Speech-Language Pathologists' Practices Related to Evaluating Persistence Prognosis for Children Who Stutter: A Survey Study

Purpose Multiple studies and review papers have been published recently that provide recommendations to speech-language pathologists (SLPs) on how to assess young children who stutter and their likelihood of continuing to stutter or recovering naturally (i.e., prognosis). This study explored the current, self-reported evaluation practices of SLPs related to evaluating prognosis for a child who stutters. Method Certified SLPs were recruited to complete an electronic questionnaire that focused on their experience, confidence, and practices evaluating preschool-aged children who stutter. Results Findings, based on completed questionnaires from 87 SLPs, revealed that (a) assessing a child's chances of persisting is a common practice for many SLPs, (b) the types of information commonly collected during evaluations of young children, (c) the length SLPs typically spend on these evaluations (i.e., about an hour), and (d) SLPs' recommendations to caregivers influenced by a child's likelihood of persisting. Conclusions SLPs are following many of the published recommendations for assessing preschoolers who stutter, including collecting risk factor information supported by empirical evidence and also valuing risk factors that have yet to receive much, if any, empirical exploration. Clinicians and researchers are encouraged to consider present findings when planning future work relative to evaluations of young children who stutter. Empirical evidence and clinical experience are, collectively, important sources of information in evidence-based practice.

Patient perspectives on tablet-based technology to collect risk factor information in primary care

Background Primary care provides an opportunity to introduce prevention strategies and identify risk behaviours. Algorithmic information technology such as the Risk Factor Identification Tool (RFIT) can support primary care counseling. This study explores the integration of the tablet-based RFIT in primary care clinics to support exploration of patient risk factor information. Methods Qualitative study to explore patients’ perspectives of RFIT. RFIT was implemented in two primary care clinics in Manitoba, Canada. There were 207 patients who completed RFIT, offered to them by eight family physicians. We conducted one-on-one patient interviews with 86 patients to capture the patient’s perspective. Responses were coded and categorized into five common themes. Results RFIT had a completion rate of 86%. Clinic staff reported that very few patients declined the use of RFIT or required assistance to use the tablet. Patients reported that the tablet-based RFIT provided a user-friendly interface that enabled self-reflection while in the waiting room. Patients discussed the impact of RFIT on the patient-provider interaction, utility for the clinician, their concerns and suggested improvements for RFIT. Among the patients who used RFIT 12.1% smoked, 21.2% felt their diet could be improved, 9.3% reported high alcohol consumption, 56.4% reported less than 150 min of PA a week, and 8.2% lived in poverty. Conclusion RFIT is a user-friendly tool for the collection of patient risk behaviour information. RFIT is particularly useful for patients lacking continuity in the care they receive. Information technology can promote self-reflection while providing useful information to the primary care clinician. When combined with practical tools and resources RFIT can assist in the reduction of risk behaviours.

Searching the PDF Haystack: Automated Knowledge Discovery in Scanned EHR Documents

Background Clinicians express concern that they may be unaware of important information contained in voluminous scanned and other outside documents contained in electronic health records (EHRs). An example is “unrecognized EHR risk factor information,” defined as risk factors for heritable cancer that exist within a patient's EHR but are not known by current treating providers. In a related study using manual EHR chart review, we found that half of the women whose EHR contained risk factor information meet criteria for further genetic risk evaluation for heritable forms of breast and ovarian cancer. They were not referred for genetic counseling. Objectives The purpose of this study was to compare the use of automated methods (optical character recognition with natural language processing) versus human review in their ability to identify risk factors for heritable breast and ovarian cancer within EHR scanned documents. Methods We evaluated the accuracy of the chart review by comparing our criterion standard (physician chart review) versus an automated method involving Amazon's Textract service (Amazon.com, Seattle, Washington, United States), a clinical language annotation modeling and processing toolkit (CLAMP) (Center for Computational Biomedicine at The University of Texas Health Science, Houston, Texas, United States), and a custom-written Java application. Results We found that automated methods identified most cancer risk factor information that would otherwise require clinician manual review and therefore is at risk of being missed. Conclusion The use of automated methods for identification of heritable risk factors within EHRs may provide an accurate yet rapid review of patients' past medical histories. These methods could be further strengthened via improved analysis of handwritten notes, tables, and colloquial phrases.

A study protocol for a predictive algorithm to assess population-based premature mortality risk: Premature Mortality Population Risk Tool (PreMPoRT)

Background Premature mortality is an important population health indicator used to assess health system functioning and to identify areas in need of health system intervention. Predicting the future incidence of premature mortality in the population can facilitate initiatives that promote equitable health policies and effective delivery of public health services. This study protocol proposes the development and validation of the Premature Mortality Risk Prediction Tool (PreMPoRT) that will predict the incidence of premature mortality using large population-based community health surveys and multivariable modeling approaches. Methods PreMPoRT will be developed and validated using various training, validation, and test data sets generated from the six cycles of the Canadian Community Health Survey (CCHS) linked to the Canadian Vital Statistics Database from 2000 to 2017. Population-level risk factor information on demographic characteristics, health behaviors, area level measures, and other health-related factors will be used to develop PreMPoRT and to predict the incidence of premature mortality, defined as death prior to age 75, over a 5-year period. Sex-specific Weibull accelerated failure time models will be developed using a Canadian provincial derivation cohort consisting of approximately 500,000 individuals, with approximately equal proportion of males and females, and about 12,000 events of premature mortality. External validation will be performed using separate linked files (CCHS cycles 2007–2008, 2009–2010, and 2011–2012) from the development cohort (CCHS cycles 2000–2001, 2003–2004, and 2005–2006) to check the robustness of the prediction model. Measures of overall predictive performance (e.g., Nagelkerke’s R2), calibration (e.g., calibration plots), and discrimination (e.g., Harrell’s concordance statistic) will be assessed, including calibration within defined subgroups of importance to knowledge users and policymakers. Discussion Using routinely collected risk factor information, we anticipate that PreMPoRT will produce population-based estimates of premature mortality and will be used to inform population strategies for prevention.

Using Information Technology to Assess Patient Risk Factors in Primary Care Clinics: A Pragmatic Evaluation (Preprint)

BACKGROUND Tobacco use, physical inactivity and poor diet are associated with morbidity and premature death. Health promotion and primary prevention counseling, advice and support by a primary care provider leads to behaviour change attempts among patients. However, although physicians consider preventative health important the focus on symptoms presentation, acute care and medication review often overshadows primary prevention counseling. OBJECTIVE This study evaluates feasibility, adoption and integration of the tablet-based Risk Factor Identification Tool (RFIT) that uses algorithmic information technology to support obtainment of patient risk factor information in primary care clinics. METHODS This is a pragmatic developmental evaluation. Each clinic developed a site-specific implementation plan adapted to their workflow. RFIT was implemented in two primary care clinics located in Manitoba. Perceptions of 10 clinic staff and 8 primary care clinicians informed this evaluation. RESULTS Clinicians reported a smooth and fast transfer of RFIT responses to an EMR encounter note. Two hundred seven patients used the RFIT with a completion rate of 86%. Clinic staff reported that very few patients declined the use of RFIT or required assistance to use the tablet. Among the patients that used RFIT 12.1% smoked, 21.2% felt their diet could be improved, 9.3% reported high alcohol consumption, 56.4% reported less than 150 minutes of PA a week, and 8.2% lived in poverty. Clinicians suggested that although a wide variety of patients were able to use the tablet-based RFIT, implemented surveys should be tailored to patient subgroups. CONCLUSIONS Clinicians and clinic staff positively reviewed the use of information technology in primary care. Algorithmic information technology can collect, organize and synthesize individual health information to inform and tailor primary care counseling to the patients’ context and readiness to change. RFIT is a user-friendly tool that provides an effective method for obtaining risk factor information from patients. It is particularly useful for subsets of patients lacking continuity in the care they receive. When implemented within a context that can support practical interventions to address identified risk factors, RFIT can inform brief interventions within primary care.

Electronic health records contain dispersed risk factor information that could be used to prevent breast and ovarian cancer

Objective The genetic testing for hereditary breast cancer that is most helpful in high-risk women is underused. Our objective was to quantify the risk factors for heritable breast and ovarian cancer contained in the electronic health record (EHR), to determine how many women meet national guidelines for referral to a cancer genetics professional but have no record of a referral. Methods and Materials We reviewed EHR records of a random sample of women to determine the presence and location of risk-factor information meeting National Comprehensive Cancer Network (NCCN) guidelines for a further genetic risk evaluation for breast and/or ovarian cancer, and determine whether the women were referred for such an evaluation. Results A thorough review of the EHR records of 299 women revealed that 24 (8%) met the NCCN criteria for referral for a further genetic risk evaluation; of these, 12 (50%) had no referral to a medical genetics clinic. Conclusions Half of the women whose EHR records contain risk-factor information meeting the criteria for further genetic risk evaluation for heritable forms of breast and ovarian cancer were not referred.

Using Information Technology to Assess Patient Risk Factors in Primary Care Clinics: A Pragmatic Evaluation (Preprint)

BACKGROUND Tobacco use, physical inactivity and poor diet are associated with morbidity and premature death. Health promotion and primary prevention counseling, advice and support by a primary care provider leads to behaviour change attempts among patients. However, although physicians consider preventative health important the focus on presentation, acute care and medication review often overshadows primary prevention counseling. OBJECTIVE This study evaluates feasibility, adoption and integration of the tablet-based Risk Factor Identification Tool (RFIT) that uses algorithmic information technology to support obtainment of patient risk factor information in primary care clinics. METHODS This is a pragmatic developmental evaluation. Each clinic developed a site-specific implementation plan adapted to their workflow. RFIT was implemented in two primary care clinics located in Manitoba. Perceptions of 10 clinic staff and 8 primary care clinicians informed this evaluation. RESULTS Clinicians reported a smooth and fast transfer of RFIT responses to an EMR encounter note. There were 207 patients that used the RFIT with a completion rate of 86%. Clinic staff reported that very few patients declined the use of RFIT or required assistance to use the tablet. Among the patients that used RFIT 12.1% smoked, 21.2% felt their diet could be improved, 9.3% reported high alcohol consumption, 56.4% reported less than 150 minutes of PA a week, and 8.2% lived in poverty. Clinicians suggested that although a wide variety of patients were able to use the tablet-based RFIT, implemented surveys should be tailored to patient subgroups. CONCLUSIONS Clinicians and clinic staff positively reviewed the use of information technology in primary care. RFIT is a user-friendly tool that provides an effective method for obtaining risk factor information from patients. It is particularly useful for subsets of patients lacking continuity in the care they receive. When implemented within a context that can support practical interventions to address identified risk factors, RFIT can inform brief interventions within primary care.

Regulatory Certification, Risk Factor Disclosure, and Investor Behavior*

This article examines the question: Does regulatory approval of prospectuses act as a “certification” of securities offerings? Rational investors should generally ignore prospectus approval due to its being uninformative regarding either the quality of, or motives for, the underlying offering. Our survey experiment demonstrates that salient references to regulatory oversight in investment advertisements can lead to significant increases in willingness to invest and concomitant decreases in perceived risks. Conversely, salient disclosure of risk factor information increases risk perceptions and reduces the intention to search for additional information. Various robustness tests confirm that investors can perceive regulatory oversight of securities offerings as an endorsement. Our results provide insight regarding the design of the disclosure and the effective regulation of financial marketing.

Health workers cohort study: methods and study design

Objective. To examine different health outcomes that are associated with specific lifestyle and genetic factors. Materials and methods. From March 2004 to April 2006, a sample of employees from three different health and academic institutions, as well as their family members, were enrolled in the study after providing informed consent. At baseline and follow-up (2010-2013), participants completed a self-administered questionnaire, a physical examination, and provided blood samples. Results. A total of 10 729 participants aged 6 to 94 years were recruited at baseline. Of these, 70% were females, and 50% were from the Mexican Social Security Institute. Nearly 42% of the adults in the sample were overweight, while 20% were obese. Conclusion. Our study can offer new insights into disease mechanisms and prevention through the analysis of risk factor information in a large sample of Mexicans.

Implementation of a new patient health questionnaire into standard practice in outpatient cancer clinics to improve patient care and quality of treatment.

214 Background: Patient socio-demographic, lifestyle, and risk factor information at the Princess Margaret Cancer Centre (PM) is routinely collected for clinical purposes. The only standardized patient information presently being gathered in the outpatient cancer clinics at the PM is symptom management data, which is linked directly into the electronic medical records. Collecting and recording additional data can improve the quality of patient care, help identify risk factors, and guide treatment options. Our aim was to determine the feasibility of collecting this additional information in a clinical setting. Methods: This pilot cohort study was implemented in the thoracic outpatient oncology clinic at the PM. It involved developing a questionnaire utilizing literature sources, expert review, and pilot testing. Adult cancer patients completed the questionnaire and a complementary acceptability survey during their first clinic visit. Results: 170 patients with thoracic tumours, primarily lung cancer, took part in the feasibility study. Of these, 51% were female, 67% were Caucasian, and the median age was 65 (range 32 to 88) years old. The acceptability survey demonstrated that: 76% of respondents found that the questionnaire did not make their clinic visit more difficult, 68% found that it asked the right questions, 79% thought the questionnaire contained pertinent information for their doctor and other healthcare providers to know, and 51% found that it was time consuming to complete. Conclusions: This study determined that it is feasible to implement a standardized questionnaire that gathers patient socio-demographic, lifestyle, and risk factor information in routine clinical cancer care. Since half of the study population found the questionnaire time consuming to complete it should be administered prior to patient visits, in an electronic format, and with greater explanation/education. The next phase is converting the questionnaire into an electronic version, which aligns with the preferences of study participants and will allow the information to be more easily accessible by clinicians/researchers.