ABSTRACT
BACKGROUND: Health outcomes are significantly influenced by unmet social needs. Although screening for social needs has become common in health care settings, there is often poor linkage to resources after needs are identified. The structural barriers (eg, staffing, time, and space) to helping address social needs could be overcome by a technology-based solution. OBJECTIVE: This study aims to present the design and evaluation of a chatbot, DAPHNE (Dialog-Based Assistant Platform for Healthcare and Needs Ecosystem), which screens for social needs and links patients and families to resources. METHODS: This research used a three-stage study approach: (1) an end-user survey to understand unmet needs and perception toward chatbots, (2) iterative design with interdisciplinary stakeholder groups, and (3) a feasibility and usability assessment. In study 1, a web-based survey was conducted with low-income US resident households (n=201). Following that, in study 2, web-based sessions were held with an interdisciplinary group of stakeholders (n=10) using thematic and content analysis to inform the chatbot's design and development. Finally, in study 3, the assessment on feasibility and usability was completed via a mix of a web-based survey and focus group interviews following scenario-based usability testing with community health workers (family advocates; n=4) and social workers (n=9). We reported descriptive statistics and chi-square test results for the household survey. Content analysis and thematic analysis were used to analyze qualitative data. Usability score was descriptively reported. RESULTS: Among the survey participants, employed and younger individuals reported a higher likelihood of using a chatbot to address social needs, in contrast to the oldest age group. Regarding designing the chatbot, the stakeholders emphasized the importance of provider-technology collaboration, inclusive conversational design, and user education. The participants found that the chatbot's capabilities met expectations and that the chatbot was easy to use (System Usability Scale score=72/100). However, there were common concerns about the accuracy of suggested resources, electronic health record integration, and trust with a chatbot. CONCLUSIONS: Chatbots can provide personalized feedback for families to identify and meet social needs. Our study highlights the importance of user-centered iterative design and development of chatbots for social needs. Future research should examine the efficacy, cost-effectiveness, and scalability of chatbot interventions to address social needs.
Subject(s)
Vulnerable Populations , Humans , Surveys and Questionnaires , Female , Needs Assessment , Adult , Male , Focus Groups , Middle AgedABSTRACT
Communities may often lack the resources to deliver intensive programs to assist teen mothers, and many eligible adolescents may decline participation in lengthy interventions. Therefore, alternative approaches involving less resource and time may be needed. Behavioral economics (BE) can inform the development of such novel interventions. BE often feature low-intensity approaches designed to "nudge" people to help them reach their long-term goals. Nudges can include giving reminders, making the desired behavior more convenient, and optimizing the verbal presentation of recommended options. Three hundred thirty-one American adolescents (ages 14 to 19) who were 22 to 35 weeks pregnant were enrolled in the present trial. One hundred sixty-six participants were randomly assigned to the intervention condition featuring a three-month BE intervention delivered by a registered nurse and social worker. The remaining 165 youths were assigned usual care. Surveys were completed at baseline, 3 months, 12 months, and 18 months. Data collection occurred from 2017 to 2021. Qualitative feedback indicated that the BE intervention was well-received by adolescents. However, there were no significant differences between the intervention and control groups at any time point regarding repeat pregnancy, contraceptive usage, financial literacy, school completion, job attainment, HPV vaccinations, nicotine usage, perception of having a medical home, urgent care/ED usage, and nutritional intake (all p > .05). Our findings suggest that a BE-based intervention may not be sufficient to facilitate change for teen mothers. Future programs should consider lasting longer, featuring a higher dose, and/or incorporating systems-level changes. This trial was prospectively registered (NCT03194672 clinicaltrials.gov).
Subject(s)
Economics, Behavioral , Pregnancy in Adolescence , Humans , Female , Adolescent , Pregnancy in Adolescence/prevention & control , Pregnancy , Young Adult , MothersABSTRACT
Purpose: We aim to interrogate the role of positron emission tomography (PET) image discretization parameters on the prognostic value of radiomic features in patients with oropharyngeal cancer. Approach: A prospective clinical trial (NCT01908504) enrolled patients with oropharyngeal squamous cell carcinoma (N=69; mixed HPV status) undergoing definitive radiotherapy and evaluated intra-treatment 18fluorodeoxyglucose PET as a potential imaging biomarker of early metabolic response. The primary tumor volume was manually segmented by a radiation oncologist on PET/CT images acquired two weeks into treatment (20 Gy). From this, 54 radiomic texture features were extracted. Two image discretization techniques-fixed bin number (FBN) and fixed bin size (FBS)-were considered to evaluate systematic changes in the bin number ({32, 64, 128, 256} gray levels) and bin size ({0.10, 0.15, 0.22, 0.25} bin-widths). For each discretization-specific radiomic feature space, an LASSO-regularized logistic regression model was independently trained to predict residual and/or recurrent disease. The model training was based on Monte Carlo cross-validation with a 20% testing hold-out, 50 permutations, and minor-class up-sampling to account for imbalanced outcomes data. Performance differences among the discretization-specific models were quantified via receiver operating characteristic curve analysis. A final parameter-optimized logistic regression model was developed by incorporating different settings parameterizations into the same model. Results: FBN outperformed FBS in predicting residual and/or recurrent disease. The four FBN models achieved AUC values of 0.63, 0.61, 0.65, and 0.62 for 32, 64, 128, and 256 gray levels, respectively. By contrast, the average AUC of the four FBS models was 0.53. The parameter-optimized model, comprising features joint entropy (FBN = 64) and information measure correlation 1 (FBN = 128), achieved an AUC of 0.70. Kaplan-Meier analyses identified these features to be associated with disease-free survival (p=0.0158 and p=0.0180, respectively; log-rank test). Conclusions: Our findings suggest that the prognostic value of individual radiomic features may depend on feature-specific discretization parameter settings.
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BACKGROUND: Delta radiomics is a high-throughput computational technique used to describe quantitative changes in serial, time-series imaging by considering the relative change in radiomic features of images extracted at two distinct time points. Recent work has demonstrated a lack of prognostic signal of radiomic features extracted using this technique. We hypothesize that this lack of signal is due to the fundamental assumptions made when extracting features via delta radiomics, and that other methods should be investigated. PURPOSE: The purpose of this work was to show a proof-of-concept of a new radiomics paradigm for sparse, time-series imaging data, where features are extracted from a spatial-temporal manifold modeling the time evolution between images, and to assess the prognostic value on patients with oropharyngeal cancer (OPC). METHODS: To accomplish this, we developed an algorithm to mathematically describe the relationship between two images acquired at time t = 0 $t = 0$ and t > 0 $t > 0$ . These images serve as boundary conditions of a partial differential equation describing the transition from one image to the other. To solve this equation, we propagate the position and momentum of each voxel according to Fokker-Planck dynamics (i.e., a technique common in statistical mechanics). This transformation is driven by an underlying potential force uniquely determined by the equilibrium image. The solution generates a spatial-temporal manifold (3 spatial dimensions + time) from which we define dynamic radiomic features. First, our approach was numerically verified by stochastically sampling dynamic Gaussian processes of monotonically decreasing noise. The transformation from high to low noise was compared between our Fokker-Planck estimation and simulated ground-truth. To demonstrate feasibility and clinical impact, we applied our approach to 18F-FDG-PET images to estimate early metabolic response of patients (n = 57) undergoing definitive (chemo)radiation for OPC. Images were acquired pre-treatment and 2-weeks intra-treatment (after 20 Gy). Dynamic radiomic features capturing changes in texture and morphology were then extracted. Patients were partitioned into two groups based on similar dynamic radiomic feature expression via k-means clustering and compared by Kaplan-Meier analyses with log-rank tests (p < 0.05). These results were compared to conventional delta radiomics to test the added value of our approach. RESULTS: Numerical results confirmed our technique can recover image noise characteristics given sparse input data as boundary conditions. Our technique was able to model tumor shrinkage and metabolic response. While no delta radiomics features proved prognostic, Kaplan-Meier analyses identified nine significant dynamic radiomic features. The most significant feature was Gray-Level-Size-Zone-Matrix gray-level variance (p = 0.011), which demonstrated prognostic improvement over its corresponding delta radiomic feature (p = 0.722). CONCLUSIONS: We developed, verified, and demonstrated the prognostic value of a novel, physics-based radiomics approach over conventional delta radiomics via data assimilation of quantitative imaging and differential equations.
Subject(s)
Image Processing, Computer-Assisted , Oropharyngeal Neoplasms , Humans , Oropharyngeal Neoplasms/diagnostic imaging , Image Processing, Computer-Assisted/methods , Algorithms , Prognosis , Time Factors , Spatio-Temporal Analysis , RadiomicsABSTRACT
INTRODUCTION: Brief interventions that reduce suicide risk following youth's experience with acute care due to suicidality are needed. METHODS AND ANALYSIS: The study will use a three-arm randomised controlled trial designed to test the effectiveness of the Safety Planning Intervention with structured follow-up (SPI+) and the Collaborative Assessment and Management of Suicidality (CAMS) compared with enhanced usual care. The primary outcomes measure will be suicidal events, defined as death by suicide, attempted suicide, preparatory acts toward imminent suicidal behaviour or suicidal ideation resulting in a change in emergency evaluation or inpatient admission. Secondary measures will be the number of suicide attempts and severity of suicidal ideation. The experimental interventions, SPI+ and CAMS, consist of up to eight sessions over approximately 8 weeks that are designed to manage (SPI+) or treat (CAMS) patient-identified 'drivers' of suicidal thoughts and behaviours. Mechanisms and moderators of change will be evaluated to understand treatment impacts. ETHICS AND DISSEMINATION: This study has been approved by the Seattle Children's Institutional Review Board and is monitored by external agencies including the University of Washington Institute for Translational Health Sciences, and a National Institute of Mental Health (NIMH)-appointed Data Safety and Monitoring Board. Trial results will help establish evidence towards safe and effective treatment strategies for youth transitioning from acute to outpatient care due to a suicidal crisis. The data will be shared with the NIMH Data Archives and disseminated through publications and conferences. TRIAL REGISTRATION NUMBER: NCT05078970.
Subject(s)
Suicidal Ideation , Suicide, Attempted , Child , Humans , Adolescent , Treatment Outcome , Ambulatory Care , Hospitalization , Randomized Controlled Trials as TopicABSTRACT
Cell migration is regulated by an interplay between both chemical and mechanical cues. Immune cells navigate through interstitial spaces and generate forces to deform surrounding cells, which in turn exert opposing pressures that regulate cell morphology and motility mechanisms. Current in vitro systems to study confined cell migration largely utilize rigid materials orders of magnitude stiffer than surrounding cells, limiting insights into how these local physical interactions regulate interstitial cell motility. Here, we first characterize mechanical interactions between neutrophils and surrounding cells in larval zebrafish and subsequently engineer in vitro migration channels bound by a deformable liquid-liquid interface that responds to cell generated pressures yielding a gradient of confinement across the length of a single cell. Tuning confining pressure gradients replicates mechanical interactions with surrounding cells during interstitial migration in vivo . We find that neutrophils favor a bleb-based mechanism of force generation to deform a barrier applying cell-scale confining forces. This work introduces a biomimetic material interface that enables new avenues of exploring the influence of mechanical forces on cell migration.
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Increasing vaccination acceptance has been essential during the COVID-19 pandemic and in preparation for future public health emergencies. This study aimed to identify messaging strategies to encourage vaccine uptake by measuring the drivers of COVID-19 vaccination among the general public. A survey to assess COVID-19 vaccination acceptance and hesitancy was advertised on Facebook in February-April 2022. The survey included items asking about COVID-19 vaccination status and participant demographics, and three scales assessing medical mistrust, perceived COVID-19 risk, and COVID-19 vaccine confidence (adapted from the Oxford COVID-19 vaccine confidence and complacency scale). The main outcome was vaccination, predicted by patient demographics and survey scale scores. Of 1,915 survey responses, 1,450 (75.7%) were included, with 1,048 (72.3%) respondents reporting they had been vaccinated. In a multivariable regression model, the COVID-19 vaccine confidence scale was the strongest predictor of vaccination, along with education level and perceived COVID-19 risk. Among the items on this scale, not all were equally important in predicting COVID-19 vaccination. The items that best predicted vaccination, at a given score on the COVID-19 vaccine confidence scale, included confidence that vaccine side effects are minimal, that the vaccine will work, that the vaccine will help the community, and that the vaccine provides freedom to move on with life. This study improved our understanding of perceptions most strongly associated with vaccine acceptance, allowing us to consider how to develop messages that may be particularly effective in encouraging vaccination among the general public for both the COVID-19 pandemic and future public health emergencies.
Subject(s)
COVID-19 Vaccines , COVID-19 , Humans , Emergencies , Pandemics , Trust , COVID-19/prevention & control , VaccinationABSTRACT
INTRODUCTION: A major challenge in conducting clinical trials is recruitment. Trial under-enrollment leads to underpowered studies. Behavioral economics offers strategies that may enhance trial recruitment. This study assessed the impact of behavioral economic strategies versus a standard biological approach to recruit children into a randomized clinical trial assessing a biofeedback-based virtual reality intervention for postoperative pain management. We hypothesized the behavioral economics-informed approach would increase enrollment into the future trial, intention to adhere to therapy, acceptability of the intervention, and perceived efficacy while decreasing perception of treatment burden and risk. METHODS: This single-center, prospective, randomized trial recruited patients 12-18 years old undergoing surgery requiring postoperative admission and narcotic administration. Patient-parent dyads were randomized to watch a behavioral economics-informed (n = 64) or standard biological (n = 66) recruitment video about a study designed to assess impact of a virtual reality pain management intervention. RESULTS: There was no difference in rates of intention to enroll in the study between groups (behavioral economics: 75%, control: 79%, p = 0.744) or in median response scores to questions regarding intention to adhere to therapy (4.0 [3.0, 4.0] vs. 4.0 [3.0, 4.0], p=0.084), acceptability of therapy (4.0 [3.0, 4.0] vs. 4.0 [3.0, 4.0], p = 0.376), perceptions of treatment burden (3.0 [3.0, 4.0] vs. 4.0 [3.0, 4.0], p=0.251), and efficacy (3.0 [3.0, 4.0] vs. 3.0 [3.0, 4.0], p = 0.914). Patients in the behavioral economics group were less likely to perceive risk associated with virtual reality versus the control group (behavioral economics: 2.0 [1.0, 2.0], control: 2.0 [2.0, 3.0], p = 0.023). DISCUSSION: A behavioral economics-informed video did not increase patients' intentions to enroll into a clinical trial assessing the impact of virtual reality intervention for postoperative pain management. CONCLUSION: Either approach would be sufficient for patient recruitment for this type of clinical trial since the overall intention to enroll rate was 77%.
Subject(s)
Economics, Behavioral , Virtual Reality , Humans , Child , Adolescent , Prospective Studies , Patient Selection , Pain, Postoperative/therapyABSTRACT
The COVID-19 pandemic poses a significant risk for immunosuppressed groups such as transplant patients. The purpose of this study was to improve our understanding of the impact of the COVID-19 pandemic on kidney transplant recipients, including their views on COVID-19 vaccination. Semi-structured interviews were conducted from December 2021 to August 2022 with 38 kidney transplant recipients who had an appointment with their transplant care team within the previous 6 months. We used qualitative thematic analysis to characterize the perspectives of interviewees. Regardless of COVID-19 vaccination status, most interviewees reported utilizing public health measures such as masking, hand washing, and avoiding crowds to protect themselves against COVID-19. Vaccinated interviewees (n = 31) noted that they chose to receive a COVID-19 vaccine because of their increased risk due to their immunocompromised state. For unvaccinated interviewees (n = 7), reasons for not receiving a COVID-19 vaccine included concerns about the safety and efficacy of the vaccine. Both vaccinated and unvaccinated interviewees expressed concerns about the lack of adequate testing of the vaccine in transplant patients and questioned if the vaccine might have unknown side effects for transplant recipients. Regardless of the vaccination status, most interviewees noted having trust in their healthcare team. Interviewees also described interpersonal tensions that arose during the pandemic, many of which surrounded vaccination and other preventive measures that were important to participants to protect their health. Together, these data demonstrate differing concerns and experiences related to the COVID-19 pandemic for vaccinated and unvaccinated transplant recipients. These findings highlight the unique needs of transplant recipients and reveal opportunities to support this vulnerable patient population in efforts to protect their health as the COVID-19 pandemic evolves.
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OBJECTIVE: Adolescents with epilepsy are at heightened risk for suboptimal anti-seizure medication (ASM) adherence; however, there is a paucity of adherence interventions for this age group. The current study aimed to identify a comprehensive and novel set of predictors of objective, electronically-monitored ASM adherence in adolescents with epilepsy. METHODS: Participants included 104 adolescents (13-17 years old; M = 15.36 ± 1.40), diagnosed with epilepsy and their caregivers. Cross-sectional data were collected from adolescents, caregivers, healthcare providers, and medical chart reviews, including demographics (i.e., age, race/ethnicity, sex, insurance status), the COVID-19 pandemic (i.e., participation before versus during), seizure characteristics (i.e., presence and severity), ASM side effects (Pediatric Epilepsy Side Effects Questionnaire), adherence motivation (1-item 6-point Likert scale item), and adherence barriers (Pediatric Epilepsy Medication Self-Management Questionnaire). Electronically-monitored adherence data was collected via the AdhereTechTM pill bottle or the Vaica SimpleMedTM pillbox over 30 days. RESULTS: Adolescents demonstrated suboptimal adherence at 78 ± 31.6%, despite high ASM adherence motivation (M = 4.43 ± .94) and minimal adherence barriers (M = 35.64 ± 3.78). Hierarchical multiple regression, which included non-modifiable sociodemographic and medical variables (Block 1) and behaviorally modifiable psychosocial variables (Block 2) was significant, F(12,87) = 3.69, p < .001. Specifically, having private insurance (versus Medicaid or public insurance; t = -2.11, p = .038) and higher adherence motivation (t = 2.91, p = .005) predicted higher objective ASM adherence. CONCLUSION: Routine assessment of adherence predictors is vital for the promotion of adherence among adolescents with epilepsy. Adolescent adherence motivation may be an important element of multi-component interventions focused on improving ASM adherence in adolescents with epilepsy.
Subject(s)
COVID-19 , Epilepsy , Humans , Child , Adolescent , Anticonvulsants/therapeutic use , Motivation , Cross-Sectional Studies , Pandemics , Epilepsy/drug therapy , Epilepsy/epidemiology , Epilepsy/psychology , Medication Adherence/psychologyABSTRACT
OBJECTIVE: Non-adherence to anti-seizure medications (ASMs) is common for adolescents with epilepsy, with potentially devastating consequences. Existing adherence interventions in epilepsy do not meet the unique challenges faced by adolescents. Leveraging social norms capitalizes on the increased importance of peer influence while simultaneously targeting the low motivation levels of many adolescents. The current study examined the feasibility, acceptability, and satisfaction of a social norms adherence intervention in adolescents with epilepsy. METHODS: A pilot RCT of a mHealth social norms intervention was conducted with adolescents with epilepsy who demonstrated non-adherence (≤95% adherence) during baseline. Adolescents were randomized to either (1) mHealth social norms (reminders, individualized and social norms adherence feedback) or (2) control (reminders and individualized adherence feedback). Primary outcomes included feasibility, acceptability, and satisfaction. Exploratory outcomes included electronically monitored adherence, seizure severity, and health-related quality of life (HRQOL). RESULTS: One hundred four adolescents were recruited (53% female; Mage = 15.4 ± 1.4 years; 81% White: Non-Hispanic; 5% Black, 10% Bi/Multiracial; 2% White: Hispanic; 1% Other: Hispanic; 1% Bi/Multiracial-Hispanic). Forty-five percent screen-failed due to high adherence, 16% withdrew, and 38% were randomized to treatment (n = 19) or control (n = 21). Recruitment (75%), retention (78%), and treatment satisfaction were moderately high. Engagement with the intervention was moderate, with 64% of participants engaging with intervention notifications. Exploratory analyses revealed that after controlling for COVID-19 impact, the social norms intervention group maintained higher adherence over time compared to the control group. Small to moderate effect sizes were noted for seizure severity and HRQOL between groups. CONCLUSION: This pilot intervention appeared feasible and acceptable. Increases in adherence in the treatment versus control group were modest, but a future larger more adequately powered study is needed to detect effects. Notably, it appeared the COVID pandemic influenced adherence behaviors during our trial.
Subject(s)
COVID-19 , Epilepsy , Humans , Female , Adolescent , Male , Quality of Life , Pilot Projects , Social Norms , Epilepsy/drug therapyABSTRACT
BACKGROUND: Adolescents with chronic disease engage in sexual activity similar to their healthy peers, with generally low utilization of contraception. Adolescents with rheumatic diseases prescribed teratogenic medications may be at risk for unplanned pregnancy. METHODS: Using structured quality improvement (QI) methods with behavior economic (BE) principles, a multidisciplinary team aimed to implement pregnancy prevention processes for females on high-risk medications. We leveraged BE-inspired interventions including improved accessibility of consents, utilizing distinctly colored consent forms, real-time reminders, peer comparison, and audit and feedback. Our primary aim was to increase the number of days between pregnancies for postmenarcheal females followed in rheumatology clinics who were taking teratogenic medications. Phase 1 focused on annual consenting of female adolescents prescribed teratogenic drugs. Phase 2 emphasized sexual history screening and pregnancy prevention planning at every clinic visit for females ≥12 years on teratogenic medications. RESULTS: We increased the days between pregnancies for female adolescents prescribed teratogenic medications from 52 days to >900 days by using QI methodology with BE strategies. In phase 1, annual consents for postmenarcheal patients on teratogenic medications improved from 0% in 2017 to 95% in 2021. In phase 2, sexual history screening and pregnancy prevention planning at every clinic visit improved from 2% in 2019 to over 78% in 2021. CONCLUSIONS: A multiphase, multidisciplinary QI project with integration of behavior economic strategies can improve patient and caregiver counseling to prevent unplanned pregnancies for adolescents on teratogenic medications.
Subject(s)
Pregnancy in Adolescence , Teratogens , Pregnancy , Adolescent , Humans , Female , Teratogens/toxicity , Pregnancy in Adolescence/prevention & control , Economics, Behavioral , Quality Improvement , ContraceptionABSTRACT
BACKGROUND: In the United States, poor adherence accounts for up to 70% of all medication-related hospital admissions, resulting in $100 billion in health care costs annually. In pediatrics, adherence is largely dependent on caregivers. In a high-risk hematopoietic stem cell transplant (HSCT) population, caregivers are isolated with their child due to infection risk and must manage challenging treatment regimens at home, often with limited time and support. Complex behavioral interventions, typically employed to address adherence, are difficult to deliver and manage in the context of these daily tasks. The most successful adherence interventions, and thus improved clinical outcomes, have included mobile health (mHealth) reminder approaches and a direct measure of adherence. OBJECTIVE: This is a 3-phase project, with this protocol describing phase 2, to determine the usability and feasibility of an mHealth app (BMT4me) designed to promote adherence to immunosuppressant medication and to track symptoms among children who received HSCT. METHODS: This study uses an iterative convergent mixed methods design to develop and assess the usability and feasibility of an adherence digital health intervention. We will recruit 15 caregivers of pediatric patients receiving HSCT to complete user testing. Qualitative and quantitative data will be integrated to enhance and expand upon study findings. RESULTS: Enrollment began in September 2021 and is ongoing. A total of 7 caregivers have enrolled. We anticipate completion by fall 2022. We anticipate high usability scores and a better understanding of unique features within the app that are needed for HSCT families post transplant. To date, usability scores among enrolled participants are greater than 70%. Feedback from qualitative interviews is being used to further adapt the app by adding specific weekly logs, call provider options, and voice to text. CONCLUSIONS: This protocol describes a mixed methods usability and feasibility study to develop and implement a smartphone app for caregivers of children receiving HSCT. The app was designed to improve immunosuppressant adherence and to track symptoms in the acute phase post discharge. Study findings will inform further refinement of the app and the feasibility of a pilot randomized controlled trial examining efficacy on clinical outcomes. TRIAL REGISTRATION: ClinicalTrials.gov NCT04976933; https://clinicaltrials.gov/ct2/show/NCT04976933. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/39098.
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Selective eating is a common childhood feeding problem associated with family stress and micronutrient deficiencies. While there are empirically-supported behavioral strategies for addressing selective eating, there are significant systems-level barriers to implementing them. The aim of this study was to develop and test a self-administered intervention for parents of children with selective eating. Participants were 156 parents of children with selective eating ages 18 months-6 years who were randomly assigned to either the handout + video condition (8-module video intervention and detailed handout) or handout condition (detailed handout only). Outcome measures were administered pre-intervention and 4 weeks post-intervention. Only 23 % of participants in the handouts plus video condition played more than one video module. Both groups had significant decreases in maladaptive mealtime parenting practices, undesired child mealtime behaviors, and number of foods offered. No significant effect of study condition was found on the outcome measures. Further research is needed to determine how to encourage engagement of parents with self-administered intervention materials.
Subject(s)
Feeding Behavior , Parenting , Child , Child Behavior , Child Rearing , Child, Preschool , Humans , Infant , ParentsABSTRACT
AIM: Little research exists on coronavirus (COVID-19) vaccine hesitancy among caregivers of children with cancer. We aimed to (a) describe vaccine hesitancy in parents of children with cancer for both their child and self, and (b) examine the mediating role of parent-reported COVID impact on the association between COVID exposure and vaccine hesitancy. PROCEDURE: We conducted a national survey of parents of children with cancer via Facebook and Momcology, a pediatric cancer community-based organization recruited February-May 2021. Parents completed standardized measures online. A series of mediation models assessed the role of COVID-19 impact (e.g., effects on parenting and well-being) on associations between COVID-19 exposure (e.g., direct/indirect exposure) and vaccine hesitancy. Moderation models examined the role of treatment status, COVID-19 exposure, impact, and vaccine hesitancy. RESULTS: Parents (n = 491; 90% mothers; 93% White) reported moderate vaccine hesitancy (M = 2.08, SD = 0.76). Specifically, 18.5% (n = 90) reported they would not vaccinate their child, and 24.4% (n = 119) would only consider vaccination. Parents expressed higher concerns about vaccine side effects for their children (M = 3.01, SD = 0.95) than for themselves (M = 2.61, SD = 1.03; t[479] = 9.07, p < .01). Mediation analysis revealed a significant indirect effect of impact (95% CI [-0.013, -0.001]) on the association between higher exposure and higher vaccine hesitancy (b = .02, p = .06). There was no moderating effect of treatment status. Income remained a significant covariate (b = -.11, p < .01). CONCLUSION: Lower parent-reported COVID exposure, higher COVID impact, concern for side effects, and lower income may be important factors related to vaccine hesitancy among parents of children with cancer. Providers of childhood cancer survivors should address vaccine hesitancy and potential health risks.
Subject(s)
COVID-19 , Drug-Related Side Effects and Adverse Reactions , Neoplasms , COVID-19/epidemiology , COVID-19/prevention & control , COVID-19 Vaccines , Child , Cross-Sectional Studies , Female , Humans , Neoplasms/therapy , Parents , SARS-CoV-2 , Vaccination , Vaccination HesitancyABSTRACT
This study documents evaluation of the Her Tribe and His Tribe Aboriginal-designed empowerment pilot programs. The programs were designed to support Victorian Aboriginal people to strengthen mental health, social and emotional wellbeing, community connection, and to reduce psychological distress. A second aim was to explore participants' experiences of the programs, including the feasibility and acceptability of the evaluation component. Her Tribe ran for 16 weeks and His Tribe for 12 weeks. In total, 43 women and 26 men completed assessments at pre- and post-program completion, and 17 and 10, respectively, participated in yarning circles at the 6-month follow up. For both programs, there were significant increases in participants' access to personal strengths and resources, relationship-community-cultural strengths and resources, and decreases in psychological distress. These changes were associated with small to moderate effects that were maintained at the 6-month follow up. There was a significant increase in aerobic fitness for female but not male participants, and no significant changes in weight for either group. Participants described a range of benefits from the programs, including positive elements and areas for improvement. They also viewed the evaluation as feasible and acceptable, and the findings of value. The outcomes from both pilot programs provide evidence that Aboriginal-designed programs, with a focus on physical and cultural activities, can help to strengthen mental health and wellbeing, community connection, and reduce psychological distress in Victorian Aboriginal communities.
Subject(s)
Health Services, Indigenous , Native Hawaiian or Other Pacific Islander , Female , Humans , Indigenous Peoples , Male , Mental Health , Racial GroupsABSTRACT
Importance: Suicide is the eighth leading cause of death among children aged 5 to 11 years, with rates increasing during the past decade. A better understanding of factors associated with childhood suicide can inform developmentally appropriate prevention strategies. Objective: To examine characteristics and precipitating circumstances of childhood suicide. Design, Setting, and Participants: This qualitative study examined restricted-use data from the National Violent Death Reporting System (NVDRS) regarding child suicide decedents aged 5 to 11 years in the US from 2013 to 2017. The NVDRS is a state-based surveillance system that collects data on suicide and violent deaths in 50 states, with restricted-use data available from 37 states. Details and context related to suicide deaths were identified through a content analysis of case narratives from coroner or medical examiner and law enforcement reports associated with each incident. Exposures: Characteristics and precipitating circumstances associated with suicide cited in the coroner, medical examiner, and law enforcement case narratives. Main Outcomes and Measures: Suicide incidence and risk factors for suicide including mental health, prior suicidal behavior, trauma, and peer, school, or family-related problems. Results: Analyses included 134 child decedents (101 [75.4%] males; 79 [59.0%] White individuals; 109 [81.3%] non-Hispanic individuals; mean [SD] age, 10.6 [0.8] years). Most suicides occurred in the child's home (95.5% [n = 128]), and more specifically in the child's bedroom. Suicide by hanging or suffocation (78.4% [n = 105]) was the most frequent method, followed by firearms (18.7% [n = 25]). Details on gun access were noted in 88.0% (n = 22) of suicides by firearm, and in every case, the child obtained a firearm stored unsafely in the home. Findings revealed childhood suicide was associated with numerous risk factors accumulated over time, and suggest a progression toward suicidal behavior, especially for youth with a history of psychopathology and suicidal behavior. An argument between the child and a family member and/or disciplinary action was often a precipitating circumstance of the suicide. Conclusions and Relevance: This qualitative study found that childhood suicide was associated with multiple risk factors and commonly preceded by a negative precipitating event. Potential prevention strategies include improvements in suicide risk assessment, family relations, and lethal means restriction, particularly safe firearm storage. Future research examining the myriad aspects of childhood suicide, including racial/ethnic and sex differences, is needed.
Subject(s)
Precipitating Factors , Suicide/psychology , Child , Child, Preschool , Female , Humans , Male , Qualitative Research , Risk Factors , Schools/organization & administration , Schools/statistics & numerical data , Suicidal Ideation , Suicide/statistics & numerical data , United States/epidemiology , Suicide PreventionABSTRACT
This paper presents findings from an experimental evaluation of the Teen Options to Prevent Pregnancy (TOPP) program, an 18-month intervention that consists of a unique combination of personalized contraceptive counseling, facilitated access to contraceptive services, and referrals to social services. We find that TOPP led to large and statistically significant increases in the use of long-acting reversible contraceptives (LARCs), accompanied by substantial reductions in repeat and unintended pregnancy among adolescent mothers. We provide an exploratory analysis of the channels through which TOPP achieved its impacts on contraceptive behavior and pregnancy outcomes. A back-of-the-envelope decomposition implies that the increase in LARC use can explain at most one-third of the reduction in repeat pregnancy. We provide suggestive evidence that direct access to contraceptive services was important for increasing LARC use and reducing repeat pregnancy. We did not find any spillover effects on non-targeted outcomes, such as educational attainment and benefit receipt.
Subject(s)
Contraception , Pregnancy in Adolescence , Adolescent , Family Planning Services , Female , Humans , Pregnancy , Pregnancy in Adolescence/prevention & control , Pregnancy, Unplanned , Referral and ConsultationABSTRACT
After sufficient doses are manufactured and logistical barriers are reduced, convincing an overwhelming majority of people to receive a COVID-19 vaccination may be the next major challenge during this pandemic. A group of experts recently proposed strategies that have compelling rationales and are well grounded in behavioral science. However, their approaches may sometimes be unacceptable, impractical, and/or unsuccessful. Therefore, other strategies will be greatly needed to address vaccine hesitancy. The present commentary offers 8 additional promising approaches forming a framework known as PANDEMIC. This acronym stands for the following strategies: presumptive language, asking for advice, norms on an anonymous level, description of favorable attributes, emphasizing clinicians' own experiences, mandated choice, images, and communication of risk. Each of the strategies is discussed in turn. Many of the proposed strategies have empirical support for achieving desired outcomes in other domains. However, the PANDEMIC framework is untested in regard to increasing the uptake of COVID-19 vaccinations. Therefore, the strategies should be carefully evaluated before they are widely disseminated through public health announcements, email distribution lists, electronic health record messages, and other outlets.