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Assessing the impact, uptake and use of reporting guidelines for patient and public involvement in research: GRIPP2 - study protocol for a meta-research project

Por: Catala-Lopez · F. · Ganuza · E. · Alonso-Arroyo · A. · Perna · R. · Tricco · A. C. · Hutton · B. · Colin · C. · Tejedor-Romero · L. · Ridao · M. · Bautista-Puig · N. · Tabares-Seisdedos · R. · Aleixandre-Benavent · R. · Nafria-Escalera · B. · Staniszewska · S. · Moher · D.
Introduction

Patient and public involvement (PPI) in research is increasingly recognised for its potential to enhance feasibility, improve relevance and foster collaboration at different stages of a study. Reporting guidelines such as GRIPP2 (Guidance for Reporting Involvement of Patients and the Public) have been developed to help improve completeness and transparency in PPI reporting. This meta-research project aims to assess the impact of the GRIPP2 reporting guidelines through citation and alternative metrics, analysing its uptake or adoption across authors, institutions, journals and countries, as well as its practical application in reporting PPI within diverse research designs.

Methods and analysis

This protocol for a meta-research project consists of two studies. In Study 1, we will conduct a search across Web of Science, Scopus and Google Scholar to identify all publications citing the GRIPP2 guidelines (planned for July 2026 using forward citation analysis). Retrieved records will undergo standardised processing and structured de-duplication to ensure each citing article is represented once. Following de-duplication, data from unique citations—including title, publication year, journal, subject category, keywords, document type, citations, authors’ names, institutional affiliations, country and funding sources—will be collected. Citation counts, alternative metrics (eg, mentions in policy documents, news media) and knowledge production patterns across authors, institutions, journals and countries will be analysed to assess GRIPP2’s impact and uptake of the guidelines. Descriptive analyses will be conducted (including the number of papers, citations, authors, countries, journals, keywords, funding, field distribution and main collaboration metrics). Network analyses will be carried out to study the structure of collaborations. In Study 2, we will evaluate a random sample of 300 research articles citing GRIPP2, including randomised trials (n=100), systematic reviews with meta-analyses (n=100) and health economic evaluations (n=100). If an insufficient number of citing studies are available within these categories, we will include additional study types identified in Study 1 (eg, study protocols, observational studies, mixed-methods or qualitative research studies and other types of reviews). Reporting and PPI practices in each article will be extracted by at least two researchers using a standardised data extraction form. Information on general, methodological and PPI items will be analysed and reported, stratified by study design (eg, randomised trials vs systematic reviews vs health economic evaluations).

Ethics and dissemination

Due to the nature of the proposed study, no ethical approval will be required. All data will be deposited in a cross-disciplinary public repository. It is anticipated the study findings could be relevant to a variety of audiences. Study findings will be disseminated at scientific conferences and published in peer-reviewed journals.

Trial registration number

Open Science Framework: https://osf.io/et85d

Beyond Autonomy? Understanding Patient Participation in Contemporary Nursing Care: A Focused Ethnography of Chronic Illness Contexts

ABSTRACT

Aim

To explore how chronically ill patients, family members and nurses perceive and experience patient participation in nursing care within a Chinese hospital context.

Design

Focused ethnography.

Methods

The study was conducted in a Chinese public hospital over 8 months between February and September 2021. Data were generated through 90 h of participant observation and 30 semi-structured interviews, including individual and dyadic interviews with 10 nurses, 17 patients and 7 family members. Data were analysed using reflexive thematic analysis through an inductive and iterative process.

Results

An overarching theme ‘participation as relational, holistic and dynamic’ was developed, comprising three themes: (1) participation as fulfilling individual responsibility, (2) family members as co-participants and (3) participation as an evolving multidimensional practice. These themes suggest that participation was understood as a relational responsibility enacted through everyday interactions. Family members were actively involved in care processes, and participation extended across physical, intellectual and emotional dimensions. Digital information and technologies further reshaped participation, creating new opportunities and tensions in everyday care.

Conclusion

Patient participation in nursing care extends beyond autonomy-based models and is shaped by relational responsibilities, family involvement and evolving digital healthcare contexts.

Implications for the Profession and/or Patient Care

To promote patient participation, policies and practices should recognise relational and family-based dimensions of care. Healthcare organisations should foster environments that support collaborative participation among patients, families and nurses. Training and education should be developed to promote nurses' digital literacy, cultural competence, ethical sensitivity and relational communication to support participation in contemporary care contexts.

Impact

This study broadens prevailing autonomy-centred understandings of patient participation by demonstrating how participation is co-constructed through relational responsibilities and family involvement. The findings offer insights for nursing practice and policy in culturally diverse and increasingly digital healthcare environments.

Reporting Methods

COREQ.

Patient or Public Contribution

No Patient or Public Contribution.

Prevalence and Determinants of Workplace Violence Against Nurses in the Italian Home Care Settings: A Cross‐Sectional Multicentre Study

ABSTRACT

Aims

To describe the prevalence and determinants of workplace violence against nurses in the Italian home care setting.

Design

Secondary cross-sectional analysis of data from the multicentre study AIDOMUS-IT.

Methods

Nurses employed in home care services provided by Italian Local Health Authorities were interviewed using a variety of instruments. A multivariable binary logistic regression model was performed to model the risk of workplace violence against nurses in the last 12 months. Variables related to violence were selected among sociodemographic characteristics (such as age and gender), work-related factors (including years of experience, team composition, overtime working, previous experience in mental health care, burnout) and organisational elements (including leadership and support, workload, staffing and resources adequacy, and time to reach the patients' homes). Adjusted odds ratios (aOR) were used to present the results.

Results

A total of 3949 nurses participated in the study and 20.49% of them reported to have experienced an episode of violence in the last 12 months. Determinants of higher risk of violence episodes were younger age (aOR = 1.02, p = 0.002), higher workload (aOR = 1.01, p = 0.002), working in a multiprofessional team (aOR = 1.24, p = 0.018), perception of inadequate managerial leadership and support (aOR = 1.38, p = 0.003), and higher burnout levels (aOR = 1.01, p < 0.001).

Conclusion

The prevalence of workplace violence against Italian home care nurses is high. Several modifiable determinants were found to be associated with a higher risk of violence, which can potentially be mitigated with tailored interventions.

Implications for the Profession and/or Patient Care

Effective preventive strategies must be developed to lessen workplace violence against nurses in the home care setting. These strategies should focus on strengthening nursing managers' leadership and support skills, enhancing team-building strategies, avoiding inadequate workload, monitoring nurses' burnout, estimating optimum staffing levels, and assigning advanced-career nurses to home care services. These measures are imperative to guarantee the quality and safety of home care organisations and to attain favourable outcomes in the provision of care.

Impact

This study aimed to explore the prevalence and determinants of workplace violence against nurses in the Italian home care settings. We found that out of the 3949 nurses surveyed, 20% of the sample reported one episode of violence during the last 12 months. Determinants of this violence included younger age, higher workload and burnout, being in a multiprofessional team, and perception of lack of leadership and support by the nurse manager. The results of this study can be used to tailor interventions aimed at mitigating the risk factors of violence, particularly those that can be modified (e.g., workload, burnout, and leadership).

Reporting Method

The study adhered to the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines.

Patient or Public Contribution

No patient or public contribution.

Factors Influencing Intention to Leave Among Nurse Managers: A Cross‐Sectional Study

ABSTRACT

Aims

To estimate the proportion of Italian nurse managers (NMs) intending to leave (ITL) their positions and to identify associated socio-demographic, job-related, and psychosocial factors.

Design

Cross-sectional study.

Methods

Between September and November 2023, 464 NMs from 19 public hospitals completed a case-report form and the short version of the Copenhagen Psychosocial Questionnaire II (COPSOQ II). Latent Class Analysis (LCA) identified ITL profiles, and multiple logistic regression assessed factors associated with ITL.

Results

284 NMs (61.2%; 95% CI 57–66) reported an intention to leave within 12 months. LCA identified two classes: (1) Low-ITL (54%)—mainly outpatient NMs from Central regions with strong relationships with management, good support, work–life balance, and autonomy (55.9% probability of being unlikely to leave). (2) High-ITL (46%)—mainly surgical or critical-care NMs, often from Northern regions, marked by poor management relations, low support and high work–family conflict (80.9% probability of being likely to leave). Multiple regression confirmed that stronger management relations reduced ITL (OR 0.60, 95% CI 0.46–0.79) whereas high job demands and work–health conflict increased it (OR 1.56, 95% CI 1.19–2.04). Northern location also predicted higher ITL (OR 1.58, 95% CI 1.03–2.44). Demographics, education, and clinical setting were not significantly associated.

Linking Evidence to Action

These findings suggest that healthcare organizations should prioritize managerial and organizational strategies targeting modifiable work-related factors to reduce nurse managers' intention to leave. Interventions aimed at improving organizational support, work environment, and job satisfaction may contribute to workforce retention at the managerial level. Future research should evaluate the effectiveness of targeted organizational interventions in sustaining nurse manager retention.

Cardiovascular Prevention and Rehabilitation for Ischaemic Non‐Obstructive Coronary Artery Disease: Implementation Considerations From a Survey of UK Health Professionals

ABSTRACT

Aims

Investigate if UK healthcare professionals have the resources and knowledge to provide cardiovascular prevention and rehabilitation to people with ischaemic non-obstructive coronary artery disease (INOCA), and explore what type of care healthcare professionals believe patients should receive.

Design

Electronic cross-sectional survey of UK healthcare professionals, circulated between 7 January and 7 March 2022.

Methods

Quantitative data were analysed descriptively. Qualitative data were analysed inductively.

Results

Healthcare professionals lacked knowledge and capacity to care for this patient group. Healthcare professionals recommended patients receive two unsupervised sessions per week, for 8 weeks, at home and in person. Recommend include physical activity advice/exercise training, health behaviour support, psychological support, smoking cessation, dietetics/nutritional support, weight management, counselling and medication titration.

Conclusion

In the UK, healthcare professionals lack resources and knowledge to provide cardiovascular presentation and rehabilitation to people with INOCA. Recommended care reflected care currently available to other patient groups.

Implications for the Profession

There is a need to create and evaluate educational material for healthcare professionals.

Impact

Before people with INOCA are offered cardiovascular prevention and rehabilitation it was necessary to determine if healthcare professionals had sufficient clinical knowledge and resources to provide care. We conclude that additional training and resources are required to enable health professionals to deliver care to people with INOCA.

Researchers should create and evaluate educational material for cardiovascular prevention and rehabilitation programmes. Programmes also require additional resources to deliver care to this group.

Reporting Method

Reporting adheres to the Cherries guidelines.

Patient or Public Contribution

A patient (SB) was consulted on study design, data collection, and interpretation, and manuscript preparation.

Home Care Organisational Models in Italy: A Cross‐Sectional Study of Cluster Analysis and Stakeholder Perceptions

ABSTRACT

Aim

To classify Italian home care models based on structural characteristics, process factors and stakeholder perceptions.

Design

This is a secondary analysis of the AIDOMUS-IT multicentre cross-sectional study, conducted in Italy between July 2022 and December 2023.

Methods

Data were collected via online surveys completed by 33 Local Health Authority Nursing Directors, home care nurses and patients. Hierarchical cluster analysis was used to classify different organisational models based on structural and process-related factors. Nurses' and patients' perceptions of care were described for each identified cluster.

Results

The analysis identified three distinct organisational home care models: The ‘multidisciplinary model’, in which nurses reported high dissatisfaction due to organisational complexity and excessive workloads. In the ‘nurse-centred model’, characterised by publicly employed nurses, strong leadership, and a supportive work environment, patients reported high levels of satisfaction. The ‘performance-based model’, which operated with a lower nurse-to-patient ratio, reduced service hours, and greater reliance on external professionals. Nurses in this model reported high job satisfaction but also a greater intention to leave, while patient satisfaction was lower.

Conclusions

This study underscores the importance of leadership, resource management, and a supportive work environment in influencing both job satisfaction and patient outcomes in home care settings.

Implications for the Profession and/or Patients Care

Policymakers could use these findings to refine care models and improve service delivery.

Impact

Limited research has examined the organisational structures of home care services, which are important for professionals' organisational well-being, patient safety, and quality of care. This study identified three distinct organisational home care models that could be used to refine care approaches and improve service delivery.

Reporting Method

This study respects the EQUATOR guideline for observational studies (STROBE).

Patient or Public Contribution

This study did not include patient or public involvement in its design, conduct, or reporting.

Measuring Advanced Practice in Health Visiting: Development and Psychometric Testing of the Health Visiting Advanced Practice Scale in Public Health Nursing

ABSTRACT

Background

The debate about whether health visiting, a specialist community public health nursing role, is at the level of advanced practice nurse has gone on for more than a decade. There is little empirical evidence that the role matches the traditional role of an advanced practice nurse, although many of the attributes of advanced practice nursing such as prescribing rights, managing complex cases, caseloads with undifferentiated need and advanced assessment and decision-making are certainly present.

Aim

The current study aimed to develop, refine and test the Health Visiting Advanced Practice Scale to assess the scope of advanced practice of UK health visitors.

Design

A cross-sectional and methodological scale validation design, following classical test theory.

Methods

The design consisted of three phases; the first involved scale development including item generation, phase two assessed the content validity index, and the third phase involved a cross-sectional survey to establish construct validity, content validity, and internal consistency reliability, and conduct exploratory and confirmatory factor analysis.

Results

The initial 44-item scale underwent iterative exploratory and confirmatory factor analyses, leading to a refined 5-factor structure with 29 items covering domains such as family-centred care, leadership, prescribing, diagnostic reasoning, and professional practice. This final version demonstrated strong reliability and construct validity in the EFA but mixed fit indices in the CFA, supporting both internal consistency and validity of the scale.

Conclusion

The final scale offers a rigorously validated tool for assessing advanced practice among UK health visitors, capturing core domains such as family-centred care, leadership, prescribing, and diagnostic reasoning. By bridging theoretical frameworks with real-world practice, it fills a critical gap in evaluating and supporting the professional scope of this public health nursing specialty.

Impact

These findings provide valid and reliable insights for measuring and improving health visitors' advanced practice and developing future professional policies.

Patient or Public Contribution

No patient or public contribution.

Reporting Method

STROBE (Strengthening the Reporting of Observational Studies in Epidemiology) guidelines for cross-sectional studies.

A live cell biosensor protocol for high-resolution screening of therapy-resistant cancer cells

by Viral D. Oza, Colin S. Williams, Jessica S. Blackburn

The Genetically Encoded Death Indicator (GEDI) is a ratiometric, dual-fluorescence biosensor that enables real-time detection of cell death through calcium influx. Originally developed for use in neurodegeneration models, GEDI can be applied to cancer cells to quantify therapy-induced death at single-cell resolution. This protocol details how to generate GEDI-expressing cancer cell lines, empirically determine stress-induced GEDI thresholds using radiation or chemotherapeutic agents, and perform time-resolved imaging and image analysis to track cell fate. This workflow is optimized for high-throughput drug and radiation screening in heterogeneous populations and is especially useful for identifying chemo- and radio-resistant subclones. Key limitations include the need for empirical GEDI threshold calibration for each treatment condition and careful standardization of imaging parameters. The protocol outputs include GEDI ratio values, single-cell time-of-death annotations, and whole-cell morphological data in parallel, which can be linked to downstream applications such as FACS-based isolation of live or dying subpopulations, transcriptomic profiling of resistant clones, or in vivo validation using xenografts or organotypic slice culture.

Thriving in Nursing Work: The Association Between Self‐Reports and Biomarkers of Stress, Inflammation and Neuroplasticity

ABSTRACT

Aim

To examine whether self-reported thriving at work is associated with biomarkers of stress, inflammation, neuroplasticity and neurodegeneration in nurses.

Design

A cross-sectional study.

Methods

An online questionnaire measuring thriving at work was administered to nurses in a teaching hospital in Michigan, U.S. over 5 weeks in 2024. A subsample of 100 questionnaire respondents provided blood samples for biomarker analysis. Multiple regression was used to identify self-reported and biomarker predictors of nurse thriving. Cluster analysis was used to distinguish between nurses with high and low levels of thriving based on a combination of self-report and biomarker data.

Results

Higher self-reports of individual and work-related resources predicted higher thriving. Cortisol, a stress hormone, was significantly and inversely associated with thriving. No blood-based biomarkers of inflammation or neuroplasticity predicted thriving. Neurofilament light chain, a marker of neurodegeneration, was not a direct predictor but modified the effects of interpersonal and work resources on thriving.

Conclusion

Biological markers do play a role in nurses' thriving at work and may contribute important complementary information to that provided by nurse self-reports.

Implications for the Profession and/or Patient Care

Nurses thrive in a work situation characterised by positive reports of individual, interpersonal and work resources and lower levels of stress. Efforts to enhance thriving could positively impact nurses' well-being and conditions for providing high-quality patient care.

Impact

This study addressed the question of whether self-reported thriving at work among nurses is reflected in biomarkers of stress, inflammation, and neurocognitive health. A profile of high self-reported work-related resources and low cortisol distinguished higher levels of nurses' thriving from lower levels. Organisational efforts to enhance nurses' thriving can positively impact nurses' health, their work environment, and patient care.

Reporting Method

We followed the STROBE checklist in reporting this study.

Patient or Public Contribution

No Patient or public contribution.

Parenterally administered pegbovigrastim alters leukocyte counts, granulocyte functions, and uterine cell population in healthy postpartum dairy cows

by Dinesh Dadarwal, Kira Crooks, Patricia Lainetti, Ryan Dickinson, Khawaja Ashfaque Ahmed, Colin Palmer

This study aimed to evaluate the effects of a single postpartum administration of pegbovigrastim, a recombinant bovine granulocyte colony-stimulating factor (rG-CSF), on peripheral leukocyte profiles, granulocyte function, and uterine cytology in healthy Holstein dairy cows. We hypothesized that rG-CSF would enhance leukocyte counts and granulocyte function without adversely affecting uterine immune cell composition. Twenty-three cows between 19–23 days in milk were randomly assigned to receive either rG-CSF (n = 12) or saline (n = 11). Blood samples were collected on the day of injection and on Days 3, 6, 10, and 21 post-treatment to assess total and differential leukocyte counts. Granulocyte phagocytosis of fluorescein isothiocyanate (FITC)-labeled Staphylococcus aureus and oxidative burst capacity following PMA stimulation were evaluated using flow cytometry. Vaginoscopy and transrectal ultrasound examinations were conducted at each time point, and uterine cytobrush samples were collected from a subset of cows for cytological analysis. Compared to controls, rG-CSF-treated cows exhibited a significant (2–3 fold) increase in total leukocytes and neutrophils (P P P = 0.04) and phagocytic activity as well as capacity (P = 0.01) that peaked on Days 3 and 6 post-treatment, respectively, following rG-CSF treatment. Furthermore, uterine samples from treated cows showed higher proportions of neutrophils (Days 6, 10, and 21) and macrophages (Day 10) compared to controls (P

Development and Psychometric Evaluation of the Thriving in Nursing Questionnaire (THINQ)

ABSTRACT

Aim

To develop and evaluate a questionnaire for measuring factors that contribute to thriving at work among nurses.

Design

A cross-sectional study.

Methods

An online questionnaire was administered in March 2024 to nurses in a community teaching hospital in Michigan, US. Questionnaire content was based on a literature search and was pilot tested among nursing professionals within the hospital system. Questionnaire factor structure was examined with exploratory and confirmatory factor analyses with split-half sample validation.

Results

Based on exploratory and confirmatory factor analysis, a three-factor solution presented the best model, with factors comprised of 15 items measuring individual resources (3 items), work resources (6 items) and interpersonal aspects of the nursing work environment (6 items). Reliability estimates for all three factors exceeded 0.80, indicating good internal homogeneity. The questionnaire also demonstrated acceptable split-half validity and reliability.

Conclusion

The questionnaire presented here provides a potentially useful tool for measuring and evaluating thriving at work among nurses.

Implications for the Profession and/or Patient Care

A better understanding of factors that enhance nurse thriving would lay the foundation for targeted interventions aimed at improving the nursing work environment and nurse well-being. Enhancing nurse thriving could have a potentially positive impact on patient care.

Impact

This study addressed the need to understand factors that contribute to thriving in nursing work. The questionnaire that was developed revealed a three-factor solution measuring individual nurse resources, work environment resources and work interpersonal resources. By measuring thriving among nurses, hospitals and other healthcare organisations are taking an important first step in identifying interventions to enhance the nursing work environment, nurse well-being and potentially the quality of patient care.

Reporting Method

We followed the STROBE checklist in reporting this study.

No patient or public contribution.

Profiling Healthcare Professionals' Digital Health Competence and Associated Factors: A Cross‐Sectional Study

ABSTRACT

Aim

To assess healthcare professionals' digital health competence and its associated factors.

Design

Cross-sectional study.

Methods

The study was conducted from October 2023 to April 2024 among healthcare professionals in Italy, using convenience and snowball sampling. The questionnaire included four sections assessing: (i) socio-demographic and work-related characteristics; (ii) use of digital solutions as part of work and in free time, and communication channels to counsel clients in work; and DigiHealthCom and DigiComInf instruments including measurements of (iii) digital health competence and (iv) managerial, organisational and collegiality factors. K-means cluster analysis was employed to identify clusters of digital health competence; descriptive statistics to summarise characteristics and ANOVA and Chi-square tests to assess cluster differences.

Results

Among 301 healthcare professionals, the majority were nurses (n = 287, 95.3%). Three clusters were identified: cluster 1 showing the lowest, cluster 2 moderate and cluster 3 the highest digital health competence. Most participants (n = 193, 64.1%) belonged to cluster 3. Despite their proficiency, clusters 2 and 3 scored significantly lower on ethical competence. Least digitally competent professionals had significantly higher work experience, while the most competent reported stronger support from management, organisation, and colleagues. Communication channels for counselling clients and digital device use, both at work and during free time, were predominantly traditional technologies.

Conclusion

Educational programmes and organisational policies prioritising digital health competence development are needed to advance digital transition and equity in the healthcare workforce.

Implications for the Profession

Greater emphasis should be placed on the ethical aspects, with interventions tailored to healthcare professionals' digital health competence. Training and policies involving managers and colleagues, such as mentoring and distributed leadership, could help bridge the digital divide. Alongside traditional devices, the adoption of advanced technologies should be promoted.

Reporting Method

This study adheres to the STROBE checklist.

Patient or Public Contribution

None.

Impact of Traumatic Stress on Nurses' Work Ability, Job Satisfaction, Turnover and Intention to Leave: A Cross‐Sectional Study

ABSTRACT

Aims

This study aimed to explore the direct and indirect effects of secondary traumatic stress (STS) on nurses' perceived work ability and the effect of these two variables on job satisfaction, organisational turnover intention and intention to leave the nursing profession.

Design

A cross-sectional study was conducted from June to November 2023.

Method

Data were collected by sending an online survey to a convenience sample of nurses. Instruments for data collection included a 37-item questionnaire divided into three sections: (i) socio-demographics, job satisfaction, organisational turnover intention, and intention to leave the profession; (ii) perceived work ability assessed through the Work Ability Index (WAI); (iii) STS measured with the Secondary Traumatic Stress Scale.

Results

Two hundred seventy-one nurses completed the questionnaire. STS negatively and statistically impacted on WAI, and it was a direct determinant of intention to leave the nursing profession. WAI showed a direct, positive and significant impact on job satisfaction and it was a significant partial mediator in the relationship between STS and job satisfaction. Job satisfaction mediated between WAI, the intention to leave the nursing profession, and the organisational turnover intention.

Conclusion

STS negatively impacted nurses' work ability, influencing their job satisfaction through the mediation of WAI, whereas job satisfaction independently affected nurses' organisational turnover intention. Moreover, STS was a positive and direct determinant of the intention to leave the nursing profession.

Impact

Nurses, as helping professionals, are exposed to extreme stressful events resulting from the traumatic experiences of patients. STS in nurses can lead to emotional exhaustion, turnover intention, job dissatisfaction and reduced work ability. The findings from this study offer insights that can help shape organisational health policies aimed at reducing STS, preserving nurses' work ability, enhancing job satisfaction and mitigating turnover intentions within and outside the nursing profession.

Reporting Method

This study followed the STROBE checklist guidelines for cross-sectional studies.

Patient or Public Contribution

No Patient or Public Contribution.

Patient Participation in Decision‐Making During Nursing Care: A Relational Autonomy Perspective

ABSTRACT

Aim

To explore patient participation in decision-making during nursing care experienced by patients with chronic diseases, family members and nurses.

Design

Focused ethnography.

Methods

This study included an 8-month fieldwork in a Chinese hospital. Fieldnotes from 90 h of participant observation and 30 semi-structured interviews (10 nurses, 13 patients, three family members, and four with both patients and family members present) were analysed using reflexive thematic analysis.

Results

Patient participation in decision-making was facilitated in the form of co-determination, which respected patients' relational autonomy. However, participation required further development or was challenged in the form of unilateral determination, constraining relational autonomy. Interpersonal relationships among nurses, patients and family members played a significant role in promoting patient participation in decision-making.

Conclusion

A relational autonomy framework was identified to understand patient participation in decision-making within nursing care. While patient participation is encouraged and autonomy is respected in some situations, paternalistic approaches still persist in clinical practice.

Implications for the Profession and/or Patient Care

Enhancing nurses' awareness of involving patients and family members in decision-making is needed. The findings highlight the need for better integration and implementation of existing guidelines to support healthcare staff, patients and family members. They also point to the importance of developing culturally relevant frameworks to promote patient participation in decision-making in nursing care.

Impact

This research provided insight into the experiences of chronically ill patients, family members and nurses regarding patient participation in decision-making during inpatient nursing care within a non-Western context. Interpersonal dynamics are highlighted as a key element influencing patient participation.

Reporting Methods

The study is reported using the COREQ checklist.

Patient or Public Contribution

No patient or public contribution.

Z-Coding for Social Contributors to Health in Colorado Federally Qualified Health Centers

imageBackground Federally Qualified Health Centers (FQHC) provide services to individuals facing systemic barriers to health equity and are disproportionately affected by adverse social determinants of health. To better align healthcare services with the needs of those individuals experiencing health inequities, it is essential to screen for and document problematic social contributors to health in electronic health records, which health systems have been mandated to document by 2026. Objectives The aims of this study were to 1) determine the prevalence of documented social contributors to health Z-codes among patients receiving care through Colorado nurse-led FQHCs across urban, rural, and frontier settings; and 2) estimate healthcare utilization and expenditures associated with the presence of documented social contributors to health Z-codes compared to a matched sample of patients without that Z-code documentation. Methods We conducted a secondary analysis of the Colorado All Payers Claim Database. Social contributor of health ICD-10 Z-codes, reflecting problematic social structural circumstances as defined by Healthy People 2030, were extracted from patients receiving care in FQHCs. Social contributor of health-related charges were computed using propensity matching to compare individuals with and without documented social contributors of health. Results Documentation of social contributors of health Z-codes was notably low. Housing instability was the most common Z-code documented. Chronic pulmonary disease, diabetes, and heart disease were the most prevalent comorbidities among those with identified social contributors of health. The majority of patients with social contributors of health Z-codes were insured through Medicaid and lived in rural areas. Persons with documented social contributors of health had significantly higher predicted annual medical expenditures compared to those without documentation. Discussion The low prevalence of social contributors of health coding aligns with previous studies and represents a missed opportunity to provide targeted interventions for populations experiencing adverse social contributors. These findings underscore the need for strategizing and implementing plans to identify and code social contributors of health, especially in facilities serving those experiencing health inequities. Improved documentation of social contributors to health can facilitate data-driven resource allocation and tailored interventions to address adverse social determinants and promote health equity.

Realist Approach to Qualitative Data Analysis

imageBackground A realist approach has gained popularity in evaluation research, particularly in understanding causal explanations of how a program works (or not), the circumstances, and the observed outcomes. In qualitative inquiry, the approach has contributed to better theoretically based explanations regarding causal interactions. Objective The aim of this study was to discuss how we conducted a realist-informed data analysis to explore the causal interactions within qualitative data. Methods We demonstrated a four-step realist approach of retroductive theorizing in qualitative data analysis using a concrete example from our empirical research rooted in the critical realism philosophical stance. These steps include (a) category identification, (b) elaboration of context-mechanism-outcome configuration, (c) demi-regularities identification, and (d) generative mechanism refinement. Results The four-step qualitative realist data analysis underpins the causal interactions of important factors and reveals the underlying mechanisms. The steps produce comprehensive causal explanations that can be used by related parties—especially when making complex decisions that may affect wide communities. Discussion The core process of realist data analysis is retroductive theorizing. The four-step qualitative realist data analysis facilitates this theorizing by allowing the researcher to identify (a) patterns, (b) fluctuation of patterns, (c) mechanisms from collected data, and (d) to confirm proposed mechanisms.
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