What do physicians tell laboratories when requesting tests? A multi-method examination of information supplied to the Microbiology laboratory before and after the introduction of electronic ordering

Do vaginal swabs alter empirical clinical management in obstetrics and gynaecology: A retrospective case-series and activity-based costing of the vaginal swab

BACKGROUND

Vaginal swab microbiological testing is commonly performed as routine clinical management for various obstetric and gynaecological presentations. The clinical utility and cost-effectiveness of vaginal swab microscopy, culture and susceptibilities (MCS) in altering empirical management is ill-defined.

AIMS

To describe the clinical use of vaginal swabs in a tertiary women's hospital emergency department (ED), measure the impact of vaginal swabs on altering empirical clinical management, and to determine the economic cost of vaginal swab MCS.

MATERIALS AND METHODS

Retrospective case-series of vaginal swabs collected at a single, tertiary women's ED between January 2021 and July 2021. Symptomatology, clinical diagnosis, test results, and pre-swab and post-swab clinical management were determined upon medical record review. Economic costs of vaginal swab MCS were retrospectively determined via internal accounting records, permitting unit-level activity-based costing.

RESULTS

A total of 660 vaginal swabs from 584 clinical episodes were included. Vulvovaginitis was the most common indication for swab collection (34.5%, 167 samples). Altered empirical management was observed in 9.8% of all swabs (95% CI 7.4-12.2%), with marked variability between clinical indications. Antimicrobial initiation was the most common alteration in management (8.9%, 95% CI 8.7-9.1%). The estimated cost of vaginal swab MCS was $29.71 AUD; labour, consumables and disposal costs accounted for 69.3, 29.8 and 0.9%, respectively.

CONCLUSIONS

The impact of vaginal swab MCS on empirical clinical management is context-specific and variable. The majority of swabs performed do not impact upon empirical management. Antimicrobial initiation is appreciably more common than antimicrobial cessation with vaginal swab results.

Impact of computerised provider order entry on the quality and quantity of clinical information included with investigation requests: an interrupted time series analysis

INTRODUCTION

Relevant clinical information is vital to inform the analytical and interpretative phases of most investigations. The aim of this study is to evaluate the impact of implementation of computerised provider order entry (CPOE), featuring order-specific electronic order entry forms (eOEFs), on the quality and quantity of clinical information included with investigation requests.

METHODS

The CPOE module of a commercially available electronic health record (Cerner Millennium) was implemented at a large, tertiary care centre. The laboratory information management system was interrogated to collect data on specimens sent for microbiological culture 1 year before implementation of CPOE (2018), immediately post implementation (2019) and 6 months post implementation (2020). An interrupted time series analysis was performed, using text mining, to evaluate the quality and quantity of free-text clinical information.

RESULTS

In total, 39 919 specimens were collected from 16 458 patients. eOEFs were used to place 10 071 out of 13 735 orders in 2019 (73.3%), and 9155 out of 12 229 orders in 2020 (74.9%). No clinical details were included with 653 out of 39 919 specimens (1.6%), of which 22 (3.4%) were ordered using eOEFs. The median character count increased from 14 in 2018, to 41 in 2019, and 38 in 2020. An anti-infective agent was specified in 581 out of 13 955 requests (4.2%) in 2018; 5545 out of 13 735 requests (40.4%) in 2019; and 5215 out of 12 229 requests (42.6%) in 2020. Ciprofloxacin or piperacillin-tazobactam (Tazocin) were mentioned in the clinical details included with 421 out of 15 335 urine culture requests (2.7%), of which 406 (96.3%) were ordered using eOEFs. Subsequent detection of in vitro non-susceptibility led to a change in anti-infective therapy for five patients.

CONCLUSIONS

Implementation of CPOE, featuring order-specific eOEFs, significantly and sustainably improves the quality and quantity of clinical information included with investigation requests, resulting in changes to patient management that would not otherwise have occurred.

Antimicrobial resistance in clinical bacterial isolates from horses in the UK

BACKGROUND

Surveillance of antimicrobial resistance (AMR) in horses is important to aid empirical treatment decisions and highlight emerging AMR threats.

OBJECTIVE

To describe the AMR patterns of common groups of bacteria from clinical submissions from horses in the UK during 2018, and to determine how this varies by sample site and type of submitting veterinary practice.

STUDY DESIGN

Prospective observational study.

METHODS

All data on bacterial culture and subsequent antimicrobial susceptibility testing (AST) collected in 2018 from six large equine diagnostic laboratories were included. Resistance patterns were analysed including resistance to 1 or 2 antimicrobial classes, multidrug resistance (MDR), extensively drug resistant (XDR), resistance to highest priority critically important antimicrobials and isolates where there was no readily available treatment for adult horses in the UK. Submitting practices were classified according to whether they treated referral cases or not (first opinion). Comparisons between proportions and resistance for each bacterial group and sample site was performed using Chi-squared (or Fisher's exact test).

RESULTS

A total of 6,018 bacterial isolates from 4,038 diagnostic submissions were included from respiratory (n = 1555), urogenital (n = 1,010), skin/hair/wound/abscess (n = 753), surgical site infection (SSI) /catheter-related-infection (CRI) /orthopaedic infections (n = 347) and unknown/'other' submissions (n = 373). There were 2,711 Gram-negative isolates and 3,307 Gram-positive isolates. Prevalence of MDR for E. coli was 31.7%, Staphylococcus spp. 25.3% and > 25% for the majority of bacterial isolates from SSI/CRI/orthopaedic submissions. For Enterococcus spp. there was no readily available treatment for adult horses in the UK in 30.2% of positive submissions. MDR was significantly higher from referral hospital than first opinion submissions for the majority of pathogens (except Actinobacillus spp. and Pasteurella spp. and β-haemolytic Streptococcus spp.).

MAIN LIMITATIONS

Since culture and susceptibility results are not systematic analyses based on harmonised methods, selection bias could impact the findings.

CONCLUSIONS

Ongoing surveillance is essential to understand emerging patterns of resistance. MDR is high in SSI/CRI/orthopaedic infections, which is important for hospital biosecurity and guiding treatment decisions. Harmonisation of diagnostic procedures and interpretation of results amongst veterinary laboratories will improve AMR surveillance and data comparison among laboratories.

The impact of electronic meal ordering systems on hospital and patient outcomes: A systematic review

BACKGROUND

Malnutrition is a serious clinical issue associated with adverse patient and hospital outcomes. Hospitals need to consider interventions that support the provision of optimal nutritional management and care for patients. Electronic meal ordering (EMO) systems provide an alternative to traditional paper-based meal ordering with the capacity to support appropriate orders, monitor nutritional status, and potentially improve clinical outcomes.

METHODS

This review aimed to identify the impact of EMO systems on hospital and patient outcomes. We sought quantitative evidence (peer-reviewed and grey literature) from studies evaluating EMO systems in healthcare facilities, published after 1999 and available in the English language.

RESULTS

We identified 23 studies evaluating one of three distinct EMO system-supported models: spoken menu, room service, and self-service. While limited, the evidence indicated that EMO systems were associated with: improved patient satisfaction; decreased food waste; increased consumption; and, for spoken menus, more time with patients. There was no substantive evidence of impact on clinical outcomes.

CONCLUSIONS

Whether EMO systems meet their potential to support nutritional monitoring and positively impact clinical outcomes remains unanswered within the evidence. Thus, policy makers and hospital management currently have a poor evidence base upon which to make decisions about the value of implementing EMO. Whether these systems can provide support and guidance to patients during meal ordering, improve order appropriateness and accuracy through compliance checking, identify patients in need of dietary education or those at risk of malnutrition are critical areas of focus for future research.

The impact of automating laboratory request forms on the quality of healthcare services

In recent decades, healthcare organizations have undergone a significant transformation with the integration of Information and Communication Technologies within healthcare operations to improve healthcare services. Various technologies such as Hospital Information Systems (HIS), Electronic Health Records (EHR) and Laboratory Information Systems (LIS) have been incorporated into healthcare services. The aim of this study is to evaluate the completeness of outpatients' laboratory paper based request forms in comparison with a electronic laboratory request system. This study was carried out in the laboratory department at King Abdulaziz Medical City (KAMC), National Guard Health Affairs, Riyadh, Saudi Arabia. We used a sample size calculator for comparing two proportions. We estimated the sample size to be 228 for each group. Any laboratory requests including paper and electronic forms were included. We categorized the clarity of the forms into understandable, readable, and unclear. A total of 57 incomplete paper forms or 25% were identified as being incomplete. For electronic forms, there were no incomplete fields, as all fields were mandatory, therefore, rendering them complete. The total of understandable paper-based laboratory forms was 11.4%. Additionally, it was found that the total of readable was 33.8% and the total for unclear was 54.8%, while for electronic-based forms, there were no unclear forms. Electronic based laboratory forms provide a more complete, accurate, clear, and understandable format than paper-based laboratory records. Based on these findings, KAMC should move toward the implementation of electronic-based laboratory request forms for the outpatient laboratory department.

Management of laboratory data and information exchange in the electronic health record

In the era of the electronic health record, the success of laboratories and pathologists will depend on effective presentation and management of laboratory information, including test orders and results, and effective exchange of data between the laboratory information system and the electronic health record. In this third paper of a series that explores empowerment of pathology in the era of the electronic health record, we review key elements of managing laboratory information within the electronic health record and examine functional issues pertinent to pathologists and laboratories in the exchange of laboratory information between electronic health records and both anatomic and clinical pathology laboratory information systems. Issues with electronic order-entry and results-reporting interfaces are described, and considerations for setting up these interfaces are detailed in tables. The role of the laboratory medical director as mandated by the Clinical Laboratory Improvement Amendments of 1988 and the impacts of discordance between laboratory results and their display in the electronic health record are also discussed.

Reference laboratory utilization management

This chapter describes the unique challenges of managing reference laboratory utilization. The nature of reference laboratory testing and how it differs from routine hospital clinical laboratory testing is discussed. The vast majority of reference laboratory testing is high complexity, low volume testing to support specialized care. In contrast the hospital clinical laboratory is most effective at performing rapid turn-around, routine, high volume testing. The implication of these differences with respect to identifying utilization issues and interventions to manage utilization is presented along with examples.

The effect of electronic ordering on pre-analytical errors in primary care

BACKGROUND

Pre-analytical variables are common across all laboratories and can negatively impact on patient care. The aim of this study was to review the impact of electronic requesting in Primary Care on the number of pre-analytical errors seen by the laboratory.

METHOD

Error data were reviewed during two six-month periods, pre- and post-implementation of Primary Care electronic requesting. The outcome measures related to: the correct information on the sample tube (patient name, unique patient ID number, date of collection); the correct sample received and the availability of a clinical history.

RESULTS

There was a marked decrease in the number of pre-analytical errors following the introduction of electronic requesting (2764 pre-implementation vs. 498 post-implementation, P < 0.001). There was an improvement in the quality of information provided with each request in the forms of clinical history, date and time of sample collection.

CONCLUSIONS

The introduction of electronic requesting in Primary Care can reduce the number of pre-analytical errors and can improve the quality of information received with each request.

Changes, disruption and innovation: An investigation of the introduction of new health information technology in a microbiology laboratory

Background:

It is expected that health information technology (HIT) will deliver a safer, more efficient and effective health care system. The aim of this study was to undertake a qualitative and video-ethnographic examination of the impact of information technologies on work processes in the reception area of a Microbiology Department, to ascertain what changed, how it changed and the impact of the change.

Materials and Methods:

The setting for this study was the microbiology laboratory of a large tertiary hospital in Sydney. The study consisted of qualitative (interview and focus group) data and observation sessions for the period August 2005 to October 2006 along with video footage shot in three sessions covering the original system and the two stages of the Cerner implementation. Data analysis was assisted by NVivo software and process maps were produced from the video footage.

Results:

There were two laboratory information systems observed in the video footage with computerized provider order entry introduced four months later. Process maps highlighted the large number of pre data entry steps with the original system whilst the newer system incorporated many of these steps in to the data entry stage. However, any time saved with the new system was offset by the requirement to complete some data entry of patient information not previously required. Other changes noted included the change of responsibilities for the reception staff and the physical changes required to accommodate the increased activity around the data entry area.

Conclusions:

Implementing a new HIT is always an exciting time for any environment but ensuring that the implementation goes smoothly and with minimal trouble requires the administrator and their team to plan well in advance for staff training, physical layout and possible staff resource reallocation.