UNASSIGNED: Clinical practices that provide workers\' compensation care and other services related to managing work-related illnesses and injuries have long been challenged in receiving appropriate payment for their professional work. The American College of Occupational and Environmental Medicine (ACOEM) has provided excellent guidelines for coding and billing via its various documents that have been provided over the years. However, despite these guidelines, payors have been slow to adopt occupational specific coding guidelines to justify higher professional payment. With the move to a Centers for Medicare & Medicaid Services (CMS)-sponsored time-based coding option in 2011, the occupational and environmental medicine (OEM) clinics have been able to finally not only document but recoup the value of those services that go beyond the simple patient interface, being able to capture those activities that truly provide high value in the management of workers\' medical issues.

OBJECTIVE: To describe our methods to compare patient-reported symptoms of acute myeloid leukemia and the corresponding documentation by healthcare providers in the electronic health record.
BACKGROUND: Patients with acute myeloid leukemia experience many distressing symptoms, particularly related to chemotherapy. The timely recognition and provision of evidence-based interventions to manage these symptoms can improve outcomes. However, lack of standardized formatting for symptom documentation within electronic health records leads to challenges for clinicians when accessing and comprehending patients\' symptom information, as it primarily exists in narrative forms in various parts of the electronic health record. This variability raises concerns about over- or under-reporting of symptoms. Consistency between patient-reported symptoms and clinician\'s symptom documentation is important for patient-centered symptom management, but little is known about the degree of agreement between patient reports and their documentation. This is a detailed description of the study\'s methodology, procedures and design to determine how patient-reported symptoms are similar or different from symptoms documented in electronic health records by clinicians.
METHODS: Exploratory, descriptive study.
METHODS: Forty symptoms will be assessed as patient-reported outcomes using the modified version of the Memorial Symptom Assessment Scale. The research team will annotate symptoms from the electronic health record (clinical notes and flowsheets) corresponding to the 40 symptoms. The degree of agreement between patient reports and electronic health record documentation will be analyzed using positive and negative agreement, kappa statistics and McNemar\'s test.
CONCLUSIONS: We present innovative methods to comprehensively compare the symptoms reported by acute myeloid leukemia patients with all available electronic health record documentation, including clinical notes and flowsheets, providing insights into symptom reporting in clinical practice.
CONCLUSIONS: Findings from this study will provide foundational understanding and compelling evidence, suggesting the need for more thorough efforts to assess patients\' symptoms. Methods presented in this paper are applicable to other symptom-intensive diseases.

OBJECTIVE: To explore the relationship between the prescription and implementation of pressure injury preventative interventions following risk assessment combined with a risk-stratified intervention bundle.
METHODS: Single-centre, cross-sectional, observational, prospective.
METHODS: The charts and bedsides of 341 adult inpatients were examined. Data collection included pressure injury risk level, prescribed preventative interventions and evidence of intervention implementation.
RESULTS: Most patients (68.6%) were at risk of pressure injury, and most interventions were prescribed according to their risk level. However, evidence from direct observation and/or documentation indicated intervention implementation rates were relatively poor. Of nine interventions mandated for all patients, compliance with three patient-/carer-focused interventions was particularly poor, with evidence indicating they had been implemented for 3%-10% of patients. Also, nutritional screening-related interventions were implemented poorly. Clinically indicated implementation of heel-elevation devices and bariatric equipment was low for at-risk patients, and the implementation of interventions for patients with existing pressure injuries was suboptimal. Significant proportions of several interventions that were observed as having been implemented were not documented as such.
CONCLUSIONS: While most interventions were prescribed according to patient risk level, the overall implementation of interventions was poor. However, the results may in part be due to failure to document interventions as opposed to omitting them.
CONCLUSIONS: Documentation of interventions is crucial as it provides evidence of the care provided. An increased focus on documentation of pressure injury preventative interventions is required, with a clear distinction between prescription and implementation.
CONCLUSIONS: The results highlighted several deficiencies in care, particularly relating to evidence of implementation, patient involvement and nutritional screening. The results from this study will be used to inform and improve future pressure injury prevention practice within the study hospital and should be used to inform and benchmark pressure injury preventative practices in other hospitals.
UNASSIGNED: The study adheres to STROBE guidelines.
UNASSIGNED: None.

Peripheral intravenous catheters (PIVCs) are the most commonly used invasive devices in acute care hospitals, with nurses being primarily responsible for the insertion and care of these devices. This point prevalence study aimed to describe current PIVC status and nursing documentation in a large, regional health care system and to explore variables associated with PIVC complications. The study was conducted with adult inpatients. There were 665 PIVCs included in the study. Dressings were clean, dry, and intact in 83% of observations; only 2.7% did not have a transparent dressing. Thirty-one percent of PIVCs were inserted in areas of flexion. Median dwell time was 2.39 days (± 2.36 days), with upper arm sites having the longest dwell time. Overall inter-rater reliability (IRR) for an infiltration or phlebitis score of 0 was high (97.4% and 92%, respectively). However, overall agreement was only 77.16% for infiltration and 40.07% for phlebitis, with significant disagreement as scores increased. Study findings support that there was strong compliance with the Infusion Nurses Society\'s (INS) Infusion Therapy Standards of Practice vascular access practice recommendations; however, opportunities to improve infiltration/phlebitis assessment and documentation exist.

OBJECTIVE: To describe the associations between patient-to-nurse staffing ratios and rates of mortality, process of care events and vital sign documentation.
METHODS: Secondary analysis of data from the evaluating processes of care and outcomes of children in hospital (EPOCH) cluster-randomised trial.
METHODS: 22 hospitals caring for children in Canada, Europe and New Zealand.
METHODS: Eligible hospitalised patients were aged>37 weeks and <18 years.
METHODS: The primary outcome was all-cause hospital mortality. Secondary outcomes included five events reflecting the process of care, collected for all EPOCH patients; the frequency of documentation for each of eight vital signs on a random sample of patients; four measures describing nursing perceptions of care.
RESULTS: A total of 217 714 patient admissions accounting for 849 798 patient days over the course of the study were analysed. The overall mortality rate was 1.65/1000 patient discharges. The median (IQR) number of patients cared for by an individual nurse was 3.0 (2.8-3.6). Univariate Bayesian models estimating the rate ratio (RR) for the patient-to-nurse ratio and the probability that the RR was less than one found that a higher patient-to-nurse ratio was associated with fewer clinical deterioration events (RR=0.88, 95% credible interval (CrI) 0.77-1.03; P (RR<1)=95%) and late intensive care unit admissions (RR=0.76, 95% CrI 0.53-1.06; P (RR<1)=95%). In adjusted models, a higher patient-to-nurse ratio was associated with lower hospital mortality (OR=0.77, 95% CrI=0.57-1.00; P (OR<1)=98%). Nurses from hospitals with a higher patient-to-nurse ratio had lower ratings for their ability to influence care and reduced documentation of most individual vital signs and of the complete set of vital signs.
CONCLUSIONS: The data from this study challenge the assumption that lower patient-to-nurse ratios will improve the safety of paediatric care in contexts where ratios are low. The mechanism of these effects warrants further evaluation including factors, such as nursing skill mix, experience, education, work environment and physician staffing ratios.
BACKGROUND: EPOCH clinical trial registered on clinical trial.gov NCT01260831; post-results.

Purpose: Improvements in outcomes for adolescent and young adult (AYA) oncology patients have lagged behind those of other age-specific cancer populations. Research has indicated that low availability of clinical trials, biological differences of this age-group, and several psychosocial factors including higher emotional distress impact outcomes. To improve care and survival rates for these patients, hospitals have implemented AYA oncology programs. The current study evaluated documentation of care in an AYA program housed in an academic medical center based on three areas emphasized in the National Comprehensive Cancer Network\'s Clinical Practice Guidelines in Oncology for AYAs: clinical trial enrollment, fertility, and psychosocial care. Methods: Retrospective chart reviews were conducted for 45 patients treated before the start of the AYA oncology program and 45 patients treated after program initiation. Patients aged 15-39 years with a diagnosis of a malignant tumor were included. Variables evaluated included documentation of clinical trial enrollment, fertility preservation and sexual health considerations, and behavioral health referrals. Results: Documentation of most clinical trial and fertility variables did not significantly improve from pre- to post-program, although a higher number of patients had these variables documented post-program. Behavioral health referrals increased significantly from 52.8% pre-program to 95.4% post-program. Conclusion: Access to behavioral health care improved the most following implementation of our AYA program, which is likely because of the integration of a dedicated psychologist for AYAs when the program began. The practice of guideline-based care for this population can be better assessed and improved with designated behavioral health providers and more systematic documentation processes.

UNASSIGNED: Social needs screening can help modify care delivery to meet patient needs and address non-medical barriers to optimal health. However, there is a need to understand how factors that exist at multiple levels of the healthcare ecosystem influence the collection of these data in primary care settings.
UNASSIGNED: We conducted 20 semi-structured interviews involving healthcare providers and primary care clinic staff who represented 16 primary care practices. Interviews focused on barriers and facilitators to awareness of and assistance for patients\' social needs in primary care settings in Maryland. The interviews were coded to abstract themes highlighting barriers and facilitators to conducting social needs screening. The themes were organized through an inductive approach using the socio-ecological model delineating individual-, clinic-, and system-level barriers and facilitators to identifying and addressing patients\' social needs.
UNASSIGNED: We identified several individual barriers to awareness, including patient stigma about verbalizing social needs, provider frustration at eliciting needs they were unable to address, and provider unfamiliarity with community-based resources to address social needs. Clinic-level barriers to awareness included limited appointment times and connecting patients to appropriate community-based organizations. System-level barriers to awareness included navigating documentation challenges on the electronic health record.
UNASSIGNED: Overcoming barriers to effective screening for social needs in primary care requires not only practice- and provider-level process change but also an alignment of community resources and advocacy of policies to redistribute community assets to address social needs.

BACKGROUND: Racism and implicit bias underlie disparities in health care access, treatment, and outcomes. An emerging area of study in examining health disparities is the use of stigmatizing language in the electronic health record (EHR).
OBJECTIVE: We sought to summarize the existing literature related to stigmatizing language documented in the EHR. To this end, we conducted a scoping review to identify, describe, and evaluate the current body of literature related to stigmatizing language and clinician notes.
METHODS: We searched PubMed, Cumulative Index of Nursing and Allied Health Literature (CINAHL), and Embase databases in May 2022, and also conducted a hand search of IEEE to identify studies investigating stigmatizing language in clinical documentation. We included all studies published through April 2022. The results for each search were uploaded into EndNote X9 software, de-duplicated using the Bramer method, and then exported to Covidence software for title and abstract screening.
RESULTS: Studies (N = 9) used cross-sectional (n = 3), qualitative (n = 3), mixed methods (n = 2), and retrospective cohort (n = 1) designs. Stigmatizing language was defined via content analysis of clinical documentation (n = 4), literature review (n = 2), interviews with clinicians (n = 3) and patients (n = 1), expert panel consultation, and task force guidelines (n = 1). Natural language processing was used in four studies to identify and extract stigmatizing words from clinical notes. All of the studies reviewed concluded that negative clinician attitudes and the use of stigmatizing language in documentation could negatively impact patient perception of care or health outcomes.
CONCLUSIONS: The current literature indicates that NLP is an emerging approach to identifying stigmatizing language documented in the EHR. NLP-based solutions can be developed and integrated into routine documentation systems to screen for stigmatizing language and alert clinicians or their supervisors. Potential interventions resulting from this research could generate awareness about how implicit biases affect communication patterns and work to achieve equitable health care for diverse populations.

BACKGROUND: Community health worker (CHW) incentives and remuneration are core issues affecting the performance of CHWs and health programs. There is limited documentation on the implementation details of CHW financial compensation schemes used in sub-Saharan African countries, including their mechanisms of delivery and effectiveness. We aimed to document CHW financial compensation schemes and understand CHW, government, and other stakeholder perceptions of their effectiveness.
METHODS: A total of 68 semistructured interviews were conducted with a range of purposefully selected key informants in 7 countries: Benin, Burkina Faso, Ghana, Malawi, Mali, Niger, and Zambia. Thematic analysis of coded interview data was conducted, and relevant country documentation was reviewed, including any documents referenced by key informants, to provide contextual background for qualitative interpretation.
RESULTS: Key informants described compensation schemes as effective when payments are regular, distributions are consistent, and amounts are sufficient to support health worker performance and continuity of service delivery. CHW compensation schemes associated with an employed worker status and government payroll mechanisms were most often perceived as effective by stakeholders. Compensation schemes associated with a volunteer status were found to vary widely in their delivery mechanisms (e.g., cash or mobile phone distribution) and were perceived as less effective. Lessons learned in implementing CHW compensation schemes involved the need for government leadership, ministerial coordination, community engagement, partner harmonization, and realistic transitional financing plans.
CONCLUSIONS: Policymakers should consider these findings in designing compensation schemes for CHWs engaged in routine, continuous health service delivery within the context of their country\'s health service delivery model. Systematic documentation of the tasks and time commitment of volunteer status CHWs could support more recognition of their health system contributions and better determination of commensurate compensation as recommended by the 2018 World Health Organization Guidelines on Health Policy and System Support to Optimize Community Health Worker Programs.

BACKGROUND: Increased workload, including workload related to electronic health record (EHR) documentation, is reported as a main contributor to nurse burnout and adversely affects patient safety and nurse satisfaction. Traditional methods for workload analysis are either administrative measures (such as the nurse-patient ratio) that do not represent actual nursing care or are subjective and limited to snapshots of care (eg, time-motion studies). Observing care and testing workflow changes in real time can be obstructive to clinical care. An examination of EHR interactions using EHR audit logs could provide a scalable, unobtrusive way to quantify the nursing workload, at least to the extent that nursing work is represented in EHR documentation. EHR audit logs are extremely complex; however, simple analytical methods cannot discover complex temporal patterns, requiring use of state-of-the-art temporal data-mining approaches. To effectively use these approaches, it is necessary to structure the raw audit logs into a consistent and scalable logical data model that can be consumed by machine learning (ML) algorithms.
OBJECTIVE: We aimed to conceptualize a logical data model for nurse-EHR interactions that would support the future development of temporal ML models based on EHR audit log data.
METHODS: We conducted a preliminary review of EHR audit logs to understand the types of nursing-specific data captured. Using concepts derived from the literature and our previous experience studying temporal patterns in biomedical data, we formulated a logical data model that can describe nurse-EHR interactions, the nurse-intrinsic and situational characteristics that may influence those interactions, and outcomes of relevance to the nursing workload in a scalable and extensible manner.
RESULTS: We describe the data structure and concepts from EHR audit log data associated with nursing workload as a logical data model named RNteract. We conceptually demonstrate how using this logical data model could support temporal unsupervised ML and state-of-the-art artificial intelligence (AI) methods for predictive modeling.
CONCLUSIONS: The RNteract logical data model appears capable of supporting a variety of AI-based systems and should be generalizable to any type of EHR system or health care setting. Quantitatively identifying and analyzing temporal patterns of nurse-EHR interactions is foundational for developing interventions that support the nursing documentation workload and address nurse burnout.