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Hip osteoarthritis (OA) is a major cause of pain and disability worldwide. Lack of effective therapies may reflect poor knowledge on its aetiology and risk factors, and result in the management of end-stage hip OA with costly joint replacement. The Worldwide Collaboration on OsteoArthritis prediCtion for the Hip (World COACH) consortium was established to pool and harmonise individual participant data from prospective cohort studies. The consortium aims to better understand determinants and risk factors for the development and progression of hip OA, to optimise and automate methods for (imaging) analysis, and to develop a personalised prediction model for hip OA.
World COACH aimed to include participants of prospective cohort studies with ≥200 participants, that have hip imaging data available from at least 2 time points at least 4 years apart. All individual participant data, including clinical data, imaging (data), biochemical markers, questionnaires and genetic data, were collected and pooled into a single, individual-level database.
World COACH currently consists of 9 cohorts, with 38 021 participants aged 18–80 years at baseline. Overall, 71% of the participants were women and mean baseline age was 65.3±8.6 years. Over 34 000 participants had baseline pelvic radiographs available, and over 22 000 had an additional pelvic radiograph after 8–12 years of follow-up. Even longer radiographic follow-up (15–25 years) is available for over 6000 of these participants.
The World COACH consortium offers unique opportunities for studies on the relationship between determinants/risk factors and the development or progression of hip OA, by using harmonised data on clinical findings, imaging, biomarkers, genetics and lifestyle. This provides a unique opportunity to develop a personalised hip OA risk prediction model and to optimise methods for imaging analysis of the hip.
To analyse the effectiveness of rapid diagnostic clinics (RDCs) as an alternative pathway for patients with concerning symptoms and a faecal immunochemical test (FIT) result
A retrospective and prospective cohort study.
GSTT RDC, one of England’s largest single-centre RDCs. Sociodemographic and clinical characteristics of FIT
Patients with an FIT result
A total of 1299 patients with an FIT
This study demonstrates the effectiveness of RDCs as an alternate pathway for FIT
On 6 April 2022, the UK government implemented mandatory kilocalorie (kcal) labelling regulations for food and drink products sold in the out-of-home food sector (OHFS) in England. Previous assessments of kcal labelling practices in the UK OHFS found a low prevalence of voluntary implementation and poor compliance with labelling recommendations. This study aimed to examine changes in labelling practices preimplementation versus post implementation of mandatory labelling regulations in 2022.
In August–December 2021 (preimplementation) and August–November 2022 (post implementation), large OHFS businesses (250 or more employees) subject to labelling regulations were visited. At two time points, a researcher visited the same 117 food outlets (belonging to 90 unique businesses) across four local authorities in England. Outlets were rated for compliance with government regulations for whether kcal labelling was provided at any or all point of choice, provided for all eligible food and drink items, provided per portion for sharing items, if labelling was clear and legible and if kcal reference information was displayed.
There was a significant increase (21% preimplementation vs 80% post implementation, OR=40.98 (95% CI 8.08 to 207.74), p
The number of large businesses in the OHFS providing kcal labelling increased following the implementation of mandatory labelling regulations. However, around one-fifth of eligible outlets sampled were not providing kcal labelling 4–8 months after the regulations came into force, and the majority of businesses only partially complied with government guidance. More effective enforcement may be required to further improve kcal labelling practices in the OHFS in England.
Study protocol and analysis strategy preregistered on Open Science Framework (https://osf.io/pfnm6/).
To identify the nature, degree and contributing factors of workplace violence (WPV) incidents experienced by Australian nursing students during clinical placement.
Descriptive cross-sectional study.
Data were collected from 13 September to 25 November 2022. Eligible participants included all nursing students enrolled in nursing degrees at any Australian university who had completed at least one clinical placement. An adapted version of the WPV in the Health Sector Country Case Study survey was used.
A total of 381 nursing students across eight states of Australia completed the survey. More than half of the students had experienced an episode of WPV; patients were the most frequent perpetrators. Personal factors of patients, staff and students, organizational factors and cultural norms within the workplace supported acts of WPV.
Student nurses (SNs) most often experience violence from patients during direct care. Patient encounters are the core component of clinical placement. Education providers have a responsibility to effectively prepare students to be able to identify escalating situations and manage potentially violent situations. Registered nurses who supervise students during clinical placement require support to balance their clinical role with student supervision.
Experiencing WPV can negatively impact relationships between students, healthcare professionals and care recipients. This results in personal distress, decreased job satisfaction and potentially the decision to leave the nursing profession.
What already is known: SNs are exposed to WPV during clinical placement.
What this paper adds: More than half the SNs in this study experienced violence inclusive of physical, verbal, racial and sexual harassment. Patients were the predominant perpetrators.
Implications for practice/policy: Interventions at individual and systemic levels are required to mitigate WPV.
This study is reported using the STROBE guidelines.
Preventing readmission to hospital after giving birth is a key priority, as rates have been rising along with associated costs. There are many contributing factors to readmission, and some are thought to be preventable. Nurse and midwife understaffing has been linked to deficits in care quality. This study explores the relationship between staffing levels and readmission rates in maternity settings.
We conducted a retrospective longitudinal study using routinely collected individual patient data in three maternity services in England from 2015 to 2020. Data on admissions, discharges and case-mix were extracted from hospital administration systems. Staffing and workload were calculated in Hours Per Patient day per shift in the first two 12-hour shifts of the index (birth) admission. Postpartum readmissions and staffing exposures for all birthing admissions were entered into a hierarchical multivariable logistic regression model to estimate the odds of readmission when staffing was below the mean level for the maternity service.
64 250 maternal admissions resulted in birth and 2903 mothers were readmitted within 30 days of discharge (4.5%). Absolute levels of staffing ranged between 2.3 and 4.1 individuals per midwife in the three services. Below average midwifery staffing was associated with higher rates of postpartum readmissions within 7 days of discharge (adjusted OR (aOR) 1.108, 95% CI 1.003 to 1.223). The effect was smaller and not statistically significant for readmissions within 30 days of discharge (aOR 1.080, 95% CI 0.994 to 1.174). Below average maternity assistant staffing was associated with lower rates of postpartum readmissions (7 days, aOR 0.957, 95% CI 0.867 to 1.057; 30 days aOR 0.965, 95% CI 0.887 to 1.049, both not statistically significant).
We found evidence that lower than expected midwifery staffing levels is associated with more postpartum readmissions. The nature of the relationship requires further investigation including examining potential mediating factors and reasons for readmission in maternity populations.
Annual cognitive screening in older adults is essential for early detection of cognitive impairment, yet primary care settings face time constraints that present barriers to routine screening. A remote cognitive screener completed on a patient’s personal smartphone before a visit has the potential to save primary care clinics time, encourage broader screening practices and increase early detection of cognitive decline. MyCog Mobile is a promising new remote smartphone-based cognitive screening app for primary care settings. We propose a combined construct and clinical validation study of MyCog Mobile.
We will recruit a total sample of 300 adult participants aged 65 years and older. A subsample of 200 healthy adult participants and a subsample of 100 adults with a cognitive impairment diagnosis (ie, dementia, mild cognitive impairment, cognitive deficits or other memory loss) will be recruited from the general population and specialty memory care centres, respectively. To evaluate the construct validity of MyCog Mobile, the healthy control sample will self-administer MyCog Mobile on study-provided smartphones and be administered a battery of gold-standard neuropsychological assessments. We will compare correlations between performance on MyCog Mobile and measures of similar and dissimilar constructs to evaluate convergent and discriminant validity. To assess clinical validity, participants in the clinical sample will self-administer MyCog Mobile on a smartphone and be administered a Mini-Cog screener and these data will be combined with the healthy control sample. We will then apply several supervised model types to determine the best predictors of cognitive impairment within the sample. Area under the receiver operating characteristic curve, accuracy, sensitivity and specificity will be the primary performance metrics for clinical validity.
The Institutional Review Board at Northwestern University (STU00214921) approved this study protocol. Results will be published in peer-reviewed journals and summaries provided to the study’s funders.
To understand the perceived helpfulness and acceptability of a bespoke psychological therapy service for registered nurses. The service provided a free and confidential specialist mental health service to all healthcare professionals, including nurses and nursing students.
An exploratory study using a descriptive qualitative approach.
A purposive sample of 20 registered nurses accessing a bespoke psychological therapy service in Wales participated in audio-recorded semi-structured interviews in January 2022. Transcribed data were analysed using reflexive thematic analysis.
Four interrelated themes were identified from the data analysis: COVID [SARS-CoV-2] changed things; You're a nurse, you're human; I've got ‘me’ back; and pretty close to miracle workers.
Participants attempted to live up to an idealized image of a nurse, generating self-stigmatizing beliefs that negatively affected their mental health. The psychological therapy service enabled participants to put their roles into perspective, that is, separate themselves from their role, be vulnerable, and develop confidence and adaptive coping strategies. Participants valued the minimal barriers and ease of access to support.
The complex relationship between nurse identity and the challenges of the workplace needs to be central to nurse education. Nurses can benefit from rapid access to a timely, confidential, and independent self-referring psychological therapy service.
This qualitative study explored the helpfulness and accessibility of psychological support for nurses. The main themes were that COVID changed things; You're a nurse, you're human; I've got ‘me’ back; and pretty close to miracle workers. The findings will impact how nurses are supported in the United Kingdom and worldwide.
This report adheres to the standards for reporting qualitative research (SRQR).
No patient or public contribution.
To explore researchers’ experiences of funding processes, the effort and burden involved in applying for funding, obtaining funding and/or fulfilling reporting requirements with a UK health and social care research funder.
A cross-sectional online survey study with open (free-text) and closed questions (August to November 2021).
Researchers with experience of applying for/obtaining funding and/or experience of fulfilling reporting requirements for UK health and social care research funded between January 2018 and June 2021.
The survey was completed by 182 researchers, of which 176 had experience with applying for/obtaining funding, and 143 had experience with fulfilling reporting requirements during the timeframe. The majority of the 176 respondents (58%) completed between 7 and 13 key processes in order to submit an application and 69% felt that it was critically important to undertake these key processes. Respondents (n=143) reported submitting an average of 17 reports as part of research monitoring to a range of organisations (eg, funders, Higher Education Institutions). However, only 33% of respondents felt it was critically important to provide the requested reporting information to the different organisations. Thematic analysis of free-text questions on application and reporting identified themes relating to process inefficiencies including streamlining and alignment of systems, lack of understanding of processes including a need for improved communication and feedback from organisations with clear explanations about what information is needed, when and why, the support required by respondents and the time, effort and impact on workload and well-being.
Through this study, we were able to identify funding processes that are considered by some to be effortful, but necessary, as well as those that were perceived as unnecessary, complex and repetitive, and may waste some researchers time and effort and impact on well-being. Possible solutions to increase efficiency and enhance value in these processes were identified.
To explore whether large language models (LLMs) Generated Pre-trained Transformer (GPT)-3 and ChatGPT can write clinical letters and predict management plans for common orthopaedic scenarios.
Fifteen scenarios were generated and ChatGPT and GPT-3 prompted to write clinical letters and separately generate management plans for identical scenarios with plans removed.
Letters were assessed for readability using the Readable Tool. Accuracy of letters and management plans were assessed by three independent orthopaedic surgery clinicians.
Both models generated complete letters for all scenarios after single prompting. Readability was compared using Flesch-Kincade Grade Level (ChatGPT: 8.77 (SD 0.918); GPT-3: 8.47 (SD 0.982)), Flesch Readability Ease (ChatGPT: 58.2 (SD 4.00); GPT-3: 59.3 (SD 6.98)), Simple Measure of Gobbledygook (SMOG) Index (ChatGPT: 11.6 (SD 0.755); GPT-3: 11.4 (SD 1.01)), and reach (ChatGPT: 81.2%; GPT-3: 80.3%). ChatGPT produced more accurate letters (8.7/10 (SD 0.60) vs 7.3/10 (SD 1.41), p=0.024) and management plans (7.9/10 (SD 0.63) vs 6.8/10 (SD 1.06), p
This study shows that LLMs are effective for generation of clinical letters. With little prompting, they are readable and mostly accurate. However, they are not consistent, and include inappropriate omissions or insertions. Furthermore, management plans produced by LLMs are generic but often accurate. In the future, a healthcare specific language model trained on accurate and secure data could provide an excellent tool for increasing the efficiency of clinicians through summarisation of large volumes of data into a single clinical letter.
A trauma-informed approach (TIA) means working with awareness that people’s histories of trauma may shape the way they engage with services, organisations or institutions. Young people with adverse childhood experiences may be at risk of retraumatisation by organisational practices in schools and universities and by employers and health agencies when they seek support. There are limited evidence-based resources to help people working in the public sector to work with adolescents in trauma-informed ways and the needs of adolescents have not been central in resource development. This study contributes to public sector capacity to work in trauma-informed ways with adolescents by codesigning and evaluating the implementation of a youth-informed organisational resource.
This is an Accelerated Experience-based Co-design (AEBCD) Study followed by pre–post evaluation. Public sector organisations or services, and adolescents connected with them, will collaboratively reflect on lived experience data assembled through creative arts practice, alongside data from epidemiological national data sets. These will present knowledge about the impact of adverse childhood experiences on adolescents’ mental health (stage 1). Collaboratively, priorities (touch points) for organisational responses will be identified (stage 2), and a low-burden resource will be codesigned (stage 3) and offered for implementation (stage 4) and evaluation (stage 5) in diverse settings. The study will provide insights into what adolescents and public sector organisations in the UK want from a TIA resource, the experience of services/organisations in implementing this and recommendations for resource development and implementation.
The UK National Health Service Health Research Authority approved this study (23/WM/0105). Learning will be shared across study participants in a workshop at the end of the study. Knowledge products will include a website detailing the created resource and a youth-created film documenting the study process, the elements of the codesigned resource and experiences of implementation. Dissemination will target academic, healthcare, education, social care, third sector and local government settings via knowledge exchange events, social media, accessible briefings, conference presentations and publications.
Paramount to patient safety is the ability for nurses to make clinical decisions free from human error. Yet, the dynamic clinical environment in which nurses work is characterized by uncertainty, urgency, and high consequence, necessitating that nurses make quick and critical decisions. The aim of this study was to examine the influence of human and environmental factors on the decision to administer among new graduate nurses in response to alert generation during bar code–assisted medication administration. The design for this study was a descriptive, longitudinal, observational cohort design using EHR audit log and administrative data. The study was set at a large, urban medical center in the United States and included 132 new graduate nurses who worked on adult, inpatient units. Research variables included human and environmental factors. Data analysis included descriptive and inferential analyses. This study found that participants continued with administration of a medication in 90.75% of alert encounters. When considering the response to an alert, residency cohort, alert category, and previous exposure variables were associated with the decision to proceed with administration. It is important to continue to study factors that influence nurses' decision-making, particularly during the process of medication administration, to improve patient safety and outcomes.
Cardiac rehabilitation (CR) can reduce cardiovascular mortality and improve health-related quality of life. In the United Kingdom, patient uptake of CR remains low (52%), falling well short of the target in the 2019 National Health Service long-term plan (85%). Mobile health (mHealth) technologies, offering biometric data to patients and healthcare professionals, may bridge the gap between supervised exercise and physical activity advice, enabling patients to engage in regular long-term physically active lifestyles. This randomised controlled trial (RCT) will evaluate the feasibility of mHealth technology when incorporated into a structured home-based walking intervention, in people with recent myocardial infarction.
This is a feasibility, assessor blinded, parallel group RCT. Participants will be allocated to either CR standard care (control group) or CR standard care+mHealth supported exercise counselling (mHealth intervention group). Feasibility outcomes will include the number of patients approached, screened and eligible; the percentage of patients who decline CR (including reasons for declining), agree to CR and consent to being part of the study; the percentage of patients who enrol in standard CR and reasons for drop out; and the percentage of participants who complete clinical, physical and psychosocial outcomes to identify a suitable primary outcome for a future definitive trial.
The trial was approved in the UK by the Northwest—Greater Manchester East Research Ethics Committee (22/NW/0301) and is being conducted in accordance with the Declaration of Helsinki and Good Clinical Practice. Results will be published in peer-reviewed journals and presented at national and international scientific meetings.
Antimicrobial resistance (AMR) is a major global health problem. Efforts to mitigate AMR prioritise antimicrobial stewardship (AMS) interventions. These interventions typically focus on deficiencies in practice and providing negative or normative feedback. This approach may miss opportunities to learn from success. We aimed to identify factors that enable success in AMS practices in the paediatric intensive care unit (PICU) by analysing the data obtained from interviews with staff members who had achieved success in AMS.
Qualitative study design using thematic analysis of appreciative inquiry interviews with healthcare staff.
31-bedded PICU in the UK between January 2017 and January 2018.
71 staff who had achieved success in AMS in the PICU.
Six themes were identified: (1) cultural factors including psychological safety, leadership and positive attitude are important enablers for delivering good clinical care; (2) ergonomic design of the physical environment and ready availability of tools and resources are key elements to support good practice and decision-making; (3) expertise and support from members of the multidisciplinary team contribute to good care delivery; (4) clarity of verbal and written communication is important for sharing mental models and aims of care within the clinical team; (5) a range of intrinsic factors influences the performance of individual HCPs, including organisation skill, fear of failure, response to positive reinforcement and empathetic considerations towards peers; (6) good clinical care is underpinned by a sound domain knowledge, which can be acquired through training, mentorship and experience.
The insights gained in this study originate from frontline staff who were interviewed about successful work-as-done. This strengths-based approach is an understudied area of healthcare, and therefore offers authentic intelligence which may be leveraged to effect tangible improvement changes. The methodology is not limited to AMS and could be applied to a wide range of healthcare settings.
To identify specific facial expressions associated with pain behaviors using the PainChek application in residents with dementia.
This is a secondary analysis from a study exploring the feasibility of PainChek to evaluate the effectiveness of a social robot (PARO) intervention on pain for residents with dementia from June to November 2021.
Participants experienced PARO individually five days per week for 15 min (once or twice) per day for three consecutive weeks. The PainChek app assessed each resident's pain levels before and after each session. The association between nine facial expressions and the adjusted PainChek scores was analyzed using a linear mixed model.
A total of 1820 assessments were completed with 46 residents. Six facial expressions were significantly associated with a higher adjusted PainChek score. Horizontal mouth stretch showed the strongest association with the score, followed by brow lowering parting lips, wrinkling of the nose, raising of the upper lip and closing eyes. However, the presence of cheek raising, tightening of eyelids and pulling at the corner lip were not significantly associated with the score. Limitations of using the PainChek app were identified.
Six specific facial expressions were associated with observational pain scores in residents with dementia. Results indicate that automated real-time facial analysis is a promising approach to assessing pain in people with dementia. However, it requires further validation by human observers before it can be used for decision-making in clinical practice.
Pain is common in people with dementia, while assessing pain is challenging in this group. This study generated new evidence of facial expressions of pain in residents with dementia. Results will inform the development of valid artificial intelligence-based algorithms that will support healthcare professionals in identifying pain in people with dementia in clinical situations.
The study adheres to the CONSORT reporting guidelines.
One resident with dementia and two family members of people with dementia were consulted and involved in the study design, where they provided advice on the protocol, information sheets and consent forms, and offered valuable insights to ensure research quality and relevance.
Australian and New Zealand Clinical Trials Registry number (ACTRN12621000837820).
The aim of this study was to describe medication administration and alert patterns among a cohort of new graduate nurses over the first year of practice. Medical errors related to clinical decision-making, including medication administration errors, may occur more frequently among new graduate nurses. To better understand nursing workflow and documentation workload in today's clinical environment, it is important to understand patterns of medication administration and alert generation during barcode-assisted medication administration. Study objectives were addressed through a descriptive, longitudinal, observational cohort design using secondary data analysis. Set in a large, urban medical center in the United States, the study sample included 132 new graduate nurses who worked on adult, inpatient units and administered medication using barcode-assisted medication administration. Data were collected through electronic health record and administration sources. New graduate nurses in the sample experienced a total of 587 879 alert and medication administration encounters, administering 772 unique medications to 17 388 unique patients. Nurses experienced an average medication workload of 28.09 medications per shift, 3.98% of which were associated with alerts, over their first year of practice. In addition to high volume of medication administration, new graduate nurses administer many different types of medications and are exposed to numerous alerts while using barcode-assisted medication administration.
To describe the implementation of a trauma-informed model of care in the Post COVID Respiratory Clinic of a large tertiary referral centre in NSW.
Discussion paper.
Evidence gathered from a literature search (2008–2022) was used to develop a framework for management of patients presenting to this Post COVID Respiratory Clinic. This paper outlines the personal reflections of the clinic staff as they developed and implemented this framework. Ethical approval was obtained to report the data collected from patient reviews.
The literature highlights the high prevalence of trauma in patients following COVID-19 infection, as well as the larger population both during and after the pandemic. This experience of trauma was observed in patients seen within the clinic, indicating a need for specialized care. In response, a trauma-informed model of care was implemented.
Reconceptualizing COVID-19 as a ‘collective trauma’ can help healthcare workers understand the needs of post-COVID patients and enable them to respond empathetically. A trauma-informed model is complementary to this cohort as it specifically addresses vulnerable populations, many of whom have been further marginalized by the pandemic.
Frontline healthcare workers, particularly nurses, are well positioned to implement trauma-informed care due to their high-level of patient contact. Adequate allocation of resources and investment in staff is essential to ensure such care can be provided.
The COVID-19 pandemic has led to adverse physical and mental health outcomes for many. Trauma-informed care is a way to promote reengagement with the healthcare system in this group. Post COVID patients globally may benefit from this approach, as it aims to build trust and independence.
Feedback was sought from a patient representative to ensure this paper adequately reflected the experience of the post-COVID patient.
by Rebecca H. Correia, Darly Dash, Aaron Jones, Meredith Vanstone, Komal Aryal, Henry Yu-Hin Siu, Aquila Gopaul, Andrew P. Costa
We established consensus on practice-based metrics that characterize quality of care for older primary care patients and can be examined using secondary health administrative data. We conducted a two-round RAND/UCLA Appropriateness Method (RAM) study and recruited 10 Canadian clinicians and researchers with expertise relevant to the primary care of elderly patients. Informed by a literature review, the first RAM round evaluated the appropriateness and importance of candidate quality measures in an online questionnaire. Technical definitions were developed for each endorsed indicator to specify how the indicator could be operationalized using health administrative data. In a virtual synchronous meeting, the expert panel offered feedback on the technical specifications for the endorsed indicators. Panelists then completed a second (final) questionnaire to rate each indicator and corresponding technical definition on the same criteria (appropriateness and importance). We used statistical integration to combine technical expert panelists’ judgements and content analysis of open-ended survey responses. Our literature search and internal screening resulted in 61 practice-based quality indicators for rating. We developed technical definitions for indicators endorsed in the first questionnaire (n = 55). Following the virtual synchronous meeting and second questionnaire, we achieved consensus on 12 practice-based quality measures across four Priority Topics in Care of the Elderly. The endorsed indicators provide a framework to characterize practice- and population-level encounters of family physicians delivering care to older patients and will offer insights into the outcomes of their care provision. This study presented a case of soliciting expert feedback to develop measurable practice-based quality indicators that can be examined using administrative data to understand quality of care within population-based data holdings. Future work will refine and operationalize the technical definitions established through this process to examine primary care provision for older adults in a particular context (Ontario, Canada).
Accurate, patient-centred evaluation of physical function in patients with cancer can provide important information on the functional impacts experienced by patients both from the disease and its treatment. Increasingly, digital health technology is facilitating and providing new ways to measure symptoms and function. There is a need to characterise the longitudinal measurement characteristics of physical function assessments, including clinician-reported outcome, patient-reported ported outcome (PRO), performance outcome tests and wearable data, to inform regulatory and clinical decision-making in cancer clinical trials and oncology practice.
In this prospective study, we are enrolling 200 English-speaking and/or Spanish-speaking patients with breast cancer or lymphoma seen at Mayo Clinic or Yale University who will receive intravenous cytotoxic chemotherapy. Physical function assessments will be obtained longitudinally using multiple assessment modalities. Participants will be followed for 9 months using a patient-centred health data aggregating platform that consolidates study questionnaires, electronic health record data, and activity and sleep data from a wearable sensor. Data analysis will focus on understanding variability, sensitivity and meaningful changes across the included physical function assessments and evaluating their relationship to key clinical outcomes. Additionally, the feasibility of multimodal physical function data collection in real-world patients with breast cancer or lymphoma will be assessed, as will patient impressions of the usability and acceptability of the wearable sensor, data aggregation platform and PROs.
This study has received approval from IRBs at Mayo Clinic, Yale University and the US Food and Drug Administration. Results will be made available to participants, funders, the research community and the public.
Computer-based technologies have been widely used in nursing education, although the best educational modality to improve documentation and nursing diagnostic accuracy using electronic health records is still under investigation. It is important to address this gap and seek an effective way to address increased accuracy around nursing diagnoses identification. Nursing diagnoses are judgments that represent a synthesis of data collected by the nurse and used to guide interventions and to achieve desirable patients' outcomes. This current investigation is aimed at comparing the nursing diagnostic accuracy, satisfaction, and usability of a computerized system versus a traditional paper-based approach. A total of 66 nursing students solved three validated clinical scenarios using the NANDA-International terminologies traditional paper-based approach and then the computer-based Clinical Decision Support System. Study findings indicated a significantly higher nursing diagnostic accuracy (P
Coeliac disease (CD) is a common disorder and affects about 1% of the population worldwide. CD in the Trøndelag Health Study (HUNT) is a population-based cohort study which was established to provide new knowledge about CD that can improve the diagnostics and management, prevent the onset or progression and expand the knowledge about the role of genetics of the disease.
The cohort is based on the fourth wave of the population-based HUNT study (HUNT4), Norway, performed during 2017–2019, also including linkage to hospital records and the Norwegian Patient Registry (NPR). A total of 54 541 HUNT4 participants with available sera were screened for CD by serology. All seropositive participants were invited to a clinical assessment, including endoscopy with duodenal biopsies, during 2019–2023.
A total of 1107 HUNT4 participants (2%) were seropositive for CD and 1048 were eligible for clinical assessment, including biopsy. Of these, 724 participants attended the clinical assessment and 482 were identified with CD. In addition, 371 participants with CD were identified through the hospital records and NPR. In total, 853 participants in HUNT4 with biopsy-verified CD diagnosis were identified.
All participants in the study will be invited to a follow-up assessment after at least 1 year, including repeated standard serological testing, endoscopy and tissue sampling. The collected data and material will be used to establish the true population-based prevalence of CD. The consequences of CD, including symptoms, deficiencies and comorbidity, will be investigated and possible triggers and predictors, will be studied. With access to serum samples from the previous HUNT surveys in HUNT Biobank, serological signs of CD in prediagnostic samples of seropositive individuals will be used. Genetic studies will identify new CD markers, assess genotype–phenotype links and explore gene–environment correlations.
clinicaltrials.gov identifier: NCT04041622.
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