urinary tract stones (UTSs) pass spontaneously and clinically significant alternative pathology is rare, we hypothesize that many computed tomographic (CT) scans to diagnose them are likely unnecessary. We sought to measure the impact of renal CT scans on resource use and to justify a prospective study to derive a score that predicts an emergent diagnosis in patients with suspected UTS by doing so in our retrospective series. METHODS: We conducted a retrospective study of ED patients who had noncontrast CT of the abdomen for suspected UTS. A split-sample was used to derive and validate a score to predict the presence of an emergent diagnosis on CT. RESULTS: Of the 2,315 patients (50.8% female, mean age 45 years), 49 (2.1%) had an emergent outcome observed on CT. An additional 12 (0.5%) patients had an urgent outcome and 239 (10.6%) had a urologic procedure within 8 weeks of the CT. Serum white blood cell count, highest temperature, urine red blood cell count, and the presence of abdominal pain were significant predictors of the primary outcome. A score derived using these predictors had a potential range of -2 (0.26% predicted risk, 0.5% actual risk of the outcome) to 6 (52% predicted risk). The score was moderately discriminatory with c-statistics of 0.752 (derivation) and 0.668 (validation) and accurate with Hosmer-Lemeshow statistics of 10.553 (p â=â 0.228, derivation) and 9.70 (p â=â 0.286, validation). CONCLUSIONS: A sensible, relevant score derived and validated on all patients presenting with symptoms suggestive of renal colic could be useful in reducing abdominal CT scan ordering.