Corrigendum: Wastewater-based surveillance identifies start to the pediatric respiratory syncytial virus season in two cities in Ontario, Canada.

[This corrects the article DOI: 10.3389/fpubh.2023.1261165.].

Wastewater-based surveillance identifies start to the pediatric respiratory syncytial virus season in two cities in Ontario, Canada.

Introduction: Detection of community respiratory syncytial virus (RSV) infections informs the timing of immunoprophylaxis programs and hospital preparedness for surging pediatric volumes. In many jurisdictions, this relies upon RSV clinical test positivity and hospitalization (RSVH) trends, which are lagging indicators. Wastewater-based surveillance (WBS) may be a novel strategy to accurately identify the start of the RSV season and guide immunoprophylaxis administration and hospital preparedness. Methods: We compared citywide wastewater samples and pediatric RSVH in Ottawa and Hamilton between August 1, 2022, and March 5, 2023. 24-h composite wastewater samples were collected daily and 5 days a week at the wastewater treatment facilities in Ottawa and Hamilton, Ontario, Canada, respectively. RSV WBS samples were analyzed in real-time for RSV by RT-qPCR. Results: RSV WBS measurements in both Ottawa and Hamilton showed a lead time of 12 days when comparing the WBS data set to pediatric RSVH data set (Spearman's ρ = 0.90). WBS identify early RSV community transmission and declared the start of the RSV season 36 and 12 days in advance of the provincial RSV season start (October 31) for the city of Ottawa and Hamilton, respectively. The differing RSV start dates in the two cities is likely associated with geographical and regional variation in the incidence of RSV between the cities. Discussion: Quantifying RSV in municipal wastewater forecasted a 12-day lead time of the pediatric RSVH surge and an earlier season start date compared to the provincial start date. These findings suggest an important role for RSV WBS to inform regional health system preparedness, reduce RSV burden, and understand variations in community-related illness as novel RSV vaccines and monoclonal antibodies become available.

Clinical public health: harnessing the best of both worlds in sickness and in health. / Santé publique clinique : exploiter le meilleur des deux mondes pour la santé comme pour le traitement des maladies.

INTRODUCTION: Effective, sustained collaboration between clinical and public health professionals can lead to improved individual and population health. The concept of clinical public health promotes collaboration between clinical medicine and public health to address complex, real-world health challenges. In this commentary, we describe the concept of clinical public health, the types of complex problems that require collaboration between individual and population health, and the barriers towards and applications of clinical public health that have become evident during the COVID-19 pandemic. RATIONALE: The focus of clinical medicine on the health of individuals and the aims of public health to promote and protect the health of populations are complementary. Interdisciplinary collaborations at both levels of health interventions are needed to address complex health problems. However, there is a need to address the disciplinary, cultural and financial barriers to achieving greater and sustained collaboration. Recent successes, particularly during the COVID-19 pandemic, provide a model for such collaboration between clinicians and public health practitioners. CONCLUSION: A public health approach that fosters ongoing collaboration between clinical and public health professionals in the face of complex health threats will have greater impact than the sum of the parts.

INTRODUCTION: Une collaboration efficace et soutenue entre cliniciens et professionnels en santé publique peut améliorer la santé des individus et la santé de la population. Le concept de santé publique clinique favorise cette collaboration entre médecine clinique et santé publique et permet de relever des défis complexes en matière de santé. Dans ce commentaire, nous décrivons le concept de santé publique clinique, les types de problèmes complexes qui nécessitent une collaboration entre les professionnels responsables de la santé des individus et ceux responsables de la santé de la population, de même que les obstacles à la santé publique clinique et les applications de la santé publique clinique qui ont émergé pendant la pandémie de COVID-19. ARGUMENTAIRE: Il existe une complémentarité entre la médecine clinique, qui est axée sur la santé des individus, et la santé publique, qui est axée sur la promotion et la protection de la santé des populations. Une collaboration entre ces deux disciplines est nécessaire pour résoudre les problèmes de santé complexes. Pour ce faire, toutefois, il convient de s'attaquer aux obstacles relatifs aux disciplines, ainsi qu'aux obstacles culturels et financiers qui empêchent une collaboration accrue et durable en la matière. Les succès récents, particulièrement durant la pandémie de COVID-19, constituent un modèle de collaboration de ce type entre cliniciens et praticiens en santé publique. CONCLUSION: Une approche en matière de santé publique qui favorise une collaboration permanente entre cliniciens et professionnels en santé publique pour lutter contre des menaces sanitaires complexes aura plus d'impact que la somme de ses parties.

Defining Clinical Public Health.

PURPOSE: To solve complex health issues, an innovative and multidisciplinary framework is necessary. The Clinical Public Health (CPH) Division was established at the University of Toronto (UofT), Canada to foster inte-gration of primary care, preventive medicine and public health in education, practice and research. To better understand how the construct of CPH might be applied, we surveyed clinicians, researchers and public health professionals affiliated with the CPH Division to assess their understanding of the CPH concept and its utility in fostering broad collaboration. METHODS: A two-wave anonymous survey of the active faculty of the CPH Division, UofT was conducted across Canada. Wave 1 participants (n = 187; 2016) were asked to define CPH, while Wave 2 participants (n = 192; 2017) were provided a synthesis of Wave 1 results and asked to rank each definition. Both waves were asked about the need for a common definition, and to comment on CPH. RESULTS: Response rates for the first and second waves were 25% and 22%, respectively. Of the six definitions of CPH from Wave 1, "the intersection of clinical practice and public health," was most highly ranked by Wave 2 participants. Positive perceptions of CPH included multidisciplinary collaboration, new fields and insights, forward thinking and innovation. Negative perceptions included CPH being a confusing term, too narrow in scope or too clinical. CONCLUSION: The concept of Clinical Public Health can foster multidisciplinary collaboration to address com-plex health issues because it provides a useful framework for bringing together key disciplines and diverse professional specialties.

Characteristics of Anti-SARS-CoV-2 Antibodies in Recovered COVID-19 Subjects.

Coronavirus Disease 2019 (COVID-19) is a global pandemic caused by the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). While detection of SARS-CoV-2 by polymerase chain reaction with reverse transcription (RT-PCR) is currently used to diagnose acute COVID-19 infection, serological assays are needed to study the humoral immune response to SARS-CoV-2. Anti-SARS-CoV-2 immunoglobulin (Ig)G/A/M antibodies against spike (S) protein and its receptor-binding domain (RBD) were characterized in recovered subjects who were RT-PCR-positive (n = 153) and RT-PCR-negative (n = 55) using an enzyme-linked immunosorbent assay (ELISA). These antibodies were also further assessed for their ability to neutralize live SARS-CoV-2 virus. Anti-SARS-CoV-2 antibodies were detected in 90.9% of resolved subjects up to 180 days post-symptom onset. Anti-S protein and anti-RBD IgG titers correlated (r = 0.5157 and r = 0.6010, respectively) with viral neutralization. Of the RT-PCR-positive subjects, 22 (14.3%) did not have anti-SARS-CoV-2 antibodies; and of those, 17 had RT-PCR cycle threshold (Ct) values > 27. These high Ct values raise the possibility that these indeterminate results are from individuals who were not infected or had mild infection that failed to elicit an antibody response. This study highlights the importance of serological surveys to determine population-level immunity based on infection numbers as determined by RT-PCR.

Integrating clinical medicine and population health: where to from here?

Efforts to contain healthcare costs have led a renewed clinician interest in addressing population-level outcomes, with some proposing that the integration of population health into clinical practice represents a novel concept entitled "clinical population medicine" (CPM). This commentary offers an examination of the function and utility of CPM. In reviewing relevant literature, we note several inconsistencies in CPM's purported mandate, which ranges from simply incorporating the social determinants of health into clinical practice to broad involvement in community health planning. The latter of these seems to overlap, and potentially conflict, with the work of public health practitioners, and cited examples of activities used to define "CPM" seem to apply a label to established clinician activities around the determinants of health that would be captured more simply as research, evaluation, or advocacy undertaken by clinicians in other areas of practice. Our analysis suggests that CPM may have value in encouraging clinicians to incorporate community determinants and contextual considerations into their practices, but must take care to remain complementary and distinct from public health practice.

Tumor size distribution of invasive breast cancers and the sensitivity of screening methods in the Canadian National Breast Screening Study.

INTRODUCTION: This study set out to explore if breast cancers of different sizes are detected with varying sensitivity. In addition, we attempt to determine the effect of tumor size on screening detectability. SUBJECTS AND METHODS: Data arising from the Canadian National Breast Screening Study (CNBSS) was used to perform all analyses. The CNBSS consists of two randomized controlled trials, which includes data on detection methods, age, and allocation groups. We stratified tumor size by 5 mm; age into 40-49 and 50-59 years age groups; and cancer detection or presentation methods into mammography only, physical breast examination only, both mammography and physical breast examination, interval cancers, and incident cancers. RESULTS: This study revealed that a difference in tumor size exists for age (smaller tumor sizes are found in older women) and breast cancer detection or presentation modes. More specifically, breast cancers detected by mammography screening are statistically smaller than those detected by physical breast examination or those presenting as incident or interval cancers. This study also found that tumor size affects screening detectability for women in their 50's but not in their forties. That is, a statistically significant difference between mammography screening alone and physical examination alone was observed for women between the ages of 50-59 for tumor sizes up to 20 mm, including prevalent cases, and up to 15 mm when prevalent cases were excluded. CONCLUSION: The results of this study suggest that smaller breast cancers are more likely to be detected among women in their 50s.

Exploring the experience of residents during the first six months of family medicine residency training.

BACKGROUND: The shift from undergraduate to postgraduate education signals a new phase in a doctor's training. This study explored the resident's perspective of how the transition from undergraduate to postgraduate (PGME) training is experienced in a Family Medicine program as they first meet the reality of feeling and having the responsibility as a doctor. METHODS: Qualitative methods explored resident experiences using interpretative inquiry through monthly, individual in-depth interviews with five incoming residents during the first six months of training. Focus groups were also held with residents at various stages of training to gather their reflection about their experience of the first six months. Residents were asked to describe their initial concerns, changes that occurred and the influences they attributed to those changes. RESULTS: Residents do not begin a Family Medicine PGME program knowing what it means to be a Family Physician, but learn what it means to fulfill this role. This process involves adjusting to significant shifts in responsibility in the areas of Knowledge, Practice Management, and Relationships as they become more responsible for care outcomes. CONCLUSION: This study illuminated the resident perspective of how the transition is experienced. This will assist medical educators to better understand the early training experiences of residents, how these experiences contribute to consolidating their new professional identity, and how to better align teaching strategies with resident learning needs.

Using Simulation to Model and Validate Invasive Breast Cancer Progression in Women in the Study and Control Groups of the Canadian National Breast Screening Studies I and II.

BACKGROUND: Modeling breast cancer progression and the effect of various risk is helpful in deciding when a woman should start and end screening, and how often the screening should be undertaken. METHODS: We modeled the natural progression of breast cancer using a hidden Markov process, and incorporated the effects of covariates. Patients are women aged 50-59 (older) and 40-49 (younger) years from the Canadian National Breast Screening Studies. We included prevalent cancers, estimated the screening sensitivities and rates of over-diagnosis, and validated the models using simulation. RESULTS: We found that older women have a higher rate of transition from a healthy to preclinical state and other causes of death but a lower rate of transition from preclinical to clinical state. Reciprocally, younger women have a lower rate of transition from a healthy to preclinical state and other causes of death but a higher rate of transition from a preclinical to clinical state. Different risk factors were significant for the age groups. The mean sojourn times for older and younger women were 2.53 and 2.96 years, respectively. In the study group, the sensitivities of the initial physical examination and mammography for older and younger women were 0.87 and 0.81, respectively, and the sensitivity of the subsequent screens were 0.78 and 0.53, respectively. In the control groups, the sensitivities of the initial physical examination for older and younger women were 0.769 and 0.671, respectively, and the sensitivity of the subsequent physical examinations for the control group aged 50-59 years was 0.37. The upper-bounds for over-diagnosis in older and younger women were 25% and 27%, respectively. CONCLUSIONS: The present work offers a basis for the better modeling of cancer incidence for a population with the inclusion of prevalent cancers.

Choosing Wisely® in Preventive Medicine: The American College of Preventive Medicine's Top 5 List of Recommendations.

The Choosing Wisely(®) initiative is a national campaign led by the American Board of Internal Medicine Foundation, focused on quality improvement and advancing a dialogue on avoiding wasteful or unnecessary medical tests, procedures, and treatments. The American College of Preventive Medicine (ACPM) Prevention Practice Committee is an active participant in the Choosing Wisely project. The committee created the ACPM Choosing Wisely Task Force to lead the development of ACPM's recommendations with the intention of facilitating wise decisions about the appropriate use of preventive care. After utilizing an iterative process that involved reviewing evidence-based literature, the ACPM Choosing Wisely Task Force developed five recommendations targeted toward overused services within the field of preventive medicine. These include: (1) don't take a multivitamin, vitamin E, or beta carotene to prevent cardiovascular disease or cancer; (2) don't routinely perform prostate-specific antigen-based screening for prostate cancer; (3) don't use whole-body scans for early tumor detection in asymptomatic patients; (4) don't use expensive medications when an equally effective and lower-cost medication is available; and (5) don't perform screening for cervical cancer in low-risk women aged 65 years or older and in women who have had a total hysterectomy for benign disease. The Task Force also reviewed some of the barriers to implementing these recommendations, taking into account the interplay between system and environmental characteristics, and identified specific strategies necessary for timely utilization of these recommendations.

The American College of Preventive Medicine Position Statement on Hepatitis C Virus Infection.

The American College of Preventive Medicine Prevention Practice Committee contributes to policy guidelines and recommendations on preventive health topics for clinicians and public health decision makers. After review of the currently available evidence, the College is providing a consensus-based set of recommendations designed to increase screening for and prevention of hepatitis C virus infection, increase linkage to care, improve access to treatment, and encourage development of hepatitis C virus-related quality measures.

Preventing texting while driving: a statement of the American College of Preventive Medicine.

The American College of Preventive Medicine (ACPM) is providing a set of recommendations designed to reduce the morbidity and mortality associated with distractions due to texting while driving. According to the National Highway Traffic Safety Administration, 12% of all fatal crashes involving at least one distracted driver are estimated to be related to cell phone use while driving. Given the combination of visual, manual, and cognitive distractions posed by texting, this is an issue of major public health concern for communities. Therefore, the ACPM feels it is timely to discuss this issue and provide the following recommendations: 1. Encourage state legislatures to develop and pass legislation banning texting while driving, while simultaneously implementing comprehensive and dedicated law enforcement strategies including penalties for these violations. Legislatures should establish a public awareness campaign regarding the dangers of texting while driving as an integral part of this legislation. 2. Promote further research into the design and evaluation of educational tools regarding texting while driving that can be incorporated into the issuance of driver's licenses. 3. Provide primary care providers with the appropriate tools to educate patients of all ages. 4. Conduct additional studies investigating the risks associated with cell phone usage while driving, particularly texting, with motor vehicle crashes.

A look to the past as we look ahead: the specialty of public health medicine in Canada.

In February 2011, the medical specialty of Community Medicine was renamed as Public Health and Preventive Medicine (PHPM) to better reflect the roles and responsibilities of physician specialists in this field. While physician involvement in public health began in the early 20th century, the development of the formal PHPM specialty has closely paralleled the evolution of the Royal College of Physicians and Surgeons of Canada. At present, despite shortages identified in light of public health crises, recent specialist graduates in PHPM have reportedly experienced some difficulties finding optimal employment. This paper reviews the history and current situation of PHPM specialists, raising awareness of the issues in order to promote greater specialty planning coupled with improved integration and collaboration between clinical services and public health initiatives.

Predictors of competing mortality to invasive breast cancer incidence in the Canadian National Breast Screening study.

BACKGROUND: Evaluating the cost-effectiveness of breast cancer screening requires estimates of the absolute risk of breast cancer, which is modified by various risk factors. Breast cancer incidence, and thus mortality, is altered by the occurrence of competing events. More accurate estimates of competing risks should improve the estimation of absolute risk of breast cancer and benefit from breast cancer screening, leading to more effective preventive, diagnostic, and treatment policies. We have previously described the effect of breast cancer risk factors on breast cancer incidence in the presence of competing risks. In this study, we investigate the association of the same risk factors with mortality as a competing event with breast cancer incidence. METHODS: We use data from the Canadian National Breast Screening Study, consisting of two randomized controlled trials, which included data on 39 risk factors for breast cancer. The participants were followed up for the incidence of breast cancer and mortality due to breast cancer and other causes. We stratified all-cause mortality into death from other types of cancer and death from non-cancer causes. We conducted separate analyses for cause-specific mortalities. RESULTS: We found that "age at entry" is a significant factor for all-cause mortality, and cancer-specific and non-cancer mortality. "Menstruation length" and "number of live births" are significant factors for all-cause mortality, and cancer-specific mortality. "Ever noted lumps in right/left breasts" is a factor associated with all-cause mortality, and non-cancer mortality. CONCLUSIONS: For proper estimation of absolute risk of the main event of interest common risk factors associated with competing events should be identified and considered.

Incidence of invasive breast cancer in the presence of competing mortality: the Canadian National Breast Screening Study.

Mortality due to causes other than breast cancer is a potential competing risk which may alter the incidence probability of breast cancer and as such should be taken into account in predictive modelling. We used data from the Canadian National Breast Screening Study (CNBSS), which consist of two randomized controlled trials designed to evaluate the efficacy of mammography among women aged 40-59. The participants in the CNBSS were followed up for incidence of breast cancer and mortality due to breast cancer and other causes; this allowed us to construct a breast cancer risk prediction model while taking into account mortality for the same study population. In this study, we use 1980-1989 as the study period. We exclude the prevalent cancers from the CNBSS to estimate the probability of developing breast cancer, given the fact that women were cancer-free at the beginning of the follow-up. By the end of 1989, from 89,434 women, 944 (1.1 %) were diagnosed with invasive breast cancer, 922 (1.0 %) died from causes other than breast cancer, and 87,568 (97.9 %) were alive and not diagnosed with invasive breast cancer. We constructed a risk prediction model for invasive breast cancer based on 39 risk factors collected at the time of enrolment or the initial physical examination of the breasts. Age at entry (HR 1.07, 95 % CI 1.05-1.10), lumps ever found in left or right breast (HR 1.92, 95 % CI 1.19-3.10), abnormality in the left breast (HR 1.26, 95 % CI 1.07-1.48), history of other breast disease, family history of breast cancer score (HR 1.01, 95 % CI 1.00-1.01), years menstruating (HR 1.02, 95 % CI 1.01-1.03) and nulliparity (HR 1.70, 95 % CI 1.23-2.36) are the model's predictors. We investigated the effects of time-dependent factors. The model is well calibrated with a moderate discriminatory power (c-index 0.61, 95 % CI 0.59-0.63); we use it to predict the 9-year risk of developing breast cancer for women of different age groups. As an example, we estimated the probability of invasive cancer at 5 years after enrolment to be 0.00448, 0.00556, 0.00691, 0.00863, and 0.01034, respectively, for women aged 40, 45, 50, 55, and 59, all of whom had never noted lumps in their breasts, had 32 years of menstruating, 1-2 live births, no other types of breast disease and no abnormality found in their left breasts. The results of this study can be used by clinicians to identify women at high risk of breast cancer for screening intervention and to recommend a personalized intervention plan. The model can be also utilized by a woman as a breast cancer risk prediction tool.

Measuring data reliability for preventive services in electronic medical records.

BACKGROUND: Improvements in the quality of health care services are often measured using data present in medical records. Electronic Medical Records (EMRs) contain potentially valuable new sources of health data. However, data quality in EMRs may not be optimal and should be assessed. Data reliability (are the same data elements being measured over time?) is a prerequisite for data validity (are the data accurate?). Our objective was to measure the reliability of data for preventive services in primary care EMRs during the transition to EMR. METHODS: Our data sources were randomly selected eligible patients' medical records and data obtained from provincial administrative datasets. Eighteen community-based family physicians in Toronto, Ontario that implemented EMRs starting in 2006 participated in this study. We measured the proportion of patients eligible for a service (Pap smear, screening mammogram or influenza vaccination) that received the service. We compared the change in rates of selected preventive services calculated from the medical record audits with the change in administrative datasets. RESULTS: In the first year of EMR use (2006) services decreased by 8.7% more (95% CI -11.0%- - 6.4%, p < 0.0001) when measured through medical record audits as compared with administrative datasets. Services increased by 2.4% more (95% CI 0%-4.9%, p = 0.05) in the medical record audits during the second year of EMR use (2007). CONCLUSION: There were differences between the change measured through medical record audits and administrative datasets. Problems could include difficulties with organizing new data entry processes as well as continued use of both paper and EMRs. Data extracted from EMRs had limited reliability during the initial phase of EMR implementation. Unreliable data interferes with the ability to measure and improve health care quality.

Determining mortality rates attributable to Clostridium difficile infection.

To determine accuracy of measures of deaths attributable to Clostridium difficile infection, we compared 3 measures for 2007-2008 in Ontario, Canada: death certificate; death within 30 days of infection; and panel review. Data on death within 30 days were more feasible than panel review and more accurate than death certificate data.