Public views on a wait time management initiative: a matter of communication

<p>Abstract</p> <p>Background</p> <p>Many countries have tried to reduce waiting times for health care through formal wait time reduction strategies. Our paper describes views of members of the public about a wait time management initiative - the Ontario Wait Time Strategy (OWTS) (Canada). Scholars and governmental reports have advocated for increased public involvement in wait time management. We provide empirically derived recommendations for public engagement in a wait time management initiative.</p> <p>Methods</p> <p>Two qualitative studies: 1) an analysis of all emails sent by the public to the (OWTS) email address; and 2) in-depth interviews with members of the Ontario public.</p> <p>Results</p> <p>Email correspondents and interview participants supported the intent of the OWTS. However they wanted more information about the Strategy and its actions. Interview participants did not feel they were sufficiently made aware of the Strategy and email correspondents requested additional information beyond what was offered on the Strategy's website. Moreover, the email correspondents believed that some of the information that was provided on the Strategy's website and through the media was inaccurate, misleading, and even dishonest. Interview participants strongly supported public involvement in the OWTS priority setting.</p> <p>Conclusions</p> <p>Findings suggest the public wanted increased communication from and with the OWTS. Effective communication can facilitate successful public engagement, and in turn fair and legitimate priority setting. Based on the study's findings we developed concrete recommendations for improving public involvement in wait time management.</p

Between Me and The Computer: Increased Detection of Intimate Partner Violence Using a Computer Questionnaire

Study objective: The emergency department is a problem-focused environment in which routine screening for intimate partner violence (IPV) is difficult. We hypothesized that screening for IPV during computer-based health-risk assessment would be acceptable to patients and improve detection. Methods: We performed a descriptive study of IPV data collected during a controlled trial of computer-based health promotion in an urban hospital ED. Patients received computer-generated health advice, and physicians received patient risk summaries. Outcomes were patient disclosure and physician documentation of IPV and associated risks. Results: Two hundred forty-eight patients (69% female, 90% black, mean age 39 years) participated in a clinical trial of computer-based health promotion in the ED. Of 170 women, 53 (33%) disclosed emotional abuse, and 25 (15%) disclosed physical abuse. Of 78 men, 22 (29%) disclosed emotional abuse, and 5 (6%) disclosed physical abuse. Patients were also willing to self-report a history or concern of hurting someone close to them. This was true for 21 (14%) women and 15 (22%) men. Controlling for demographic factors, disclosures of victimization and perpetration were associated with multiple psychosocial risks. Computer screening resulted in chart documentation in 19 of 83 potential cases of IPV compared with 1 case documented in the group that received usual care. Conclusion: Providing an opportunity for patients to confidentially self-disclose IPV has the potential to supplement current screening efforts and to allow providers to focus on assessment, counseling, and referral for those at risk. However, further measures will be needed to ensure that information gathered through computer screening is adequately addressed during the acute care or follow-up visit

Better Health While You Wait: A Controlled Trial of a Computer-Based Intervention for Screening and Health Promotion in the Emergency Department

Study objective: We evaluate a computer-based intervention for screening and health promotion in the emergency department and determine its effect on patient recall of health advice. Methods: This controlled clinical trial, with alternating assignment of patients to a computer intervention (prevention group) or usual care, was conducted in a university hospital ED. The study group consisted of 542 adult patients with nonurgent conditions. The study intervention was a self-administered computer survey generating individualized health information. Outcome measures were (1) patient willingness to take a computerized health risk assessment, (2) disclosure of behavioral risk factors, (3) requests for health information, and (4) remembered health advice. Results: Eighty-nine percent (470/542) of eligible patients participated. Ninety percent were black. Eighty-five percent (210/248) of patients in the prevention group disclosed 1 or more major behavioral risk factors including current smoking (79/248; 32%), untreated hypertension (28/248; 13%), problem drinking (46/248; 19%), use of street drugs (33/248; 13%), major depression (87/248; 35%), unsafe sexual behavior (84/248; 33%), and several other injury-prone behaviors. Ninety-five percent of patients in the prevention group requested health information. On follow-up at 1 week, 62% (133/216) of the prevention group patients compared with 27% (48/180) of the control subjects remembered receiving advice on what they could do to improve their health (relative risk 2.3, 95% confidence interval 1.77 to 3.01). Conclusion: Using a self-administered computer-based health risk assessment, the majority of patients in our urban ED disclosed important health risks and requested information. They were more likely than a control group to remember receiving advice on what they could do to improve their health. Computer methodology may enable physicians to use patient waiting time for health promotion and to target at-risk patients for specific interventions

Using resources wisely in the COVID-19 pandemic: an international list of Choosing Wisely recommendations

BACKGROUND: The novel coronavirus (COVID-19) pandemic has brought forth issues of health system resource limitations into urgent matters of public importance. Our objective was to rapidly develop an international Choosing Wisely list of recommendations for clinicians and the public about using resources wisely in the COVID-19 pandemic. METHODS: Choosing Wisely Canada convened a rapid Delphi process to develop an international Choosing Wisely list for COVID-19. Informed by a rapid review of emerging literature, this process engaged a small group of clinicians and public advisors in Canada (n=10) and internationally (n=8) to develop a candidate list of recommendations. A survey with candidate recommendations was sent to Choosing Wisely clinician leaders in Canada and around the world. Based on survey results and input, list recommendations were modified. RESULTS: The survey was sent to 293 potential respondents and received a 56% response rate in 72 hours (n=163). Respondents were asked to score each of the 9 recommendations on a 5-point Likert scale ranging from 1 strongly disagree to 5 strongly agree followed by free text comment. There were 271 total comments across 9 recommendations. Overall, all 9 recommendations had high levels of agreement with 83%-96% of respondents ranking them as strongly agree or agree. INTERPRETATION: This list of recommendations provides evidence-based statements about using resources wisely in the COVID-19 pandemic. The list reflects international consensus on evidence-based recommendations for both clinicians and the public which were achieved through a rapid consensus building process. TRIAL REGISTRATION: n/

Resuscitating the Physician-Patient Relationship: Emergency Department Communication in an Academic Medical Center

Study objective: We characterize communication in an urban, academic medical center emergency department (ED) with regard to the timing and nature of the medical history survey and physical examination and discharge instructions. Methods: Audiotaping and coding of 93 ED encounters (62 medical history surveys and physical examinations, 31 discharges) with a convenience sample of 24 emergency medicine residents, 8 nurses, and 93 nonemergency adult patients. Results: Patients were 68% women and 84% black, with a mean age of 45 years. Emergency medicine providers were 70% men and 80% white. Of 62 medical history surveys and physical examinations, time spent on the introduction and medical history survey and physical examination averaged 7 minutes 31 seconds (range 1 to 20 minutes). Emergency medicine residents introduced themselves in only two thirds of encounters, rarely (8%) indicating their training status. Despite physician tendency (63%) to start with an open-ended question, only 20% of patients completed their presenting complaint without interruption. Average time to interruption (usually a closed question) was 12 seconds. Discharge instructions averaged 76 seconds (range 7 to 202 seconds). Information on diagnosis, expected course of illness, self-care, use of medications, time-specified follow-up, and symptoms that should prompt return to the ED were each discussed less than 65% of the time. Only 16% of patients were asked whether they had questions, and there were no instances in which the provider confirmed patient understanding of the information. Conclusion: Academic EDs present unique challenges to effective communication. In our study, the physician-patient encounter was brief and lacking in important health information. Provision of patient-centered care in academic EDs will require more provider education and significant system support

Drug problems among homeless individuals in Toronto, Canada: prevalence, drugs of choice, and relation to health status

<p>Abstract</p> <p>Background</p> <p>Drug use is believed to be an important factor contributing to the poor health and increased mortality risk that has been widely observed among homeless individuals. The objective of this study was to determine the prevalence and characteristics of drug use among a representative sample of homeless individuals and to examine the association between drug problems and physical and mental health status.</p> <p>Methods</p> <p>Recruitment of 603 single men, 304 single women, and 284 adults with dependent children occurred at homeless shelters and meal programs in Toronto, Canada. Information was collected on demographic characteristics and patterns of drug use. The Addiction Severity Index was used to assess whether participants suffered from drug problems. Associations of drug problems with physical and mental health status (measured by the SF-12 scale) were examined using regression analyses.</p> <p>Results</p> <p>Forty percent of the study sample had drug problems in the last 30 days. These individuals were more likely to be single men and less educated than those without drug problems. They were also more likely to have become homeless at a younger age (mean 24.8 vs. 30.9 years) and for a longer duration (mean 4.8 vs. 2.9 years). Marijuana and cocaine were the most frequently used drugs in the past two years (40% and 27%, respectively). Drug problems within the last 30 days were associated with significantly poorer mental health status (-4.9 points, 95% CI -6.5 to -3.2) but not with poorer physical health status (-0.03 points, 95% CI -1.3 to 1.3)).</p> <p>Conclusions</p> <p>Drug use is common among homeless individuals in Toronto. Current drug problems are associated with poorer mental health status but not with poorer physical health status.</p

Hundreds of variants clustered in genomic loci and biological pathways affect human height

Most common human traits and diseases have a polygenic pattern of inheritance: DNA sequence variants at many genetic loci influence the phenotype. Genome-wide association (GWA) studies have identified more than 600 variants associated with human traits, but these typically explain small fractions of phenotypic variation, raising questions about the use of further studies. Here, using 183,727 individuals, we show that hundreds of genetic variants, in at least 180 loci, influence adult height, a highly heritable and classic polygenic trait. The large number of loci reveals patterns with important implications for genetic studies of common human diseases and traits. First, the 180 loci are not random, but instead are enriched for genes that are connected in biological pathways (P = 0.016) and that underlie skeletal growth defects (P < 0.001). Second, the likely causal gene is often located near the most strongly associated variant: in 13 of 21 loci containing a known skeletal growth gene, that gene was closest to the associated variant. Third, at least 19 loci have multiple independently associated variants, suggesting that allelic heterogeneity is a frequent feature of polygenic traits, that comprehensive explorations of already-discovered loci should discover additional variants and that an appreciable fraction of associated loci may have been identified. Fourth, associated variants are enriched for likely functional effects on genes, being over-represented among variants that alter amino-acid structure of proteins and expression levels of nearby genes. Our data explain approximately 10% of the phenotypic variation in height, and we estimate that unidentified common variants of similar effect sizes would increase this figure to approximately 16% of phenotypic variation (approximately 20% of heritable variation). Although additional approaches are needed to dissect the genetic architecture of polygenic human traits fully, our findings indicate that GWA studies can identify large numbers of loci that implicate biologically relevant genes and pathways.

Physician Characteristics Associated With Ordering 4 Low-Value Screening Tests in Primary Care

Importance: Efforts to reduce low-value tests and treatments in primary care are often ineffective. These efforts typically target physicians broadly, most of whom order low-value care infrequently. Objectives: To measure physician-level use rates of 4 low-value screening tests in primary care to investigate the presence and characteristics of primary care physicians who frequently order low-value care. Design, Setting, and Participants: A retrospective cohort study was conducted using administrative health care claims collected between April 1, 2012, and March 31, 2016, in Ontario, Canada. This study measured use of 4 low-value screening tests-repeated dual-energy x-ray absorptiometry (DXA) scans, electrocardiograms (ECGs), Papanicolaou (Pap) tests, and chest radiographs (CXRs)-among low-risk outpatients rostered to a common cohort of primary care physicians. Exposures: Physician sex, years since medical school graduation, and primary care model. Main Outcomes and Measures: This study measured the number of tests to which a given physician ranked in the top quintile by ordering rate. The resulting cross-test score (range, 0-4) reflects a physician's propensity to order low-value care across screening tests. Physicians were then dichotomized into infrequent or isolated frequent users (score, 0 or 1, respectively) or generalized frequent users for 2 or more tests (score, ≥2). Results: The final sample consisted of 2394 primary care physicians (mean [SD] age, 51.3 [10.0] years; 50.2% female), who were predominantly Canadian medical school graduates (1701 [71.1%]), far removed from medical school graduation (median, 25.3 years; interquartile range, 17.3-32.3 years), and reimbursed via fee-for-service in a family health group (1130 [47.2%]), far removed from medical school graduation (median, 25.3 years; interquartile range, 17.3-32.3 years), and reimbursed via fee-for-service in a family health group (1130 [47.2%). They ordered 302 509 low-value screening tests (74 167 DXA scans, 179 855 ECGs, 19 906 Pap tests, and 28 581 CXRs) after 3 428 557 ordering opportunities. Within the cohort, generalized frequent users represented 18.4% (441 of 2394) of physicians but ordered 39.2% (118 665 of 302 509) of all low-value screening tests. Physicians who were male (odds ratio, 1.29; 95% CI, 1.01-1.64), further removed from medical school graduation (odds ratio, 1.03; 95% CI, 1.02-1.04), or in an enhanced fee-for-service payment model (family health group) vs a capitated payment model (family health team) (odds ratio, 2.04; 95% CI, 1.42-2.94) had increased odds of being generalized frequent users. Conclusions and Relevance: This study identified a group of primary care physicians who frequently ordered low-value screening tests. Tailoring future interventions to these generalized frequent users might be an effective approach to reducing low-value care