Documentation of shared decision-making in diagnostic testing for dementia in Dutch general practice: A retrospective study in electronic patient records.

OBJECTIVE: To explore (1) documentation of shared decision-making (SDM) in diagnostic testing for dementia in electronic patient records (EPR) in general practice and (2) study whether documentation of SDM is related to specific patient characteristics. METHODS: In this retrospective observational study, EPRs of 228 patients in three Dutch general practices were explored for the documentation of SDM elements using Elwyn's model (team talk, option talk, decision talk). Patient characteristics (gender, age, comorbidities, chronic polypharmacy, the number of consultations on memory complaints) and decision outcome (wait-and-see, GP diagnostics, referral) were also extracted. RESULTS: In EPRs of most patients (62.6 %), at least one SDM element was documented. Most often this concerned team talk (61.6 %). Considerably less often option talk (4.3 %) and decision talk (12.8 %) were documented. SDM elements were more frequently documented in patients with lower comorbidity scores and patients with a relatively high number of consultations. Decision talk was more frequently documented in referred patients. CONCLUSION: Patients' and significant others' needs, goals, and wishes on diagnostic testing for dementia are often documented in EPRs. PRACTICE IMPLICATIONS: Limited documentation of option and decision talk stresses the need for future SDM interventions to facilitate timely dementia diagnosis.

In-hospital mortality, readmission, and prolonged length of stay risk prediction leveraging historical electronic patient records.

Objective: This study aimed to investigate the predictive capabilities of historical patient records to predict patient adverse outcomes such as mortality, readmission, and prolonged length of stay (PLOS). Methods: Leveraging a de-identified dataset from a tertiary care university hospital, we developed an eXplainable Artificial Intelligence (XAI) framework combining tree-based and traditional machine learning (ML) models with interpretations and statistical analysis of predictors of mortality, readmission, and PLOS. Results: Our framework demonstrated exceptional predictive performance with a notable area under the receiver operating characteristic (AUROC) of 0.9625 and an area under the precision-recall curve (AUPRC) of 0.8575 for 30-day mortality at discharge and an AUROC of 0.9545 and AUPRC of 0.8419 at admission. For the readmission and PLOS risk, the highest AUROC achieved were 0.8198 and 0.9797, respectively. The tree-based models consistently outperformed the traditional ML models in all 4 prediction tasks. The key predictors were age, derived temporal features, routine laboratory tests, and diagnostic and procedural codes. Conclusion: The study underscores the potential of leveraging medical history for enhanced hospital predictive analytics. We present an accurate and intuitive framework for early warning models that can be easily implemented in the current and developing digital health platforms to predict adverse outcomes accurately.

Embracing Digital Transformation: A Three-Cycle Audit on Improving Intraoperative Tourniquet Documentation Following BOAST (British Orthopaedic Association Standards for Trauma) Guidelines.

Introduction Tourniquets are vital devices in orthopaedic surgery that aid in creating a bloodless field. While they reduce operative time and outcomes, improper use can lead to severe complications. The British Orthopaedic Association Standards for Trauma (BOAST) offers guidelines for safe intraoperative tourniquet usage, emphasising proper application and accurate documentation. With the push for a paperless National Health Service (NHS), orthopaedic units across the UK are transitioning to electronic patient records (EPR). In this audit, we aim to evaluate the impact of electronic patient records (EPR) implementation on tourniquet documentation and subsequent interventions to enhance guideline adherence. Methods This closed-loop audit evaluated 159 emergency trauma cases at a single UK-based district general hospital across three different cycles. The first cycle (n=50) was collected before the trust-wide adoption of an EPR system (EPIC HIVE). Upon collecting the second cycle (n=59), local intraoperative tourniquet usage results compared to BOAST were presented at a departmental audit meeting. A specialised smart phrase template was subsequently shared with the department and the results were re-audited in the third cycle (n=50). Statistical analyses were performed to compare the cycles. Results Following the introduction of the EPR, compliance with documentation standards (fully and partially adhered to) initially declined from 38.0% to 17.0%. Post-intervention, compliance increased to 62.0% (p=0.0005). Individual aspects of documentation revealed notable improvements, including increases in skin assessment pre- and post-tourniquet application (0% to 56% and 0% to 60%, respectively, p<0.0001), isolation method (0% to 60%, p<0.0001), exsanguination method (2% to 24%, p=0.0003), tourniquet pressure (39% to 76%, p=0.0001) and tourniquet time (59% to 94%, p=0.0001). Lower limb tourniquet pressures significantly decreased between audit cycles (mean: 287.06 vs mean: 265.91, p=0.007) while upper limb pressures remained relatively stable (mean: 236.67 vs mean: 236.56, p=0.993). No tourniquet-related complications were reported across all audit cycles. Conclusion While the introduction of new EPR systems may initially present challenges in upholding accurate operative records, the incorporation of specialised electronic templates and active staff engagement has shown to be instrumental in improving tourniquet safety and enhancing care standards.

[Importance of documentation. Not documented is deemed to be not done]. / Bedeutung der Dokumentation. Nicht dokumentiert gilt als nicht gemacht.

Only a few physicians are willing to comprehensively concern themselves with how a legally watertight treatment documentation should be structured, in addition to their practical activities; however, the importance of the documentation cannot be emphasized enough, not only for a potential case of liability but also for the medical (further) treatment. This article therefore illustrates the legal foundations of the mandatory documentation and the most important questions associated with it for the practice, in particular on the content of the documentation, the timing of the documentation, the preservation of treatment documents and on the conduct in cases of an impending incident.

Antibiotic Prescribing by Digital Health Care Providers as Compared to Traditional Primary Health Care Providers: Cohort Study Using Register Data.

BACKGROUND:  "Direct-to-consumer (DTC) telemedicine" is increasing worldwide and changing the map of primary health care (PHC). Virtual care has increased in the last decade and with the ongoing COVID-19 pandemic, patients' use of online care has increased even further. In Sweden, online consultations are a part of government-supported health care today, and there are several digital care providers on the Swedish market, which makes it possible to get in touch with a doctor within a few minutes. The fast expansion of this market has raised questions about the quality of primary care provided only in an online setting without any physical appointments. Antibiotic prescribing is a common treatment in PHC. OBJECTIVE:  This study aimed to compare antibiotic prescribing between digital PHC providers (internet-PHC) and traditional physical PHC providers (physical-PHC) and to determine whether prescriptions for specific diagnoses differed between internet-PHC and physical-PHC appointments, adjusted for the effects of attained age at the time of appointment, gender, and time relative to the COVID-19 pandemic. METHODS:  Antibiotic prescribing data based on Anatomical Therapeutic Chemical (ATC) codes were obtained for Region Sörmland residents from January 2020 until March 2021 from the Regional Administrative Office. In total, 160,238 appointments for 68,332 Sörmland residents were included (124,398 physical-PHC and 35,840 internet-PHC appointments). Prescriptions issued by internet-PHC or physical-PHC physicians were considered. Information on the appointment date, staff category serving the patient, ICD-10 (International Statistical Classification of Diseases, Tenth Revision) diagnosis codes, ATC codes of prescribed medicines, and patient-attained age and gender were used. RESULTS:  A total of 160,238 health care appointments were registered, of which 18,433 led to an infection diagnosis. There were large differences in gender and attained age distributions among physical-PHC and internet-PHC appointments. Physical-PHC appointments peaked among patients aged 60-80 years while internet-PHC appointments peaked at 20-30 years of age for both genders. Antibiotics with the ATC codes J01A-J01X were prescribed in 9.3% (11,609/124,398) of physical-PHC appointments as compared with 6.1% (2201/35,840) of internet-PHC appointments. In addition, 61.3% (6412/10,454) of physical-PHC infection appointments resulted in antibiotic prescriptions, as compared with only 25.8% (2057/7979) of internet-PHC appointments. Analyses of the prescribed antibiotics showed that internet-PHC followed regional recommendations for all diagnoses. Physical-PHC also followed the recommendations but used a wider spectrum of antibiotics. The odds ratio of receiving an antibiotic prescription (after adjustments for attained age at the time of appointment, patient gender, and whether the prescription was issued before or during the COVID-19 pandemic) during an internet-PHC appointment was 0.23-0.39 as compared with a physical-PHC appointment. CONCLUSIONS:  Internet-PHC appointments resulted in a significantly lower number of antibiotics prescriptions than physical-PHC appointments, adjusted for the large differences in the characteristics of patients who consult internet-PHC and physical-PHC. Internet-PHC prescribers showed appropriate prescribing according to guidelines.

Assessing Patterns of Continuous Glucose Monitoring Use and Metrics of Glycemic Control in Type 1 Diabetes and Type 2 Diabetes Patients in the Veterans Health Care System: Integrating Continuous Glucose Monitoring Device Data with Electronic Health Records Data.

Objective: To integrate long-term daily continuous glucose monitoring (CGM) device data with electronic health records (EHR) for patients with type 1 and type 2 diabetes (T1D and T2D) in the national Veterans Affairs Healthcare System to assess real-world patterns of CGM use and the reliability of EHR-based CGM information. Research Design and Methods: This observational study used Dexcom CGM device data linked with EHR (from 2015 to 2020) for a large national cohort of patients with diabetes. We tracked the initiation and consistency of CGM use, assessed concordance of CGM use and measures of glucose control between CGM device data and EHR records, and examined results by age, ethnicity, and diabetes type. Results: The time from pharmacy release of CGM to patients to initiation of uploading CGM data to Dexcom servers averaged 3 weeks but demonstrated wide variation among individuals; importantly, this delay decreased markedly over the later years. The average daily wear time of CGM exceeded 22 h over nearly 3 years of follow-up. Patterns of CGM use were generally consistent across age, race/ethnicity groups, and diabetes type. There was strong concordance between EHR-based estimates of CGM use and Dexcom CGM wear time and between estimates of glucose control from both sources. Conclusions: The study demonstrates our ability to reliably integrate CGM devices and EHR data to provide valuable insights into CGM use patterns. The results indicate in the real-world environment that CGM is worn consistently over many years for both patients with T1D and T2D within the Veterans Affairs Healthcare System and is similar across major race/ethnic groups and age-groups.

Examining a sentiment algorithm on session patient records in an eating disorder treatment setting: a preliminary study.

Background: Clinicians collect session therapy notes within patient session records. Session records contain valuable information about patients' treatment progress. Sentiment analysis is a tool to extract emotional tones and states from text input and could be used to evaluate patients' sentiment during treatment over time. This preliminary study aims to investigate the validity of automated sentiment analysis on session patient records within an eating disorder (ED) treatment context against the performance of human raters. Methods: A total of 460 patient session records from eight participants diagnosed with an ED were evaluated on their overall sentiment by an automated sentiment analysis and two human raters separately. The inter-rater agreement (IRR) between the automated analysis and human raters and IRR among the human raters was analyzed by calculating the intra-class correlation (ICC) under a continuous interpretation and weighted Cohen's kappa under a categorical interpretation. Furthermore, differences regarding positive and negative matches between the human raters and the automated analysis were examined in closer detail. Results: The ICC showed a moderate automated-human agreement (ICC = 0.55), and the weighted Cohen's kappa showed a fair automated-human (k = 0.29) and substantial human-human agreement (k = 0.68) for the evaluation of overall sentiment. Furthermore, the automated analysis lacked words specific to an ED context. Discussion/conclusion: The automated sentiment analysis performed worse in discerning sentiment from session patient records compared to human raters and cannot be used within practice in its current state if the benchmark is considered adequate enough. Nevertheless, the automated sentiment analysis does show potential in extracting sentiment from session records. The automated analysis should be further developed by including context-specific ED words, and a more solid benchmark, such as patients' own mood, should be established to compare the performance of the automated analysis to.

Electronic Medical Record Data Missingness and Interruption in Antiretroviral Therapy Among Adults and Children Living With HIV in Haiti: Retrospective Longitudinal Study.

Background: Children (aged 0-14 years) living with HIV often experience lower rates of HIV diagnosis, treatment, and viral load suppression. In Haiti, only 63% of children living with HIV know their HIV status (compared to 85% overall), 63% are on treatment (compared to 85% overall), and 48% are virally suppressed (compared to 73% overall). Electronic medical records (EMRs) can improve HIV care and patient outcomes, but these benefits are largely dependent on providers having access to quality and nonmissing data. Objective: We sought to understand the associations between EMR data missingness and interruption in antiretroviral therapy treatment by age group (pediatric vs adult). Methods: We assessed associations between patient intake record data missingness and interruption in treatment (IIT) status at 6 and 12 months post antiretroviral therapy initiation using patient-level data drawn from iSanté, the most widely used EMR in Haiti. Missingness was assessed for tuberculosis diagnosis, World Health Organization HIV stage, and weight using a composite score indicator (ie, the number of indicators of interest missing). Risk ratios were estimated using marginal parameters from multilevel modified Poisson models with robust error variances and random intercepts for the facility to account for clustering. Results: Data were drawn from 50 facilities and comprised 31,457 patient records from people living with HIV, of which 1306 (4.2%) were pediatric cases. Pediatric patients were more likely than adult patients to experience IIT (n=431, 33% vs n=7477, 23.4% at 6 months; P<.001). Additionally, pediatric patient records had higher data missingness, with 581 (44.5%) pediatric records missing at least 1 indicator of interest, compared to 7812 (25.9%) adult records (P<.001). Among pediatric patients, each additional indicator missing was associated with a 1.34 times greater likelihood of experiencing IIT at 6 months (95% CI 1.08-1.66; P=.008) and 1.24 times greater likelihood of experiencing IIT at 12 months (95% CI 1.05-1.46; P=.01). These relationships were not statistically significant for adult patients. Compared to pediatric patients with 0 missing indicators, pediatric patients with 1, 2, or 3 missing indicators were 1.59 (95% CI 1.26-2.01; P<.001), 1.74 (95% CI 1.02-2.97; P=.04), and 2.25 (95% CI 1.43-3.56; P=.001) times more likely to experience IIT at 6 months, respectively. Among adult patients, compared to patients with 0 indicators missing, having all 3 indicators missing was associated with being 1.32 times more likely to experience IIT at 6 months (95% CI 1.03-1.70; P=.03), while there was no association with IIT status for other levels of missingness. Conclusions: These findings suggest that both EMR data quality and quality of care are lower for children living with HIV in Haiti. This underscores the need for further research into the mechanisms by which EMR data quality impacts the quality of care and patient outcomes among this population. Efforts to improve both EMR data quality and quality of care should consider prioritizing pediatric patients.

Harmonizing the definition of medication reviews for their collaborative implementation and documentation in electronic patient records: A Delphi consensus study.

BACKGROUND: Medication review practices have evolved internationally in a direction in which not only physicians but also other healthcare professionals conduct medication reviews according to agreed practices. Collaborative practices have increasingly highlighted the need for electronic joint platforms where information on medication regimens and their implementation can be documented, kept updated, and shared. OBJECTIVE: The aim of this study was to harmonize the definition of medication reviews and create a unified conceptual basis for their collaborative implementation and documentation in electronic patient records (definition appellation: collaborative medication review). METHODS: The study was conducted using the Delphi consensus survey with three interprofessional expert panel rounds in September-December 2020. The consensus rate was set at 80%. Experts assessed the proposed definition of collaborative medication review based on an international and national inventory of medication review definitions. The expert panel (n = 41) involved 12 physicians, 13 pharmacists, 10 nurses, and six information management professionals. The range of response rates for the rounds was 63-88%. RESULTS: The experts commented on which of the pre-selected items (n = 75) characterizing medication reviews should be included in the definition of collaborative medication review. The items were divided into the following five themes and 51 of them reached consensus: 1) Actions included in the collaborative medication review (n = 24/24), 2) Settings where the review should be conducted (n = 5/5), 3) Situations where the review should be considered as needed and carried out (n = 10/11), 4) Prioritization of top five benefits to be achieved by the review and 5) Prioritization of top five patient groups to whom the review should be targeted. CONCLUSIONS: A strong interprofessional consensus was reached on the definition of collaborative medication review. The most challenging was to identify individual patient groups benefiting from the review.

The Implementation of Federated Digital Identifiers in Health Care: Rapid Review.

BACKGROUND: Federated digital identifiers (FDIs) have been cited to improve the interoperability of data and information management while enhancing the privacy of individuals verifying their identity on the web. Many countries around the world have implemented FDIs in various sectors, such as banking and government. Similarly, FDIs could improve the experience for those wanting to access their health care information; however, they have only been introduced in a few jurisdictions around the world, and their impact remains unclear. OBJECTIVE: The main objective of this environmental scan was to describe how FDIs have been established and implemented to enable patients' access to health care. METHODS: We conducted this study in 2 stages, with the primary stage being a rapid review, which was supplemented by a targeted gray literature search. Specifically, the rapid review was conducted through a database search of MEDLINE and Embase, which generated a list of countries and their services that use FDIs in health care. This list was then used to conduct a targeted gray literature search using the Google search engine. RESULTS: A total of 93 references from the database and targeted Google searches were included in this rapid review. FDIs were implemented in health care in 11 countries (Australia, Belgium, Canada, Denmark, Estonia, Finland, Iceland, Norway, Singapore, Sweden, and Taiwan) and exclusively used with a patient-accessible electronic health record system through a single sign-on interface. The most common FDIs were implemented nationally or provincially, and establishing them usually required individuals to visit a bank or government office in person. In contrast, some countries, such as Australia, allow individuals to verify their identities entirely on the web. We found that despite the potential of FDIs for use in health care to facilitate the amalgamation of health information from different data sources into one platform, the adoption of most health care services that use FDIs remained below 30%. The exception to this was Australia, which had an adoption rate of 90%, which could be correlated with the fact that it leveraged an opt-out consent model. CONCLUSIONS: This rapid review highlights key features of FDIs across regions and elements associated with higher adoption of the patient-accessible electronic health record systems that use them, like opt-out registration. Although FDIs have been reported to facilitate the collation of data from multiple sources through a single sign-on interface, there is little information on their impact on care or patient experience. If FDIs are used to their fullest potential and implemented across sectors, adoption rates within health care may also improve.

Identification of Predictors for Clinical Deterioration in Patients With COVID-19 via Electronic Nursing Records: Retrospective Observational Study.

BACKGROUND: Few studies have used standardized nursing records with Systematized Nomenclature of Medicine-Clinical Terms (SNOMED CT) to identify predictors of clinical deterioration. OBJECTIVE: This study aims to standardize the nursing documentation records of patients with COVID-19 using SNOMED CT and identify predictive factors of clinical deterioration in patients with COVID-19 via standardized nursing records. METHODS: In this study, 57,558 nursing statements from 226 patients with COVID-19 were analyzed. Among these, 45,852 statements were from 207 patients in the stable (control) group and 11,706 from 19 patients in the exacerbated (case) group who were transferred to the intensive care unit within 7 days. The data were collected between December 2019 and June 2022. These nursing statements were standardized using the SNOMED CT International Edition released on November 30, 2022. The 260 unique nursing statements that accounted for the top 90% of 57,558 statements were selected as the mapping source and mapped into SNOMED CT concepts based on their meaning by 2 experts with more than 5 years of SNOMED CT mapping experience. To identify the main features of nursing statements associated with the exacerbation of patient condition, random forest algorithms were used, and optimal hyperparameters were selected for nursing problems or outcomes and nursing procedure-related statements. Additionally, logistic regression analysis was conducted to identify features that determine clinical deterioration in patients with COVID-19. RESULTS: All nursing statements were semantically mapped to SNOMED CT concepts for "clinical finding," "situation with explicit context," and "procedure" hierarchies. The interrater reliability of the mapping results was 87.7%. The most important features calculated by random forest were "oxygen saturation below reference range," "dyspnea," "tachypnea," and "cough" in "clinical finding," and "oxygen therapy," "pulse oximetry monitoring," "temperature taking," "notification of physician," and "education about isolation for infection control" in "procedure." Among these, "dyspnea" and "inadequate food diet" in "clinical finding" increased clinical deterioration risk (dyspnea: odds ratio [OR] 5.99, 95% CI 2.25-20.29; inadequate food diet: OR 10.0, 95% CI 2.71-40.84), and "oxygen therapy" and "notification of physician" in "procedure" also increased the risk of clinical deterioration in patients with COVID-19 (oxygen therapy: OR 1.89, 95% CI 1.25-3.05; notification of physician: OR 1.72, 95% CI 1.02-2.97). CONCLUSIONS: The study used SNOMED CT to express and standardize nursing statements. Further, it revealed the importance of standardized nursing records as predictive variables for clinical deterioration in patients.

Natural Language Processing of Referral Letters for Machine Learning-Based Triaging of Patients With Low Back Pain to the Most Appropriate Intervention: Retrospective Study.

BACKGROUND: Decision support systems (DSSs) for suggesting optimal treatments for individual patients with low back pain (LBP) are currently insufficiently accurate for clinical application. Most of the input provided to train these systems is based on patient-reported outcome measures. However, with the appearance of electronic health records (EHRs), additional qualitative data on reasons for referrals and patients' goals become available for DSSs. Currently, no decision support tools cover a wide range of biopsychosocial factors, including referral letter information to help clinicians triage patients to the optimal LBP treatment. OBJECTIVE: The objective of this study was to investigate the added value of including qualitative data from EHRs and referral letters to the accuracy of a quantitative DSS for patients with LBP. METHODS: A retrospective study was conducted in a clinical cohort of Dutch patients with LBP. Patients filled out a baseline questionnaire about demographics, pain, disability, work status, quality of life, medication, psychosocial functioning, comorbidity, history, and duration of pain. Referral reasons and patient requests for help (patient goals) were extracted via natural language processing (NLP) and enriched in the data set. For decision support, these data were considered independent factors for triage to neurosurgery, anesthesiology, rehabilitation, or minimal intervention. Support vector machine, k-nearest neighbor, and multilayer perceptron models were trained for 2 conditions: with and without consideration of the referral letter content. The models' accuracies were evaluated via F1-scores, and confusion matrices were used to predict the treatment path (out of 4 paths) with and without additional referral parameters. RESULTS: Data from 1608 patients were evaluated. The evaluation indicated that 2 referral reasons from the referral letters (for anesthesiology and rehabilitation intervention) increased the F1-score accuracy by up to 19.5% for triaging. The confusion matrices confirmed the results. CONCLUSIONS: This study indicates that data enriching by adding NLP-based extraction of the content of referral letters increases the model accuracy of DSSs in suggesting optimal treatments for individual patients with LBP. Overall model accuracies were considered low and insufficient for clinical application.

Reflections on the use of patient records: Privacy, ethics, and reparations in the history of psychiatry.

One of the most common questions we get asked as historians of psychiatry is "do you have access to patient records?" Why are people so fascinated with the psychiatric patient record? Do people assume they are or should be available? Does access to the patient record actually tell us anything new about the history of psychiatry? And if we did have them, what can, or should we do with them? In the push to both decolonize and personalize the history of psychiatry, as well as make some kind of account or reparation for past mistakes, how can we proceed in an ethical manner that respects the privacy of people in the past who never imagined their intensely personal psychiatric encounter as subject for future historians? In this paper, we want to think through some of the issues that we deal with as white historians of psychiatry especially at the intersection of privacy, ethics, and racism. We present our thoughts as a conversation, structured around questions we have posed for ourselves, and building on discussions we have had together over the past few years. We hope that they act as a catalyst for further discussion in the field.

Going paperless - Qualitative monitoring of staff morale during the transition from paper to electronic health records.

Background: Organisational change is an important part of development and growth. Transitioning from paper-based hospital records to electronic health records improves efficiency and patient safety by streamlining data access and reducing the risk of errors, ultimately leading to enhanced patient care and outcomes. In October 2020, a large NHS trust underwent the transition from paper notes to a fully electronic health records system. Therefore, the purpose of this study was to monitor staff morale during this organisational change; to highlight any issues arising that may impact on the smooth transition; to encourage feedback. Methods: A questionnaire was distributed to all members of the maxillofacial outpatients department on a regular basis. The qualitative responses were analysed using NVivo, following a framework analysis model. Results: The analysis generated 1319 codes, which were placed into 68 groups. The three main themes were 'Transformational Advancements in Healthcare Delivery'; 'Obstacles to Seamless EHR Integration; 'Navigating the Transition and Evolving Perceptions'. Discussion: Regular monitoring of morale and staff opinion allows for smoother transition in a large-scale organisational change. The results of this project will help future hospitals and trusts undergoing similar transitions.

Experiences of operational managers regarding record keeping by new professional nurses in public hospitals in the North West province, South Africa.

Background: Documentation can be written or computerised and is used to communicate healthcare and treatment among healthcare professionals. Documentation is the tool that records and measures the healthcare provided to patients, and it must be accurate, complete and timely. Aim: This study aims to explore and describe the experiences of the operational managers regarding record keeping by new nurses in selected public hospitals in South Africa. Setting: The study was conducted in selected public hospitals in the North West province. Method: This study used a qualitative, explorative and descriptive approach with a purposive sampling method. A total of 35 operational managers participated in the process of data collection. Results: The following themes emerged from this study: gaps in record keeping, the impact of inaccurate documentation and the need for improvement in record keeping. Conclusion: The study has shown the need to bring technological innovation to strengthen the effective improvement of digitalisation in nursing record keeping in the facilities furthermore, nurses should be supported through programmes on intentional and mindful record keeping curbing the incidences of inaccuracy and incompleteness. Contribution: This study's findings confirmed that new nurses were not consistent with accurate documentation of patient records, and this needs further strengthening in public hospitals to have an impact on the health and safety of the patient.

Underdiagnosed CKD in Geriatric Trauma Patients and Potent Prevention of Renal Impairment from Polypharmacy Risks through Individual Pharmacotherapy Management (IPM-III).

The aging global patient population with multimorbidity and concomitant polypharmacy is at increased risk for acute and chronic kidney disease, particularly with severe additional disease states or invasive surgical procedures. Because from the expertise of more than 58,600 self-reviewed medications, adverse drug reactions, drug interactions, inadequate dosing, and contraindications all proved to cause or exacerbate the worsening of renal function, we analyzed the association of an electronic patient record- and Summaries of Product Characteristics (SmPCs)-based comprehensive individual pharmacotherapy management (IPM) in the setting of 14 daily interdisciplinary patient visits with the outcome: further renal impairment with reduction of eGFR ≥ 20 mL/min (redGFR) in hospitalized trauma patients ≥ 70 years of age. The retrospective clinical study of 404 trauma patients comparing the historical control group (CG) before IPM with the IPM intervention group (IG) revealed a group-match in terms of potential confounders such as age, sex, BMI, arterial hypertension, diabetes mellitus, and injury patterns. Preexisting chronic kidney disease (CKD) > stage 2 diagnosed as eGFR < 60 mL/min/1.73 m2 on hospital admission was 42% in the CG versus 50% in the IG, although in each group only less than 50% of this was coded as an ICD diagnosis in the patients' discharge letters (19% in CG and 21% in IG). IPM revealed an absolute risk reduction in redGFR of 5.5% (11 of 199 CG patients) to 0% in the IPM visit IG, a relative risk reduction of 100%, NNT 18, indicating high efficacy of IPM and benefit in improving outcomes. There even remained an additive superimposed significant association that included patients in the IPM group before/beyond the 14 daily IPM interventions, with a relative redGFR risk reduction of 0.55 (55%) to 2.5% (5 of 204 patients), OR 0.48 [95% CI 0.438-0.538] (p < 0.001). Bacteriuria, loop diuretics, allopurinol, eGFR ≥ 60 mL/min/1.73 m2, eGFR < 60 mL/min/1.73 m2, and CKD 3b were significantly associated with redGFR; of the latter, 10.5% developed redGFR. Further multivariable regression analysis adjusting for these and established risk factors revealed an additive, superimposed IPM effect on redGFR with an OR 0.238 [95% CI 0.06-0.91], relative risk reduction of 76.2%, regression coefficient -1.437 including patients not yet visited in the IPM period. As consequences of the IPM procedure, the IG differed from the CG by a significant reduction of NSAIDs (p < 0.001), HCT (p = 0.028) and Würzburger pain drip (p < 0.001), and significantly increased prescription rate of antibiotics (p = 0.004). In conclusion, (1) more than 50% of CKD in geriatric patients was not pre-recognized and underdiagnosed, and (2) the electronic patient records-based IPM interdisciplinary networking strategy was associated with effective prevention of further periinterventional renal impairment and requires obligatory implementation in all elderly patients to urgently improve patient and drug safety.

De-identified Bayesian personal identity matching for privacy-preserving record linkage despite errors: development and validation.

BACKGROUND: Epidemiological research may require linkage of information from multiple organizations. This can bring two problems: (1) the information governance desirability of linkage without sharing direct identifiers, and (2) a requirement to link databases without a common person-unique identifier. METHODS: We develop a Bayesian matching technique to solve both. We provide an open-source software implementation capable of de-identified probabilistic matching despite discrepancies, via fuzzy representations and complete mismatches, plus de-identified deterministic matching if required. We validate the technique by testing linkage between multiple medical records systems in a UK National Health Service Trust, examining the effects of decision thresholds on linkage accuracy. We report demographic factors associated with correct linkage. RESULTS: The system supports dates of birth (DOBs), forenames, surnames, three-state gender, and UK postcodes. Fuzzy representations are supported for all except gender, and there is support for additional transformations, such as accent misrepresentation, variation for multi-part surnames, and name re-ordering. Calculated log odds predicted a proband's presence in the sample database with an area under the receiver operating curve of 0.997-0.999 for non-self database comparisons. Log odds were converted to a decision via a consideration threshold θ and a leader advantage threshold δ. Defaults were chosen to penalize misidentification 20-fold versus linkage failure. By default, complete DOB mismatches were disallowed for computational efficiency. At these settings, for non-self database comparisons, the mean probability of a proband being correctly declared to be in the sample was 0.965 (range 0.931-0.994), and the misidentification rate was 0.00249 (range 0.00123-0.00429). Correct linkage was positively associated with male gender, Black or mixed ethnicity, and the presence of diagnostic codes for severe mental illnesses or other mental disorders, and negatively associated with birth year, unknown ethnicity, residential area deprivation, and presence of a pseudopostcode (e.g. indicating homelessness). Accuracy rates would be improved further if person-unique identifiers were also used, as supported by the software. Our two largest databases were linked in 44 min via an interpreted programming language. CONCLUSIONS: Fully de-identified matching with high accuracy is feasible without a person-unique identifier and appropriate software is freely available.

Primary care staff's views and experience of patients' online access to their electronic health record: a qualitative exploration.

BACKGROUND: NHS England have announced plans to enable all adult patients to have full prospective access to their primary care record by default. Despite this, little is known about the views and experiences of primary care staff regarding patients' online records access (ORA). AIM: To examine the views and experiences of primary care staff regarding patients having online access to their primary care health record, and how this service could be supported and improved. DESIGN AND SETTING: A qualitative study of a purposive sample of 30 primary care staff in England. METHOD: Online semi-structured interviews with primary care staff were conducted between December 2021 and March 2022. Verbatim transcripts were analysed inductively using thematic analysis. RESULTS: Most staff agreed with the principle of patient access to online health records but had mixed feelings regarding the potential benefits and drawbacks of applying this in practice. Staff identified opportunities for improving patient engagement, health literacy, and efficiencies in some administrative workloads, as well as concerns about maintaining the clinical integrity of patient records and ensuring that staff and patient safety and wellbeing are protected. CONCLUSION: Participants acknowledged that ORA may transform the purpose and function of the record and that ORA has potential to instigate a significant cultural shift in primary care, changing how staff work and relate to patients. This underlines the need for additional staff training and support to expand capability and capacity to adapt practice and enhance patient engagement with, and understanding of, their health records.

The Child Surgical Patient in the Early Twentieth Century.

In the second half of the nineteenth century, scientific and technological developments in surgery permitted safer procedures to be carried out. Theoretically, therefore, children whose lives would otherwise have been blighted by disease could be saved by timely operative interference. The reality was more complicated, however, as this article shows. Through an exploration of British and American surgical textbooks and an in-depth analysis of the child surgical patient base at one London general hospital, the tensions between the possibilities and the actualities of surgery on children can be examined for the first time. Hearing the child's voice through case notes allows both a restoration of these complex patients to the history of medicine and a questioning of the wider application of science and technology to working-class bodies, situations, and environments which resist such treatment.

Automating Case Reporting of Chlamydia and Gonorrhea to Public Health Authorities in Illinois Clinics: Implementation and Evaluation of Findings.

BACKGROUND: Chlamydia and gonorrhea cases continue to rise in Illinois, increasing by 16.4% and 70.9% in 2019, respectively, compared with 2015. Providers are required to report both chlamydia and gonorrhea, as mandated by public health laws. Manual reporting remains a huge burden; 90%-93% of cases were reported to Illinois Department of Public Health (IDPH) via electronic laboratory reporting (ELR), and the remaining were reported through web-based data entry platforms, faxes, and phone calls. However, cases reported via ELRs only contain information available to a laboratory facility and do not contain additional data needed for public health. Such data are typically found in an electronic health record (EHR). Electronic case reports (eCRs) were developed and automated the generation of case reports from EHRs to be reported to public health agencies. OBJECTIVE: Prior studies consolidated trigger criteria for eCRs, and compared with manual reporting, found it to be more complete. The goal of this project is to pilot standards-based eCR for chlamydia and gonorrhea. We evaluated the throughput, completeness, and timeliness of eCR compared to ELR, as well as the implementation experience at a large health center-controlled network in Illinois. METHODS: For this study, we selected 8 clinics located on the north, west, and south sides of Chicago to implement the eCRs; these cases were reported to IDPH. The study period was 52 days. The centralized EHR used by these clinics leveraged 2 of the 3 case detection scenarios, which were previously defined as the trigger, to generate an eCR. These messages were successfully transmitted via Health Level 7 electronic initial case report standard. Upon receipt by IDPH, these eCRs were parsed and housed in a staging database. RESULTS: During the study period, 183 eCRs representing 135 unique patients were received by IDPH. eCR reported 95% (n=113 cases) of all the chlamydia cases and 97% (n=70 cases) of all the gonorrhea cases reported from the participating clinical sites. eCR found an additional 14 (19%) cases of gonorrhea that were not reported via ELR. However, ELR reported an additional 6 cases of chlamydia and 2 cases of gonorrhea, which were not reported via eCR. ELR reported 100% of chlamydia cases but only 81% of gonorrhea cases. While key elements such as patient and provider names were complete in both eCR and ELR, eCR was found to report additional clinical data, including history of present illness, reason for visit, symptoms, diagnosis, and medications. CONCLUSIONS: eCR successfully identified and created automated reports for chlamydia and gonorrhea cases in the implementing clinics in Illinois. eCR demonstrated a more complete case report and represents a promising future of reducing provider burden for reporting cases while achieving greater semantic interoperability between health care systems and public health.