bluuebunny/crossref_metadata_2025_split huggingface dataset:
Where is “policy” in dissemination and implementation science? Recommendations to advance theories, models, and frameworks: EPIS as a case example
Authors: Crable Erika L. , Lengnick-Hall Rebecca , Stadnick Nicole A. , Moullin Joanna C. , Aarons Gregory A. 
Published: December 2022

Abstract

Background
Implementation science aims to accelerate the public health impact of evidence-based interventions. However, implementation science has had too little focus on the role of health policy — and its inseparable politics, polity structures, and policymakers — in the implementation and sustainment of evidence-based healthcare. Policies can serve as determinants, implementation strategies, the evidence-based “thing” to be implemented, or another variable in the causal pathway to healthcare access, quality, and patient outcomes. Research describing the roles of policy in dissemination and implementation (D&I) efforts is needed to resolve persistent knowledge gaps about policymakers’ evidence use, how evidence-based policies are implemented and sustained, and methods to de-implement policies that are ineffective or cause harm. Few D&I theories, models, or frameworks (TMF) explicitly guide researchers in conceptualizing where, how, and when policy should be empirically investigated. We conducted and reflected on the results of a scoping review to identify gaps of existing Exploration, Preparation, Implementation, and Sustainment (EPIS) framework-guided policy D&I studies. We argue that rather than creating new TMF, researchers should optimize existing TMF to examine policy’s role in D&I. We describe six recommendations to help researchers optimize existing D&I TMF. Recommendations are applied to EPIS, as one example for advancing TMF for policy D&I.

Recommendations
(1) Specify dimensions of a policy’s function (policy goals, type, contexts, capital exchanged).
(2) Specify dimensions of a policy’s form (origin, structure, dynamism, outcomes).
(3) Identify and define the nonlinear phases of policy D&I across outer and inner contexts.
(4) Describe the temporal roles that stakeholders play in policy D&I over time.
(5) Consider policy-relevant outer and inner context adaptations.
(6) Identify and describe bridging factors necessary for policy D&I success.

Conclusion
Researchers should use TMF to meaningfully conceptualize policy’s role in D&I efforts to accelerate the public health impact of evidence-based policies or practices and de-implement ineffective and harmful policies. Applying these six recommendations to existing D&I TMF advances existing theoretical knowledge, especially EPIS application, rather than introducing new models. Using these recommendations will sensitize researchers to help them investigate the multifaceted roles policy can play within a causal pathway leading to D&I success.
Use of minimally invasive cerclage wiring for displaced major fragments of femoral shaft fractures after intramedullary nailing promotes bone union and a functional outcome
Authors: Tao Xingguang , Yang Qing 
Published: December 2022

AbstractBackgroundFemoral shaft fractures caused by high energy trauma can be very challenging due to the large variability in fracture morphology and poor functional outcomes. Displaced major fragments of femoral shaft fractures are difficult to manage after closed reduction and intramedullary nailing (IMN). The minimally invasive cerclage wiring (CW) procedure has become an optimal tool for major fragment resetting and stabilization after IMN. However, arguments continue for the potential risk of arterial injury, blood supply disruption, and delayed bone union or non-union with the CW procedure. The surgical algorithm for treating femoral shaft fractures with displaced major fragments remains controversial. Thus, emphasis is placed on whether the CW procedure can promote the bone union rate and improve functional outcomes without significant complications.MethodsWe performed a retrospective study on all patients of femoral shaft fractures with displaced major fragments between June 2015 and August 2019 in our trauma centre. Eligible patients were included and stratified into the CW group and IMN group. Demographics, radiological data, callus formation, union time, and functional outcomes were critically compared between the two groups.ResultsThirty-seven patients were included in the present study according to our inclusion/exclusion criteria, of whom 16 (43.2%) were stratified into the CW group, and 21 (56.8%) into the IMN group. The modified radiographic union score for femorae (mRUSH) in the CW group and IMN group was significantly different (11.94 ± 1.29 vs. 7.95 ± 0.74, 6 months; 15.88 ± 0.50 vs. 10.33 ± 0.91, 12 months) (p < 0.0001). The mean union time was significantly different between the CW and IMN groups (7.9 ± 3.2 months vs. 20.1 ± 8.48 months) (p < 0.0001). Bone union at 12 months differed significantly between the CW and IMN groups (15 vs. 5) (p < 0.05). The Harris Hip Score in the CW group was significantly higher than that in the IMN group (88.19 ± 4.69 vs. 76.81 ± 5.26, 12 months; 93.19 ± 4.68 vs. 87.57 ± 5.38, 24 months) (p < 0.01). The Hospital for Special Surgery Knee Score was significantly different between the CW and IMN groups (78.50 ± 5.65 vs. 67.71 ± 4.65, 12 months; 89.50 ± 5.05 vs. 75.81 ± 8.90, 24 months) (p < 0.0001).ConclusionsMinimally invasive CW is an optimal supplement for IMN in the treatment of femoral shaft fractures with displaced major fragments. As illustrated, the benefits of CW potentially include promotion of the bone union rate and improvement in functional outcomes.
Adult mortality before and during the first wave of COVID-19 pandemic in nine communities of Yemen: a key informant study
Authors: Alhaffar Mervat , Basaleem Huda , Othman Fouad , Alsakkaf Khaled , Naji Sena Mohammed Mohsen , Kolaise Hussein , Babattah Abdullah K. , Salem Yassin Abdulmalik Mahyoub , Brindle Hannah , Yahya Najwa , Pepe Pasquale , Checchi Francesco 
Published: December 2022

Abstract
Introduction
Widespread armed conflict has affected Yemen since 2014. To date, the mortality toll of seven years of crisis, and any excess due to the COVID-19 pandemic, are not well quantified. We attempted to estimate population mortality during the pre-pandemic and pandemic periods in nine purposively selected urban and rural communities of southern and central Yemen (Aden and Ta’iz governorates), totalling > 100,000 people.

Methods
Within each study site, we collected lists of decedents between January 2014–March 2021 by interviewing different categories of key community informants, including community leaders, imams, healthcare workers, senior citizens and others. After linking records across lists based on key variables, we applied two-, three- or four-list capture-recapture analysis to estimate total death tolls. We also computed death rates by combining these estimates with population denominators, themselves subject to estimation.

Results
After interviewing 138 disproportionately (74.6%) male informants, we identified 2445 unique decedents. While informants recalled deaths throughout the study period, reported deaths among children were sparse: we thus restricted analysis to persons aged ≥ 15 years old. We noted a peak in reported deaths during May–July 2020, plausibly coinciding with the first COVID-19 wave. Death rate estimates featured uninformatively large confidence intervals, but appeared elevated compared to the non-crisis baseline, particularly in two sites where a large proportion of deaths were attributed to war injuries. There was no clear-cut evidence of excess mortality during the pandemic period.

Conclusions
We found some evidence of a peak in mortality during the early phase of the pandemic, but death rate estimates were otherwise too imprecise to enable strong inference on trends. Estimates suggested substantial mortality elevations from baseline during the crisis period, but are subject to serious potential biases. The study highlighted challenges of data collection in this insecure, politically contested environment.
Diagnoses and mortality among prehospital emergency patients calling 112 with unclear problems: a population-based cohort study from Denmark
Authors: Ibsen Stine , Dam-Huus Karoline Bjerg , Nickel Christian H. , Christensen Erika Frischknecht , Søvsø Morten Breinholt 
Published: December 2022

Abstract
Background
Patients calling for an emergency ambulance and assessed as presenting with ‘unclear problem’ account for a considerable part of all emergency calls. Previous studies have demonstrated that these patients are at increased risk for unfavourable outcomes. A deeper insight into the underlying diagnoses and outcomes is essential to improve prehospital treatment. We aimed to investigate which of these diagnoses contributed most to the total burden of diseases in terms of numbers of deaths together with 1- and 30-day mortality.

Methods
A historic regional population-based observational cohort study from the years 2016 to 2018. Diagnoses were classified according to the World Health Organisation ICD-10 System (International Statistical Classification of Diseases and Related Health Problems, 10th edition). The ICD-10 chapters, R (‘symptoms, signs and abnormal clinical and laboratory findings, not elsewhere classified)’ and Z (‘factors influencing health status and contact with health services”) were combined and designated “non-specific diagnoses”.
Poisson regression with robust variance estimation was used to estimate proportions of mortality in percentages with 95% confidence intervals, crude and adjusted for age, sex and comorbidities.

Results
Diagnoses were widespread among the ICD-10 chapters, and the most were ‘non-specific diagnoses’ (40.4%), ‘circulatory diseases’ (9.6%), ‘injuries and poisonings’ (9.4%) and ‘respiratory diseases’ (6.9%). The diagnoses contributing most to the total burden of deaths (n = 554) within 30 days were ‘circulatory diseases’ (n = 148, 26%) followed by ‘non-specific diagnoses’ (n = 88, 16%) ‘respiratory diseases’ (n = 85, 15%), ‘infections’ (n = 54, 10%) and ‘digestive disease’ (n = 39, 7%). Overall mortality was 2.3% (1-day) and 7.1% (30-days). The risk of mortality was highly associated with age.

Conclusion
This study found that almost half of the patients brought to the hospital after calling 112 with an ‘unclear problem’ were discharged with a ‘non-specific diagnosis’ which might seem trivial but should be explored more as these contributed the second-highest to the total number of deaths after 30 days only exceeded by ‘circulatory diseases’.
Exploring the consequences of food insecurity and harnessing the power of peer navigation and mHealth to reduce food insecurity and cardiometabolic comorbidities among persons with HIV: protocol for development and implementation trial of weCare/Secure
Authors: Tanner Amanda E. , Palakshappa Deepak , Morse Caryn G. , Mann-Jackson Lilli , Alonzo Jorge , Garcia Manuel , Wright Elena , Dharod Ajay , Isom Scott , Sucaldito Ana D. , Aviles Lucero Refugio , Rhodes Scott D. 
Published: December 2022

Abstract
Background
Food insecurity, or the lack of consistent access to nutritionally adequate and safe foods, effects up to 50% of people living with HIV (PWH) in the United States (US). PWH who are food insecure have lower antiretroviral adherence, are less likely to achieve viral suppression, and are at increased risk developing of serious illnesses, including cardiometabolic comorbidities. The objectives of this study are to better understand how food insecurity contributes to the development of cardiometabolic comorbidities among PWH and to test a novel bilingual peer navigation-mHealth intervention (weCare/Secure) designed to reduce these comorbidities in food-insecure PWH with prediabetes or Type 2 diabetes (T2DM).

Methods
In Aim 1, we will recruit a longitudinal cohort of 1800 adult (≥18 years) PWH from our clinic-based population to determine the difference in the prevalence and incidence of cardiometabolic comorbidities between food-secure and food-insecure PWH. Food insecurity screening, indicators of cardiometabolic comorbidities, and other characteristics documented in the electronic health record (EHR) will be collected annually for up to 3 years from this cohort. In Aim 2, we will conduct a randomized controlled trial among a sample of food-insecure PWH who have prediabetes or T2DM to compare changes in insulin sensitivity over 6 months between participants in weCare/Secure and participants receiving usual care. In Aim 3, we will conduct semi-structured individual in-depth interviews to explore the effect of the intervention among intervention participants with varying insulin sensitivity outcomes.

Trial status
Aim 1 (longitudinal cohort) recruitment began in May 2022 and is ongoing. Aim 2 (intervention) recruitment is planned for spring 2023 and is expected to be completed in spring 2024. Aim 3 (process evaluation) data collection will occur after sufficient completion of the 6-month assessment in Aim 2. Final results are anticipated in fall 2025.

Conclusions
This research seeks to advance our understanding of how food insecurity impacts the development of cardiometabolic comorbidities among PWH and how food insecurity interventions may alleviate relevant comorbidities. Given the growing interest among health systems in addressing food insecurity, if the intervention is found to be efficacious, it could be broadly disseminated across HIV clinical care settings.

Trial registration
ClinicalTrials.gov NCT04943861. Registered on June 29, 2021.
mPFC-rTMS for patients with insomnia disorder using resting-state functional magnetic resonance imaging: a protocol for a randomized controlled trial
Authors: Sun Jingjing , Li Guohai , Zhang Danwei , Ding Kaimo , Zhu Jun , Luo Si , Xu Wenyue , Wang Zhoubing 
Published: December 2022

Abstract
Background
Insomnia is the most common sleep disorder. Repetitive transcranial magnetic stimulation (rTMS) is safe and effective for insomnia disorder (ID). Convergent evidence show that the medial prefrontal cortex (mPFC) may be involved in the regulation of sleep and awakening at the cortical level and may serve as a potential target of rTMS in the treatment of ID. The purpose of this clinical trial is to study the efficacy of mPFC-rTMS in the treatment ID and explore the neural mechanism using resting-state functional magnetic resonance imaging (fMRI).

Methods and design
This will be a parallel-group randomized, patient- and assessor-blinded trial. The study will recruit 60 ID patients assigned to a real mPFC-rTMS group or a sham mPFC-rTMS group. The allocation ratio is 1:1, with 30 subjects in each group. Interventions will be administered five times per week over a 4-week period, with an 8-week follow-up period. All participants will undergo neuropsychological and fMRI evaluations. The primary outcome measure of this study is the change scores of the Pittsburgh Sleep Quality Index (PSQI). The secondary outcome measures include the fMRI measurements, the Hamilton Depression Scale (HAMD), the Hamilton Anxiety Scale (HAMA), a sleep diary, and a polysomnography. Assessment of all parameters will be performed at baseline, post-treatment, and during follow-up.

Discussion
It is expected that the study results will provide strong evidence of the effectiveness and the neural mechanism by which mPFC-rTMS improves sleep quality in ID patients.

Trial registration
Chinese Clinical Trials Register ChiCTR2100054154. Registered on 10 December 2021.
Online Parent Training for The Initial Management of ADHD referrals (OPTIMA): the protocol for a randomised controlled trial of a digital parenting intervention implemented to support parents and children on a treatment waitlist
Authors: Kostyrka-Allchorne Katarzyna , Ballard Claire , Byford Sarah , Cortese Samuele , Daley David , Downs Johnny , French Blandine , Glazebrook Cristine , Goldsmith Kimberley , Hall Charlotte L. , Hedstrom Ellen , Kovshoff Hanna , Kreppner Jana , Lean Nancy , Sayal Kapil , Shearer James , Simonoff Emily , Thompson Margaret , Sonuga-Barke Edmund J. S. 
Published: December 2022

Abstract
Background
Children referred for attention-deficit/hyperactivity disorder (ADHD) often present with a broader pattern of conduct problems including oppositionality and defiance. This combination can be extremely stressful to parents, lower parents’ self-esteem and negatively impact family life. The National Institute for Health and Care Excellence (NICE) recommends that families receive support as soon as possible after their referral. However, as clinical services are overstretched, and traditional in-person parenting intervention programmes are expensive, families often must wait times a long time prior to receiving this vital input. To address this, we have created a digital parenting programme called STEPS. It is delivered as a mobile phone app providing a set of tools and resources that can be easily accessed at parents’ convenience. This study aims to evaluate the clinical and cost-effectiveness of STEPS in supporting parents of children with high levels of hyperactivity/impulsivity, inattention and conduct problems, who are waiting to be assessed by specialist children’s clinical services.

Methods
Online Parent Training for The Initial Management of ADHD referrals (OPTIMA) is a two-arm superiority parallel randomised controlled trial with an internal pilot study. We aim to recruit 352 parents and their children, who have been accepted onto a waitlist in Child and Adolescent Mental Health Services or similar child health services. Parents who consent will be randomised 1:1 to either the STEPS or wait-as-usual (WAU) group. The trial will be conducted remotely (online and telephone) with measures taken at baseline and 3, 6, 9 and 12 months post-randomisation. The primary objective is to evaluate whether STEPS reduces the severity of children’s oppositional and defiant behaviour, as rated by parents, measured at 3 months post-randomisation compared to WAU.

Discussion
Digital solutions, such as mobile phone apps, have potential for delivering psychological support for parents of children with clinical-level needs in a timely and inexpensive manner. This trial will provide data on the clinical and cost-effectiveness of the STEPS app, which could support the implementation of this scalable parenting intervention programme into standard clinical care and, ultimately, improve the outcomes for families of children referred to specialist child and adolescent health services.

Trial registration
ISRCTN 16523503. Prospectively registered on 18 November 2021. https://www.isrctn.com/ISRCTN16523503
CARE 1000: randomized controlled trial for the evaluation of the effectiveness of a mHealth app for supporting the first 1000 days of life
Authors: Brunelli Laura , Bussolaro Sofia , Dal Cin Margherita , Ronfani Luca , Zanchiello Sara , Cassone Andrea , Verardi Giuseppa , Dobrina Raffaella , Bava Michele , Stampalija Tamara 
Published: December 2022

Abstract

Background

Recent developments in eHealth and mobile health (mHealth), as well as the introduction of information and communication technology innovations in clinical practice, such as telemedicine, telemonitoring, and remote examinations, are already changing the current scenario and will continue to generate innovations in the coming decades. The widespread use of mobile devices, with an estimated nearly 30 billion devices and more than 325,000 apps worldwide, will provide various opportunities for people to take control of their own health. Already in 2017, most of the apps available were focused on pregnancy support, more than any other medical field. There have been some reported experiences with social media and mHealth that could benefit the promotion of maternal physical and mental health during pregnancy. However, many apps targeting the first 1000 days of a child’s life do not consider the continuity between the prenatal and postnatal periods and their joint impact on maternal and child health. The aim of this study is to evaluate the effectiveness of this mHealth app to support women during the first 1000 days (from conception to 24 months of age) and to improve health prevention behaviours such as immunizations during pregnancy, weight gain during pregnancy, abstinence from smoking and alcohol consumption, and adherence to the routine childhood immunization schedule. In addition, the study aims to understand the level of appreciation of this mHealth app as a tool to overcome information and communication gaps between patients and institutions.

Methods
Conduction of a randomized controlled trial.

Discussion
Our results will be relevant for improving this mHealth app to promote health and prevention and to support the first 1000 days of life for both mother and child. Our results will be relevant to the future expansion of such an mHealth app to promote positive health-related outcomes in patients and co-user satisfaction and to support the organization of health services.

Trial registration
ClinicalTrials.gov NCT05500339.
Enhancing cancer differentiation with synthetic MRI examinations via generative models: a systematic review
Authors: Dimitriadis Avtantil , Trivizakis Eleftherios , Papanikolaou Nikolaos , Tsiknakis Manolis , Marias Kostas 
Published: December 2022

AbstractContemporary deep learning-based decision systems are well-known for requiring high-volume datasets in order to produce generalized, reliable, and high-performing models. However, the collection of such datasets is challenging, requiring time-consuming processes involving also expert clinicians with limited time. In addition, data collection often raises ethical and legal issues and depends on costly and invasive procedures. Deep generative models such as generative adversarial networks and variational autoencoders can capture the underlying distribution of the examined data, allowing them to create new and unique instances of samples. This study aims to shed light on generative data augmentation techniques and corresponding best practices. Through in-depth investigation, we underline the limitations and potential methodology pitfalls from critical standpoint and aim to promote open science research by identifying publicly available open-source repositories and datasets.
Unpacking the police patrol shift: observations and complications of “electronically” riding along with police
Authors: Simpson Rylan , Bell Nick 
Published: December 2022

AbstractAs frontline responders, patrol officers exist at the core of policing. Little remains known, however, about the specific and nuanced work of contemporary patrol officers and their shift characteristics. Drawing upon computer-aided dispatch (CAD) data for a random sample of 60 patrol shifts, we empirically analyse the activities of patrol officers working in a Canadian police agency. Our analyses reveal several interesting findings regarding the activities of patrol officers, the nature and prevalence of calls for service attended by such officers, and the temporal patterns of different patrol shifts. We discuss our results with respect to both criminological research as well as policing practice. We also highlight the complications and implications of using electronic police records to empirically study officer activity.