Tuberculosis screening practices and outcomes in an australian dialysis unit

BACKGROUND

The World Health Organisation (WHO) recommends all dialysis patients undertake routine screening for latent tuberculosis infection (LTBI) in high income countries such as Australia. However, we employ a targeted screening approach in our Australian dialysis unit in line with local and some international guidelines. We analysed our practices to assess the validity of our approach.

METHODS

A retrospective review of new dialysis patients during the period 2012-2018 was undertaken. Patient records were reviewed for basic demographic data, comorbidities, LTBI screening using Quantiferon Gold (QFG), and outcomes, including episodes of active TB, to June 2020.

RESULTS

472 patients were included. WHO high risk country of origin patients accounted for 22% (n = 103). 229 patients (48.5%) were screened using QFG. The single main indication for screening was transplantation waitlisting. 34 patients had a positive QFG result. Active tuberculosis developed in two patients during the observation period. Both occurred in the screened cohort, the cases having previously tested negative via QFG at 11 and 16 months, prior to the development of active tuberculosis. No patients in the unscreened cohort developed active tuberculosis during the observation period. WHO high risk country of origin was associated with positive QFG status, odds ratio 10.4 (95% CI 3.3-31.2).

CONCLUSION

The data failed to show a benefit from widening of the screening program within our dialysis unit. However, a much larger sample size will be required to confidently assess the impact of the current approach on patient outcomes. Analysis of current screening practices and outcomes across all Australian dialysis services is warranted to assess the risks and benefits of widening the screening practices to include all dialysis patients as recommended by the WHO.

Construction and effectiveness evaluation of a knowledge-based infectious disease monitoring and decision support system

To improve the hospital's ability to proactively detect infectious diseases, a knowledge-based infectious disease monitoring and decision support system was established based on real medical records and knowledge rules. The effectiveness of the system was evaluated using interrupted time series analysis. In the system, a monitoring and alert rule library for infectious diseases was generated by combining infectious disease diagnosis guidelines with literature and a real medical record knowledge map. The system was integrated with the electronic medical record system, and doctors were provided with various types of real-time warning prompts when writing medical records. The effectiveness of the system's alerts was analyzed from the perspectives of false positive rates, rule accuracy, alert effectiveness, and missed case rates using interrupted time series analysis. Over a period of 12 months, the system analyzed 4,497,091 medical records, triggering a total of 12,027 monitoring alerts. Of these, 98.43% were clinically effective, while 1.56% were invalid alerts, mainly owing to the relatively rough rules generated by the guidelines leading to several false alarms. In addition, the effectiveness of the system's alerts, distribution of diagnosis times, and reporting efficiency of doctors were analyzed. 89.26% of infectious disease cases could be confirmed and reported by doctors within 5 min of receiving the alert, and 77.6% of doctors could complete the filling of 33 items of information within 2 min, which is a reduction in time compared to the past. The timely reminders from the system reduced the rate of missed cases by doctors; the analysis using interrupted time series method showed an average reduction of 4.4037% in the missed-case rate. This study proposed a knowledge-based infectious disease decision support system based on real medical records and knowledge rules, and its effectiveness was verified. The system improved the management of infectious diseases, increased the reliability of decision-making, and reduced the rate of underreporting.

Maternal infections and medications in pregnancy: how does self-report compare to medical records in childhood cancer case-control studies?

BACKGROUND

Studies examining the potential impact of mothers' health during pregnancy on the health of their offspring often rely on self-reported information gathered several years later. To assess the validity of this approach, we analysed data from a national case-control study of childhood cancer (diagnosed <15 years) that collected health information from both interviews and medical records.

METHODS

Mothers' interview reports of infections and medications in pregnancy were compared with primary care records. Taking clinical diagnoses and prescriptions as the reference, sensitivity and specificity of maternal recall along with kappa coefficients of agreement were calculated. Differences in the odd ratios estimated using logistic regression for each information source were assessed using the proportional change in the odds ratio (OR).

RESULTS

Mothers of 1624 cases and 2524 controls were interviewed ∼6 years (range 0-18 years) after their child's birth. Most drugs and infections were underreported; in general practitioner records, antibiotic prescriptions were nearly three times higher and infections >40% higher. Decreasing with increasing time since pregnancy, sensitivity was ⩽40% for most infections and all drugs except 'anti-epileptics and barbiturates' (sensitivity 80% among controls). ORs associated with individual drug/disease categories that were based on self-reported data varied from 26% lower to 26% higher than those based on medical records; reporting differences between mothers of cases and controls were not systematically in the same direction.

CONCLUSIONS

The findings highlight the scale of under-reporting and poor validity of questionnaire-based studies conducted several years after pregnancy. Future research using prospectively collected data should be encouraged to minimize measurement errors.

Estimating Sepsis Incidence Using Administrative Data and Clinical Medical Record Review

Importance

Despite the large health burden, reliable data on sepsis epidemiology are lacking; studies using International Statistical Classification of Diseases and Related Health Problems (ICD)-coded hospital discharge diagnosis for sepsis identification suffer from limited sensitivity. Also, ICD data do not allow investigation of underlying pathogens and antimicrobial resistance.

Objectives

To generate reliable epidemiological estimates by linking data from a population-based database to a reference standard of clinical medical record review.

Design, Setting, and Participants

This was a retrospective, observational cohort study using a population-based administrative database including all acute care hospitals of the Scania region in Sweden in 2019 and 2020 to identify hospital-treated sepsis cases by ICD codes. From this database, clinical medical records were also selected for review within 6 strata defined by ICD discharge diagnosis (both with and without sepsis diagnosis). Data were analyzed from April to October 2022.

Main outcomes and measures

Hospital and population incidences of sepsis, case fatality, antimicrobial resistance, and temporal dynamics due to COVID-19 were assessed, as well as validity of ICD-10 case identification methods compared with the reference standard of clinical medical record review.

Results

Out of 295 531 hospitalizations in 2019 in the Scania region of Sweden, 997 patient medical records were reviewed, among which 457 had sepsis according to clinical criteria. Of the patients with clinical sepsis, 232 (51%) were female, and 357 (78%) had at least 1 comorbidity. The median (IQR) age of the cohort was 76 (67-85) years. The incidence of sepsis in hospitalized patients according to the Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3) criteria in 2019 was 4.1% (95% CI, 3.6-4.5) by medical record review. This corresponds to an annual incidence rate of 747 (95% CI, 663-832) patients with sepsis per 100 000 population. No significant increase in sepsis during the COVID-19 pandemic nor a decrease in sepsis incidence when excluding COVID-19 sepsis was observed. Few sepsis cases caused by pathogens with antimicrobial resistance were found. The validity of ICD-10-based case identification in administrative data was low.

Conclusions and Relevance

In this cohort study of sepsis epidemiology, sepsis was a considerable burden to public health in Sweden. Supplying administrative data with information from clinical medical records can help to generate reliable data on sepsis epidemiology.

Midline catheters in the operating room

Backgrounds

Among various vascular access devices, midline catheters (MCs) are commonly used in emergency departments, but rarely in operating rooms.

Aims

To evaluate the feasibility and safety of MCs in the operating room.

Materials and Methods

This was a retrospective study. The medical records of patients who underwent MC placement in the operating room from October 2020 to July 2022 were reviewed. The rates of successful catheter insertion as well as major and minor complications were assessed.

Results

Successful catheter insertions were achieved in 149 of 161 patients (92.5%). The median dwell time of midlines was eight days (IQR: 6-10 days). A major or minor complication occurred in 6.7% of the midlines. The rates of major complications of occlusion, upper extremity deep vein thrombosis (DVT), and catheter-related bloodstream infection were 1.3%, 0.7%, and 0%, respectively.

Conclusions

Placement of MCs in the operating room was feasible and safe. Also, the procedure provides an acceptable alternative for replacing central line catheters and peripherally inserted central catheters.

The New Zealand National Trauma Registry: an essential tool for trauma quality improvement

PURPOSE

Trauma registries are essential tools for trauma systems and underpin any quality improvement activities. This paper describes the history, function, challenges, and future goals of the New Zealand National Trauma Registry (NZTR).

METHODS

Using the available publications and knowledge of the authors, the development, governance, oversight, and usage of the registry is outlined.

RESULTS

The New Zealand Trauma Network has run a national trauma registry since 2015 and this now contains over fifteen thousand major trauma patient records. Annual reports and a range of research outputs have been published. Key quality improvement initiatives have been undertaken and are described. Vulnerabilities include lack of longterm funding and a small workforce.

CONCLUSIONS

The NZTR has proven to be a critical component of trauma quality improvement in New Zealand. A user-friendly portal and a simple minimum dataset have been keys to successes but maintenance of an effective structure in a constrained healthcare system is a challenge.

Transmission of Bias in the Medical Record Among Physical Medicine and Rehabilitation Trainees

ABSTRACT

Stigmatizing language can negatively influence providers' attitudes and care toward patients, but this has not been studied among physiatrists. An online survey was created to assess whether stigmatizing language can impact physical medicine and rehabilitation trainees' attitudes toward patients. We hypothesized stigmatizing language would negatively impact trainees' attitudes. Participants were randomized to a stigmatizing or neutral language vignette describing the same hypothetical spinal cord injury patient. Questions were asked about attitudes and assumptions toward the patient, pain management based on the vignette, and general views regarding individuals with disabilities. Between August 2021 and January 2022, 75 US physical medicine and rehabilitation residency trainees participated. Thirty-seven (49.3%) identified as women; 52 (69.3%) were White, and half (50.6%) received the stigmatized vignette. Participants exposed to stigmatizing language scored 4.8 points lower ( P < 0.01) on the provider attitude toward patient scale compared with those exposed to neutral language. There were no significant differences in the disability attitude scores between the two groups ( P = 0.81). These findings may indicate that stigmatizing language in the medical record may negatively affect physical medicine and rehabilitation trainees' attitudes toward patients. Further exploration is needed to identify the best way to educate trainees and reduce the propagation of bias in the medical record.

Use of GPT-4 to Analyze Medical Records of Patients With Extensive Investigations and Delayed Diagnosis

This case series investigates whether analysis of clinical history via a language model system improves diagnostic accuracy in patients with complex and delayed diagnoses.

Comparing rates of adverse events detected in incident reporting and the Global Trigger Tool: a systematic review

Many hospitals continue to use incident reporting systems (IRSs) as their primary patient safety data source. The information IRSs collect on the frequency of harm to patients [adverse events (AEs)] is generally of poor quality, and some incident types (e.g. diagnostic errors) are under-reported. Other methods of collecting patient safety information using medical record review, such as the Global Trigger Tool (GTT), have been developed. The aim of this study was to undertake a systematic review to empirically quantify the gap between the percentage of AEs detected using the GTT to those that are also detected via IRSs. The review was conducted in adherence to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. Studies published in English, which collected AE data using the GTT and IRSs, were included. In total, 14 studies met the inclusion criteria. All studies were undertaken in hospitals and were published between 2006 and 2022. The studies were conducted in six countries, mainly in the USA (nine studies). Studies reviewed 22 589 medical records using the GTT across 107 institutions finding 7166 AEs. The percentage of AEs detected using the GTT that were also detected in corresponding IRSs ranged from 0% to 37.4% with an average of 7.0% (SD 9.1; median 3.9 and IQR 5.2). Twelve of the fourteen studies found <10% of the AEs detected using the GTT were also found in corresponding IRSs. The >10-fold gap between the detection rates of the GTT and IRSs is strong evidence that the rate of AEs collected in IRSs in hospitals should not be used to measure or as a proxy for the level of safety of a hospital. IRSs should be recognized for their strengths which are to detect rare, serious, and new incident types and to enable analysis of contributing and contextual factors to develop preventive and corrective strategies. Health systems should use multiple patient safety data sources to prioritize interventions and promote a cycle of action and improvement based on data rather than merely just collecting and analysing information.

Quality Control for Spine Registries: Development and Application of a New Protocol

Registries are gaining importance both in clinical practice and for research purposes. However, quality control is paramount to ensure that data are consistent and reliable. Quality control protocols have been proposed for arthroplasty registries, but these are not directly applicable to the spine setting. This study aims to develop a new quality control protocol for spine registries. Based on the available protocols for arthroplasty registries, a new protocol for spine registries was developed. The items included in the protocol were completeness (yearly enrollment rate and rate of assessment completion), consistency, and internal validity (coherence between registry data and medical records for blood loss, body mass index, and treated levels). All aspects were then applied to the spine registry of the Institution to verify its quality for each of the 5 years in which the registry has been used (2016-2020). Regarding completeness, the yearly enrollment rate ranged from 78 to 86%; the completion of preoperative assessment from 79% to 100%. The yearly consistency rate varied from 83% to 86%. Considering internal validity, the interclass correlation coefficient ranged from 0.1 to 0.8 for blood loss and from 0.3 to 0.9 for body mass index. The coherency for treated levels ranged from 25% to 82%. Overall, all 3 items showed an improvement over time. All 3 analyzed domains showed good to excellent results. The overall quality of the registered data improved over time.

Machine learning-based natural language processing to extract PD-L1 expression levels from clinical notes

Introduction: PD-L1 expression is used to determine oncology patients' response to and eligibility for immunologic treatments; however, PD-L1 expression status often only exists in unstructured clinical notes, limiting ability to use it in population-level studies. Methods: We developed and evaluated a machine learning based natural language processing (NLP) tool to extract PD-L1 expression values from the nationwide Veterans Affairs electronic health record system. Results: The model demonstrated strong evaluation performance across multiple levels of label granularity. Mean precision of the overall PD-L1 positive label was 0.859 (sd, 0.039), recall 0.994 (sd, 0.013), and F1 0.921 (0.024). When a numeric PD-L1 value was identified, the mean absolute error of the value was 0.537 on a scale of 0 to 100. Conclusion: We presented an accurate NLP method for deriving PD-L1 status from clinical notes. By reducing the time and manual effort needed to review medical records, our work will enable future population-level studies in cancer immunotherapy.

Bicyclist crashes with cars and SUVs: Injury severity and risk factors

OBJECTIVE

The popularity of bicycle travel has increased in recent years alongside a comparable increase in the risk of injury or death for those cyclists. The current study was conducted to investigate the differences in injury outcomes between bicyclists struck by SUVs and those struck by cars and to uncover the mechanisms behind injury patterns that have been observed in past research.

METHODS

We analyzed 71 single-vehicle crashes from the Vulnerable Road User Injury Prevention Alliance pedestrian crash database, focusing on crashes involving an SUV or car. Each crash from this database included an in-depth analysis of police reports, bicyclist medical records, crash reconstructions, and injury attribution by a panel of experts.

RESULTS

Bicyclist injuries from crashes with SUVs were more severe than those from crashes with cars, particularly with respect to head injuries. The greater injury severity associated with SUVs was related to these vehicles' tendency to produce injuries from ground contact or from vehicle components near the ground. In contrast, cars were much less likely to produce ground injuries and instead tended to distribute less severe injuries across multiple vehicle components.

CONCLUSIONS

The pattern of results suggest that the size and shape of SUV front ends are responsible for the differences in bicyclist injury outcomes. In particular, we found that SUV crashes inflicted more severe head injuries compared with car crashes and that SUVs were disproportionately likely to throw bicyclists to the ground and run them over.

Diagnostic accuracy of algorithms to define incident and second hip fractures: A Taiwan validation study

BACKGROUND

Previous epidemiological researchers have used various algorithms to identify a second hip fracture; however, there has been no validation of these algorithms to date. This study aimed to verify existing algorithms for identifying second hip fracture under the International Classification of Diseases diagnostic coding systems. Furthermore, we examined the validity of two newly proposed algorithms that integrated the concept of periprosthetic fractures and laterality of the ICD-10 coding system.

METHODS

Claims data of patients hospitalized for hip fracture from National Taiwan University Hospitals between 2007 and 2020 were retrieved. Hip fracture was confirmed by 2 orthopaedic surgeons with medical records and imaging data as gold standards. The validity of 9 existing and 2 newly proposed algorithms for identifying second hip fracture was evaluated.

RESULTS

The positive predictive value (PPV) range between 84% and 90% in existing algorithms for identifying second hip fractures. Noteworthy, the longer time interval for discrimination resulted in slightly increased PPV (from 87% to 90%), while decreased sensitivity noticeably (from 87% to 72%). When considering the information about periprosthetic fracture, the PPV increased to 91% without diminished sensitivity. The PPV of the newly proposed ICD-10-specific algorithm was 100%.

CONCLUSION

Algorithms integrated clinical insights of periprosthetic fractures and laterality concept of ICD-10 coding system provided satisfactory validity and help precisely define second hip fracture in future database research.

The Pediatric Emergency Department Nurse and Gastrostomy Tube Replacement: How Safe Is it?

AIM

To review the outcomes of a nurse-only guideline for replacement of gastrostomy tubes (g-tubes) in a pediatric emergency department (ED) and compare rates of success, failure, length of stay (LOS), and return visits with that of ED physicians.

DESIGN

Nursing g-tube guidelines, created by a nurse educator and nursing council, were instigated on January 31, 2018. Variables examined included LOS, age at visit, return visit within 72 hours, reason for replacement, and any postplacement complications.

REVIEW METHODS

Data of g-tube placement by nurses and physicians were compared using t test or χ 2 analysis (IBM-SPSS version 20, New Orchard Road, Armonk, NY). The institutional review board determined the study to be exempt from human subjects. The STROBE checklist was used and completed accordingly.

DATA SOURCES

Chart abstraction and data were collected from January 1, 2011 through April 13, 2020, and medical records were obtained using International Classification of Diseases, Tenth Revision (ICD-10) codes for g-tubes: Z93.1, K94.23.

RESULTS

A total of 110 patients were included in our study. Fifty-eight underwent nursing-only replacements; 52 were replaced by physicians. Nurse replacement success rate was 98.3% with an average stay of 22 minutes. Physician success rate was 100% with an average stay of 86 minutes. The difference between nursing and physician LOS was 64.6 minutes. No patient in either group experienced postreplacement complications.

CONCLUSIONS

The initiation of nurse-only management of dislodged g-tubes was successful, safe, and had a shorter LOS when compared with physicians in the pediatric ED.

IMPACT

Our study determined the implications of nurse-only replacement of g-tubes in a pediatric ED. We found that nurses replacing g-tubes was equally safe and effective as physician counterparts. In addition, we found that it significantly reduced the LOS for patients, which has consequences on patient satisfaction and billing.

PATIENT/PUBLIC CONTRIBUTION

Nursing staff were trained in g-tube replacement using guidelines created by a nurse educator and nursing council. Patients either had their dislodged g-tubes replaced by the trained nurse or a physician and comparisons on the outcomes were made. Patients were aware of the study and consented to have their medical records accessed to make the data comparisons.

RELEVANCE TO CLINICAL PRACTICE

With more than 189,000 children in the United States relying on g-tubes, nursing staff will inevitably be involved in the care of patients with such a device. In addition, as pediatric EDs continue to develop longer and longer waiting times, we must learn how to better use our nursing staff for procedures within their scope and minimize LOS. Our research demonstrates the safety, feasibility, and general benefits of having the pediatric nursing staff replace g-tubes in the ED, and it is hoped that this will lead to beneficial policy changes.

WHAT DOES THIS ARTICLE CONTRIBUTE TO THE WIDER GLOBAL COMMUNITY

   - Demonstrates the safety and effectiveness of nurse-only g-tube replacement- Reports on the statistically significant difference in LOS between physician and nurse replacement of g-tubes in a pediatric ED- Has the ability to lead to policy change in the pediatric ED that will allow for greater patient satisfaction and decrease patient cost.

Evaluation of Influence of Arthroscopy on the Range of Mandibular Movements Based on Medical Records

The Temporomandibular Joint Dysfunction Syndrome (TJDS) is a group of pathologies that affect the temporomandibular joint, mastication muscles, and attached structures, 1 of the leading causes of orofacial pain. Arthroscopy is a technique used as a method of treatment for TJSD. This was a retrospective cohort study, and data were collected from the medical records of patients with TJDS. The diagnosis of TJDS was established based on computed tomography and nuclear magnetic resonance imaging tests, and clinical examination. All patients, who underwent arthroscopy, were operated on by the same surgeon in 2020. The variables analyzed in this study were: maximum mouth opening, laterality, and protrusion of patients undergoing arthroscopy at time intervals of 30, 90 days, and 6 months after surgery. Data from anamnesis of the medical records and findings on clinical examination were used to verify whether there was any correlation with good postoperative evolution. Afterward, these data were compared and submitted to statistical analysis (Wilcoxon (nonparametric and paired) and Mann-Whitney (nonparametric, unpaired) tests) to verify the degree of correlation between them. It could be concluded that in this sample, arthroscopy reduced the degree of pain in patients, increased mouth opening amplitude, and did not influence laterality and protrusion. The use of previous medication was correlated with a slight decrease in postoperative pain; patients who had undergone previous orthodontic treatment showed better results regarding maximum mouth opening without pain; patients who had previously felt pain on professional palpation had greater maximum mouth opening with and without pain after arthroscopy, and patients with noise at professional auscultation had greater maximum mouth opening without pain. Further studies should be conducted, with larger samples, associated with complementary exams (computed tomography and nuclear magnetic resonance) before and after arthroscopy.

Predictors of Relapses or Recurrences in Patients With Giant Cell Arteritis: A Medical Records Review Study

OBJECTIVE

Giant cell arteritis (GCA) is the most common systemic vasculitis in individuals aged ≥50 years. Its course is marked by a high relapse rate requiring long-term glucocorticoid use with its inherent adverse effects. We aimed to identify factors associated with relapses or recurrences in GCA at diagnosis.

METHODS

We reviewed the medical records of consecutive patients with GCA diagnosed between 2009 and 2019 and followed for at least 12 months. We recorded their characteristics at onset and during follow-up. Factors associated with relapses or recurrences were identified using multivariable analysis.

RESULTS

We included 153 patients, among whom 68% were female with a median age of 73 (47-98) years and a median follow-up of 32 (12-142) months. Seventy-four patients (48.4%) had at least 1 relapse or recurrence. Headache and polymyalgia rheumatica were the most frequent manifestations of relapses. The first relapse occurred at a median time of 13 months after the diagnosis, with a median dose of 5.5 (0-25) mg/d of glucocorticoids.In multivariable analysis, patients with relapses or recurrences had a higher frequency of cough and scalp tenderness at diagnosis (20.3% vs 5.1%; odds ratio [OR], 4.73; 95% confidence interval [CI], 1.25-17.94; p = 0.022; and 41.9% vs 29.1%; OR, 2.4; 95% CI, 1.07-5.39; p = 0.034, respectively). Patients with diabetes mellitus at diagnosis had fewer relapses or recurrences during follow-up (5.4% vs 19%; OR, 0.24; 95% CI, 0.07-0.83; p = 0.024).

CONCLUSIONS

Cough and scalp tenderness at diagnosis were associated with relapses or recurrences, whereas patients with diabetes experienced fewer relapses or recurrences.

The effect of refresher training on fact description in medical incident report writing in the Japanese language

To maintain the effectiveness of the training (1st-Training Session: 1st-TS) to accurate describe facts in the medical incident reports (IRs) in Japanese, a refresher TS was designed and its effectiveness was examined. First, textual analysis showed that IRs' accuracy significantly decreased six months after the 1st-TS. Based on this result, the refresher TS was designed and conducted with 64 residents. To verify the refresher TS' effectiveness, IRs after the 1st-TS, six months later, and after the refresher TS were compared via text analysis. The results showed that the refresher TS restored the description rate of patient's background, safety check procedures, original work procedures, information on equipment used, reporter's actions, and post-incident response. The questionnaire was also administered and showed that the refresher TS contributed to residents' motivation to learn about IRs. In conclusion, the refresher TS contributed to sustaining the effect of the 1st-TS on accurately describing IRs.

Identifying and Validating Pediatric Hospitalizations for MIS-C Through Administrative Data

BACKGROUND

Individual children's hospitals care for a small number of patients with multisystem inflammatory syndrome in children (MIS-C). Administrative databases offer an opportunity to conduct generalizable research; however, identifying patients with MIS-C is challenging.

METHODS

We developed and validated algorithms to identify MIS-C hospitalizations in administrative databases. We developed 10 approaches using diagnostic codes and medication billing data and applied them to the Pediatric Health Information System from January 2020 to August 2021. We reviewed medical records at 7 geographically diverse hospitals to compare potential cases of MIS-C identified by algorithms to each participating hospital's list of patients with MIS-C (used for public health reporting).

RESULTS

The sites had 245 hospitalizations for MIS-C in 2020 and 358 additional MIS-C hospitalizations through August 2021. One algorithm for the identification of cases in 2020 had a sensitivity of 82%, a low false positive rate of 22%, and a positive predictive value (PPV) of 78%. For hospitalizations in 2021, the sensitivity of the MIS-C diagnosis code was 98% with 84% PPV.

CONCLUSION

We developed high-sensitivity algorithms to use for epidemiologic research and high-PPV algorithms for comparative effectiveness research. Accurate algorithms to identify MIS-C hospitalizations can facilitate important research for understanding this novel entity as it evolves during new waves.

Healthy bladder storage and emptying functions in community-dwelling women measured by a 2-day bladder health diary

INTRODUCTION

The prevalence of healthy bladder storage and emptying function in community-dwelling women is not well established.

METHODS

A planned secondary analysis of a US cross-sectional study designed to validate a bladder health instrument was conducted in women aged ≥18 years. A subset was invited to complete the novel 2-day bladder health diary capturing bladder storage and emptying experiences. Overall healthy bladder function was defined as ≤8 waking/daytime voids and ≤1 void during sleeping/nighttime; along with the absence of leakage, urgency, emptying difficulties (initiation, flow, efficacy, relief of urge sensation) and pain. Descriptive statistics of healthy bladder functions and regression models of factors associated with healthy function are reported.

RESULTS

Of the 383 invited, 237 (62%) eligible women returned complete dairies. Of these, 12% (29/237) met criteria for overall healthy bladder function. Most (96%) denied pain, 74% had healthy daytime and 83% had healthy nighttime voiding frequency, 64% were continent, 36% reported healthy emptying and 30% denied any urgency episodes. Middle income (odds ratio [OR]:95% confidence interval [CI] = 11.4:1.9-67.4 for $75k-$99 999 vs. $25 000-$49 999), Graduate education (4.8:1.4-17) and previously seeking treatment for bladder problems (OR:95%CI = 0.1; 0-0.9) were associated with overall healthy function.

CONCLUSION

The prevalence of overall healthy bladder function was very low based on our strict definition of health as measured on a 2-day diary. However, most women had healthy voiding frequency and denied pain or urinary leakage. Postvoid dribbling and urgency most commonly contributed to an overall unhealthy bladder. Further investigation is needed to determine whether these diary derived measures are meaningful for patient-oriented bladder health research.

Recording type 2 diabetes mellitus in a standardised central Saudi database: a retrospective validation study

OBJECTIVES

This study was conducted to assess the validity of recording (and the original diagnostic practice) of type 2 diabetes mellitus at a hospital whose records were integrated to a centralised database (the standardised common data model (CDM) of the Saudi National Pharmacoepidemiologic Database (NPED)).

DESIGN

A retrospective single-centre validation study.

SETTINGS

Data of the study participants were extracted from the CDM of the NPED (only records of one tertiary care hospital were integrated at the time of the study) between 1 January 2013 and 1 July 2018.

PARTICIPANTS

A random sample of patients with type 2 diabetes mellitus (≥18 years old and with a code of type 2 diabetes mellitus) matched with a control group (patients without diabetes) based on age and sex.

OUTCOME MEASURES

The standardised coding of type 2 diabetes in the CDM was validated by comparing the presence of diabetes in the CDM versus the original electronic records at the hospital, the recording in paper-based medical records, and the physician re-assessment of diabetes in the included cases and controls, respectively. Sensitivity, specificity, positive predictive value and negative predictive value were estimated for each pairwise comparison using RStudio V.1.4.1103.

RESULTS

A total of 437 random sample of patients with type 2 diabetes mellitus was identified and matched with 437 controls. Only 190 of 437 (43.0%) had paper-based medical records. All estimates were above 90% except for sensitivity and specificity of CDM versus paper-based records (54%; 95% CI 47% to 61% and 68%; 95% CI 62% to 73%, respectively).

CONCLUSIONS

This study provided an assessment to the extent of which only type 2 diabetes mellitus code can be used to identify patients with this disease at a Saudi centralised database. A future multi-centre study would help adding more emphasis to the study findings.

Change in glottic view during intubation using a KoMAC videolaryngoscope: A retrospective analysis

Intubation with videolaryngoscopy has become popular in various clinical settings. However, despite the use of a videolaryngoscope, difficult intubation still exists and intubation failure has been reported. This retrospective study assessed the efficacy of the 2 maneuvers in improving the glottic view during videolaryngoscopic intubation. The medical records of patients who underwent videolaryngoscopic intubation and whose glottal images were stored in electronic medical charts were reviewed. The videolaryngoscopic images were divided into 3 categories according to the applied optimization techniques as follows: conventional method, with the blade tip located in the vallecular; backward-upward-rightward pressure (BURP) maneuver; and epiglottis lifting maneuver. Four independent anesthesiologists scored the visualization of the vocal folds using the percentage of glottic opening (POGO, 0-100%) scoring system. A total of 128 patients with 3 laryngeal images were analyzed. The glottic view was the most improved in the epiglottis lifting maneuver among all the techniques. The median POGO scores were 11.3, 36.9, and 63.1 in the conventional method, BURP, and epiglottis lifting maneuver, respectively (P < .001). There were significant differences in the distribution of POGO grades according to the application of BURP and epiglottis lifting maneuvers. In the POGO grades 3 and 4 subgroups, the epiglottis lifting maneuver was more effective than the BURP maneuver in improving the POGO score Inadequate visualization of the vocal folds occurred even when intubation was performed using a videolaryngoscope. The application of optimization maneuvers, such as BURP and epiglottis lifting by the blade tip, could improve the glottic view.

Development and validation of medical record-based logistic regression and machine learning models to diagnose diabetic retinopathy

PURPOSES

Many factors were reported to be associated with diabetic retinopathy (DR); however, their contributions remained unclear. We aimed to evaluate the prognostic and diagnostic accuracy of logistic regression and three machine learning models based on various medical records.

METHODS

This was a cross-sectional study. We investigated the prevalence and associations of DR among 757 participants aged 40 years or older in the 2005-2006 National Health and Nutrition Examination Survey (NHANES). We trained the models to predict if the participants had DR with 15 predictor variables. Area under the receiver operating characteristic (AUROC) and mean squared error (MSE) of each algorithm were compared in the external validation dataset using a replicate cohort from NHANES 2007-2008.

RESULTS

Among the 757 participants, 53 (7.00%) subjects had DR, the mean (standard deviation, SD) age was 57.7 (13.04), and 78.0% were male (n = 42). Logistic regression revealed that female gender (OR = 4.130, 95% CI: 1.820-9.380; P < 0.05), HbA1c (OR = 1.665, 95% CI: 1.197-2.317; P < 0.05), serum creatine level (OR = 2.952, 95% CI: 1.274-6.851; P < 0.05), and eGFR level (OR = 1.009, 95% CI: 1.000-1.014, P < 0.05) increased the risk of DR. The average performance obtained from internal validation was similar in all models (AUROC ≥ 0.945), and k-nearest neighbors (KNN) had the highest value with an AUROC of 0.984. In external validation, they remained robust or with modest reductions in discrimination with AUROC still ≥ 0.902, and KNN also performed the best with an AUROC of 0.982. Both logistic regression and machine learning models had good performance in the clinical diagnosis of DR.

CONCLUSIONS

This study highlights the utility of comparing traditional logistic regression to machine learning models. We found that logistic regression performed as well as optimized machine learning methods when classifying DR patients.

Personalized hypertension treatment recommendations by a data-driven model

BACKGROUND

Hypertension is a prevalent cardiovascular disease with severe longer-term implications. Conventional management based on clinical guidelines does not facilitate personalized treatment that accounts for a richer set of patient characteristics.

METHODS

Records from 1/1/2012 to 1/1/2020 at the Boston Medical Center were used, selecting patients with either a hypertension diagnosis or meeting diagnostic criteria (≥ 130 mmHg systolic or ≥ 90 mmHg diastolic, n = 42,752). Models were developed to recommend a class of antihypertensive medications for each patient based on their characteristics. Regression immunized against outliers was combined with a nearest neighbor approach to associate with each patient an affinity group of other patients. This group was then used to make predictions of future Systolic Blood Pressure (SBP) under each prescription type. For each patient, we leveraged these predictions to select the class of medication that minimized their future predicted SBP.

RESULTS

The proposed model, built with a distributionally robust learning procedure, leads to a reduction of 14.28 mmHg in SBP, on average. This reduction is 70.30% larger than the reduction achieved by the standard-of-care and 7.08% better than the corresponding reduction achieved by the 2nd best model which uses ordinary least squares regression. All derived models outperform following the previous prescription or the current ground truth prescription in the record. We randomly sampled and manually reviewed 350 patient records; 87.71% of these model-generated prescription recommendations passed a sanity check by clinicians.

CONCLUSION

Our data-driven approach for personalized hypertension treatment yielded significant improvement compared to the standard-of-care. The model implied potential benefits of computationally deprescribing and can support situations with clinical equipoise.

Digitalisation Medical Records: Improving Efficiency and Reducing Burnout in Healthcare

(1) Background: electronic medical record (EMR) systems remain a significant priority for the improvement of healthcare services. However, their implementation may have resulted in a burden on healthcare workers (HCWs). This study aimed to determine the prevalence of burnout symptoms among HCWs who use EMRs at their workplace, as well as burnout-associated factors. (2) Methods: an analytical cross-sectional study was conducted at six public health clinics equipped with an electronic medical record system. The respondents were from a heterogeneity of job descriptions. Consent was obtained before enrolment into the study. A questionnaire was distributed through an online platform. Ethical approval was secured. (3) Results: a total of 161 respondents were included in the final analysis, accounting for a 90.0% response rate. The prevalence of burnout symptoms was 10.7% (n = 17). Three significant predictors were obtained in the final model: experiencing ineffective screen layouts and navigation systems, experiencing physical or verbal abuse by patients, and having a poor relationship with colleagues. (4) Conclusions: the prevalence of burnout symptoms among healthcare workers working with electronic medical record systems was low. Despite several limitations and barriers to implementation, a paradigm shift is needed to equip all health sectors with electronic medical record systems to improve healthcare service delivery. Continuous technical support and financial resources are important to ensure a smooth transition and integration.

Characteristics of Individuals in the United States Who Used Opioids During Pregnancy

Background: Opioid use has disproportionally impacted pregnant people and their fetuses. Previous studies describing opioid use among pregnant people are limited by geographic location, type of medical coverage, and small sample size. We described characteristics of a large, diverse group of pregnant people who were enrolled in the Environmental Influences on Child Health Outcomes (ECHO) Program, and determined which characteristics were associated with opioid use during pregnancy. Materials and Methods: Cross-sectional data obtained from 21,905 pregnancies of individuals across the United States enrolled in the ECHO between 1990 and 2021 were analyzed. Medical records, laboratory testing, and self-report were used to determine opioid-exposed pregnancies. Multiple imputation methods using fully conditional specification with a discriminant function accounted for missing characteristics data. Results: Opioid use was present in 2.8% (n = 591) of pregnancies. The majority of people who used opioids in pregnancy were non-Hispanic White (67%) and had at least some college education (69%). Those who used opioids reported high rates of alcohol use (32%) and tobacco use (39%) during the pregnancy; although data were incomplete, only 5% reported heroin use and 86% of opioid use originated from a prescription. After adjustment, non-Hispanic White race, pregnancy during the years 2010-2012, higher parity, tobacco use, and use of illegal drugs during pregnancy were each significantly associated with opioid use during pregnancy. In addition, maternal depression was associated with increased odds of opioid use during pregnancy by more than two-fold (adjusted odds ratio 2.42, 95% confidence interval: 1.95-3.01). Conclusions: In this large study of pregnancies from across the United States, we found several factors that were associated with opioid use among pregnant people. Further studies examining screening for depression and polysubstance use may be useful for targeted interventions to prevent detrimental opioid use during pregnancy, while further elucidation of the reasons for use of prescription opioids during pregnancy should be further explored.

Sentiment analysis of medical record notes for lung cancer patients at the Department of Veterans Affairs

Natural language processing of medical records offers tremendous potential to improve the patient experience. Sentiment analysis of clinical notes has been performed with mixed results, often highlighting the issue that dictionary ratings are not domain specific. Here, for the first time, we re-calibrate the labMT sentiment dictionary on 3.5M clinical notes describing 10,000 patients diagnosed with lung cancer at the Department of Veterans Affairs. The sentiment score of notes was calculated for two years after date of diagnosis and evaluated against a lab test (platelet count) and a combination of data points (treatments). We found that the oncology specific labMT dictionary, after re-calibration for the clinical oncology domain, produces a promising signal in notes that can be detected based on a comparative analysis to the aforementioned parameters.

Assessing Completeness of Cancer Treatment Data from an Academic Medical Center's Tumor Registry Through Comparison to the Central Registry

Background

Researchers often rely on hospital tumor registry data to provide comprehensive cancer therapy information. The purpose of this study was to determine the completeness of treatment information found in the abstracted records of patients seen at an academic medical center located in a rural Midwestern state.

Approach

The cohort included 846 Iowa residents diagnosed with a single malignant tumor of the female breast, colon/rectum, lung, pancreas, or prostate in 2017-2018 with an abstract recorded by the academic medical center and at least 1 other hospital. Treatment/no treatment agreement between the academic medical center's abstract and the central registry's consolidated abstract was examined for the following summary variables of the North American Association of Central Cancer Registries (NAACCR): surgery of the primary site, chemotherapy, radiation therapy, immunotherapy, and hormone therapy. Treatment summary variables from the academic medical center abstract that agreed with the corresponding variables from the central registry abstract were classified as concordant. The proportion of concordance for each treatment modality was the outcome measure, and 95% confidence intervals were calculated with the Agresti-Coull method. Concordance was also examined at the specific treatment level.

Results

There was high concordance between the treatment information recorded in the academic medical center and the central registry records. The average proportion of treatment/no treatment agreement across all treatment modalities and cancer sites was 0.97 (SD, 0.02). Concordance remained high even when examining specific treatments (average concordance, 0.95; SD, 0.04). The lowest treatment/no treatment concordance proportion was 0.92 (95% CI, 0.86-0.96) for chemotherapeutic treatment of pancreatic cancer. We also found that the academic medical center's summary variables captured most treatments given at other facilities, ranging from 74.4% capture of immunotherapy to 88.2% capture of surgery of the primary site.

Conclusions

These results indicate that NAACCR-formatted, summary variables from the academic medical center's tumor registry are likely to provide comprehensive treatment information for those individuals diagnosed or treated in this setting. Analyses of either the academic medical record registry records or consolidated records from the central registry should yield similar results. Future research should establish whether similar findings are obtained at other medical centers.

A retrospective cohort study evaluating the improvement of medical records management based on whole-process control

BACKGROUND

Whole-process management is a novel approach widely applied in industry and commerce; however, it is not widely used in the management of medical records in hospitals.

OBJECTIVE

The purpose of this study is to investigate the application of whole-process control in the administration of a hospital's medical records department to achieve refined management of medical records.

METHODS

Whole-process control is a management measure that begins with process conception and implementation and includes control over all processes. The control group included medical records that were created prior to the implementation of whole-process control, i.e., those created between June 1 and December 31, 2020. The observation group included medical records that were created after the implementation of whole-process control. The behavior of the medical records staff (in terms of medical record collection, sorting, entry, inquiry, and supply) and the final quality of the medical records (the number of grade-A medical records and their front-page quality) were compared between the two groups, and subjective judgments related to staff satisfaction were reviewed.

RESULTS

The implementation of whole-process control improved the behavior of the medical records staff. The final quality of the medical records was also improved, as was the job satisfaction of the medical records staff.

CONCLUSION

Implementing whole-process control improved the management of medical records and quality of medical records.

Medical records as screening tools for child death review in Japan

BACKGROUND

Although many child death review (CDR) systems have been developed in Japan, the optimal system is still being identified. The aim of this study is to identify the etiologies of child deaths and to propose a screening method for initiating the CDR process in Japan.

METHODS

Clinical medical records (CMRs) in hospitals and autopsy records were surveyed for cases of deaths of children aged less than 15 years between 2014 and 2016 in Aichi Prefecture, Japan. The data were analyzed in three steps, and the findings were compared with the vital statistics.

RESULTS

Of the 695 children whose death certificates were submitted to Aichi Prefecture, 590 could be traced to pediatric care hospitals. The distribution of causes of death was slightly different from the vital statistics, with 11.5% dying of extrinsic causes and 19.7% dying of unknown causes. Maltreatment was suspected in 64 cases, which was much higher than that in government statistics. Overall, 158 (26.8%) deaths were considered preventable. The number of unnatural deaths, which might be screened in, was calculated as 172 (29.2%) in the vital statistics, whereas the survey of CMRs revealed that 241 (40.8%) to 282 (47.8%) should be screened in.

CONCLUSIONS

Surveying CMRs in hospitals may be a suitable method to detect and screen deaths to start the CDR process in Japan.

Developing an operational definition of housing instability and homelessness in Veterans Health Administration's medical records

The main objective of this study was to examine how homelessness and housing instability is captured across data sources in the Veterans Health Administration (VHA). Data from 2021 were extracted from three data repositories, including the Corporate Data Warehouse (CDW), the Homeless Operations Management System (HOMES), and the Homeless Management Information System (HMIS). Using these three data sources, we identified the number of homeless and unstably housed veterans across a variety of indicators. The results showed that the use of diagnostic codes and clinic stop codes identified a large number of homeless and unstably housed veterans, but the use of HOMES and HMIS data identified additional homeless and unstably housed veterans to provide a complete count. A total of 290,431 unique veterans were identified as experiencing homelessness or housing instability in 2021 and there was regional variability in how homelessness and housing stability were captured across data sources, supporting the need for more uniform ways to operationalize these conditions. Together, these findings highlight the and encourage use of all available indicators and data sources to identify homelessness and housing instability in VHA. These methodologies applied to the largest healthcare system in the U.S. demonstrate their utility and possibilities for other healthcare systems. Transparent practices about data sources and indicators used to capture homelessness and housing instability should be shared to increase uniform use.

[Not Available]

INTRODUCTION

The use of abbreviations in patient records in Danish hospitals is extensive. The purpose of this study was to investigate the use of abbreviations, how they affect the comprehension, and how much time was saved writing abbreviations.

METHODS

The study consisted of four sub-studies. First, a prospective collection of abbreviations from patient records. From these, three sentences were constructed and used in the other three sub-studies: a questionnaire for doctors concerning the use of abbreviations, an evaluation of time used to understand abbreviated versus non-abbreviated sentences, and a theoretical analysis of time saved by reducing the number of written characters.

RESULTS

We found several abbreviations with multiple meanings. Writing a sentence with abbreviations saved 20 seconds. Comprehension of an abbreviated sentence took an extra 12-85 seconds. There was no difference in comprehension of abbreviations based on medical experience. Finally, data showed that neurologists' self-rated comprehension of complicated abbreviated sentences was very good.

DISCUSSION

Numerous abbreviations were used in Danish patient records, many which could not be looked up. The use of abbreviations in patient records might not live up to the Danish record-keeping order, and we proposed four solutions to overcome the problem: more bureaucracy and administration; embrace and expand use of abbreviations; introduction of artificial intelligence to interpret abbreviations; or usage of speech recognition software in all Danish hospitals.

FUNDING

none.

TRIAL REGISTRATION

none.

Causal inference in medical records and complementary systems pharmacology for metformin drug repurposing towards dementia

Metformin, a diabetes drug with anti-aging cellular responses, has complex actions that may alter dementia onset. Mixed results are emerging from prior observational studies. To address this complexity, we deploy a causal inference approach accounting for the competing risk of death in emulated clinical trials using two distinct electronic health record systems. In intention-to-treat analyses, metformin use associates with lower hazard of all-cause mortality and lower cause-specific hazard of dementia onset, after accounting for prolonged survival, relative to sulfonylureas. In parallel systems pharmacology studies, the expression of two AD-related proteins, APOE and SPP1, was suppressed by pharmacologic concentrations of metformin in differentiated human neural cells, relative to a sulfonylurea. Together, our findings suggest that metformin might reduce the risk of dementia in diabetes patients through mechanisms beyond glycemic control, and that SPP1 is a candidate biomarker for metformin's action in the brain.

Application of DRGs in hospital medical record management and its impact on service quality

BACKGROUND

To explore the application of diagnosis-related groups (DRGs) in hospital medical record management and the impact on service quality.

OBJECTIVE

This study introduced DGRs management into hospital medical record management in order to improve the quality of hospital medical record management.

METHOD

The medical record management of our hospital was analysed retrospectively between August 2020 and April 2021. A total of 7263 cases without DRG management before January 2021 were included in a control group, and 7922 cases with DRG management after January 2021 were included in a study group. The error rate of medical records, the specific error items and the scores of service capability, service efficiency and service quality were compared along with the comprehensive scores of the two groups.

RESULTS

The error rate of medical records in the study group was significantly lower than that in the control group (19.35% vs. 31.24%, P < 0.05). The error rates in terms of diagnosis on admission, surgical procedures, main diagnosis and other diagnoses in the study group were significantly lower than those in the control group. The scores for service ability, service efficiency and service quality were significantly higher in the study group than in the control group (P < 0.05). The comprehensive evaluation score of the study group was significantly higher than that of the control group (P < 0.01).

CONCLUSION

Applying DRGs in the hospital medical record management can effectively reduce the error rate of medical records and improve the quality of hospital services.

Agreement Between Pregnant Individuals' Self-Report of Coronavirus Disease 2019 (COVID-19) Vaccination and Medical Record Documentation

For public health research such as vaccine uptake or effectiveness assessments, self-reported coronavirus disease 2019 (COVID-19) vaccination status may be a more efficient measure than verifying vaccination status from medical records if agreement between sources is high. We assessed agreement between self-reported and medical record-documented COVID-19 vaccination status among pregnant individuals followed in a cohort during August 2020-October 2021. At end of pregnancy, participants completed questionnaires about COVID-19 vaccine receipt during pregnancy; staff verified vaccination status using medical records. Agreement was assessed between self-reported and medical record vaccination status using Cohen's kappa. There was high agreement between self-reported and medical record vaccination status (Kappa coefficient=0.94, 95% CI 0.91-0.98), suggesting that self-report may be acceptable for ascertaining COVID-19 vaccination status during pregnancy.

Providing guideline-recommended preventive cardiovascular care to Aboriginal and Torres Strait Islander women: exploring gender differences with a medical record review in primary health care

BACKGROUND

For Aboriginal and Torres Strait Islander women, the premature burden of cardiovascular disease is affecting their capacity to fulfil roles in society, and promote the health and wellbeing of future generations. In Australia, there is limited understanding of the difference in primary preventive cardiovascular care experienced by women, despite knowledge of sex and gender differentials in health profile and receipt of guideline-based acute care. This paper sought to explore the health profile and receipt of assessment and management of cardiovascular risk for Aboriginal and Torres Strait Islander women accessing preventive primary health care, and investigate gender differentials.

METHOD

Records of 1200 current clients, 50% women, aged 18-74years from three Aboriginal Health Services in central and South Australia for the period 7/2018-6/2020 were reviewed.

RESULTS

Twelve percent had documented cardiovascular disease. Compared with men, women with no recorded cardiovascular disease had a greater likelihood of being overweight or obese, a waist circumference indicative of risk, diabetes, and depression. Women were less likely to report being physically active.

CONCLUSIONS

The research concluded that gaps exist in the provision and recording of guideline-recommended primary preventive care regardless of sex. These are stark, given the evident burden.

Biomarkers of chronic kidney disease-mineral bone disorder (CKD-MBD) in the diabetic foot: A medical record review

AIMS

Determine the prevalence and relative risk of having single and combinations of biomarkers of chronic kidney disease-mineral bone disorder (CKD-MBD) syndrome in the diabetic foot from an electronic medical record (EMR) review.

METHODS

Review of 152 patients with one foot radiograph and diagnoses of both diabetes mellitus (DM) and chronic kidney disease (CKD) stages 1-5. Presence/absence of peripheral neuropathy (PN), targeted serum markers, and both pedal vessel calcification (PVC) and buckling ratio (BR) of 2nd and 5th metatarsals from radiographs were recorded. Prevalence of single and combinations of foot biomarkers are reported as count and percentage. Risk ratios (RR) with 95% confidence intervals (95% CI) were calculated to assess risk of foot biomarkers in each stage of CKD-MBD.

RESULTS

Prevalence and RR of PVC, PN, and BR ≥ 3.5 biomarkers, both single and in combination, all increase with progression of CKD. The RR increases to 9.6 (95 % CI: 3, 26; p < 0.001) when all 3 biomarkers present in stage 5.

CONCLUSIONS

PVC, PN, and BR ≥ 3.5 are prognostic biomarkers of CKD-MBD syndrome in the diabetic foot. Recognition of these foot biomarkers may allow earlier interventions to help reduce nontraumatic lower extremity amputation in individuals with diabetic CKD-MBD.

A Retrospective Medical Record Review to Describe Health Status and Cardiovascular Disease Risk Factors of Bus Drivers in South Africa

Cardiovascular disease (CVD) is the leading cause of death globally. The occupational challenges of bus drivers may increase their risk of CVD, including developing obesity, hypertension, and diabetes. We evaluated the medical records of 266 bus drivers visiting an occupational medical practice between 2007 and 2017 in Johannesburg, South Africa, to determine the health status of bus drivers and investigate risk factors for CVD, and their impact on the ability to work. The participants were in majority male (99.3%) with a median age of 41.2 years (IQR 35.2); 23.7% were smokers, and 27.1% consumed alcohol. The median body mass index (BMI) was 26.8 m/kg² (IQR 7.1), with 63.1% of participants having above normal BMI. Smoking, BMI, and hypertension findings were in line with national South African data, but diabetes prevalence was far lower. Undiagnosed hypertension was found in 9.4% of participants, uncontrolled hypertension in 5.6%, and diabetes in 3.0%. Analysis by BMI category found that obesity was significantly associated with increased odds of hypertension. Uncontrolled hypertension was the main reason for being deemed 'unfit to work' (35.3%). Our research highlights the need for more regular screening for hypertension and interventions to address high BMI.

Associations Among Multimorbid Conditions in Hospitalized Middle-aged and Older Adults in China: Statistical Analysis of Medical Records

BACKGROUND

Multimorbidity has become a new challenge for medical systems and public health policy. Understanding the patterns of and associations among multimorbid conditions should be given priority. It may assist with the early detection of multimorbidity and thus improve quality of life in older adults.

OBJECTIVE

This study aims to comprehensively analyze and compare associations among multimorbid conditions by age and sex in a large number of middle-aged and older Chinese adults.

METHODS

Data from the home pages of inpatient medical records in the Shenzhen National Health Information Platform were evaluated. From January 1, 2017, to December 31, 2018, inpatients aged 50 years and older who had been diagnosed with at least one of 40 conditions were included in this study. Their demographic characteristics (age and sex) and inpatient diagnoses were extracted. Association rule mining, Chi-square tests, and decision tree analyses were combined to identify associations between multiple chronic conditions.

RESULTS

In total, 306,264 hospitalized cases with available information on related chronic conditions were included in this study. The prevalence of multimorbidity in the overall population was 76.46%. The combined results of the 3 analyses showed that, in patients aged 50 years to 64 years, lipoprotein metabolism disorder tended to be comorbid with multiple chronic conditions. Gout and lipoprotein metabolism disorder had the strongest association. Among patients aged 65 years or older, there were strong associations between cerebrovascular disease, heart disease, lipoprotein metabolism disorder, and peripheral vascular disease. The strongest associations were observed between senile cataract and glaucoma in men and women. In particular, the association between osteoporosis and malignant tumor was only observed in middle-aged and older men, while the association between anemia and chronic kidney disease was only observed in older women.

CONCLUSIONS

Multimorbidity was prevalent among middle-aged and older Chinese individuals. The results of this comprehensive analysis of 4 age-sex subgroups suggested that associations between particular conditions within the sex and age groups occurred more frequently than expected by random chance. This provides evidence for further research on disease clusters and for health care providers to develop different strategies based on age and sex to improve the early identification and treatment of multimorbidity.

Medication management for patients with hip fracture at a regional hospital and associated primary care units in Norway: a descriptive study based on a survey of clinicians' experience and a review of patient records

OBJECTIVE

Patients with hip fracture are at high risk of medication errors due to a combination of high age, comorbidities, polypharmacy and several care transitions after fracture. The aim was to study medication management tasks concerning patient safety: medication reconciliation, medication review and communication of key medication information in care transitions.

DESIGN

Descriptive study comprising a self-administered clinician survey (MedHipPro-Q) and a retrospective review of hospital medical records of patients with hip fracture.

SETTING

Regional hospital and the associated primary care units (South-Eastern Norway).

PARTICIPANTS

The survey received responses from 253 clinicians, 61 medical doctors and 192 nurses, involved in the medication management of patients with hip fracture, from acute admittance to the regional hospital, through an in-hospital fast track, primary care rehabilitation and back to permanent residence. Respondents' representativeness was unknown, introducing a risk of selection and non-response bias, and extrapolating findings should be done with caution. The patient records review included a random sample of records of patients with hip fracture (n=50).

OUTCOME MEASURES

Medication reconciliation, medication review and communication of medication information from two perspectives: the clinicians' (ie, experiences with medication management) and the practice (ie, documentation of completed medication management).

RESULTS

In the survey, most clinicians stated they performed medication reconciliation (79%) and experienced that patients often arrived without a medication list after care transition (37%). Doctors agreed that more patients would benefit from medication reviews (86%). In the hospital patient records, completed medication reconciliation was documented in most patients (76%). Medication review was documented in 2 of 50 patients (4%). Discharge summary guidelines were followed fully for 3 of 50 patients (6%).

CONCLUSION

Our study revealed a need for improved medication management for patients with hip fracture. Patients were at risk of medication information not being transferred correctly between care settings, and medication reviews seemed to be underused in clinical practice.

[Constructing of clinical thinking of acupuncture and moxibustion, improving the medical record writing ability of standardized training physicians: teaching experience of the standardized training textbook Acupuncture and Moxibustion for national TCM resident physicians]

To explore the methods of cultivating the clinical thinking ability of acupuncture and moxibustion in the standardized training of resident physicians, so as to improve the medical record writing ability of the regular training physicians. The clinical diagnosis and treatment of acupuncture and moxibustion has its own characteristics and can't copy the syndrome differentiation and treatment mode of TCM internal medicine. In the treatment section, Acupuncture and Moxibustion, a standardized training textbook for national TCM resident physicians, takes clinical cases as the breakthrough point and uses the problem as the guide, guides the training physicians to cultivate acupuncture and moxibustion clinical diagnosis and treatment from three aspects: disease diagnosis, syndrome diagnosis, and treatment ideas, forms a complete understanding of the disease, and improves the standardization, logicality and systematicness of medical record writing through repeated practical training.

The positive predictive value of ankle fracture diagnosis in the Danish National Patient Registry

INTRODUCTION

Information on data validity is essential for understanding the precision of studies based on data from the Danish National Patient Registry (DNPR). Thus, the aim of this study was to validate the quality of ankle fracture data in the DNPR.

METHODS

We identified all patients from four hospitals with a surgically treated ankle fracture between 1 January 2018 and 31 December 2018. The positive predictive value (PPV) was estimated for a random sample of 10% of patients with both a relevant ankle fracture diagnosis code and a relevant procedure code, as well as for patients with only a relevant ankle fracture diagnosis code or a relevant ankle fracture procedure code. We collected data from medical records and X-rays. Two consultants independently validated the ankle fracture diagnosis and procedure codes reported to the DNPR.

RESULTS

Among the four centres, 651 patients were identified with both an ankle fracture diagnosis and a procedure code. Among these, data from 65 (10%) patients were extracted for validation. For these patients, the PPV for an ankle fracture was 0.95 (95% confidence interval (CI): 0.88-0.99). The PPV for the diagnosis code was 0.89 (95% CI: 0.79-0.95), and for the procedure code, the PPV was 0.82 (95% CI: 0.70-0.90). For patients with only an ankle fracture diagnosis code or only a surgical procedure code, the PPV for an ankle fracture was 0.77 (95% CI: 0.64-0.87).

CONCLUSION

This study showed that ankle fracture diagnosis and procedure codes registered in the DNPR are of a high quality and thus constitute a valuable data source for research on ankle fractures.

FUNDING

none.

TRIAL REGISTRATION

The Danish Data Protection Agency approved the study (journal number 2015-18/62866).

Side Effects and Complications Associated with Treating Plutonium Intakes: A Retrospective Review of the Medical Records of LANL Employees Treated for Plutonium Intakes, with Supplementary Interviews

ABSTRACT

Anecdotal evidence indicates there may be unpublished physical and psychological events associated with the medical treatment of plutonium intakes. A thorough review was conducted of the medical and bioassay records of current and previous Los Alamos National Laboratory (LANL) employees who had experienced plutonium intakes via wound or inhalation. After finding relatively incomplete information in the medical records, the research team interviewed current LANL employees who had undergone chelation therapy and/or surgical excision. Although the dataset is not large enough to reach statistically significant conclusions, it was observed that adverse events associated with treatment appear to be more frequent and more severe than previously reported.