Search Results for: GPG: Versione 5.7.5 (Novembre 2021)

Objective
To investigate the epidemiological characteristics and temporal-spatial distribution of Mycoplasma pneumoniae (MP) infections among paediatric inpatients with respiratory tract infections in Tianjin, China, across three distinct phases: pre-pandemic (2017–2019), pandemic (2020–2022) and post-pandemic (2023–2024). The primary hypothesis is that the COVID-19 pandemic altered the epidemiology of MP infections in children.

Design
Retrospective, single-centre study.

Setting
Secondary care paediatric hospital in a metropolitan area.

Participants
A total of 60 213 paediatric patients hospitalised with respiratory infections between January 2017 and December 2024 were included. The study population consisted of children aged 0–18 years, with a male-to-female ratio of 1.22:1.00. Selection criteria included children admitted with a diagnosis of respiratory infection, while those with incomplete clinical data or non-respiratory infections were excluded.

Primary and secondary outcome measures
The primary outcome was the overall positive detection rate of MP-RNA. Secondary outcomes included annual and seasonal variations in MP-RNA detection rates, differences by sex and age group, and the impact of the COVID-19 pandemic on MP epidemiology. All statistical methods, including those used to control for confounding, involved the use of ² tests for comparing positive rates between groups.

Results
The overall positive detection rate of MP-RNA among children hospitalised for respiratory infections during the study period was 36.58% (22 023/60 213). The annual MP-RNA-positive detection rates from 2017 to 2024 were as follows: 50.74% (411/810) in 2017, 36.28% (1150/3170) in 2018, 27.41% (1459/5323) in 2019, 10.18% (222/2181) in 2020, 11.42% (928/8129) in 2021, 13.27% (579/4364) in 2022, 28.97% (3064/10575) in 2023 and 55.38% (14 210/25 661) in 2024. The highest annual positivity rate was observed in 2024 (55.38%, 14 210/25 661), while the lowest rate occurred in 2020 (10.18%, 222/2181). Statistical analysis revealed significant differences in MP-RNA detection rates across different years (²=8331.511, p

Objectives
This study aimed to examine the impact of the first COVID-19 lockdown period on access to postnatal contraception (PNC) and wider postnatal care and to explore the experiences of PNC care within the North East and North Cumbria (NENC) Integrated Care System (ICS) during the same period.

Design
This study reports a subanalysis of the NENC Postnatal Contraception (PoCo) study, an online survey of a convenience sample of women in the NENC ICS who completed pregnancies between 2019 and 2023.

Setting
Women who completed pregnancies between 2019 and 2023 in the NENC ICS.

Participants
Out of the total 2509 eligible participants who completed the PoCo survey, women who delivered in April–June 2020, April–June 2021 and April–June 2022 were included within this subanalysis, resulting in 457 eligible survey responses. There were no additional exclusion criteria.

Primary and secondary outcome measures
Primary outcome measures were PNC uptake and number of healthcare professional contacts during the postnatal period. Secondary outcome measures were self-reported experiences of PNC care.

Results
Women who delivered in April–June 2020 had fewer postnatal contacts than women who delivered in subsequent non-lockdown cohorts and were less likely to be offered PNC prior to discharge. There were no significant differences in relation to PNC uptake. In qualitative analyses, several women who delivered in 2020 highlighted COVID-19 as a factor perceived to be associated with poor postnatal care. Across all three groups, experiences of PNC care were diverse; feeling pressured to accept PNC was frequently reported.

Conclusions
While the first COVID-19 lockdown appears to have had a significant impact on women’s experiences of postnatal care, this did not result in a substantive decrease in PNC provision, likely reflecting pre-existing shortcomings. These women and families may benefit from additional support postpandemic to mitigate the potential life course implications of restricted support in the postpartum period, and policy-makers and healthcare providers should continue to explore innovative and patient-centred approaches to improving PNC provision. Future research should continue to evaluate the longer-term impacts of these changes in non-pandemic contexts.

Objectives
Unplanned pneumonia readmissions increase patient morbidity, mortality and healthcare costs. Among pneumonia patients, the middle-aged and elderly (≥45 years old) have a significantly higher risk of readmission compared with the young. Given that the 14-day readmission rate is considered a healthcare quality indicator, this study is the first to develop survival machine learning (ML) models using emergency department (ED) data to predict 14-day readmission risk following pneumonia-related admissions.

Design
A retrospective multicentre cohort study.

Setting
This study used the Taipei Medical University Clinical Research Database, including data from patients at three affiliated hospitals.

Participants
11 989 hospital admissions for pneumonia among patients aged ≥45 years admitted from 2014 to 2021.

Primary and secondary outcome measures
The dataset was randomly split into training (80%), validation (10%) and independent test (10%) sets. Input features included demographics, comorbidities, clinical events, vital signs, laboratory results and medical interventions. Four survival ML models—CoxNet, Survival Tree, Gradient Boosting Survival Analysis and Random Survival Forest—were developed and compared on the validation set. The best performance model was tested on the independent test set.

Results
The RSF model outperformed the other models. Validation on an independent test set confirmed the model’s robustness (C-index=0.710; AUC=0.693). The most important predictive features included creatinine levels, age, haematocrit levels, Charlson Comorbidity Index scores, and haemoglobin levels, with their predictive value changing over time.

Conclusions
The RSF model effectively predicts 14-day readmission risk among pneumonia patients. The ED data-based model allows clinicians to estimate readmission risk before ward admission or discharge from the ED, enabling timely interventions. Accurately predicting short-term readmission risk might also further support physicians in designing the optimal healthcare programme and controlling individual medical status to prevent readmissions.

Objectives
This study aimed to evaluate the impact of the Charlson Comorbidity Index (CCI) on in-hospital outcomes in patients with aortic stenosis (AS) undergoing aortic valve replacement (AVR) and to compare the efficacy of transcatheter aortic valve replacement (TAVR) and surgical aortic valve replacement (SAVR) in patients with different comorbidity burdens.

Setting
The National Clinical Research Center for Cardiovascular Diseases.

Participants
A retrospective analysis was conducted on 3380 AS patients who underwent AVR in Beijing Anzhen Hospital from January 2015 to October 2021.

Interventions
Patients were stratified into low (0–1) and high (≥2) CCI groups.

Primary and secondary outcome measures
The primary outcome was Valve Academic Research Consortium-2 (VARC-2) composite early safety endpoints.

Results
Patients with high CCI scores exhibited significantly higher rates of VARC-2 composite adverse outcomes compared with those with low scores (50.3% vs 44.2%, p=0.001). After adjusting for confounding factors, high CCI scores were independently associated with the VARC-2 composite adverse outcomes (OR=1.36, 95% CI 1.17 to 1.58, p

Introduction
Over one billion adults attend emergency departments (EDs) internationally every year, including 6.6 million in Australia. Up to half of these patients have a peripheral intravenous catheter (PIVC) inserted. Although healthcare workers believe that placing a cannula is helpful (‘just in case’), PIVCs often remain idle. PIVC insertion is painful for patients, takes clinicians’ attention away from other care, has adverse outcomes and causes major economic and environmental burden. Our aim is to codesign an implementation toolkit to reduce unnecessary PIVC insertions and improve other national quality indicators using an implementation science framework.

Methods and analysis
A stepped-wedge cluster-controlled trial will be conducted in nine ED sites (clusters) across Australia. The interventions will be codesigned with and adapted to sites based on local context. The interventions are evidence-based multimodal intervention (MMI) and aligned to the 2021 Australian Commission for Safety and Quality in Health Care National PIVC Clinical Care Standard. The Consolidated Framework for Implementation Research and Learning Health System will be used to guide implementation. Interventions will be phased across three steps (three sites per step), and each site will collect control and postintervention data using mainly routinely collected clinical data. Each site will be allocated to receive the intervention at one of three study steps. Implementation strategies will tailor broad clinician and consumer engagement, policy changes, education, audit and feedback and clinical champions, along with environment and equipment changes, to each site. The primary objective is to reduce the proportion of adult patients who have a PIVC inserted by 10%. We will evaluate the clinical, implementation and cost-effectiveness of the intervention.
Study findings will be used to conduct a health economic analysis, develop an implementation toolkit and inform a sustainable roadmap for national roll-out. This will meet the needs of a diverse range of EDs nationally and internationally.

Ethics and dissemination
The protocol was approved by the Monash Health Human Research Ethics Committee (HREC Reference Number: HREC/100808/MonH-2023-390692(v3)). The outcomes of this trial will be disseminated through peer-reviewed publications, conference presentations and communication with study partners and stakeholders including professional colleges and the Australian Commission for Safety and Quality in Health Care.

Trial registration number
Australian New Zealand Clinical Trials Registry registration number: ACTRN12623001248651. Date of registration: 1 December 2023. https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=386256&showOriginal=true&isReview=true

Objective
To estimate the prevalence of coronary heart disease (CHD) in Mauritius. Over the last half century, rapid socioeconomic development has taken place in the multiethnic Mauritius. It is unclear if this is paralleled with an increasing prevalence of CHD.

Design
Repeated cross-sectional population-based studies.

Setting
Mauritius.

Participants
Seven population-based surveys were performed in Mauritius between 1987 and 2021. Altogether, 29 997 participants aged 35–74 years were included.

Measures
Except in 2004 and 2021, all participants were examined with an ECG. ECG changes were classified as ‘probable CHD’ and ‘possible CHD’ according to the Minnesota Code model. Participants were asked about previous myocardial infarction, stroke and angina pectoris as told by a doctor. An affirmative answer to any of these questions was labelled as the presence of cardiovascular disease (CVD). Since 2009, questions about previous coronary bypass surgery and percutaneous coronary intervention were included. The prevalence estimates were age and sex standardised to the 2008 Mauritian population. Multivariable logistic regression evaluated associations between traditional CVD risk factors and CHD.

Results
The prevalence (with 95% CI) of probable CHD according to ECG did not increase between 1987 and 2015, 1.6% (1.2–2.1%) and 1.9% (1.5–2.3%), respectively, whereas the prevalence of possible CHD decreased, 23.7% (22.3–25.1%) and 17.3% (16.2–18.3%), respectively. Self-reported CVD did not increase between 1987 and 2021. Male sex, diabetes, impaired glucose tolerance (IGT), hypertension, smoking and self-reported history of CVD were associated independently with probable CHD, whereas female sex, IGT, hypertension, high cholesterol and self-reported history of CVD were associated independently with possible CHD. Ethnicity did not associate with probable CHD but with possible CHD. Postload plasma glucose associated with probable and possible CHD.

Conclusions
The prevalence of probable CHD according to ECG and the prevalence of self-reported history of CVD did not increase in Mauritius. Traditional cardiovascular risk factors were associated significantly with the presence of probable and possible CHD.

Erano 17,9 milioni nel 2021.Crescono anni vissuti con disabilità

Background and objective
Access to clean drinking water is essential for health and development. Despite global and national initiatives, many regions in India continue to face inadequate water access. This study assesses progress, sociodemographic determinants and geographic disparities in access to drinking water in India, aligning with Sustainable Development Goal (SDG) 6.1.

Design
This study used secondary data from five rounds of the National Family Health Survey (NFHS-1 to NFHS-5; 1992–2021), nationally representative surveys conducted across India. Logistic regression was employed to examine the association between household sociodemographic characteristics and access to improved drinking water. A Water Access Index (WAI) was constructed using Principal Component Analysis (PCA) based on four indicators: access to improved sources, on-premises availability, 5-minute round-trip access and household water treatment. The scores were normalised to a 0–100 scale.

Setting and participants
The study used household data from NFHS-1 (88 562 households), NFHS-2 (92 477), NFHS-3 (109 041), NFHS-4 (601 506) and NFHS-5 (636 699), covering all 36 states/union territories in India.

Results
There has been a notable improvement in access to improved sources, on-premises water and timely availability. Factors such as higher educational attainment, pucca housing and the absence of a below poverty line card were positively associated with better access. Based on WAI scores, 343 districts (49%) were categorised as front runners (65–99%), 142 districts (20%) as performers (50–64%) and 221 districts (31%) as aspirants (0–49%). Only one district (0.1%) achieved universal access. Many districts in West Bengal, Bihar, Odisha, Jharkhand and other states still exhibit low-to-moderate water access.

Conclusion
While access to improved drinking water has advanced, regional and socioeconomic disparities remain stark. Targeted, multisectoral policies are essential to ensure equitable progress towards SDG 6.1 across all districts and population groups in India.

Background
The lack of interoperability has been a well-recognised limitation associated with the use of electronic health records (EHR). However, less is known about how it manifests for frontline NHS staff when delivering care, how it impacts patient care and what its implications are on care efficiency.

Objectives
(1) To capture the perceptions of NHS physicians regarding the current state of EHR interoperability, (2) to investigate how poor interoperability affects patient care and safety and (3) to explore the effects it has had on care efficiency in the NHS.

Methods
An online Qualtrics survey was conducted between June and October 2021 to explore how NHS physicians perceived the present state of interoperability among EHR in service, its effects on patient safety and its impact on care efficiency in NHS healthcare facilities. Recruitment was performed via convenience sampling and snowballing in collaboration with contacts at Health Education England deaneries and the Royal College of General Practitioners. Descriptive statistics were used to report any notable findings observed.

Results
A total of 636 NHS physicians participated, of which 218 (34.3%) completed the survey fully. Participants reported that EHR interoperability is rudimentary across much of the NHS, with limited ability to read but not edit data from within their organisation. Negative perceptions were most pronounced among specialties in secondary care settings and those with less than 1 year of EHR experience or lower self-reported EHR skills. Limited interoperability prolonged hospital stays, lengthened consultation times and frequently necessitated repeat investigations to be performed. Limited EHR interoperability impaired physician access to clinical data, hampered communication between providers and was perceived to threaten patient safety.

Conclusion
As healthcare data continues to increase in complexity and volume, EHR interoperability must evolve to accommodate these growing changes and ensure the continued delivery of safe care. The experiences of physicians provide valuable insight into the practical challenges limited interoperability poses and can contribute to future policy solutions to better integrate EHR in the clinical environment.

Objectives
We aimed to analyse the trends, age distribution and disease burden of maternal sepsis and other maternal infections (MSMI) to improve management strategies.

Design
We extracted data from the global burden of disease (GBD) 2021 database to evaluate MSMI burden with different measures for the whole world, 21 GBD regions and 204 countries from 1990 to 2021.

Setting
Studies from the GBD 2021 database generated by population-representative data sources identified through a literature review and research collaborations were included.

Participants
Patients with an MSMI diagnosis.

Outcomes
Total numbers, age-standardised rates (ASRs) of incidence, prevalence, mortality and disability-adjusted life years (DALYs) on MSMI from the GBD 2021 study and their estimated annual percentage changes (EAPCs) were the primary outcomes.

Results
There were 19 047 404 (95% uncertainty interval (UI) 14 608 563 to 24 086 486) annual incident cases, 2 376 876 (95% UI 1 678 868 to 3 421 377) prevalent cases at a single time point, 17 665 (95% UI 14 628 to 21 191) death cases and 1 144 233 (95% UI 956 988 to 1 352 034) DALYs of total MSMI in 2021. From 1990, the case number and ASRs of incidences and prevalence showed decreasing trends, while the case number and ASRs of mortality and DALYs gradually increased with time, reaching the peak in 2001, and then declined. In 2021, the ASRs of incidence, prevalence, mortality and DALYs sharply increased with age, which reached the peak in the 20–24 age group. The ASRs were decreased with increasing sociodemographic index (SDI). In 2021, it showed a positive correlation between EAPC and ASR of DALYs (r=0.3398, p

Objectives
Prediction models for post-stroke mortality can support medical decision-making. Although numerous models have been developed, external validation studies determining the models’ transportability beyond the original settings are lacking. We aimed to assess the performance of two prediction models for post-stroke mortality in Berlin, Germany.

Design
We used data from the Berlin-SPecific Acute Treatment in Ischaemic or hAemorrhagic stroke with Long-term follow-up (B-SPATIAL) registry.

Setting
Multicentre stroke registry in Berlin, Germany.

Participants
Adult patients admitted within 6 hours after symptom onset and with a 10th revision of the International Classification of Diseases discharge diagnosis of ischaemic stroke, haemorrhagic stroke or transient ischaemic attack at one of 15 hospitals with stroke units between 1 January 2016 and 31 January 2021.

Primary outcome measures
We evaluated calibration (calibration-in-the-large, intercept, slope and plot) and discrimination performance (c-statistic) of Bray et al’s 30-day mortality and Smith et al’s in-hospital mortality prediction models. Information on mortality was supplemented by Berlin city registration office records.

Results
For the validation of Bray et al’s model, we included 7879 patients (mean age 75; 55.0% men). We observed 763 (9.7%) deaths within 30 days of stroke compared with 680 (8.6%) predicted. The model’s c-statistic was 0.865 (95% CI: 0.851 to 0.879). For Smith et al’s model, we performed the validation among 1931 patients (mean age 75; 56.2% men), observing 105 (5.4%) in-hospital deaths compared with the 92 (4.8%) predicted. The c-statistic was 0.891 (95% CI: 0.864 to 0.918). The calibration plots of both models revealed an underestimation of the mortality risk for high-risk patients.

Conclusions
Among Berlin stroke patients, both models showed good calibration performance for low and medium-risk patients and high discrimination while underestimating risk among high-risk patients. The acceptable performance of Bray et al’s model in Berlin illustrates how a small number of routinely collected variables can be sufficient for valid prediction of post-stroke mortality.

Purpose
The pathogenesis of the long-lasting symptoms which can follow an infection with the SARS-CoV-2 virus (‘long covid’) is not fully understood. The ‘COroNaVirus post-Acute Long-term EffectS: Constructing an evidENCE base’ (CONVALESCENCE) study was established as part of the Longitudinal Health and Wellbeing COVID-19 UK National Core Study. We performed a deep phenotyping case-control study nested within two cohorts (the Avon Longitudinal Study of Parents and Children and TwinsUK) as part of CONVALESCENCE.

Participants
From September 2021 to May 2023, 349 participants attended the CONVALESCENCE deep phenotyping clinic at University College London. Four categories of participants were recruited: cases of long covid (long covid(+)/SARS-CoV-2(+)), alongside three control groups: those with neither long covid symptoms nor evidence of prior COVID-19 (long covid(-)/SARS-CoV-2(-); control group 1), those who self-reported COVID-19 and had evidence of SARS-CoV-2 infection, but did not report long covid (long covid(-)/SARS-CoV-2(+); control group 2) and those who self-reported persistent symptoms attributable to COVID-19 but no evidence of SARS-CoV-2 infection (long covid(+)/SARS-CoV-2(-); control group 3). Remote wearable measurements were performed up until February 2024.

Findings to date
This cohort profile describes the baseline characteristics of the CONVALESCENCE cohort. Of the 349 participants, 141 (53±15 years old; 21 (15%) men) were cases, 89 (55±16 years old; 11 (12%) men) were in control group 1, 75 (49±15 years old; 25 (33%) men) were in control group 2 and 44 (55±16 years old; 9 (21%) men) were in control group 3.

Future plans
The study aims to use a multiorgan score calculated as the cumulative total for each of nine domains (ie, lung, vascular, heart, kidney, brain, autonomic function, muscle strength, exercise capacity and physical performance). The availability of data preceding acute COVID-19 infection in cohorts may help identify the consequences of infection independent of pre-existing subclinical disease and also provide evidence of determinants that influence the development of long covid.

Objectives
The COVID-19 pandemic induced significant changes in access policies to general practice (GP) in most countries. This study aimed to compare and discuss changes in the diagnostic patterns and GP procedures before and during the pandemic.

Design and setting
A register study including data from 11 Danish GP clinics.

Participants
Enlisted patients from GP followed 1 year before (February 2019 to January 2020; n=48 650) and 1 year during (April 2020 to March 2021; n=47 207) the COVID-19 pandemic.

Outcome measures
Diagnostic patterns, consultation type (face-to-face, email and phone), contact persons (GP or GP staff) and patient characteristics.

Results
The average number of contacts with GP increased from 6.3 contacts per year per patient before the pandemic to 8.3 annual contacts during the pandemic (p

Objectives
This study aims to determine key workforce variables (demographic, health and occupational) that predicted National Health Service (NHS) staff’s absence due to illness and expressed intention to leave their current profession.

Design, setting and participants
Staff from 18 NHS Trusts were surveyed between April 2020 and January 2021, and again approximately 12 months later.

Outcome measures
Logistic and linear regression were used to explore relationships between baseline exposures and four 12-month outcomes: absence due to COVID-19, absence due to non-COVID-19 illness, actively seeking employment outside current profession and regularly thinking about leaving current profession.

Results
22 555 participants (out of a possible 152 286 employees; 15%) completed the baseline questionnaire. 10 831 participants completed the short follow-up questionnaire at 12 months and 5868 also completed the long questionnaire; these participants were included in the analyses of sickness absence and intention to leave, respectively. 20% of participants took 5+ days of work absence for non-COVID-19 sickness in the 12 months between baseline and 12-month questionnaire; 14% took 5+ days of COVID-19-related sickness absence. At 12 months, 20% agreed or strongly agreed they were actively seeking employment outside their current profession; 24% thought about leaving their profession at least several times per week. Sickness absence (COVID-19 and non-COVID-19 related) and intention to leave the profession (actively seeking another role and thinking about leaving) were all more common among NHS staff who were younger, in a COVID-19 risk group, had a probable mental health disorder, and who did not feel supported by colleagues and managers.

Conclusions
Several factors affected both workforce retention and sickness absence. Of particular interest are the impact of colleague and manager support because they are modifiable. The NHS workforce is likely to benefit from training managers to speak with and support staff, especially those experiencing mental health difficulties. Further, staff should be given sufficient opportunities to form and foster social connections. Selection bias may have affected the presented results.

Objective
This review aimed to map the concept of patient safety culture in emergency departments (EDs), describe the availability of evidence related to patient safety culture as assessed by healthcare workers, identify the key focus areas of existing studies and pinpoint gaps in the current literature.

Design
A scoping review followed a comprehensive methodological process that included five steps based on the framework developed by Arksey and O’Malley and updated by Peters et al.

Eligibility criteria
Studies encompassing original research and all pertinent published and grey literature within the last 15 years (2010–2024) that aligned with the population (healthcare workers), concept (patient safety culture) and context (emergency department) framework for this study were included.

Data sources
PubMed, CINAHL (EBSCOhost), WOS, Embase, MEDLINE (Ovid), and KISS databases were searched for original studies published between 2010 and 2024 that aligned with the topic of this study.

Data extraction and synthesis
Two researchers independently extracted data from 28 eligible articles using a predetermined data extraction tool. A third researcher reviewed the data to ensure accuracy.

Results
A total of 28 articles were included in the review. The findings indicated an increase in research on patient safety culture in emergency departments since 2021. However, no eligible studies have assessed it within North America. Teamwork within units was the most positively perceived dimension, whereas the reporting of patient safety incidents was the least positively perceived dimension.

Conclusions
Although research on patient safety culture in eergency departments has increased, the findings remain limited in their generalisability due to a lack of diverse methodologies. Qualitative studies are needed to deepen the understanding of patient safety culture in multifaceted contexts. This review contributes to the academic field by bringing us closer to developing tailored interventions that can foster a positive patient safety culture in emergency departments.

Protocol registration
The protocol for this scoping review was registered in the Open Science Framework (https://osf.io/9f7qc).