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Health & Place Jun 2024Traditional planning processes have perpetuated the exclusion of historically marginalized communities, imposing vulnerability to climate (health) crises. We investigate...
Exploring ownership of change and health equity implications in neighborhood change processes: A community-led approach to enhancing just climate resilience in Everett, MA.
Traditional planning processes have perpetuated the exclusion of historically marginalized communities, imposing vulnerability to climate (health) crises. We investigate how ownership of change fosters equitable climate resilience and community well-being through participatory action research. Our study highlights the detrimental effects of climate gentrification on community advocacy for climate security and health, negatively impacting well-being. We identify three key processes of ownership of change: ownership of social identity, development and decision-making processes, and knowledge. These approaches emphasize community-led solutions to counter climate health challenges and underscore the interdependence of social and environmental factors in mental health outcomes in climate-stressed communities.
PubMed: 38941653
DOI: 10.1016/j.healthplace.2024.103294 -
JMIR Public Health and Surveillance Jun 2024Suicide is a significant public health issue. Many risk prediction tools have been developed to estimate an individual's risk of suicide. Risk prediction models can go...
BACKGROUND
Suicide is a significant public health issue. Many risk prediction tools have been developed to estimate an individual's risk of suicide. Risk prediction models can go beyond individual risk assessment; one important application of risk prediction models is population health planning. Suicide is a result of the interaction among the risk and protective factors at the individual, health care system, and community levels. Thus, policy and decision makers can play an important role in suicide prevention. However, few prediction models for the population risk of suicide have been developed.
OBJECTIVE
This study aims to develop and validate prediction models for the population risk of suicide using health administrative data, considering individual-, health system-, and community-level predictors.
METHODS
We used a case-control study design to develop sex-specific risk prediction models for suicide, using the health administrative data in Quebec, Canada. The training data included all suicide cases (n=8899) that occurred from January 1, 2002, to December 31, 2010. The control group was a 1% random sample of living individuals in each year between January 1, 2002, and December 31, 2010 (n=645,590). Logistic regression was used to develop the prediction models based on individual-, health care system-, and community-level predictors. The developed model was converted into synthetic estimation models, which concerted the individual-level predictors into community-level predictors. The synthetic estimation models were directly applied to the validation data from January 1, 2011, to December 31, 2019. We assessed the performance of the synthetic estimation models with four indicators: the agreement between predicted and observed proportions of suicide, mean average error, root mean square error, and the proportion of correctly identified high-risk regions.
RESULTS
The sex-specific models based on individual data had good discrimination (male model: C=0.79; female model: C=0.85) and calibration (Brier score for male model 0.01; Brier score for female model 0.005). With the regression-based synthetic models applied in the validation data, the absolute differences between the synthetic risk estimates and observed suicide risk ranged from 0% to 0.001%. The root mean square errors were under 0.2. The synthetic estimation model for males correctly predicted 4 of 5 high-risk regions in 8 years, and the model for females correctly predicted 4 of 5 high-risk regions in 5 years.
CONCLUSIONS
Using linked health administrative databases, this study demonstrated the feasibility and the validity of developing prediction models for the population risk of suicide, incorporating individual-, health system-, and community-level variables. Synthetic estimation models built on routinely collected health administrative data can accurately predict the population risk of suicide. This effort can be enhanced by timely access to other critical information at the population level.
Topics: Humans; Quebec; Male; Suicide; Female; Case-Control Studies; Adult; Risk Assessment; Middle Aged; Aged; Adolescent; Young Adult; Risk Factors
PubMed: 38941610
DOI: 10.2196/52773 -
JMIR Formative Research Jun 2024Higher availability of alcohol is associated with higher levels of alcohol consumption and harm. Alcohol is increasingly accessible online, with rapid delivery often...
BACKGROUND
Higher availability of alcohol is associated with higher levels of alcohol consumption and harm. Alcohol is increasingly accessible online, with rapid delivery often offered by a third-party driver. Remote delivery and online availability are important from a public health perspective, but to date, relatively little research has explored the availability of alcohol offered by online platforms.
OBJECTIVE
This cross-sectional exploratory study describes the availability of alcohol on the third-party platform Deliveroo within London, England.
METHODS
We extracted the number of outlets offering alcohol on Deliveroo for each London borough and converted these into crude rates per 1000 population (18-64 years). Outlets were grouped as outlets exclusively selling alcohol, off-licenses, and premium. We calculated Pearson correlation coefficients to explore the association between borough's crude rate of outlets per 1000 population and average Indices of Multiple Deprivation (IMD) 2019 scores. We extracted the number of outlets also selling tobacco or e-cigarettes and used non-Deliveroo drivers. We searched addresses of the top 20 outlets delivering to the most boroughs by outlet type (60 total) to determine their associated premise.
RESULTS
We identified 4277 total Deliveroo-based outlets offering alcohol across London, including outlets delivering in multiple boroughs. The crude rate of outlets per 1000 population aged 18-64 years was 0.73 and ranged from 0.22 to 2.29 per borough. Most outlets exclusively sold alcohol (3086/4277, 72.2%), followed by off-licenses (770/4277, 18.0%) and premium (421/4277, 9.8%). The majority of outlets exclusively selling alcohol sold tobacco or e-cigarettes (2951/3086, 95.6%) as did off-licenses to a lesser extent (588/770, 76.4%). Most outlets exclusively offering alcohol used drivers not employed by Deliveroo (2887/3086, 93.6%), and the inverse was true for premium outlets (50/421, 11.9%) and off-licenses (73/770, 9.5%). There were 1049 unique outlets, of which 396 (37.8%) were exclusively offering alcohol-these outlets tended to deliver across multiple boroughs unlike off-licenses and premium outlets. Of outlets with confirmed addresses, self-storage units were listed as the associated premise for 85% (17/20) of outlets exclusively offering alcohol, 11% (2/19) of off-licenses, and 12% (2/17) of premium outlets. We found no significant relationship between borough IMD scores and crude rate of outlets per 1000 population overall (P=.87) or by any outlet type: exclusively alcohol (P=.41), off-license (P=.58), and premium (P=.18).
CONCLUSIONS
London-based Deliveroo outlets offering alcohol are common and are sometimes operating from self-storage units that have policies prohibiting alcohol storage. This and the potential for increased alcohol accessibility online have implications for public health given the relationship between alcohol's availability and consumption or harm. There is a need to ensure that regulations for delivery are adequate for protecting children and vulnerable adults. The Licensing Act 2003 may require modernization in the digital age. Future research must explore a relationship between online alcohol availability and deprivation.
PubMed: 38941596
DOI: 10.2196/54587 -
JMIR Formative Research Jun 2024Conduct disorder increases risks of educational dropout, future mental illness, and incarceration if untreated. First-line treatment of conduct disorder involves...
BACKGROUND
Conduct disorder increases risks of educational dropout, future mental illness, and incarceration if untreated. First-line treatment of conduct disorder involves evidence-based parenting skills programs. Time-outs, a frequent tool in these programs, can be effective at improving behavior, and recent apps have been developed to aid this process. However, these apps promote the use of time-outs in inconsistent or developmentally inappropriate ways, potentially worsening behavior problems. Digital microinterventions like these apps could guide parents through high-quality time-outs in the moment, but current time-out apps lack features promoting adherence to the evidence-based best practice. Agile scrum is a respected approach in the software development industry.
OBJECTIVE
We aimed to explore the feasibility of using the agile scrum approach to build a digital microintervention to help parents deliver an evidence-based time-out.
METHODS
The agile scrum methodology was used. Four sprints were conducted. Figma software was used for app design and wireframing. Insights from 42 expert stakeholders were used during 3 sprint reviews. We consulted experts who were identified from councils around the Midlands region of the United Kingdom and charities through personal contacts and a snowballing approach.
RESULTS
Over 4 development sprints from August 2022 to March 2023, the app was iteratively designed and refined based on consultation with a diverse group of 42 experts who shared their knowledge about the content of common parenting programs and the challenges parents commonly face. Modifications made throughout the process resulted in significant app enhancements, including tailored timer algorithms and enhanced readability, as well as an onboarding zone, mindfulness module, and pictorial information to increase inclusivity. By the end of the fourth sprint, the app was deemed ready for home use by stakeholders, demonstrating the effectiveness of our agile scrum development approach.
CONCLUSIONS
We developed an app to support parents to use the evidence-based time-out technique. We recommend the agile scrum approach to create mobile health apps. Our experience highlights the valuable role that frontline health and social care professionals, particularly those working with vulnerable families, can play as experts in scrum reviews. There is a need for research to both evaluate the impact of digital microinterventions on child behavioral change and also create digital microinterventions that cater to non-English speakers and individuals who participate in parenting programs in settings outside the United Kingdom.
PubMed: 38941594
DOI: 10.2196/54892 -
Quality Management in Health CareHospitals and clinicians increasingly are reimbursed based on quality of care through financial incentives tied to value-based purchasing. Patient-centered care,... (Observational Study)
Observational Study
BACKGROUND AND OBJECTIVES
Hospitals and clinicians increasingly are reimbursed based on quality of care through financial incentives tied to value-based purchasing. Patient-centered care, measured through patient experience surveys, is a key component of many quality incentive programs. We hypothesize that operational aspects such as wait times are an important element of emergency department (ED) patient experience. The objectives of this paper are to determine (1) the association between ED wait times and patient experience and (2) whether patient comments show awareness of wait times.
METHODS
This is a cross-sectional observational study from January 1, 2019, to December 31, 2020, across 16 EDs within a regional health care system. Patient and operations data were obtained as secondary data through internal sources and merged with primary patient experience data from our data analytics team. Dependent variables are (1) the association between ED wait times in minutes and patient experience ratings and (2) the association between wait times in minutes and patient comments including the term wait (yes/no). Patients rated their "likelihood to recommend (LTR) an ED" on a 0 to 10 scale (categories: "Promoter" = 9-10, "Neutral" = 7-8, or "Detractor" = 0-6). Our aggregate experience rating, or Net Promoter Score (NPS), is calculated by the following formula for each distinct wait time (rounded to the nearest minute): NPS = 100* (# promoters - # detractors)/(# promoters + # neutrals + # detractors). Independent variables for patient age and gender and triage acuity, were included as potential confounders. We performed a mixed-effect multivariate ordinal logistic regression for the rating category as a function of 30 minutes waited. We also performed a logistic regression for the percentage of patients commenting on the wait as a function of 30 minutes waited. Standard errors are adjusted for clustering between the 16 ED sites.
RESULTS
A total of 50 833 unique participants completed an experience survey, representing a response rate of 8.1%. Of these respondents, 28.1% included comments, with 10.9% using the term "wait." The odds ratio for association of a 30-minute wait with LTR category is 0.83 [0.81, 0.84]. As wait times increase, the odds of commenting on the wait increase by 1.49 [1.46, 1.53]. We show policy-relevant bubble plot visualizations of these two relationships.
CONCLUSIONS
Patients were less likely to give a positive patient experience rating as wait times increased, and this was reflected in their comments. Improving on the factors contributing to ED wait times is essential to meeting health care systems' quality initiatives.
Topics: Humans; Emergency Service, Hospital; Waiting Lists; Cross-Sectional Studies; Male; Patient Satisfaction; Female; Middle Aged; Adult; Time Factors; Aged; Adolescent; Young Adult
PubMed: 38941584
DOI: 10.1097/QMH.0000000000000460 -
Quality Management in Health CarePatient satisfaction surveys are implemented as an essential quality improvement tool in healthcare markets. This study investigates patient satisfaction in public...
BACKGROUND AND OBJECTIVES
Patient satisfaction surveys are implemented as an essential quality improvement tool in healthcare markets. This study investigates patient satisfaction in public secondary and tertiary hospitals and identifies factors contributing to inpatient satisfaction, particularly trust-related factors, to eventually improve the quality of care in the healthcare system.
METHODS
A population-based cross-sectional survey was conducted between February and April 2021 in 31 Chinese provinces. Telephone interviews with computer assistance were used to gather data. Spearman Rank Correlation was used to analyze satisfaction with hospitalization services between secondary and tertiary hospitals. Multiple Linear Regression was used to determine the influencing factors of overall patient satisfaction.
RESULTS
Inpatients reported more satisfaction with inpatient care when doctors treated them respectfully (p < 0.01). Inpatients with higher self-identified social class reported higher satisfaction (p < 0.01). Inpatients who trust in most people in society (p < 0.01) and trust in the Chinese healthcare system (p < 0.01) reported higher satisfaction. Female inpatients reported higher overall satisfaction (p < 0.01).
CONCLUSIONS
The study of Chinese inpatients in secondary and tertiary hospitals highlighted the importance of respect from doctors, their self-identified social class, and their trust in influencing satisfaction during their hospital stay and called for additional research into policy measures.
Topics: Humans; Female; Patient Satisfaction; Male; China; Trust; Cross-Sectional Studies; Tertiary Care Centers; Middle Aged; Adult; Hospitals, Public; Inpatients; Aged; Young Adult; Adolescent; Physician-Patient Relations; Sex Factors; Social Class; Quality of Health Care
PubMed: 38941583
DOI: 10.1097/QMH.0000000000000480 -
Quality Management in Health CarePatient experience narratives (narratives) are an increasingly important element of both measurement approaches and improvement efforts in healthcare. Prior studies show...
BACKGROUND AND OBJECTIVES
Patient experience narratives (narratives) are an increasingly important element of both measurement approaches and improvement efforts in healthcare. Prior studies show that narratives are considered by both clinicians and staff to be an appealing, meaningful, and credible form of evidence on performance. They also suggest that making concrete use of narratives within organizational settings to improve care can be complex and challenging. Our qualitative study was designed to explore how middle managers working in a health system's outpatient clinics value and use written narratives in their day-to-day work.
METHODS
We conducted qualitative interviews with 20 middle managers working in 8 outpatient clinics. Interviews were fully transcribed, loaded into MAX-QDA software, and coded using thematic analysis techniques. Code reports were extracted and reanalyzed for subthemes related to the objectives of this paper.
RESULTS
Middle managers across sites described valuing narratives as a tool to: enable better patient experience assessment by augmenting data from patient experience scores; deepen understanding of and relationships with patients; provide insight about operational issues; identify areas for needed improvement and potential solutions; and facilitate strategic work. They reported using narratives for a range of activities related to their roles as supervisors, such as focusing attention on positive practices and needed improvements, promoting deeper group learning, motivating change, reinforcing sense of purpose for staff, recognizing staff strengths and training needs, and inspiring transformational thinking. Finally, interviewees reported numerous specific quality improvement projects (both short- and longer-term) that were informed by narratives-for example, by identifying an issue to be addressed or by suggesting a workable solution. Together, these interviews suggest a collective "narrative about narratives" woven by these organizational actors-a story which illustrates how narratives are highly relevant for how middle managers derive meaning from their work, put organizational values such as responsive service provision into practice, and enact their roles as supervisors.
CONCLUSIONS
Our results add to the nascent literature a detailed description of how narratives can be used both as a tool for middle managers in their leadership and supervisory roles, and as a blueprint for improvement work within outpatient settings. They also illuminate why patient experience scores may improve when narrative data are collected and used. Finally, our results suggest that for middle managers, perhaps "nothing is more powerful than words" because narratives function as both an insight provider and a compelling tool that adds direction and meaning to workplace endeavors.
Topics: Humans; Qualitative Research; Narration; Quality Improvement; Patient Satisfaction; Interviews as Topic; Ambulatory Care Facilities; Female; Male
PubMed: 38941581
DOI: 10.1097/QMH.0000000000000477 -
Nursing Inquiry Jun 2024This article explores the application of actor-network theory (ANT) to the nursing profession, proposing a novel perspective in understanding nursing in the context of...
This article explores the application of actor-network theory (ANT) to the nursing profession, proposing a novel perspective in understanding nursing in the context of modern digital healthcare. Traditional grand nursing theories, while foundational, often fail to encapsulate the dynamic and complex nature of nursing, particularly in an era of rapid technological advancements and shifting societal dynamics. ANT, with its emphasis on the relationships between human and nonhuman actors, offers a framework to understand nursing beyond traditional paradigms. This article makes two key arguments: first, that nursing can be viewed as a highly organised social assemblage, where both human (nurses, patients and policymakers) and nonhuman actors (technologies, medical equipment, institutional policies) play a crucial role, and second, that ANT can be used to enhance existing nursing theory to better understand the role of technology in nursing practice. The article considers how ANT can provide a more holistic and adaptable model for describing the nursing profession, particularly in an era where technology plays an integral role in healthcare delivery. It discusses the implications of viewing nursing through ANT, highlighting the need for nursing education and practice to adapt to the interconnected and technologically advanced nature of modern healthcare. The article also acknowledges the limitations of ANT, particularly its potential oversimplification of the complex ethical dimensions inherent in nursing and its focus on observable phenomena.
PubMed: 38941564
DOI: 10.1111/nin.12655 -
Cancer Jun 2024Clinical trials conducted by the Intergroup Rhabdomyosarcoma (RMS) Study Group and the Children's Oncology Group have been pivotal to establishing current standards for...
Clinical trials conducted by the Intergroup Rhabdomyosarcoma (RMS) Study Group and the Children's Oncology Group have been pivotal to establishing current standards for diagnosis and therapy for RMS. Recent advancements in understanding the biology and clinical behavior of RMS have led to more nuanced approaches to diagnosis, risk stratification, and treatment. The complexities introduced by these advancements, coupled with the rarity of RMS, pose challenges to conducting large-scale phase 3 clinical trials to evaluate new treatment strategies for RMS. Given these challenges, systematic planning of future clinical trials in RMS is paramount to address pertinent questions regarding the therapeutic efficacy of drugs, biomarkers of response, treatment-related toxicity, and patient quality of life. Herein, the authors outline the proposed strategic approach of the Children's Oncology Group Soft Tissue Sarcoma Committee to the next generation of RMS clinical trials, focusing on five themes: improved novel agent identification and preclinical to clinical translation, more efficient trial development and implementation, expanded opportunities for knowledge generation during trials, therapeutic toxicity reduction and quality of life, and patient engagement.
PubMed: 38941509
DOI: 10.1002/cncr.35457 -
Cancer Jun 2024Seasonal variations in systemic immunity have been reported. This study aimed to evaluate whether seasonality affects the efficacy of anticancer immunotherapy.
BACKGROUND
Seasonal variations in systemic immunity have been reported. This study aimed to evaluate whether seasonality affects the efficacy of anticancer immunotherapy.
METHODS
A total of 604 patients with lung cancer receiving single anti-programmed cell death (ligand) 1 (anti-PD-[L]1) inhibitors from two prospective observational cohorts were screened. Primary outcomes were progression-free survival (PFS) and overall survival (OS). Patients were classified into two groups according to the season when the treatment started: winter (November-February) and other seasons (March-October). Kaplan-Meier analysis and Cox proportional hazards models were fitted to evaluate the impact of seasonality on survival. For validation, propensity score matching was performed.
RESULTS
A total of 484 patients with advanced non-small cell lung cancer were included. In an unmatched population, multivariable analysis demonstrated that the winter group (n = 173) had a significantly lower risk of progression or death from immunotherapy than the other group (n = 311) (PFS: hazard ratio [HR], 0.77 [95% confidence interval (CI), 0.62-0.96]; p = .018; OS: HR, 0.77 [95% CI, 0.1-0.98]; p = .032). In a propensity score-matched population, the winter group (n = 162) showed significantly longer median PFS (2.8 months [95% CI, 1.9-4.1 months] vs. 2.0 months [95% CI, 1.4-2.7 months]; p = .009) than the other group (n = 162). The winter group's median OS was also significantly longer than that of the other group (13.4 months [95% CI, 10.2-18.0 months] vs. 8.0 months [95% CI, 3.6-8.7 months]; p = .012). The trend toward longer survival in the winter group continued in subgroup analyses.
CONCLUSIONS
Starting an anti-PD-(L)1 inhibitor in winter was associated with better treatment outcomes in patients with lung cancer compared to other seasons.
PubMed: 38941496
DOI: 10.1002/cncr.35454