Non-therapeutic omission of medications in acutely ill patients

Automated dispensing cabinets and their impact on the rate of omitted and delayed doses: A systematic review

Use of automated dispensing cabinets (ADCs) is increasing in hospital settings. ADCs bring various potential benefits, among which are improvements to patient safety and reduction of medication errors. A core function of ADCs is to prevent medication stock outs by triggering an order when stock is reaching low levels. A quantifiable patient safety measure is the occurrence of omitted or delayed doses, which can range in severity from being negligible, to potentially fatal. The purpose of this review is to identify and synthesise the existing evidence regarding the impact of ADCs situated in secondary and tertiary care inpatient settings, on the rate of omitted and delayed doses as a specific subsection of medication errors. In April 2024 searches were conducted in Embase, PubMed and CINAHL, with additional articles discovered through citation searching and from colleagues. A total of 375 articles were returned from the search. Nine articles met the inclusion criteria. The most common reason for exclusion was due to lack of relevance. The included papers were focused on centres which had implemented six or fewer ADCs. The studies mostly presented findings which suggest ADCs have a positive impact on the rate of omitted or delayed doses, although crucially only two papers correlated missed doses due to unavailability of medications The studies highlighted other factors which should be considered prior to the implementation of ADCs. Factors included staffing requirement, type of stock held in the cabinets, and interoperability with other systems. Studies only reported omitted or missed doses, none reported results on delayed doses. It is widely accepted that ADCs can prevent medication unavailability but there is a paucity of evidence linking the improved availability of medications through the utilisation of ADCs with the perceived impact on missed or delayed doses. Further multi-centre studies are needed to determine this causality.

Evaluation of a Pharmacist-Led Implementation of Standardized Medication Administration Times for Inpatients Receiving Hemodialysis

BACKGROUND

Missed medication doses are a common and often preventable medication-related error that have been associated with an increased length of stay and mortality. Hemodialysis is a common, relatively predictable reason that patients are unavailable, resulting in missed doses.

OBJECTIVE

To evaluate the implications of a pharmacist-led intervention to standardize the medication administration times for patients requiring hemodialysis who were prescribed antihypertensives, antiepileptics, apixaban, and/or antimicrobials.

METHODS

A retrospective preanalysis and postanalysis of a pharmacist-led intervention were performed at a single-center, safety net hospital. Patients receiving dialysis and prescribed one of the targeted medications were included. The primary endpoint was the composite of missed and delayed doses.

RESULTS

A total of 25 patients receiving 126 dialysis sessions in the preintervention group and 29 patients receiving 80 dialysis sessions in the postintervention group were included for analysis. For the primary endpoint, 118 (18%) versus 57 (9.3%) doses were missed or delayed in the preintervention versus postintervention group, respectively (P < 0.001). The primary endpoint was driven by fewer delayed doses in the postgroup. The number of antimicrobials given on a correct schedule increased in the postintervention group (98.3% vs 99.1%, P = 0.044).

CONCLUSION AND RELEVANCE

A pharmacist-led intervention for standard medication administration times in patients requiring hemodialysis increased the number of prescribed medication doses given and given on time. The intervention also led to more antimicrobials administered at appropriate times relative to dialysis sessions.

Outlier or handover: outcomes for General Medicine inpatients

Objective Patients admitted from the emergency department may be co-located on the treating team's 'home ward'. If no bed is available, patients may be sent to another ward, where they may remain under the admitting team as an 'outlier'. Conversely, care may be handed over to the team on whose home ward they are located. We conducted a retrospective analysis to understand the impact of outlier status and handovers of care on outcomes for General Medicine inpatients. Methods General Medicine admissions at the Royal Adelaide Hospital between September 2020 and November 2021 were analysed. We examined the rate of hospital-acquired complications, inpatient mortality rate, mortality within 48 h of admission, Relative Stay Index, time of discharge from hospital and rate of adverse events within 28 days of discharge. Results A total of 3109 admissions were analysed. Handovers within 24 h of admission were associated with a longer length of stay. There was a trend towards higher rates of adverse events within 28 days of discharge with handovers of care. Outlier status did not affect any outcome measures. Conclusions Handovers within the first 24 h of admission are associated with longer than expected length of stay.

Improving the supply of critical medicines from pharmacy to reduce the delay in medicines administration on wards

It is nationally and locally recognised that doses of critical medications are missed or omitted on a daily basis. This has been highlighted by a National Patient Safety Agency alert published in 2010. Since then Sheffield Teaching Hospitals NHS Foundation Trusthas introduced initiatives to tackle this problem, but there are clear indications that further work is still required. The aim of this service improvement project was to improve the availability of critical medications on the ward to ensure they are available thirty minutes prior to the next scheduled dose.Two plan-do-study-act cycles were undertaken over a 14-day period (January/February 2020) to reduce the time taken for critical medications to be supplied to the ward after a request was placed on the eOrdering system, on one care of the elderly ward. Medication request and prescription tracking data were captured during working hours each week (Monday to Sunday) and examined. The time taken for a request to be processed was captured.Following the introduction of a critical medicines checklist in the pharmacy dispensary and later a flow chart on the ward, availability of critical medication on the ward rose from 89% to 93%. However, the project did not meet the project aim of ensuring 95% of critical medications requested were available on the ward.The project highlighted that for sustainable and robust improvement, the electronic prescribing system required improvement rather than change in the work processes of the ward and pharmacy professionals.

Older medical outliers on surgical wards: impact on 6-month outcomes

BACKGROUND

Medical patients are on occasion admitted transiently to surgical wards when more appropriate wards are at capacity, potentially leading to suboptimal care. The aim of this study was to compare 6-month outcomes in older adults diagnosed with medical conditions in the ED then admitted inappropriately to surgical wards (defined as outliers), with outcomes in comparable patients admitted to medical wards (controls).

METHODS

In a matched cohort study, 100 consecutive medical outliers from the ED aged 75 years and over were matched according to age, sex and diagnosis to 200 controls. Collected data included number of diagnoses reported in acute care, level of patient illness severity, length of stay, mortality and destination of patients discharged from acute care units (home, rehabilitation facility, nursing home or palliative care facility). An assessment was made of patient vital status and living environment (home, nursing home or hospital) at 6 months post-ED admission.

RESULTS

Mean age was 85.6 years. The most common ED diagnoses were gait disorders/falls (18%), neurological disorders (17%) and exhaustion (16%). Outliers displayed lower illness severity levels (0.001) and shorter lengths of stay from ED admission to acute care discharge (p=0.040). Subsequent to acute care, outliers were less commonly discharged home (45% vs 59%) and more commonly discharged to rehabilitation facilities (42% vs 28%). At 6 months post-ED admission, multivariable regression analysis showed that outlier status (OR=0.44 (0.25-0.83); p=0.011) and numbers of diagnoses reported in acute care (OR=0.87 (0.76-0.98); p=0.028) were independently associated with lower probability of living at home.

CONCLUSION

Outlying of older patients to surgical wards negatively affects their prospects of living at home at 6 months after hospital admission. Older patients hospitalised via the ED are entitled to appropriate medical care.

Not-for-profit observational study to evaluate the quality and safety of care in <em>outliers</em> hospitalized with medical diseases - Study Protocol of Safety Issues and SurvIval For Medical Outliers (SISIFO study)

The progressive cutting of hospital beds in some health systems, together with the increased needs related to the aging population, has led to the phenomenon of patients hospitalized outside the appropriate ward (outliers). This is particularly relevant in the context of Internal Medicine. Despite its relevance in daily clinical practice, available evidence for the potential impact of this phenomenon is limited. The aim of this study is to evaluate the effects of this situation on patients’ outcomes and possibly identify organizational and managerial aspects related to the presence of outliers. The multicenter, observational, prospective Study Protocol of Safety Issues and SurvIval For Medical Outliers (SISIFO) was promoted by the Italian Federation of Associations of Hospital Doctors on Internal Medicine (FADOI). The primary study endpoint is the evaluation of in-hospital mortality in outliers versus controls. A sample size of 2400 patients has been estimated by assuming a mortality rate of 12% and 8% in outliers and controls, respectively. By virtue of the multicentric dimension, the expected number of patients, and the controlled design, the FADOI-SISIFO study might provide interesting and useful findings to better manage the phenomenon of outliers.

What Quality and Safety of Care for Patients Admitted to Clinically Inappropriate Wards: a Systematic Review

BACKGROUND

In countries with public health system, hospital bed reductions and increasing social and medical frailty have led to the phenomenon of "outliers" or "outlying hospital in-patients." They are often medical patients who, because of unavailability of beds in their clinically appropriate ward, are admitted wherever unoccupied beds are. The present work is aimed to systematically review literature about quality and safety of care for patients admitted to clinically inappropriate wards.

METHODS

We performed a systematic review of studies investigating outliers, published in peer-reviewed journals with no time restrictions. Search and screening were conducted by two independent researchers (MLR and ER). Studies were considered potentially eligible for this systematic review if aimed to assess the quality and/or the safety of care for patients admitted to clinically inappropriate units. Our search was supplemented by a hand search of references of included studies. Given the heterogeneity of studies, results were analyzed thematically. We used PRISMA guidelines to report our findings.

RESULTS

We collected 17 eligible papers and grouped them into six thematic categories. Despite their methodological limits, the included studies show increased trends in mortality and readmissions among outliers. Quality of care and patient safety are compromised as patients and health professionals declare and risk analysis displays. Reported solutions are often multicomponent, stress early discharge but have not been investigated in the control group.

CONCLUSIONS

Published literature cannot definitely conclude on the quality and safety of care for patients admitted to clinically inappropriate wards. As they may represent a serious threat for quality and safety, and moreover often neglected and under valued, well-designed and powered prospective studies are urgently needed.

Prevalence, nature and risk factors for medication administration omissions in English NHS hospital inpatients: a retrospective multicentre study using Medication Safety Thermometer data

OBJECTIVE

To determine the prevalence, nature and predictors of patients having medication administration omissions in hospitals.

METHODS

All medication administration omissions data collected using the standardised methodology of the Medication Safety Thermometer in January 2015 were examined. Hospital inpatients prescribed at least one medication were included in the analysis. Multilevel logistic regression models ascertained the effects of patients' gender, age, number of prescribed medicines, ward specialty and medicines reconciliation initiation status on the likelihood of having omissions. Valid clinical reasons (VCRs) were excluded from regression models. A sensitivity analysis, excluding patient refusal (PR) omissions, was also conducted.

RESULTS

The final study sample included 5708 patients from 320 wards in 37 hospitals. Excluding VCRs, 30% of patients had medication administration omissions (95% CI 29 to 30). Approximately half of patients with omissions had refused medicines (51%, 95% CI 49 to 53). Univariable analysis suggested that all variables were significantly associated with omissions. However, in the multivariable model, significant differences were only observed regarding the numbers of medicines patients were prescribed and their ward specialty. Patients prescribed more than 20 medications were approximately five times more likely to have had omissions than patients prescribed one to four medications (OR 4.99, 95% CI 3.22 to 7.73). Patients on surgical wards were also more likely to have had omissions than those on medical wards (OR 1.58, 95% CI 1.14 to 2.18, p=0.006), but there was no significant difference when PRs were excluded (OR 0.5, 95% CI 0.27 to 1.22, p=0.473).

CONCLUSION

Medication administration omissions are a substantial problem that affect many hospital patients, and certain patient groups are at higher risk. Specific interventions are required targeting the underlying reasons for medication omissions for different patient subgroups.

Evaluating the implementation and impact of a pharmacy technician-supported medicines administration service designed to reduce omitted doses in hospitals: a qualitative study

BACKGROUND

Of the various types of medication administration error that occur in hospitals, dose omissions are consistently reported as among the most common. It has been suggested that greater involvement from pharmacy teams could help address this problem. A pilot service, called pharmacy TECHnician supported MEDicines administration (TECHMED), was introduced in an English NHS hospital for a four-week period in order to reduce preventable medication dose omissions. The objective of this study was to evaluate the implementation, delivery and impact of the pilot TECHMED service using qualitative methods.

METHODS

Semi-structured interviews with pharmacy technicians, nursing staff and senior management involved with the pilot service were undertaken to evaluate TECHMED. Interviews were transcribed verbatim and analysed using the framework approach, guided by Weiss's Theory Based Evaluation model.

RESULTS

Twenty-two stakeholder interviews were conducted with 10 ward-based pharmacy technicians, nine nurses and three members of senior management. Most technicians performed a range of activities in line with the service specification, including locating drugs from a variety of sources, and identified situations where they had prevented missing doses. Nurses reported positive impacts of TECHMED on workload. However, not all technicians fully adhered to the service specification in regard to directly following nursing staff during each medication round, citing reasons related to productivity or perceived intrusiveness towards nursing staff. Some participants also reported a perceived lack of impact of TECHMED on medicine omissions. Seventeen of the 22 interviewees supported an extension of the service. There were however, concerns about the impact on technician workload and some participants advocated support for targeted service extension to wards/rounds with high schedule dose volumes and omitted dose rates.

CONCLUSIONS

The findings of this study suggest that the implementation of a pharmacy technician-supported medicines administration scheme to reduce omitted doses may be acceptable to staff in an NHS hospital, and that issues with service fidelity, staff resource/capacity and perceived interventions to avoid dose omissions have important implications for the feasibility of extending the service. The study has identified targets for future development in relation to individual and system factors to improve operationalisation of technician-led initiatives to reduce medicines omissions.

Evaluation of medication dose omissions amongst inpatients in a hospital using an electronic Medication Management System

RATIONALE, AIMS, AND OBJECTIVES

Whilst many dose omissions cause no patient harm, inappropriate dose omissions have been associated with increased length of hospital stay, risk of sepsis, and mortality. This study aimed to comprehensively describe the prevalence and nature of omitted doses overall and of high risk medication dose omissions in an organization using an electronic Medication Management System.

METHODS

A retrospective cross-sectional study was undertaken in an Australian tertiary referral health service. All routinely documented electronic inpatient dose administration records from 1^st July 2014 to 30^th June 2015 were included. Period prevalence and characteristics of dose omissions overall and of high-risk medication dose omissions were determined.

RESULTS

During the study period, 3.3 million inpatient doses were scheduled for administration, with doses endorsed as "not given" comprising 6.2% of all scheduled doses. Non-valid dose omissions (medication not available or no justification documented) comprised 1.2% of scheduled doses. Patient refusal accounted for one third of all dose omissions, while for 12% no explanation was provided and 7% were endorsed "medication not available". High-risk medications accounted for 20% of all dose omissions. One in 20 antimicrobial doses scheduled were omitted, and of these, 17% were due to patient refusal.

CONCLUSION

The period prevalence of dose omissions in this large study after electronic Medication Management System implementation is similar to that found when paper charts were used. Although most dose omissions appear appropriate, many orders were not given due to patient refusal or with no documented justification. Interventions to minimize unintentional dose omissions are indicated.

Learning from the design, development and implementation of the Medication Safety Thermometer

Quality issue

Approximately 10% of patients are harmed by healthcare, and of this harm 15% is thought to be medication related. Despite this, medication safety data used for improvement purposes are not often routinely collected by healthcare organizations over time.

Initial assessment

A need for a prospective medication safety measurement tool was identified.

Choice of solution

The aim was to develop a tool to allow measurement and aid improvement of medication safety over time. The methodology used for the National Health Service (NHS) Safety Thermometer was identified as an approach. The resulting tool was named the ‘Medication Safety Thermometer’.

Implementation

The development of the Medication Safety Thermometer was facilitated by a multidisciplinary steering group using a Plan, Do, Study, Act (PDSA) method. Alpha and beta testing occurred over a period of 9 months. The tool was officially launched in October 2013 and continued to be improved until May 2016 using ongoing user feedback.

Evaluation

Feedback was gained through paper and online forms, and was discussed at regular steering group meetings. This resulted in 16 versions of the tool. The tool is now used nationally, with over 230 000 patients surveyed in over 100 NHS organizations. Data from these organizations are openly accessible on a dedicated website.

Lessons learned

Measuring harm from medication errors is complex and requires steps to measure individual errors, triggers of harm and actual harm. PDSA methodology can be effectively used to develop measurement systems. Measurement at the point of care is beneficial and a multidisciplinary approach is vital.

Omission of High-Alert Medications: A Hidden Danger

The Pennsylvania Patient Safety Reporting System is a confidential, statewide Internet reporting system to which all Pennsylvania hospitals, outpatient-surgery facilities, birthing centers, and abortion facilities must file information on incidents and serious events.Safety Monitor is a column from Pennsylvania's Patient Safety Authority, the authority that informs nurses on issues that can affect patient safety and presents strategies they can easily integrate into practice. For more information on the authority, visit www.patientsafetyauthority.org. For the original article discussed in this column or for other articles on patient safety, click on "Patient Safety Advisories" and then "Advisory Library" in the left-hand navigation menu.

The relationship between in-hospital location and outcomes of care in patients diagnosed with dementia and/or delirium diagnoses: analysis of patient journey

Background

The discrepancy between the number of admissions and the allocation of hospital beds means that many patients admitted to hospital can be placed in units or wards other than that which specialise in the patient’s primary health issue (home-ward). These patients are called ‘outlier’ patients. Risk factors and health system outcomes of hospital care for ‘outlier’ patients diagnosed with dementia and/or delirium are unknown. Therefore, the aim of this research was to examine patient journeys of people with dementia and/or delirium diagnoses, to identify risk factors for ‘inlier’ or ‘outlier’ status and patient or health system outcomes (consequences) of this status.

Methods

A retrospective, descriptive study compared patients who had dementia and/or delirium according to the proportion of time spent on the home ward i.e. ‘inliers’ or ‘outliers’. Data from the patient journey database at Flinders Medical Centre (FMC), a public hospital in South Australia from 2007 and 2014 were extracted and analysed. The analysis was carried out on the patient journeys of people with a dementia and/or delirium diagnosis.

Results

When 6367 inpatient journeys with dementia and/or delirium within FMC were examined, the Emergency Department (ED) Length of Stay (LOS) after being admitted as inpatient was prolonged for ‘outlier’ patients compared to ‘inlier’ patients (OR: 1.068, 95% CI: 1.057–1.079, p = 0.000). However, the inpatient LOS for’outlier’ patients was only marginally shorter than that of the ‘inlier’ patients (OR: 0.998, 95% CI: 0.998–0.998, p = 0.000). The chances of dying within 48 h of admission increased for ‘outlier’ patients (OR: 1.973, 95% CI: 1.158–3.359, p = 0.012) and their Charlson co-morbidity Index was higher (OR: 1.059, 95% CI: 1.021–1.10, p = 0.002). Completion of discharge summaries within 2 days post-discharge for ‘outlier’ patients was compromised (OR: 1.754, 95% CI: 1.492–2.061, p = 0.000).Additionally, ‘outlier’ patients were more likely to be discharged to another hospital for other care types not offered at FMC (OR: 1.931, 95% CI: 1.559–2.391, p = 0.000).

Conclusion

An examination of the patient journeys at FMC has determined that the health system outcomes for patients with dementia and/or delirium who are admitted outside of their home-ward are affected by in-hospital location despite the homogenous nature of the study population.

Feasibility Study of Interventions to Reduce Medication Omissions Without Documentation: Recall and Check Study

We conducted a feasibility study to test an intervention to reduce medication omissions without documentation using nurse-initiated recall cards and medication chart checking at handover. No significant difference in the omission rate per 100 medications was found, although after adjusting for hospital and patient age, a significant effect occurred in the intervention group (n = 262 patients) compared with the control group (n = 272). This intervention may reduce medication omissions without documentation, requiring further study within larger samples.

Omitted doses as an unintended consequence of a hospital restricted antibacterial system: a retrospective observational study

Objectives

The objective of this study was to determine the frequency of omitted doses of antibacterial agents and explore a number of risk factors, including the effect of a restricted antibacterial system.

Methods

Antibacterial data were extracted from a hospital electronic prescribing and medication administration system for the period 1 January to 30 April 2014. Percentage dose omission rates were calculated. Omission rates for the first dose of antibacterial courses were analysed using logistic regression to identify any correlation between first dose omission rates and potential risk factors, including the antibacterials' restriction status and whether or not they were ward stock.

Results

The study included 90 761 antibacterial doses. Of these, 6535 (7.2%) were documented as having been omitted; omission of 847 (0.9% of 90 761) was due to medication being unavailable. Non-restricted, ward stock antibacterials had the lowest frequency of omission, with 6.2% (271 of 4391) first doses omitted. The prevalence was 10.4% (27 of 260) for restricted, ward-stock antibacterials (OR = 1.6, 95% CI = 1.0–2.4, P = 0.027) and 15.5% (53 of 341) for non-restricted, non-ward stock antibacterials (OR = 2.7, 95% CI = 2.0–3.7, P < 0.001). Restricted, non-ward stock antibacterials had the highest frequency (30.7%, 71 of 231; OR = 6.2, 95% CI = 4.5–8.4, P < 0.001).

Conclusions

Antibacterials not stocked in clinical areas were significantly more likely to be omitted. The prevalence of omitted doses increased further if the antibiotic was also restricted. To achieve safe, effective antimicrobial use, a balance is needed between promoting antimicrobial stewardship and preventing unintended omitted doses.

Reducing unacceptable missed doses: pharmacy assistant-supported medicine administration

OBJECTIVES

The potential harm from omitted and delayed medicines for hospital inpatients was highlighted by the National Patient Safety Agency (NPSA). Despite evidence of omitted doses, few interventional studies have been reported on preventing the problem. This study aimed to assess the impact on omitted doses when medicine administration was supported by pharmacy assistants (PAs).

METHODS

PAs were trained to support nurses on medicine administration rounds. Using stratified random sampling, two intervention and control wards were selected. Three study groups were defined: (A) intervention group (PA-supported medicine administration); (B) intra-ward control group; and (C) inter-ward control group. Primary outcome measure was number of patients with unacceptable omitted doses (UODs) in group A versus C. Secondary outcome measures were patients with critical UOD (cUOD), as defined by the NPSA, in groups A, B and C and UODs in group B versus A and C. Data were collected over 2 weeks (December 2011 and February 2012).

KEY FINDINGS

Using aggregated data over 2 weeks, 778 patients were assessed; 308 were male (40%). The overall proportion of patients with ≥1 UOD was 12.4% (n = 96). The proportion of patients with ≥1 UOD was 1.1% (n = 2) in group A (intervention) and 18.5% (n = 68) in group C (control). There were significantly fewer patients with cUOD in group A (1.1%; n = 2) compared with group C (7.4%; n = 27).

CONCLUSION

PA-supported medication rounds can significantly reduce the rate of omitted doses. This study provides evidence for a potential solution to the problem of omitted doses for hospital inpatients.

Multicentre study to develop a medication safety package for decreasing inpatient harm from omission of time-critical medications

QUALITY ISSUE

Omitting time-critical medications leads to delays in treatment and may result in patient harm.

INITIAL ASSESSMENT

Published studies show that omission of prescribed medication doses is common. Although most are inconsequential, up to 86% of omitted medications place patients at some risk of harm.

SOLUTION

Funding was obtained to develop a medication safety package to facilitate decreasing omitted dose incidents by audit, education and feedback.

IMPLEMENTATION

A panel of nursing and pharmacy hospital staff in Victoria, Australia, reviewed existing audit tools and published studies to develop a critical medication list and audit tool. The tool, definitions and instructions were tested in 11 rural, urban and teaching hospitals. Qualitative feedback was sought to refine the tool using a Plan-Do-Study-Act model. An educational presentation was developed using reported incidents.

EVALUATION

Staff in 11 hospitals tested the audit tool in 321 patients receiving 17 361 doses of medication. Feedback indicated audit data were useful for informing improvements in practice and for accreditation. The educational material consists of the User Guide, plus a presentation for nursing staff illustrated by six cases with questions, with instructions on how to decrease harm from omitted doses by ensuring correct documentation and prioritising time-critical medications.

LESSONS LEARNED

A medication safety package using standard definitions and a critical medication list was successfully tested. It is now used by nursing and pharmacy staff across the state. Several interstate hospitals are using the tools as part of their hospital medication safety programmes.

Relationship between in-hospital location and outcomes of care in patients of a large general medical service

BACKGROUND

The discrepancy between the number of admissions and the allocation of hospital beds means that many patients admitted under the care of a general medical service can be placed in other departments' wards. These patients are called 'outliers', and their outcomes are unknown.

AIMS

To examine the relation between the proportion of time each patient spent in their 'home ward' during an index admission and the outcomes of that hospital stay.

METHODS

Data from Flinders Medical Centre's patient journey database were extracted and analysed. The analysis was carried out on the patient journeys of patients admitted under the general medicine units.

RESULTS

Outlier patients' length of stay was significantly shorter than that of the inlier patients (110.7 h cf 141.9 h; P < 0.001).They had a reduced risk of readmission within 28 days of discharge from hospital. Outlier patients' discharge summaries were less likely to be completed within a week (64.3% cf 78.0%; P < 0.001). Being an outlier patient increased the risk-adjusted risk of in-hospital mortality by over 40%. Fifty per cent of deaths in the outlier group occurred within 48 h of admission. Outlier patients had spent longer in the emergency department waiting for a bed (6.3 h cf 5.3 h; P < 0.001) but duration of emergency department stay was not an independent predictor of mortality risk.

CONCLUSION

Outlier patients had significantly shorter length of stay in hospital but significantly greater in-patient death rates. Surviving outlier patients had lower rates of readmission but lower rates of discharge summary completion.

Improving quality and safety of care using "technovigilance": an ethnographic case study of secondary use of data from an electronic prescribing and decision support system

CONTEXT

"Meaningful use" of electronic health records to improve quality of care has remained understudied. We evaluated an approach to improving patients' safety and quality of care involving the secondary use of data from a hospital electronic prescribing and decision support system (ePDSS).

METHODS

We conducted a case study of a large English acute care hospital with a well-established ePDSS. Our study was based on ethnographic observations of clinical settings (162 hours) and meetings (28 hours), informal conversations with clinical staff, semistructured interviews with ten senior executives, and the collection of relevant documents. Our data analysis was based on the constant comparative method.

FINDINGS

This hospital's approach to quality and safety could be characterized as "technovigilance." It involved treating the ePDSS as a warehouse of data on clinical activity and performance. The hospital converted the secondary data into intelligence about the performance of individuals, teams, and clinical services and used this as the basis of action for improvement. Through a combination of rapid audit, feedback to clinical teams, detailed and critical review of apparent omissions in executive-led meetings, a focus on personal professional responsibility for patients' safety and quality care, and the correction of organizational or systems defects, technovigilance was-based on the hospital's own evidence-highly effective in improving specific indicators. Measures such as the rate of omitted doses of medication showed marked improvement. As do most interventions, however, technovigilance also had unintended consequences. These included the risk of focusing attention on aspects of patient safety made visible by the system at the expense of other, less measurable but nonetheless important, concerns.

CONCLUSIONS

The secondary use of electronic data can be effective for improving specific indicators of care if accompanied by a range of interventions to ensure proper interpretation and appropriate action. But care is needed to avoid unintended consequences.

Missed medication doses in hospitalised patients: a descriptive account of quality improvement measures and time series analysis

OBJECTIVE

To investigate the changes in overdue doses rates over a 4-year period in an National Health Service (NHS) teaching hospital, following the implementation of interventions associated with an electronic prescribing system used within the hospital.

DESIGN

Retrospective time-series analysis of weekly dose administration data.

SETTING

University teaching hospital using a locally developed electronic prescribing and administration system (Prescribing, Information and Communication System or PICS) with an audit database containing details on every drug prescription and dose administration.

PARTICIPANTS

Prescription data extracted from the PICS database.

INTERVENTION(S)

Four interventions were implemented in the Trust: (i) the ability for doctors to pause medication doses; (ii) clinical dashboards; (iii) visual indicators for overdue doses and (iv) overdue doses Root Cause

ANALYSIS

(RCA) meetings and a National Patient Safety Agency (NPSA) Rapid Response Alert. Main outcome measure(s) The percentage of missed medication doses.

RESULTS

Rates of both missed antibiotic and non-antibiotic doses decreased significantly upon the introduction of clinical dashboards (reductions of 0.60 and 0.41 percentage points, respectively), as well as following the instigation of executive-led overdue doses RCA meetings (reductions of 0.83 and 0.97 percentage points, respectively) and the publication of an associated NPSA Rapid Response Alert. Implementing a visual indicator for overdue doses was not associated with significant decreases in the rates of missed antibiotic or non-antibiotic doses.

CONCLUSIONS

Electronic prescribing systems can facilitate data collection relating to missed medication doses.

INTERVENTIONS

providing hospital staff with information about overdue doses at a ward level can help promote reductions in overdue doses rates.

Dose omissions in hospitalized patients in a UK hospital: an analysis of the relative contribution of adverse drug reactions

BACKGROUND

The omission of charted (prescribed) doses for hospitalized patients is an important problem in the UK. Inappropriate drug omission can clearly lead to harm from lack of therapeutic effect. However, healthcare professionals administering medicines may decide that omission of a dose is appropriate in certain circumstances, e.g. when patients show signs of a possible adverse drug reaction (ADR).

OBJECTIVE

The aim of this study was to characterize dose omissions to understand the factors that influence non-administration of therapy and to determine the proportion of doses that are appropriately omitted due to ADRs.

METHODS

We used data from a bespoke hospital-wide electronic prescribing and administration system at University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK. We extracted data on 6.01 million drug administrations during 2010 and then randomly selected four 7-day periods, concentrating on doses that were charted but not given. Omitted medicines were counted if either there was a charted 'non-administration' (i.e. an active acknowledgement of the omitted dose) or there was no charting of that dose (i.e. no record of either administration or omission). Paused medicines were not counted. When a dose was omitted, staff indicated the reasons for non-administration using codes ('hard coded') or free text in the electronic system. We used both to compare the contribution of different factors, including ADRs, to the total rates of dose omissions.

RESULTS

In the four 7-day periods analysed, 60 763 (12.4%) of the 491 894 charted doses were omitted. The most common code was 'patient refused drug' (45.4%). Only 1.6% of doses were omitted for reasons of patient safety, of which 4 in 1000 omissions were coded as directly due to an ADR.

CONCLUSIONS

Measures to improve the quality of care should seek to reduce dose omissions, but in some cases omission may be rational. Electronic medication administration records allow for detailed analysis of decisions made by healthcare professionals at the point of administration. While dose omissions related to ADRs are uncommon, they are important both for patient safety and for therapeutic decision making.