Literature DB >> 25394525

Medication-administration errors in an urban mental health hospital: a direct observation study.

Alan Cottney1, James Innes.   

Abstract

In the present study, we aimed to identify the incidence, type, and potential clinical consequence of medication-administration errors made in a mental health hospital, and to investigate factors that might increase the risk of error. A prospective, direct observational technique was used to collect data from nurse medication rounds on each of the hospital's 43 inpatient wards. Regression analysis was used to identify potential error predictors. During the 172 medication rounds observed, 139 errors were detected in 4177 (3.3%) opportunities. The most common error was incorrect dose omission (52/139, 37%). Other common errors included incorrect dose (25/139, 18%), incorrect form (16/139, 12%), and incorrect time (12/139, 9%). Fifteen (11%) of the errors were of serious clinical severity; the rest were of negligible or minor severity. Factors that increased the risk of error included the nurse interrupting the medication round to attend to another activity, an increased number of 'when required' doses of medication administered, a higher number of patients on the ward, and an increased number of doses of medication due. These findings suggest that providers of inpatient mental health-care services should adopt medicine-administration systems that minimize task interruption and the use of 'when required' medication, as well as taking steps to reduce nursing workload.
© 2014 Australian College of Mental Health Nurses Inc.

Entities:  

Keywords:  direct observation; medication administration; medication error; mental health; psychiatry

Mesh:

Year:  2014        PMID: 25394525     DOI: 10.1111/inm.12096

Source DB:  PubMed          Journal:  Int J Ment Health Nurs        ISSN: 1445-8330            Impact factor:   3.503


  8 in total

Review 1.  Frequency and Nature of Medication Errors and Adverse Drug Events in Mental Health Hospitals: a Systematic Review.

Authors:  Ghadah H Alshehri; Richard N Keers; Darren M Ashcroft
Journal:  Drug Saf       Date:  2017-10       Impact factor: 5.606

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

Authors:  Paryaneh Rostami; Calvin Heal; Abigail Harrison; Gareth Parry; Darren M Ashcroft; Mary P Tully
Journal:  BMJ Open       Date:  2019-06-09       Impact factor: 2.692

3.  Stakeholders views of medicines administration by pharmacy technicians on mental health inpatient wards.

Authors:  Joanne Woodward; Alison MacKinnon; Richard Neil Keers
Journal:  Int J Clin Pharm       Date:  2019-07-18

4.  Patient safety in inpatient mental health settings: a systematic review.

Authors:  Bethan Thibaut; Lindsay Helen Dewa; Sonny Christian Ramtale; Danielle D'Lima; Sheila Adam; Hutan Ashrafian; Ara Darzi; Stephanie Archer
Journal:  BMJ Open       Date:  2019-12-23       Impact factor: 2.692

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

Authors:  Richard N Keers; Mark Hann; Ghadah H Alshehri; Karen Bennett; Joan Miller; Lorraine Prescott; Petra Brown; Darren M Ashcroft
Journal:  PLoS One       Date:  2020-02-06       Impact factor: 3.240

6.  'It's good to have the knowledge and the confidence': Mental health student nurses' views of a medication workshop.

Authors:  John Goodwin; Sheila White; Maria O'Malley; Emma Hurley; Aine O'Donovan; Peter Kelly
Journal:  Int J Ment Health Nurs       Date:  2022-05-13       Impact factor: 5.100

7.  Using league tables to reduce missed dose medication errors on mental healthcare of older people wards.

Authors:  Alan Cottney
Journal:  BMJ Qual Improv Rep       Date:  2015-07-22

8.  What causes medication administration errors in a mental health hospital? A qualitative study with nursing staff.

Authors:  Richard N Keers; Madalena Plácido; Karen Bennett; Kristen Clayton; Petra Brown; Darren M Ashcroft
Journal:  PLoS One       Date:  2018-10-26       Impact factor: 3.240

  8 in total

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