Dataset Information

Factors contributing to reported medication administration incidents in patients' homes - A text mining analysis.

ABSTRACT: AIMS:To describe the characteristics of medication administration (MA) incidents reported to have occurred in patients' own homes (reporters' profession, incident types, contributing factors, patient consequence, and most common medications involved) and to identify the connection terms related to the most common contributing factors based on free text descriptions. DESIGN:A retrospective study using descriptive statistical analysis and text mining. METHODS:Medication administration incidents (N = 19,725) reported to have occurred in patients' homes between 2013-2018 in one district in Finland were analysed, describing the data by the reporters' occupation, incident type, contributing factors, and patient consequence. SAS® Text Miner was used to analyse free text descriptions of the MA incidents to understand contributing factors, using concept linking. RESULTS:Most MA incidents were reported by practical (lower level) nurses (77.8%, N = 15,349). The most common category of harm was 'mild harm' (40.1%, N = 7,915) and the most common error type was omissions of drug doses (47.4%, N = 9,343). The medications most commonly described were Marevan [warfarin] (N = 2,668), insulin (N = 811), Furesis [furosemide] (N = 590), antibiotic (N = 446), and Panadol [paracetamol] (N = 416). The contributing factors most commonly reported were 'communication and flow of information' (25.5%, N = 5,038), 'patient and relatives' (22.6%, N = 4,451), 'practices' (9.9%, N = 1,959), 'education and training' (4.8%, N = 949), and 'work environment and resources' (3.0%, N = 598). CONCLUSION:There is need for effective communication and clear responsibilities between home care patients and their relatives and health providers, about MA and its challenges in home environments. Knowledge and skills relating to safe MA are also essential. IMPACT:These findings about MA incidents that have occurred in patients' homes and have been reported by home care professionals demonstrate the need for medication safety improvement in home care.

SUBMITTER: Harkanen M

PROVIDER: S-EPMC7702090 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Factors contributing to reported medication administration incidents in patients' homes - A text mining analysis.

Härkänen Marja M Franklin Bryony Dean BD Murrells Trevor T Rafferty Anne Marie AM Vehviläinen-Julkunen Katri K

Journal of advanced nursing 20201013 12

<h4>Aims</h4>To describe the characteristics of medication administration (MA) incidents reported to have occurred in patients' own homes (reporters' profession, incident types, contributing factors, patient consequence, and most common medications involved) and to identify the connection terms related to the most common contributing factors based on free text descriptions.<h4>Design</h4>A retrospective study using descriptive statistical analysis and text mining.<h4>Methods</h4>Medication admin ...[more]

PMID: 33048380

Similar Datasets

Project description:BackgroundMedication administration error is a medication error that occurs while administering a medication to a patient. A variety of factors make pediatrics more susceptible to medication errors and its consequences. In low-income countries, like Ethiopia, there is no sufficient evidence regarding medication administration error among pediatrics. The aim of this study is, therefore, to determine the magnitude and factors associated with medication administration error among pediatric population.MethodsA prospective observational based cross sectional study design was conducted from January to April 2017. Data collection was done using pre-tested structured questionnaire and blind observation checklist to health professionals in charge of administering selected medications. A total of 1282 medication administrations were obtained using single population proportion formula from patients in the selected public hospitals and the samples were selected using multistage sampling technique. Multivariable logistic regression using odds ratio and 95% confidence interval was used to determine the relationship between the independent and dependent variables. Variables with p-value <?0.05 were considered as independent factors for medication administration error.ResultA total of 1251 medication administrations were observed from 1251 patients. The occurrence of medication administration error was 62.7% with 95% CI (59.6%, 65.0%), wrong dose being the most common type of medication administration error with an occurrence rate of 53.7%. Medications administered for pediatric patients less than 1 month age, administered by bachelor degree holder health professionals, prepared in facilities without medication preparation room, prepared in facilities without medication administration guide and administer for patients who have two or more prescribed medications were more likely to have medication administration error than their counterparts with AOR (95% CI) of 7.54(2.20-25.86), 1.52 (1.07-2.17), 13.45 (8.59-21.06), 4.11 (2.89-5.85), and 2.42 (1.62-3.61), respectively.ConclusionThis study has revealed that there is high occurrence of medication administration error among pediatric inpatients in public hospitals of Tigray, Northern Ethiopia.. Age of patients, educational level of medication administrators, availability of the medication preparation room and guide, and the number of medications given per single patient were statistically significant factors associated with occurrence of medication administration error.

Project description:BACKGROUND:Some medications carry increased risk of patient harm when they are given in error. In incident reports, names of the medications that are involved in errors could be found written both in a specific medication field and/or within the free text description of the incident. Analysing only the names of the medications implicated in a specific unstructured medication field does not give information of the associated factors and risk areas, but when analysing unstructured free text descriptions, the information about the medication involved and associated risk factors may be buried within other non-relevant text. Thus, the aim of this study was to extract medication names most commonly used in free text descriptions of medication administration incident reports to identify terms most frequently associated with risk for each of these medications using text mining. METHOD:Free text descriptions of medication administration incidents (n = 72,390) reported in 2016 to the National Reporting and Learning System for England and Wales were analysed using SAS® Text miner. Analysis included text parsing and filtering free text to identify most commonly mentioned medications, followed by concept linking, and clustering to identify terms associated with commonly mentioned medications and the associated risk areas. RESULTS:The following risk areas related to medications were identified: 1. Allergic reactions to antibacterial drugs, 2. Intravenous administration of antibacterial drugs, 3. Fentanyl patches, 4. Checking and documenting of analgesic doses, 5. Checking doses of anticoagulants, 6. Insulin doses and blood glucose, 7. Administration of intravenous infusions. CONCLUSIONS:Interventions to increase medication administration safety should focus on checking patient allergies and medication doses, especially for intravenous and transdermal medications. High-risk medications include insulin, analgesics, antibacterial drugs, anticoagulants, and potassium chloride. Text mining may be useful for analysing large free text datasets and should be developed further.

Project description:Background: Understanding the causes of patient safety incidents is essential for improving patient safety; therefore, reporting and analysis of these incidents is a key imperative. Despite its implemention more than 15 years ago, the institutionalization of incident reporting in Indonesian hospitals is far from satisfactory. The aim of this study was to analyze the factors responsible for under-reporting of patient safety incidents in Indonesian public hospitals from the perspectives of leaders of hospitals, government departments, and independent institutions.MethodsA qualitative research methodology was adopted for this study using semi-structured interviews of key informants. 25 participants working at nine organizations (government departments, independent institutions, and public hospitals) were interviewed. The interview transcripts were analyzed using a deductive analytic approach. Nvivo 10 was used to for data processing prior to thematic analysis.ResultsThe key factors contributing to the under-reporting of patient safety incidents were categorized as hospital related and nonhospital related (government or independent agency). The hospital-related factors were: lack of understanding, knowledge, and responsibility for reporting; lack of leadership and institutional culture of reporting incidents; perception of reporting as an additional burden. The nonhospital-related factors were: lack of feedback and training; lack of confidentiality mechanisms in the system; absence of policy safeguards to prevent any punitive measures against the reporting hospital; lack of leadership.ConclusionOur study identified factors contributing to the under-reporting of patient safety incidents in Indonesia. The lack of government support and absence of political will to improve patient safety incident reporting appear to be the root causes of under-reporting. Our findings call for concerted efforts involving government, independent agencies, hospitals, and other stakeholders for instituting reforms in the patient safety incident reporting system.

Project description:BackgroundThe practice of self-medication during pregnancy is a global challenge that necessitates high attention as it poses a potential threat to the pregnant mother and fetus. However, little is known regarding self-medication practice and its contributors among pregnant women in our setting.ObjectiveThe main aim of this study was to investigate the practice of self-medication and its contributing factors among pregnant women.MethodologyA cross sectional study was conducted among pregnant women at antenatal care follow-up of Ayder comprehensive specialized hospital, Tigray, Ethiopia. Written informed consent was obtained from each participant before interview. Simple random sampling technique was employed to recruit participants in to the study. Data were collected by interviewing participants using the structured questionnaire. Binary logistic regressions analysis was performed to determine the contributing factors of self-medication practice during pregnancy. A p value of less than 0.05 was considered as significant.ResultsA total of 250 pregnant women were included in the study. Of the total, 40.8% practiced self-medication during the current pregnancy. Morning sickness (39.2%), headache (34.3%), and upper respiratory tract infections (29.4%) were the leading indications for self-medication. According to participant report, ease of access to medicines (25.5%), feelings that the disease is minor (21.6%) and timesaving (19.6%) were the most commonly reported reasons for self-medication practice. Absence of health insurance (AOR: 2.75, 95%CI: 1.29-5.89) and being on first trimester of pregnancy (AOR: 2.44, 95%CI: 1.02-5.86) were significant contributors of self-medication practice among pregnant women.ConclusionIn our study, high prevalence of self-medication was reported among pregnant women. Self-medication practice during pregnancy was higher among pregnant women on first trimester and those who were not having health insurance. Therefore, intervention programs should be designed to minimize the practice of self-medication during pregnancy.

Project description:BackgroundCommunication challenges are one of the main contributors for medication incidents in hospitals, but health professionals' perceptions about variety of the contributing communication factors and the factors' occurrence frequencies are studied little. This cross-sectional descriptive study aimed to (1) operationalize a literature-based framework into a scale for measuring health professionals' perceptions of communication factors, which contribute to medication incidents either directly or indirectly in hospitals, (2) to measure the construct validity and internal consistency of the scale and (3) to describe the primary results of the measured weekly perceived communication challenges.MethodsThe structured online questionnaire with 82 communication related items was developed based on a framework in literature. A content validity index of expert panelists' answers was used for item reduction. Data was collected between November 1st, 2019, and January 31st, 2020, by convenience sampling. The study sample (n = 303) included multiple health professional groups in diverse specialties, unit types and organizational levels in two specialized university hospital districts in Finland. Exploratory factor analysis with Maximum Likelihood method and Oblique rotation produced a six factors scale consisting of 57 items and having acceptable construct validity and internal consistency.ResultsThe six communication factors contributing to medication incidents concerned (1) medication prescriptions, (2) guidelines and reporting, (3) patient and family, (4) guideline implementation,5) competencies and responsibilities, and 6) attitude and atmosphere. The most frequently perceived communication challenges belonged to the Medication prescription related factor. Detailed item frequencies suggested that the most usual weekly challenges were: (1) lack or unclarity of communication about medication prescriptions, (2) missing the prescriptions which were written outside of the regular physician-ward-rounds and (3) digital software restricting information transfer.ConclusionsThe scale can be used for determining the most frequent detailed communication challenges. Confirmatory factor analysis of the scale is needed with a new sample for the scale validation. The weekly perceived communication challenges suggest that interventions are needed to standardize prescribing documentation and to strengthen communication about prescriptions given outside of regular ward-rounds.

Dataset Information

Factors contributing to reported medication administration incidents in patients' homes - A text mining analysis.

Publications

Factors contributing to reported medication administration incidents in patients' homes - A text mining analysis.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets