Understanding medication abortion ineligibility due to gestational age among a cohort of patients in Southern California.

OBJECTIVE: Medication abortion (MAB) is safe and effective up to 77 days gestation. Limited data are available on how often patients are ineligible for MAB due to advanced gestational age and how many of those ineligible go on to receive procedural abortion. STUDY DESIGN: Retrospective analysis of electronic health records from Planned Parenthood of the Pacific Southwest (PPPSW) from January - December 2021. PPPSW has four procedural abortion sites and 15 MAB-only clinics that offered appointments only if last menstrual period-based GA was ≤70 days or unknown. Patients >70 days gestation by intake ultrasound at a MAB-only clinic were referred to a procedural center. RESULTS: Of 11,684 patients presenting for MAB at MAB-only sites 2224 (19%) did not receive a MAB; 3.8% (N = 444) presented past 70 days gestation and were thus ineligible due to gestational age limits. Of those ineligible (N = 444), 234 (53%) measured between 71-77 days of gestation. Three quarters (75.7%) of those ineligible went on to receive a procedural abortion at PPPSW after a mean wait time of 10 days. In multivariable analysis, no demographic factors were associated with higher odds of receiving a procedural abortion. CONCLUSIONS: Presenting for MAB past a gestational age limit was uncommon, supporting safety of no-test MAB protocols. A quarter of people ineligible for MAB due to gestational age did not receive a procedural abortion at PPPSW. If MAB were offered up to 77 days, half of patients who were denied MAB due to gestational age could have received MAB, expanding patient access. IMPLICATIONS: Being ineligible for MAB due to advanced gestational age was uncommon. Increasing MAB gestational age limits from 70 days to 77 days could further improve abortion access.

Factors Associated with Costly Hospital Care among Patients with Dementia and Acute Respiratory Failure.

Rationale: Understanding contributors to costly and potentially burdensome care for patients with dementia is of interest to healthcare systems and may facilitate efforts to promote goal-concordant care. Objective: To identify risk factors, in particular whether an early goals-of-care discussion (GOCD) took place, for high-cost hospitalization among patients with dementia and acute respiratory failure. Methods: We conducted an electronic health record-based retrospective cohort study of 298 adults with dementia hospitalized with respiratory failure (receiving ⩾48 h of mechanical ventilation) within an academic healthcare system. We collected demographic and clinical characteristics, including clinical markers of advanced dementia (weight loss, pressure ulcers, hypernatremia, mobility limitations) and intensive care unit (ICU) service (medical, surgical, neurologic). We ascertained whether a GOCD was documented within 48 hours of ICU admission. We used logistic regression to identify patient characteristics associated with high-cost hospitalization measured using the hospital system accounting database and defined as total cost in the top third of the sample (⩾$145,000). We examined a path model that included hospital length of stay as a final mediator between exposure variables and high-cost hospitalization. Results: Patients in the sample had a median age of 71 (IQR, 62-79) years. Approximately half (49%) were admitted to a medical ICU, 29% to a surgical ICU, and 22% to a neurologic ICU. More than half (59%) had a clinical indicator of advanced dementia. A minority (31%) had a GOCD documented within 48 hours of ICU admission; those who did had a 50% lower risk of a high-cost hospitalization (risk ratio, 0.50; 95% confidence interval, 0.2-0.8). Older age, limited English proficiency, and nursing home residence were associated with a lower likelihood of high-cost hospitalization, whereas greater comorbidity burden and admission to a surgical or neurologic ICU compared with a medical ICU were associated with a higher likelihood of high-cost hospitalization. Conclusions: Early GOCDs for patients with dementia and respiratory failure may promote high-value care by ensuring aggressive and costly life support interventions are aligned with patients' goals. Future work should focus on increasing early palliative care delivery for patients with dementia and respiratory failure, in particular in surgical and neurologic ICU settings.

Sex-Based Utilization of Guideline Recommended Statin Therapy and Cardiovascular Disease Outcomes: A Primary Prevention Healthcare Network Registry.

Background: In the US, women have similar cardiovascular death rates than men. Less is known about sex differences in statin use for primary prevention and associated atherosclerotic cardiovascular disease (ASCVD) outcomes. Methods: Statin prescriptions using electronic health records were examined in patients without ASCVD (myocardial infarction (MI), revascularization or ischemic stroke) between 2013-2019. Guideline-directed statin intensity (GDSI) at index and follow-up visits were compared among sexes across ASCVD risk groups, defined by pooled-cohort equation. Cox regression hazard ratios (HR) [95% CI] were calculated for statin use and outcomes (myocardial infarction, stroke/transient ischemic attack (TIA), and all-cause mortality) stratified by sex. Interaction terms (statin and sex) were applied. Results: Among 282,298 patients, (mean age ∼ 50 years) 17.1% women and 19.5% men were prescribed any statin at index visit. Time to GDSI was similar between sexes, but the proportion of high-risk women on GDSI at follow-ups was lower compared to high-risk men (2-years: 27.7 vs 32.0%, and 5-years: 47.2 vs 55.2%, p<0.05). When compared to GDSI, no statin use was associated with higher risk of MI and ischemic stroke/TIA amongst both sexes. High-risk women on GDSI had a lower risk of mortality (HR=1.39 [1.22-1.59]) versus men (HR=1.67 [1.50-1.86]) of similar risk (p value interaction=0.004). Conclusion: In a large contemporary healthcare system, there was underutilization of statins across both sexes in primary prevention. High-risk women were less likely to be initiated on GDSI compared with high-risk men. GDSI significantly improved the survival in both sexes regardless of ASCVD risk group. Future strategies to ensure continued use of GDSI, specifically among women, should be explored.

The validity of electronic health data for measuring smoking status: a systematic review and meta-analysis.

BACKGROUND: Smoking is a risk factor for many chronic diseases. Multiple smoking status ascertainment algorithms have been developed for population-based electronic health databases such as administrative databases and electronic medical records (EMRs). Evidence syntheses of algorithm validation studies have often focused on chronic diseases rather than risk factors. We conducted a systematic review and meta-analysis of smoking status ascertainment algorithms to describe the characteristics and validity of these algorithms. METHODS: The Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines were followed. We searched articles published from 1990 to 2022 in EMBASE, MEDLINE, Scopus, and Web of Science with key terms such as validity, administrative data, electronic health records, smoking, and tobacco use. The extracted information, including article characteristics, algorithm characteristics, and validity measures, was descriptively analyzed. Sources of heterogeneity in validity measures were estimated using a meta-regression model. Risk of bias (ROB) in the reviewed articles was assessed using the Quality Assessment of Diagnostic Accuracy Studies-2 tool. RESULTS: The initial search yielded 2086 articles; 57 were selected for review and 116 algorithms were identified. Almost three-quarters (71.6%) of algorithms were based on EMR data. The algorithms were primarily constructed using diagnosis codes for smoking-related conditions, although prescription medication codes for smoking treatments were also adopted. About half of the algorithms were developed using machine-learning models. The pooled estimates of positive predictive value, sensitivity, and specificity were 0.843, 0.672, and 0.918 respectively. Algorithm sensitivity and specificity were highly variable and ranged from 3 to 100% and 36 to 100%, respectively. Model-based algorithms had significantly greater sensitivity (p = 0.006) than rule-based algorithms. Algorithms for EMR data had higher sensitivity than algorithms for administrative data (p = 0.001). The ROB was low in most of the articles (76.3%) that underwent the assessment. CONCLUSIONS: Multiple algorithms using different data sources and methods have been proposed to ascertain smoking status in electronic health data. Many algorithms had low sensitivity and positive predictive value, but the data source influenced their validity. Algorithms based on machine-learning models for multiple linked data sources have improved validity.

Rabies post-exposure prophylaxis in the emergency department.

STUDY OBJECTIVES: Rabies is a zoonotic single-stranded RNA lyssavirus that can cause acute infections of the central nervous system (CNS) including encephalomyelitis, encephalitis, and meningoencephalitis that is progressively fatal. Rabies is more common in developing countries, but approximately 23,000 people in the United States (US) are estimated to have been exposed or to have received post exposure prophylaxis (PEP) yearly. Nebraska Medicine follows the Advisory Committee on Immunization Practices (ACIP) guidelines for the vaccination series, as well as the 20 units/kg administration of immunoglobulin (RIG). Nebraska Medicine Medical Center (NMC) and Bellevue Medical Center (BMC) treat the scheduling of the complete rabies vaccine series differently. At both campuses, patients receive their immunoglobulin and first vaccine in the Emergency Department (ED). At NMC, patients are scheduled to receive the remainder of their vaccination series at the outpatient infusion center by the ED pharmacist. At BMC, the subsequent vaccinations are given as "Nurse Only" return visits to the ED. The objective of this study was to compare patient compliance of two different processes for follow-up rabies vaccine series completion. This project's primary aim was to determine the rate of patient compliance for follow up rabies vaccine doses. The secondary aims of this project were to determine if there was a difference in patient follow-up compliance between the two campuses, patient specific factors that impact compliance, and potential cost savings if a dose rounding protocol for RIG was utilized. METHODS: This retrospective chart review was completed as a quality improvement project. Data from patients who had received either rabies immunoglobulin and/or a rabies vaccine, were >18 years of age, and were not admitted were collected for a 3-year period from July 1, 2019, to June 30, 2022. Data were abstracted from the patient's EMR (electronic medical records) using a SQL (Structured query language) query of pre-identified data elements. When unable to abstract with SQL query, data elements were manually abstracted. All data abstracted was collated and descriptive analysis performed. RESULTS: A total of 723 individual encounters were identified during the study period. After combining rabies series for each individual patient, 173 unique patients remained. After exclusions were applied, 143 patients were included: 104 patients from NMC, and 39 from BMC. For the primary outcome, appropriate completion between the two campuses was 78.3%. When comparing the two campuses, completion rates were higher at NMC (82% vs. 69%), although not statistically significant (p = 0.12). Appropriate completion of vaccine series was statistically significant for both payor and exposure type. Application of a dose rounding policy with those >45 kg, rounding to the nearest vial, as well as rounding down if at the midpoint interval, 56 fewer vials would have been used between the two campuses. This would have resulted in a potential cost savings of $57,928.64 over the study period.

Barriers to and Facilitators of Delabelling of Antimicrobial Allergies: A Qualitative Meta-synthesis.

Background: Patients who report penicillin allergies may receive alternative antibiotics. Such substitution contributes to antimicrobial resistance, lower treatment efficacy, increased frequency of adverse events, and increased costs. Approximately 90% of individuals who report a penicillin allergy can tolerate a penicillin. Objective: To identify the barriers to and facilitators of removal by health care workers of inaccurate antimicrobial allergies from patient records, known as delabelling. Data Sources: The MEDLINE database was searched from inception to December 29, 2020. Study Selection and Data Extraction: Qualitative studies evaluating health care professionals' perceptions of barriers to and/or facilitators of the act of delabelling a patient's antimicrobial allergies were included in the meta-synthesis. Data Synthesis: The Theoretical Domains Framework was used to code and group individual utterances from the included studies, which were mapped to the Behaviour Change Wheel and corresponding intervention function and policy categories. Results: Four studies met the inclusion criteria. Eight themes were identified as representing barriers to delabelling: delabelling skills, patient education skills, knowledge, electronic health records (EHRs), communication frameworks, time, fear about allergic reactions, and professional roles. Behaviour change interventions that may overcome these barriers include education, training, algorithms and toolkits, changes to EHRs, use of dedicated personnel, policies, incentivization of correct labelling, and an audit system. Conclusions: Eight themes were identified as barriers to delabelling of antimicrobial allergies. Future behaviour change interventions to address these barriers were proposed. Confidence in the findings of this study was judged to be moderate, according to the GRADE CERQual approach.

Contexte: Les patients qui signalent des allergies à la pénicilline peuvent recevoir d'autres antibiotiques. Une telle substitution contribue à la résistance aux antimicrobiens, à une moindre efficacité du traitement, à une fréquence accrue des événements indésirables et à une augmentation des coûts. Environ 90 % des personnes qui déclarent une allergie à la pénicilline peuvent la tolérer. Objectif: Identifier les obstacles à l'élimination par les travailleurs de la santé des allergies antimicrobiennes inexactes des dossiers des patients, ce que l'on appelle « le désétiquetage ¼, et les facteurs qui le favorisent. Sources des données: La base de données MEDLINE a été consultée depuis sa création jusqu'au 29 décembre 2020. Sélection de l'étude et extraction des données: Des études qualitatives évaluant les perceptions des professionnels de la santé quant aux obstacles à l'acte de désétiquetage des allergies aux antimicrobiens d'un patient et les facilitateurs de celui-ci ont été incluses dans la métasynthèse. Synthèse des données: Le cadre théorique des domaines a été utilisé pour coder et regrouper les énoncés individuels, qui ont ensuite été associés à la roue du changement de comportement ainsi qu'aux catégories de fonctions et de politiques d'intervention correspondantes. Résultats: Quatre études répondaient aux critères d'inclusion. Huit thèmes ont été identifiés comme représentant des obstacles au désétiquetage: les compétences en la matière, les compétences en matière d'éducation des patients, les connaissances, les dossiers de santé électroniques (DSE), les cadres de communication, le temps, la peur des réactions allergiques et les rôles professionnels. Les interventions visant le changement de comportement qui peuvent surmonter ces obstacles comprennent l'éducation, la formation, les algorithmes et les boîtes à outils de désétiquetage, la modification des DSE, le recours à du personnel dédié, des politiques, l'incitation à un étiquetage correct et un système d'audit. Conclusions: Huit thèmes ont été identifiés comme étant des obstacles au désétiquetage des allergies aux antimicrobiens. De futures interventions ciblant le changement de comportement pour les surmonter ont été proposées. La confiance dans les résultats de cette étude a été jugée modérée, selon l'approche GRADE CERQual.

Artificial intelligence predictive analytics in heart failure: results of the pilot phase of a pragmatic randomized clinical trial.

OBJECTIVES: We conducted an implementation planning process during the pilot phase of a pragmatic trial, which tests an intervention guided by artificial intelligence (AI) analytics sourced from noninvasive monitoring data in heart failure patients (LINK-HF2). MATERIALS AND METHODS: A mixed-method analysis was conducted at 2 pilot sites. Interviews were conducted with 12 of 27 enrolled patients and with 13 participating clinicians. iPARIHS constructs were used for interview construction to identify workflow, communication patterns, and clinician's beliefs. Interviews were transcribed and analyzed using inductive coding protocols to identify key themes. Behavioral response data from the AI-generated notifications were collected. RESULTS: Clinicians responded to notifications within 24 hours in 95% of instances, with 26.7% resulting in clinical action. Four implementation themes emerged: (1) High anticipatory expectations for reliable patient communications, reduced patient burden, and less proactive provider monitoring. (2) The AI notifications required a differential and tailored balance of trust and action advice related to role. (3) Clinic experience with other home-based programs influenced utilization. (4) Responding to notifications involved significant effort, including electronic health record (EHR) review, patient contact, and consultation with other clinicians. DISCUSSION: Clinician's use of AI data is a function of beliefs regarding the trustworthiness and usefulness of the data, the degree of autonomy in professional roles, and the cognitive effort involved. CONCLUSION: The implementation planning analysis guided development of strategies that addressed communication technology, patient education, and EHR integration to reduce clinician and patient burden in the subsequent main randomized phase of the trial. Our results provide important insights into the unique implications of implementing AI analytics into clinical workflow.

Stressful life events in electronic health records: a scoping review.

OBJECTIVES: Stressful life events, such as going through divorce, can have an important impact on human health. However, there are challenges in capturing these events in electronic health records (EHR). We conducted a scoping review aimed to answer 2 major questions: how stressful life events are documented in EHR and how they are utilized in research and clinical care. MATERIALS AND METHODS: Three online databases (EBSCOhost platform, PubMed, and Scopus) were searched to identify papers that included information on stressful life events in EHR; paper titles and abstracts were reviewed for relevance by 2 independent reviewers. RESULTS: Five hundred fifty-seven unique papers were retrieved, and of these 70 were eligible for data extraction. Most articles (n = 36, 51.4%) were focused on the statistical association between one or several stressful life events and health outcomes, followed by clinical utility (n = 15, 21.4%), extraction of events from free-text notes (n = 12, 17.1%), discussing privacy and other issues of storing life events (n = 5, 7.1%), and new EHR features related to life events (n = 4, 5.7%). The most frequently mentioned stressful life events in the publications were child abuse/neglect, arrest/legal issues, and divorce/relationship breakup. Almost half of the papers (n = 7, 46.7%) that analyzed clinical utility of stressful events were focused on decision support systems for child abuse, while others (n = 7, 46.7%) were discussing interventions related to social determinants of health in general. DISCUSSION AND CONCLUSIONS: Few citations are available on the prevalence and use of stressful life events in EHR reflecting challenges in screening and storing of stressful life events.

Preconception health risk factors documented in general practice electronic medical records.

BACKGROUND: Documenting medical and lifestyle preconception health risk factors in electronic medical records (EMRs) could assist general practitioners (GPs) to identify those reproductive-aged women who could most benefit from preconception care (PCC). However, it is unclear to what extent PCC risk factors are identifiable in general practice records. This study aimed to determine the extent to which medical and lifestyle preconception health risk factors are documented in general practice EMRs. METHODS: We conducted an audit of the documentation of medical and lifestyle preconception risk factors in 10 general practice EMRs in Melbourne, Australia. We retrospectively analysed the EMRs of 100 consecutive women aged 18-44 years who visited each practice between January and September 2022. Using a template informed by PCC guidelines, we extracted data from structured fields in the EMR and conducted a descriptive analysis. RESULTS: Among the data extracted, the more commonly documented medical and lifestyle preconception health risk factors in the EMRs included smoking (79%), blood pressure (74%), alcohol consumption (63%) and body mass index (57%). Among the women audited, 14% were smokers, 24% were obese, 7% had high blood pressure, 5% had diabetes, 28% had a mental health condition, 13% had asthma, 6% had thyroid disease and 17% had been prescribed and could be using a potentially teratogenic medication. CONCLUSIONS: Better documentation of medical and lifestyle preconception health risk factors in structured fields in EMRs may potentially assist primary care providers including GPs in identifying and providing PCC to women who could most benefit from it.

Understanding patients' experiences during transitions from one electronic health record to another: A scoping review.

Objectives: Identify existing research on impacts of transitions between electronic health record (EHR) systems on patients' healthcare experiences. Methods: Scoping review. We searched MedLine, OVID, Embase, CINAHL, and PsycInfo databases for articles on patient experiences with EHR-to-EHR transitions. Results: Three studies met inclusion criteria. All three used validated surveys to compare patient satisfaction with care pre- and post-transition. The surveys did not include specific questions about the EHR transition; one study focused on patient perceptions of provider computer use. Satisfaction levels initially decreased following EHR implementation, then returned to baseline between six and 15 months later in two of three studies. Factors associated with changes in observed satisfaction are unknown. Conclusions: Patient experience has been given limited attention in studies of EHR-to-EHR transitions. Future research should look beyond satisfaction, and examine how an EHR-to-EHR transition can impact the quality of patients' care, including safety, effectiveness, timeliness, efficiency, and equity. Innovation: To our knowledge, this is the first literature review on EHR transitions that specifically focused on patient experiences. In preparation for a transition from one EHR to another, healthcare system leaders should consider the multiple ways patients' experiences with care may be impacted and develop strategies to minimize disruptions in care.

Semaglutide 2.4 mg clinical outcomes in patients with obesity or overweight in a real-world setting: A 6-month retrospective study in the United States (SCOPE).

Background: Management guidelines for obesity suggest maintaining a minimum of 5% body weight reduction to help prevent or lower the risk of developing conditions such as hypertension and type 2 diabetes. However, achieving long-term weight control is difficult with lifestyle modification alone, making it essential to combine pharmacotherapy with diet and exercise in individual cases. Semaglutide 2.4 mg has demonstrated significant reductions in body weight and cardiometabolic risk factors in clinical trials, but information on outcomes in a real-world setting is limited. Objective: To assess changes in body weight and other clinical outcomes at 6-month follow-up among adults on semaglutide 2.4 mg in a real-world setting in the United States (US). Methods: Observational and retrospective cohort study of patients initiating treatment between 15 June 2021, and 31 March 2022, using a large US claims-linked electronic health record database. Results: Mean (±SD) body mass index (BMI) of the 343 patients included in the analysis was 37.9 ± 5.5 kg/m2. After 6 months, mean body weight change was -10.5 ± 6.8 kg (95% CI: -11.2; -9.8, p < 0.001) and mean percentage body weight change was -10.0% ± 6.6% (95% CI: -10.7; -9.3, p < 0.001). Most (79.0%) patients had ≥5% body weight reduction, 48.1% had ≥10% body weight reduction, and 19.0% had ≥15% body weight reduction. Among patients with available data, the mean change in HbA1c (n = 30) was -0.6% ± 1.2% (95% CI: -1.0; -0.1, p = 0.016) and nearly two-thirds of patients with prediabetes or diabetes at baseline reverted to normoglycemia. Mean reductions of -4.4 ± 12.3 mmHg (95% CI: -5.7; -3.0, p < 0.001) and -1.7 ± 8.4 mmHg (95% CI: -2.6; -0.7, p < 0.001) were observed in systolic and diastolic blood pressure, respectively (n = 307). Statistically significant reductions in mean total cholesterol (-12.2 ± 38.8 mg/dl [95% CI: -24.3 to -0.06, p < 0.049]) and triglycerides (-18.3 ± 43.6 mg/dl [95% CI: -4.7; -31.9, p < 0.009]) were also observed (n = 42). Conclusions: This study demonstrated the effectiveness of semaglutide 2.4 mg in reducing body weight and improving cardiometabolic parameters in adults with overweight or obesity in a real-world clinical practice setting, showing a significant mean body weight reduction and improvements in biomarkers like blood pressure and HbA1c over a 6-month period. These findings, aligning with previous clinical trials at comparable time points, highlight the clinical relevance of semaglutide as an effective therapeutic option for obesity.

Evaluation of KIDs List Compliance at a Children's Hospital Within a Large Academic Medical Center.

OBJECTIVES: In 2020, a list of Key Potentially Inappropriate Drugs in Pediatrics, known as the "KIDs List," was published. The objective of this analysis was to evaluate institutional compliance with the -recommendations in this publication and identify areas for improvement. METHODS: Medications in the KIDs List were compared to the institutional formulary at a large academic medical center caring for pediatric and adult patients. Medications listed in the formulary were then -evaluated for order comments and restrictions related to their use in pediatric patients. Oral liquid products and a group of commonly used intravenous (IV) medications were reviewed for potentially inappropriate excipients through available manufacturer information. The pediatric clinical specialists were then solicited to review and make recommendations for medications that had not been addressed. RESULTS: Of the 67 medications or classes listed in the KIDs List, 47 (70.1%) of the medications are listed in our formulary and available for use. Of these 47 medications, 4 (8.5%) included warnings related to their use in pediatric patients. Of the 270 oral liquid medications reviewed, 206 (76.3%) contained at least 1 -potentially inappropriate excipient. Of the 20 commonly used IV medications, 3 (15%) contained at least 1 potentially inappropriate excipient. CONCLUSIONS: This review found that many medications listed in the KIDs List are included in our -institution's formulary and that few have warnings for pediatric patients built into the institutional electronic health record. Further review of medications in the formulary will be conducted to determine the next steps to implementing KIDs List recommendations.

Development of a Discharge Counseling and Medication Reconciliation Process for Pediatric Patients Within a Large, Academic Health System.

OBJECTIVE: This study aims to characterize the impact of a pharmacist-driven discharge medication reconciliation and counseling program targeting high-risk pediatric patients to mitigate barriers in transitions of care. METHODS: This was a single-center quality improvement initiative including high-risk pediatric patients within a large academic medical center. Pharmacy, medical, and information technology team members developed a scoring system to identify patients at high risk of hospital readmission that resulted in a trigger tool built within the electronic medical record (EMR). Pharmacy workflow, the EMR documentation, and staff training were implemented. The primary end point was the number of high-risk patients with complete medication reconciliation and/or discharge counseling performed during the first 2 months after implementation. The secondary end points included quantification and qualification of the interventions conducted by a pharmacist. RESULTS: Pediatric clinical pharmacists conducted discharge medication reconciliation and/or counseling for 60 patients during the first 2 months after implementation. There were 65 interventions performed, including 60 discharge medication reconciliations and 5 discharge counseling sessions. Of these interventions, 22 were recommendations on appropriate medication dosing and frequency (37%), 12 on duration of therapy (20%), and 8 were medication additions (13%). There were 6 interventions on adherence assistance (10%), 6 involved selection of medication formulation (10%), 3 involved medication discontinuation (5%), 2 involved appropriate therapy selection (3%), and 1 involved medication stability (1%). All interventions were accepted and implemented by the prescribing providers. CONCLUSIONS: Pharmacist-driven discharge medication reconciliation and counseling programs targeting pediatric high-risk population might be an effective tool to mitigate gaps in transitions of care.

Implementation of chronic kidney disease guidelines for sodium-glucose co-transporter-2 inhibitor use in primary care in the UK: a cross-sectional study.

Background: The cardiovascular and kidney benefits of sodium-glucose co-transporter-2 (SGLT2) inhibitors in people with chronic kidney disease (CKD) are well established. The implementation of updated SGLT2 inhibitor guidelines and prescribing in the real-world CKD population remains largely unknown. Methods: A cross-sectional study of adults with CKD registered with UK primary care practices in the Oxford-Royal College of General Practitioners Research and Surveillance Centre network on the 31st December 2022 was undertaken. Pseudonymised data from electronic health records held securely within the Oxford-Royal College of General Practitioners Clinical Informatics Digital Hub (ORCHID) were extracted. An update to a previously described ontological approach was used to identify the study population, using a combination of Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT) indicating a diagnosis of CKD and laboratory confirmed CKD based on Kidney Disease: Improving Global Outcomes (KDIGO) diagnostic criteria. We examined the extent to which SGLT2 inhibitor guidelines apply to and are then implemented in adults with CKD. A logistic regression model was used to identify factors associated with SGLT2 inhibitor prescribing, reported as odds ratios (ORs) with 95% confidence intervals (CI). The four guidelines under investigation were the United Kingdom Kidney Association (UKKA) Clinical Practice Guideline SGLT2 Inhibition in Adults with Kidney Disease (October 2021), American Diabetes Association (ADA) and KDIGO Consensus Report on Diabetes Management in CKD (October 2022), National Institute for Health and Care Excellence (NICE) Guideline Type 2 Diabetes in Adults: Management (June 2022), and NICE Technology Appraisal Dapagliflozin for Treating CKD (March 2022). Findings: Of 6,670,829 adults, we identified 516,491 (7.7%) with CKD, including 32.8% (n = 169,443) who had co-existing type 2 diabetes (T2D). 26.8% (n = 138,183) of the overall CKD population had a guideline directed indication for SGLT2 inhibitor treatment. A higher proportion of people with CKD and co-existing T2D were indicated for treatment, compared to those without T2D (62.8% [n = 106,468] vs. 9.1% [n = 31,715]). SGLT2 inhibitors were prescribed to 17.0% (n = 23,466) of those with an indication for treatment, and prescriptions were predominantly in those with co-existing T2D; 22.0% (n = 23,464) in those with T2D, and <0.1% (n = 2) in those without T2D. In adjusted multivariable analysis of people with CKD and T2D, females (OR 0.69, 95% CI 0.67-0.72, p <0.0001), individuals of Black ethnicity (OR 0.84, 95% CI 0.77-0.91, p <0.0001) and those of lower socio-economic status (OR 0.72, 95% CI 0.68-0.76, p <0.0001) were less likely to be prescribed an SGLT2 inhibitor. Those with an estimated glomerular filtration rate (eGFR) <60 mL/min/1.73 m2 had a lower likelihood of receiving an SGLT2 inhibitor, compared to those with an eGFR ≥60 mL/min/1.73 m2 (eGFR 45-60 mL/min/1.73 m2 OR 0.65, 95% CI 0.62-0.68, p <0.0001, eGFR 30-45 mL/min/1.73 m2 OR 0.73, 95% CI 0.69-0.78, p <0.0001, eGFR 15-30 mL/min/1.73 m2 OR 0.52, 95% CI 0.46-0.60, p <0.0001, eGFR <15 mL/min/1.73 m2 OR 0.03, 95% CI 0.00-0.23, p = 0.0037, respectively). Those with albuminuria (urine albumin-to-creatinine ratio 3-30 mg/mmol) were less likely to be prescribed an SGLT2 inhibitor, compared to those without albuminuria (OR 0.78, 95% CI 0.75-0.82, p <0.0001). Interpretation: SGLT2 inhibitor guidelines in CKD have not yet been successfully implemented into clinical practice, most notably in those without co-existing T2D. Individuals at higher risk of adverse outcomes are paradoxically less likely to receive SGLT2 inhibitor treatment. The timeframe between the publication of guidelines and data extraction may have been too short to observe changes in clinical practice. Enhanced efforts to embed SGLT2 inhibitors equitably into routine care for people with CKD are urgently needed, particularly in those at highest risk of adverse outcomes and in the absence of T2D. Funding: None.

Lab testing overload: a comprehensive analysis of overutilization in hospital-based settings.

Overuse of laboratory tests has been a growing problem in the inpatient hospital setting for years, which adds to the rising cost of care. Various factors come into play, such as clinical routines, lack of cost transparency, and the convenience of electronic health record-based ordering. The financial ramifications of the overuse are significant, as lab costs drive most medical decisions. Eliminating unnecessary testing with clinical decision support and best practices is associated with marked cost savings, improved outcomes, and decreased patient distress. The excessive use of laboratory tests highly affects patients, resulting in hospital-induced anemia, low patient satisfaction, and poor outcomes. Tackling lab overuse requires a multifaceted approach that includes education, technology, and policy changes. In the era of precision healthcare, optimizing test utilization can reduce costs, decrease waste, and improve patient care.

Utilizing nursing standards in electronic health records: A descriptive qualitative study.

BACKGROUND: The electronic health record (EHR), including standardized structures and languages, represents an important data source for nurses, to continually update their individual and shared perceptual understanding of clinical situations. Registered nurses' utilization of nursing standards, such as standardized nursing care plans and language in EHRs, has received little attention in the literature. Further research is needed to understand nurses' care planning and documentation practice. AIMS: This study aimed to describe the experiences and perceptions of nurses' EHR documentation practices utilizing standardized nursing care plans including standardized nursing language, in the daily documentation of nursing care for patients living in special dementia-care units in nursing homes in Norway. METHODS: A descriptive qualitative study was conducted between April and November 2021 among registered nurses working in special dementia care units in Norwegian nursing homes. In-depth interviews were conducted, and data was analyzed utilizing reflexive thematic analysis with a deductive orientation. Findings Four themes were generated from the analysis. First, the knowledge, skills, and attitude of system users were perceived to influence daily documentation practice. Second, management and organization of documentation work, internally and externally, influenced motivation and engagement in daily documentation processes. Third, usability issues of the EHR were perceived to limit the daily workflow and the nurses' information-needs. Last, nursing standards in the EHR were perceived to contribute to the development of documentation practices, supporting and stimulating ethical awareness, cognitive processes, and knowledge development. CONCLUSION: Nurses and nursing leaders need to be continuously involved and engaged in EHR documentation to safeguard development and implementation of relevant nursing standards.

The implementation of a multidisciplinary, electronic health record embedded care pathway to improve structured data recording and decrease electronic health record burden.

INTRODUCTION: Theoretically, the added value of electronic health records (EHRs) is extensive. Reusable data capture in EHRs could lead to major improvements in quality measurement, scientific research, and decision support. To achieve these goals, structured and standardized recording of healthcare data is a prerequisite. However, time spent on EHRs by physicians is already high. This study evaluated the effect of implementing an EHR embedded care pathway with structured data recording on the EHR burden of physicians. MATERIALS AND METHODS: Before and six months after implementation, consultations were recorded and analyzed with video-analytic software. Main outcome measures were time spent on specific tasks within the EHR, total consultation duration, and usability indicators such as required mouse clicks and keystrokes. Additionally, a validated questionnaire was completed twice to evaluate changes in physician perception of EHR system factors and documentation process factors. RESULTS: Total EHR time in initial oncology consultations was significantly reduced by 3.7 min, a 27 % decrease. In contrast, although a decrease of 13 % in consultation duration was observed, no significant effect on EHR time was found in follow-up consultations. Additionally, perceptions of physicians regarding the EHR and documentation improved significantly. DISCUSSION: Our results have shown that it is possible to achieve structured data capture while simultaneously reducing the EHR burden, which is a decisive factor in end-user acceptance of documentation systems. Proper alignment of structured documentation with workflows is critical for success. CONCLUSION: Implementing an EHR embedded care pathway with structured documentation led to decreased EHR burden.

Quality improvement project to reduce medicare 1-day write-offs due to inappropriate admission orders.

BACKGROUND: We identified that Stanford Health Care had a significant number of patients who after discharge are found by the utilization review committee not to meet Center for Mediare and Medicaid Services (CMS) 2-midnight benchmark for inpatient status. Some of the charges incurred during the care of these patients are written-off and known as Medicare 1-day write-offs. This study which aims to evaluate the use of a Best Practice Alert (BPA) feature on the electronic medical record, EPIC, to ensure appropriate designation of a patient's hospitalization status as either inpatient or outpatient in accordance with Center for Medicare and Medicaid services (CMS) 2 midnight length of stay benchmark thereby reducing the number of associated write-offs. METHOD: We incorporated a best practice alert (BPA) into the Epic Electronic Medical Record (EMR) that would prompt the discharging provider and the case manager to review the patients' inpatient designation prior to discharge and change the patient's designation to observation when deemed appropriate. Patients who met the inclusion criteria (Patients must have Medicare fee-for-service insurance, inpatient length of stay (LOS) less than 2 midnights, inpatient designation as hospitalization status at time of discharge, was hospitalized to an acute level of care and belonged to one of 37 listed hospital services at the time of signing of the discharge order) were randomized to have the BPA either silent or active over a three-month period from July 18, 2019, to October 18, 2019. RESULT: A total of 88 patients were included in this study: 40 in the control arm and 48 in the intervention arm. In the intervention arm, 8 (8/48, 16.7%) had an inpatient status designation despite potentially meeting Medicare guidelines for an observation stay, comparing to 23 patients (23/40, 57.5%) patients in the control group (p = 0.001). The estimated number of write-offs in the control arm was 17 (73.9%, out of 23 inpatient patients) while in the intervention arm was 1 (12.5%, out of 8 inpatient patient) after accounting for patients who may have met inpatient criteria for other reasons based on case manager note review. CONCLUSION: This is the first time to our knowledge that a BPA has been used in this manner to reduce the number of Medicare 1-day write-offs.

Cost-consequence analysis of tocilizumab versus adalimumab and etanercept among rheumatoid arthritis patients in Saudi Arabia: a single-center study.

BACKGROUND: The study aimed to examine the direct medical cost and impact of tocilizumab (TOZ) versus adalimumab (ADM) and etanercept (ETC) on reducing the levels of two inflammatory markers (e.g., C-reactive protein (CRP) and erythrocyte sedimentation rate (ESR)) among patients with rheumatoid arthritis (RA) using real-world data from Saudi Arabia. METHOD: This was a single-center retrospective cohort study in which data for biologic-naïve RA patients aged ≥ 18 years and treated with TOZ, ADM, ETC were retrieved from the electronic medical records (EMRs) of a university-affiliated tertiary care center in Riyadh, Saudi Arabia. Patients were followed up at least one year after the treatment initiation. Bottom-up microcosting was utilized to estimate the direct medical costs. Additionally, inverse probability treatment weighting and bootstrapping with 10,000 replications were conducted to generate 95% confidence levels for costs and the mean reductions in CRP and ESR levels. RESULTS: The number of patients who met the inclusion criteria and were included in the analysis was 150 patients (TOZ (n = 56), ADM (n = 41), ETC (n = 53)). Patients on TOZ had 3.96 mg/L (95% CI: -0.229-4.95) and 11.21 mm/hr (95% CI: 10.28-18.11) higher mean reductions in the CRP and ESR levels compared to their counterparts on ADM, ETC, respectively. However, this was associated with mean annual incremental costs of USD 10,087.88 (95% CI: 9494.50-11,441.63) in all cost-effectiveness bootstrap distributions. CONCLUSION: Tocilizumab has shown better effectiveness in reducing the levels of CRP and ESR but with higher costs. Future studies should examine whether the reduction of these two inflammatory markers is associated with quality-adjusted life years (QALYs) gains.