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Prevalence, nature and predictors of omitted medication doses in mental health hospitals: A multi-centre study.

ABSTRACT: OBJECTIVE:Limited evidence concerning the burden and predictors of omitted medication doses within mental health hospitals could severely limit improvement efforts in this specialist setting. This study aimed to determine the prevalence, nature and predictors of omitted medication doses affecting hospital inpatients in two English National Health Service (NHS) mental health trusts. METHODS:Over 6 data collection days trained pharmacy teams screened inpatient prescription charts for scheduled and omitted medication doses within 27 adult and elderly wards across 9 psychiatric hospitals. Data were collected for inpatients admitted up to two weeks prior to each data collection day. Omitted doses were classified as 'time critical' and 'preventable' based on established criteria. Omitted dose frequencies were presented with 95% confidence intervals (CI). Multilevel logistic regression analyses determined the predictors of omitted dose occurrence, with omission risks presented as adjusted odds ratios (OR) with 95% CI. RESULTS:18,664 scheduled medication doses were screened for 444 inpatients and 2,717 omissions were identified, resulting in a rate of 14.6% (95% CI 14.1-15.1). The rate of 'time critical' omitted doses was 19.3% (95% CI 16.3-22.6%). 'Preventable' omitted doses comprised one third of all omissions (34.5%, 930/2694). Logistic regression analysis revealed that medicines affecting the central nervous system were 55% less likely to be omitted compared to all other medication classes (9.9% vs. 18.8%, OR 0.45 (0.40-0.52)) and that scheduled doses administered using non-oral routes were more likely to be omitted compared the oral route (inhaled OR 3.47 (2.64-4.57), topical 2.71 (2.11-3.46), 'other' 2.15 (1.19-3.90)). 'Preventable' dose omissions were more than twice as likely to occur for 'time critical' medications than non-time critical medications (50.4% vs. 33.8%, OR 2.24 (1.22-4.11)). CONCLUSIONS:Omitted medication doses occur commonly in mental health hospitals with 'preventable' omissions a key contributor to this burden. Important targets for remedial intervention have been identified.

SUBMITTER: Keers RN

PROVIDER: S-EPMC7004323 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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Prevalence, nature and predictors of omitted medication doses in mental health hospitals: A multi-centre study.

Keers Richard N RN Hann Mark M Alshehri Ghadah H GH Bennett Karen K Miller Joan J Prescott Lorraine L Brown Petra P Ashcroft Darren M DM

PloS one 20200206 2

<h4>Objective</h4>Limited evidence concerning the burden and predictors of omitted medication doses within mental health hospitals could severely limit improvement efforts in this specialist setting. This study aimed to determine the prevalence, nature and predictors of omitted medication doses affecting hospital inpatients in two English National Health Service (NHS) mental health trusts.<h4>Methods</h4>Over 6 data collection days trained pharmacy teams screened inpatient prescription charts fo ...[more]

PMID: 32027720

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Project description:BACKGROUND:Improper use of antibiotics leads to the emergence of resistant microorganisms as well as drug toxicity, increased healthcare costs, morbidity and mortality. Globally, an estimated 25-68% of hospitalized patients receive suboptimal antibiotic regimes. Information on the extent of this problem in Ghana is currently limited, particularly in surgical units. To strategize for interventions, we estimated the antibiotic use prevalence in surgical departments in a country-wide point prevalence survey (PPS) in Ghana. METHODS:Between October 2016 and December 2016, we conducted a cross-sectional multi-center country-wide PPS. This involved an audit of in-patients' records from all units/departments of ten systematically selected hospitals in Ghana. Data were collected with a standardized questionnaire, adopted from the European Centre for Disease Prevention and Control. In this report, we present data on antibiotic use from the surgical units. RESULTS:Of 2107 eligible patients included in the PPS, 540 patients were identified in surgical units, of which 70.7% (382/540) received antibiotic therapy. A total of 636 antibiotic prescriptions were issued to these surgical patients; 224 (58.6%) for treatment, including 50 for treatment of hospital-acquired infections, and 144 (37.7%) for prophylaxis (medical and surgical). Median duration of antibiotic therapy prior to the survey was 5 days (interquartile range (IQR): 3-8 days). Surgical prophylaxis was administered for longer than the recommended one day in 107 of 144 (88.4%) patients. The choice of antibiotics was largely similar for community- and hospital-acquired infections as well as for prophylaxis. Only 3.7% of patients had microbiological analysis done on clinical samples. CONCLUSION:We found a high prevalence of antibiotic use, with the choice of antibiotics, in some cases, inconsistent with the country's treatment guidelines. Antibiotics were administered for long duration including antibiotics for prophylactic purposes and the majority was started without supporting microbiological analysis. Prescription practices that encourage rational use of antibiotics guided by microbiology and enforcement of antibiotic policy guidelines should be the target for future interventions.

Project description:BackgroundOf 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.MethodsSemi-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.ResultsTwenty-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.ConclusionsThe 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.

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Prevalence, nature and predictors of omitted medication doses in mental health hospitals: A multi-centre study.

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Prevalence, nature and predictors of omitted medication doses in mental health hospitals: A multi-centre study.

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