bluuebunny/crossref_metadata_2025_split huggingface dataset:
WHO standards-based tool to measure women’s views on the quality of care around the time of childbirth at facility level in the WHO European region: development and validation in Italy
Authors: Lazzerini Marzia , Argentini Giorgia , Mariani Ilaria , Covi Benedetta , Semenzato Chiara , Lincetto Ornella , Muzigaba Moise , Valente Emanuelle Pessa 
Published: February 2022

ObjectivesA comprehensive WHO standards-based tool to measure women’s perceived quality of maternal and newborn care (QMNC) in health facilities is needed to allow for comparisons of data across settings and over time. This paper describes the development of such a tool, and its validation in Italy.DesignA multiphase, mixed-methods study involving qualitative and quantitative research methods.SettingNine health facilities in Italy.MethodsThe questionnaire was developed in six phases: (1) Defining the scope, characteristics and a potential list of measures for the tool; (2) initial content and construct validation; (3) first field testing to assess acceptability and perceived utility for end-users (1244 women, 35 decision makers) and further explore construct validity; (4) content optimisation and score development; (5) assessment of face validity, intrarater reliability and internal consistency and (6) second field testing in nine maternity hospitals (4295 women, 78 decision-makers).ResultsThe final version of the tool included 116 questions accounting for 99 out of the 350 of the extended lists of WHO Quality Measures. Observed face validity was very good, with 100% agreement for 101 (87%) questions and Kappa exceeding 0.60 for remaining ones. Reliability was good, with either high agreement or Kappa exceeding 0.60 for all items. Cronbach alpha values ranged from 0.84 to 0.88, indicating very good internal consistency. Acceptability across seven hospitals was good (mean response rate: 57.4%, 95% CI 44.4% to 70.5%). The questionnaire proved to be useful, driving the development of actions plan to improve the QMNC in each facility.ConclusionsStudy findings suggest that the tool has good content, construct, face validity, intrarater reliability and internal consistency, while being acceptable and useful. Therefore, it could be used in health facilities in Italy and similar context. More research should investigate how effectively use the tool in different countries for improving the QMNC.
Social disparities in the first wave of COVID-19 incidence rates in Germany: a county-scale explainable machine learning approach
Authors: Doblhammer Gabriele , Reinke Constantin , Kreft Daniel 
Published: February 2022

ObjectivesKnowledge about the socioeconomic spread of the first wave of COVID-19 infections in Germany is scattered across different studies. We explored whether COVID-19 incidence rates differed between counties according to their socioeconomic characteristics using a wide range of indicators.Data and methodWe used data from the Robert Koch-Institute (RKI) on 204 217 COVID-19 diagnoses in the total German population of 83.1 million, distinguishing five distinct periods between 1 January and 23 July 2020. For each period, we calculated age-standardised incidence rates of COVID-19 diagnoses on the county level and characterised the counties by 166 macro variables. We trained gradient boosting models to predict the age-standardised incidence rates with the macrostructures of the counties and used SHapley Additive exPlanations (SHAP) values to characterise the 20 most prominent features in terms of negative/positive correlations with the outcome variable.ResultsThe first COVID-19 wave started as a disease in wealthy rural counties in southern Germany and ventured into poorer urban and agricultural counties during the course of the first wave. High age-standardised incidence in low socioeconomic status (SES) counties became more pronounced from the second lockdown period onwards, when wealthy counties appeared to be better protected. Features related to economic and educational characteristics of the young population in a county played an important role at the beginning of the pandemic up to the second lockdown phase, as did features related to the population living in nursing homes; those related to international migration and a large proportion of foreigners living in a county became important in the postlockdown period.ConclusionHigh mobility of high SES groups may drive the pandemic at the beginning of waves, while mitigation measures and beliefs about the seriousness of the pandemic as well as the compliance with mitigation measures may put lower SES groups at higher risks later on.
Influence of information provided prior to switching from Humira to biosimilar adalimumab on UK patients’ satisfaction: a cross-sectional survey by patient organisations
Authors: Kaneko Kayoko , Prieto-Alhambra Daniel , Jacklin Clare , Bosworth Ailsa , Dickinson Sally , Berry Sarah , McAteer Helen , Taylor Peter C 
Published: February 2022

ObjectivesTo investigate the perceptions and experiences of people with specific immune-mediated inflammatory diseases during the process of switching from Humira to biosimilar adalimumab.DesignCross-sectional survey.SettingAn anonymised, self-administered, web-based survey.ParticipantsThe participants were drawn from members and non-members of either the National Rheumatoid Arthritis Society, the National Axial Spondyloarthritis Society, Crohn’s and Colitis UK, or Psoriasis Association. Birdshot Uveitis Society and Olivia’s Vision also signposted to the survey links.ResultsA total of 899 people living with various immune mediated inflammatory diseases participated in this survey. Thirty-four per cent of respondents reported poor overall satisfaction with their biosimilar adalimumab after the switch, associated with complaints related to the switching process including lack of shared decision making, scarcity of information provided by or signposted to by the department instigating the switch as well as lack of training with the new injection device. Where training with the new device had been provided, there were significantly reduced reports of pain when injecting the new biosimilar (OR 0.20, 95% CI 0.07 to 0.55), side effects (OR 0.17, 95% CI 0.06 to 0.47) and difficulty in using the new injection device (OR 0.25, 95% CI 0.15 to 0.41). Self-reported side effects were reduced by (OR 0.13, 95% CI 0.05 to 0.38) when written information was provided by healthcare professionals and by (OR 0.15, 95% CI 0.05 to 0.42) with provision of verbal information. Difficulty in using the new injection device was also reduced by provision of satisfactory information such as written documents (OR 0.38, 95% CI 0.23 to 0.63) or by verbal communication with healthcare professionals (OR 0.45, 95% CI 0.27 to 0.73). Finally, provision of satisfactory written or verbal information was associated with a reduction in any negative perception regarding symptom control with the new biosimilar by (OR 0.05, 95% CI 0.004 to 0.57) and by (OR 0.15, 95% CI 0.03 to 0.84), respectively.ConclusionsPatient reported experiences of the process of switching from originator to biosimilar emphasise the importance of clear communication, training and information in order to optimise perception and maximise achievable outcomes with the new treatment.
Level of knowledge, attitude and practice towards diabetes among nationals and long-term residents of Qatar: a cross-sectional study
Authors: Al-Mutawaa Kholoud Ateeq , Farghaly Aiman Hussein , Nasir Rehana , Loares Alma Malvar , Skaroni Ioanna , Al-Thani Mohammed , Abou-Samra Abdul-Badi 
Published: February 2022

ObjectivesThis study examines the levels of knowledge, attitude and practices (KAP) towards diabetes among Qatar nationals and long-term residents and its association with participants’ selected demographics.SettingA cross-sectional study conducted in public areas in all the eight municipalities of Qatar from July to October 2018.Participants2400 participants from the general public (nationals and long-term residents) stratified by gender, age and nationality across all geographic locations in Qatar.Primary and secondary outcome measuresResponses were scored from 0% to 100% and KAP scores were classified as low (0%–49%), intermediate (50%–74%) or high (75%–100%). Analyses and comparisons were performed using descriptive statistics and χ2 test at 5% level.ResultsMost participants (54%) had an intermediate overall KAP score, 43% had a low score and only 3% had a high score. The knowledge scores were the lowest among participants, 69% had low, 29% had intermediate and only 2% had high scores. Participants scored better in attitude and practice; the percentages of participants who scored high, intermediate and low were 32%, 55% and 13% for attitude, and 37%, 33% and 30% for practice, respectively. Except for age, level of knowledge significantly varied by gender, nationality and diabetes-related diagnosis (p<0.001); attitude and practice levels differed significantly in all four factors. Areas where participants were deficient include: diabetes types, risk factors, signs and symptoms, complications, recommended daily exercise, normal fasting glucose level, preventive measures, management and control and understanding about complexity of diabetes.ConclusionsParticipants generally have intermediate levels of positive attitudes and practices towards diabetes but low knowledge in diabetes-related factors. The data suggest that future communications should focus on educating the public and conduct mass campaigns about diabetes to improve knowledge especially targeting men and women, and both nationals and expatriates.
NHS Health Check programme: a rapid review update
Authors: Tanner L , Kenny RPW , Still M , Ling J , Pearson F , Thompson K , Bhardwaj-Gosling R 
Published: February 2022

ObjectiveTo update a rapid review published in 2017, which evaluated the NHS Health Check programme.MethodsAn enlarged body of evidence was used to readdress six research objectives from a rapid review published in 2017, relating to the uptake, patient experiences and effectiveness of the NHS Health Check programme. Data sources included MEDLINE, PubMed, Embase, Health Management Information Consortium (HMIC), Cumulative Index of Nursing and Allied Health Literature (CINAHL), Global Health, PsycINFO, the Cochrane Library, NHS Evidence, Google Scholar, Google, ClinicalTrials.gov and the ISRCTN registry, Web of Science, Science Citation Index, The Cochrane Library, NHS Evidence, OpenGrey and hand searching article reference lists. These searches identified records from between January 1996 and December 2019. Screening, data extraction and quality appraisal using the Critical Appraisals Skills Programme checklists were performed in duplicate. Grading of Recommendations Assessment, Development and Evaluations was implemented. Data were synthesised narratively.Results697 studies were identified, and 29 new studies included in the review update. The number of published studies on the uptake, patient experiences and effectiveness of the NHS Health Check programme has increased by 43% since the rapid review published in 2017. However, findings from the original review remain largely unchanged. NHS Health Checks led to an overall increase in the detection of raised risk factors and morbidities including diabetes mellitus, hypertension, raised blood pressure, cholesterol and chronic kidney disease. Individuals most likely to attend the NHS Health Check programme included women, persons aged ≥60 years and those from more socioeconomically advantaged backgrounds. Opportunistic invitations increased uptake among men, younger persons and those with a higher deprivation level.ConclusionsAlthough results are inconsistent between studies, the NHS Health Check programme is associated with increased detection of heightened cardiovascular disease risk factors and diagnoses. Uptake varied between population subgroups. Opportunistic invitations may increase uptake.
Can natural language processing models extract and classify instances of interpersonal violence in mental healthcare electronic records: an applied evaluative study
Authors: Botelle Riley , Bhavsar Vishal , Kadra-Scalzo Giouliana , Mascio Aurelie , Williams Marcus V , Roberts Angus , Velupillai Sumithra , Stewart Robert 
Published: February 2022

ObjectiveThis paper evaluates the application of a natural language processing (NLP) model for extracting clinical text referring to interpersonal violence using electronic health records (EHRs) from a large mental healthcare provider.DesignA multidisciplinary team iteratively developed guidelines for annotating clinical text referring to violence. Keywords were used to generate a dataset which was annotated (ie, classified as affirmed, negated or irrelevant) for: presence of violence, patient status (ie, as perpetrator, witness and/or victim of violence) and violence type (domestic, physical and/or sexual). An NLP approach using a pretrained transformer model, BioBERT (Bidirectional Encoder Representations from Transformers for Biomedical Text Mining) was fine-tuned on the annotated dataset and evaluated using 10-fold cross-validation.SettingWe used the Clinical Records Interactive Search (CRIS) database, comprising over 500 000 de-identified EHRs of patients within the South London and Maudsley NHS Foundation Trust, a specialist mental healthcare provider serving an urban catchment area.ParticipantsSearches of CRIS were carried out based on 17 predefined keywords. Randomly selected text fragments were taken from the results for each keyword, amounting to 3771 text fragments from the records of 2832 patients.Outcome measuresWe estimated precision, recall and F1 score for each NLP model. We examined sociodemographic and clinical variables in patients giving rise to the text data, and frequencies for each annotated violence characteristic.ResultsBinary classification models were developed for six labels (violence presence, perpetrator, victim, domestic, physical and sexual). Among annotations affirmed for the presence of any violence, 78% (1724) referred to physical violence, 61% (1350) referred to patients as perpetrator and 33% (731) to domestic violence. NLP models’ precision ranged from 89% (perpetrator) to 98% (sexual); recall ranged from 89% (victim, perpetrator) to 97% (sexual).ConclusionsState of the art NLP models can extract and classify clinical text on violence from EHRs at acceptable levels of scale, efficiency and accuracy.
Effectiveness of virtual reality-based interventions in rehabilitation management of breast cancer survivors: protocol of a systematic review and meta-analysis
Authors: Bu Xiaofan , Ng Peter H F , Chen Qi , Cheng Andy S K , Xu Wenjing , Tong Ying , Tang Qingping , Liu Xiangyu 
Published: February 2022

IntroductionBreast cancer is the leading cause of global cancer incidence and represents 11.7% of all new cancer cases. However, breast cancer survivors (BCS) suffer from many intense physical and psychological symptoms, functional deficits and adverse effects during and after treatment, significantly affecting their quality of life. Virtual reality (VR) technology uses computer technology to create an interactive three-dimensional world by visual, audio and touch simulation and is being used in breast cancer rehabilitation management. This paper reports on the protocol for a systematic review and meta-analysis exploring the efficacy of VR-based interventions in the rehabilitation management of BCS.Methods and analysisThis protocol for conducting a systematic review and meta-analysis was prepared according to the recommendations of the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols 2015 statement. Web of Science, PubMed, Embase, CINAHL, Cochrane Central Register of Controlled Trials, CNKI, Wanfang, VIP and SinoMed will be used in the search. The search will include randomised controlled trials, quasi-experimental studies and case-controlled trials published in English and Chinese. Further, the risk of bias of the studies included in the systematic review and meta-analysis will be assessed using the Cochrane risk-of-bias tool. The statistical program Review Manager V.5.3 will be used in the meta-analysis. The I² test will be used to determine statistical heterogeneity among the included studies.Ethics and disseminationEthics approval will not be needed because the data to be used in this systematic review and meta-analysis will be extracted from published studies. The systematic review and meta-analysis will focus on whether VR-based interventions are effective in the rehabilitation management of BCS. It will be disseminated by publication in a peer-reviewed journal.PROSPERO registration numberCRD42021250727.
Implementation and prospective evaluation of the Country Heart Attack Prevention model of care to improve attendance and completion of cardiac rehabilitation for patients with cardiovascular diseases living in rural Australia: a study protocol
Authors: Beleigoli Alline , Nicholls Stephen J , Brown Alex , Chew Derek P , Beltrame John , Maeder Anthony , Maher Carol , Versace Vincent L , Hendriks Jeroen M , Tideman Philip , Kaambwa Billingsley , Zeitz Christopher , Prichard Ivanka J , Tavella Rosanna , Tirimacco Rosy , Keech Wendy , Astley Carolyn , Govin Kay , Nesbitt Katie , Du Huiyun , Champion Stephanie , Pinero de Plaza Maria Alejandra , Lynch Imelda , Poulsen Vanessa , Ludlow Marie , Wanguhu Ken , Meyer Hendrika , Krollig Ali , Gebremichael Lemlem , Green Chloe , Clark Robyn A 
Published: February 2022

IntroductionDespite extensive evidence of its benefits and recommendation by guidelines, cardiac rehabilitation (CR) remains highly underused with only 20%–50% of eligible patients participating. We aim to implement and evaluate the Country Heart Attack Prevention (CHAP) model of care to improve CR attendance and completion for rural and remote participants.Methods and analysisCHAP will apply the model for large-scale knowledge translation to develop and implement a model of care to CR in rural Australia. Partnering with patients, clinicians and health service managers, we will codevelop new approaches and refine/expand existing ones to address known barriers to CR attendance. CHAP will codesign a web-based CR programme with patients expanding their choices to CR attendance. To increase referral rates, CHAP will promote endorsement of CR among clinicians and develop an electronic system that automatises referrals of in-hospital eligible patients to CR. A business model that includes reimbursement of CR delivered in primary care by Medicare will enable sustainable access to CR. To promote CR quality improvement, professional development interventions and an accreditation programme of CR services and programmes will be developed. To evaluate 12-month CR attendance/completion (primary outcome), clinical and cost-effectiveness (secondary outcomes) between patients exposed (n=1223) and not exposed (n=3669) to CHAP, we will apply a multidesign approach that encompasses a prospective cohort study, a pre-post study and a comprehensive economic evaluation.Ethics and disseminationThis study was approved by the Southern Adelaide Clinical Human Research Ethics Committee (HREC/20/SAC/78) and by the Department for Health and Wellbeing Human Research Ethics Committee (2021/HRE00270), which approved a waiver of informed consent. Findings and dissemination to patients and clinicians will be through a public website, online educational sessions and scientific publications. Deidentified data will be available from the corresponding author on reasonable request.Trial registration numberACTRN12621000222842.
Impact of public health insurance coverage of novel anticancer medication on medical expenditure and patient affordability in a provincial medical centre of China: a propensity score-matching analysis with the quasi-experimental design
Authors: Diao Yifan , Lin Mengbo , Xu Kai , Huang Ji , Wu Xiongwei , Li Mingshuang , Sun Jing , Li Hong 
Published: February 2022

IntroductionLittle is known about the impact of the government’s efforts in having novel anticancer medicines covered by the public health insurance system in China. This study targeted the above policy implemented in Fujian province in 2017, analysed the policy impact on the medical expenditure of cancer treatment and patient affordability based on the clinical data of Fujian provincial medical centre.MethodsThe study included 253 human epidermal growth factor receptor 2-positive patients with breast cancer who completed at least one course of trastuzumab treatment extracted from the hospital health information system of the provincial medical centre of Fujian. We adopted the propensity score-matching method to mimic a quasi-experimental design to estimate the impact of the public health insurance coverage policy on all the indicated patients with a before–after comparison of the total breast cancer-associated direct medical expenditures for a standard course of treatment or maintenance treatment and the proportionate patient out-of-pocket (OOP) expenditure based on the real clinical data.ResultsWe found evidence of an association between the public health insurance coverage of novel breast cancer medication and the reductions of the medical expenditure by US$18661.02 (95% CI 13 836.57 to 28 201.45), and the proportionate patient OOP expenditure by 24% (95% CI0.20 to 0.27). The medical expenditure and the proportionate patient OOP expenditure might be generally reduced.ConclusionsThe coverage of innovative antibreast cancer medicines by the public health insurance was found to be associated with a reduction of the medical expenditure and share of patient OOP expenditure for cancer treatment of the indicated patients. Patients with lower ability-to-pay did not benefit well from the coverage policy. To maximise the welfare of the public health insurance coverage of novel anticancer medication, the study called for strengthened health insurance benefit packages of the rural patient and the patient enrolled in the urban and rural resident health insurance programme, who might have lower ability-to-pay and need more support from the public security system.