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

Enhanced Free-Text Search for Aggregated Medication Error Report Analysis and Risk Detection

OBJECTIVES

Detecting medication errors (MEs) and learning from them are the key elements of medication safety management in health care. While the aggregation of the data and learning across the ME reports could help detect and manage organizational risks, the inconsistent and partly missing structural data complicate the analysis. The objective of this study was to examine whether an analysis of free-text data of aggregated ME reports could contribute to the detection of organizational risks.

METHODS

A retrospective, cross-sectional analysis of ME reports from a patient safety incident reporting system in a tertiary hospital 2017-2021. Clustering of characteristics and variables of ME reports with an enhanced free-text search of the 10 most frequent active substances (TOP10) related to ME reports using Microsoft Excel. Validity analysis of the four most frequent active substances of the search results (TOP4). Evaluation of the possible impact of the enhanced free-text search method on ME report analysis and risk detection.

RESULTS

The enhanced free-text search increased significantly the number of relevant ME reports of TOP10 active substances from 698 reports to 1578 reports. The validity of the enhanced free-text search results in TOP4 active substances was more than 74%. The enhanced free-text search revealed also new ME findings.

CONCLUSIONS

Enhanced free-text search can contribute to the aggregate analysis of clustered ME reports and to the improvement of ME risk detection. The enhanced free-text search method enables more comprehensive analysis of the free-text data with commonly available software and provides new insights into medication safety improvement.

Factors impacting clinical data and documentation quality in Australian aged care and disability services: a user-centred perspective

BACKGROUND

Research has highlighted a need to improve the quality of clinical documentation and data within aged care and disability services in Australia to support improved regulatory reporting and ensure quality and safety of services. However, the specific causes of data quality issues within aged care and disability services and solutions for optimisation are not well understood.

OBJECTIVES

This study explored aged care and disability workforce (referred to as 'data-users') experiences and perceived root causes of clinical data quality issues at a large aged care and disability services provider in Western Australia, to inform optimisation solutions.

METHODS

A purposive sample of n = 135 aged care and disability staff (including community-based and residential-based) in clinical, care, administrative and/or management roles participated in semi-structured interviews and web-based surveys. Data were analysed using an inductive thematic analysis method, where themes and subthemes were derived.

RESULTS

Eight overarching causes of data and documentation quality issues were identified: (1) staff-related challenges, (2) education and training, (3) external barriers, (4) operational guidelines and procedures, (5) organisational practices and culture, (6) technological infrastructure, (7) systems design limitations, and (8) systems configuration-related challenges.

CONCLUSION

The quality of clinical data and documentation within aged care and disability services is influenced by a complex interplay of internal and external factors. Coordinated and collaborative effort is required between service providers and the wider sector to identify behavioural and technical optimisation solutions to support safe and high-quality care and improved regulatory reporting.

Flow of information contributing to medication incidents in home care-An analysis considering incident reporters' perspectives

AIM

To describe the contributing factors and types of reported medication incidents in home care related to the flow of information in different phases of the medication process, as reported by multi-professional healthcare groups.

DESIGN

This descriptive, qualitative study used retrospective data.

METHODS

An incident-reporting database was used to collect 14,289 incident reports from 2017 to 2019 in a city in Finland. We used this data to select medication incidents (n = 1027) related to the flow of information in home care and between home care and hospitals. Data were divided into five groups based on the medication phase: (1) prescribing, (2) dispensing, (3) administration, (4) documentation and (5) self-administration. In addition, the types of medication-related incidents were described. The data were examined using abductive content analysis. The EQUATOR SRQR checklist was used in this report.

RESULTS

Four main categories were identified from the data: (1) issues related to information management, (2) cooperation issues between different actors, (3) work environment and lack of resources and (4) factors related to healthcare workers. Cooperation issues contributed to medication-related incidents during each phase. Incomplete communication was a contributing factor to medication incidents. This occurred between home care, remote care, hospital, the client and the client's relatives. Specifically, a lack of information-sharing occurred in repatriation situations, where care transitioned between different healthcare professionals.

CONCLUSION

Healthcare professionals, organisations, clients and their relatives should focus on the efficient and safe acquisition of medications. Specifically, the use of electronic communication systems, together with oral reports and checklists for discharge situations, and timely cooperation with pharmacists should be developed to manage information flows.

RELEVANCE TO CLINICAL PRACTICE

These findings demonstrate that healthcare professionals require uniform models and strategies to accurately and safely prescribe, dispense and administer medications in home care settings. No patient or public contributions.

Natural Language Processing Applied to Clinical Documentation in Post-acute Care Settings: A Scoping Review

OBJECTIVES

To determine the scope of the application of natural language processing to free-text clinical notes in post-acute care and provide a foundation for future natural language processing-based research in these settings.

DESIGN

Scoping review; reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews guidelines.

SETTING AND PARTICIPANTS

Post-acute care (ie, home health care, long-term care, skilled nursing facilities, and inpatient rehabilitation facilities).

METHODS

PubMed, Cumulative Index of Nursing and Allied Health Literature, and Embase were searched in February 2023. Eligible studies had quantitative designs that used natural language processing applied to clinical documentation in post-acute care settings. The quality of each study was appraised.

RESULTS

Twenty-one studies were included. Almost all studies were conducted in home health care settings. Most studies extracted data from electronic health records to examine the risk for negative outcomes, including acute care utilization, medication errors, and suicide mortality. About half of the studies did not report age, sex, race, or ethnicity data or use standardized terminologies. Only 8 studies included variables from socio-behavioral domains. Most studies fulfilled all quality appraisal indicators.

CONCLUSIONS AND IMPLICATIONS

The application of natural language processing is nascent in post-acute care settings. Future research should apply natural language processing using standardized terminologies to leverage free-text clinical notes in post-acute care to promote timely, comprehensive, and equitable care. Natural language processing could be integrated with predictive models to help identify patients who are at risk of negative outcomes. Future research should incorporate socio-behavioral determinants and diverse samples to improve health equity in informatics tools.

Home care professionals' experiences of successful implementation, use and competence needs of robot for medication management in Finland

AIM

To describe home care professionals' individual experiences of the implementation, use and competence needs of a robot for medication management in older people's home care.

DESIGN

A qualitative focus group interview study.

METHODS

Data were collected during spring and autumn 2021 by semi-structured focus group interviews and analysed using inductive content analysis. The participants were 62 home care professionals working in older people's home care.

RESULTS

The successful implementation and use of the robot for medication management consisted of a timely and adequate introduction before the implementation of the robot, the fluent usability of the robot in daily work, and confidence in work competence. There is a need for the reorganization of home care professionals' use of digital solutions to make workflow fluent, prevent burnout and turnover among home care professionals. Professionals' competence should also be developed to ensure that it corresponds to digitalized healthcare.

PATIENT AND PUBLIC CONTRIBUTIONS

No patient or public contribution.

Recognising older people's individual resources and home‐care‐specific tasks in home care in Finland: A document analysis of care and service plans

BACKGROUND AND RATIONALE

Comprehensive care and service planning in home care is tailored to older people's individual needs and resources in order to support them living at home. However, little is known about how these individual resources and home-care-specific tasks are recognised in older people's care and service plans.

AIMS

To describe the content of care and service plans in older people's home care with special attention to their individual resources and home-care-specific tasks.

DESIGN

This was a document-based cross-sectional study with mixed-methods analysis, carried out in Eastern Finland during Spring 2018.

METHODS

A document analysis using the deductive Finnish Care Classification (FinCC), and an inductively developed framework of older people's care and service plans (n = 71). The data were analysed with descriptive statistical methods.

RESULTS

Altogether, 1718 notes were relevant to the FinCC main categories: 707 (41%) focused on older people's needs and 1011 (59%) on nursing interventions. We identified 1104 notes based on the 26 inductively developed main categories: the majority (n = 628, 57%) focused on individual resources and the remainder (n = 476, 43%) on home-care-specific tasks. Increasing age resulted in fewer notes on safety and sensory functions. There were fewer notes on resources related to sleeping and wakefulness after longer care and service periods. An increased number of home visits resulted in more documentation on tasks related to pharmaceutical issues, including repeat prescriptions.

DISCUSSION

Individual resources for older people were documented, to some extent, in their care and service plans. It is necessary to review these alongside home-care-specific tasks that support older people's independence and safety at home.

CONCLUSION

Individual resources need to be recognised in order to enable home-care professionals to provide tailored, high-quality home care services. Home-care-specific tasks should be supported by documentation with updated, sensitive home care classifications.

Medication errors' causes analysis in home care setting: A systematic review

Many studies analyze the medication errors in the hospital setting, but the literature involving the home care setting seems scarce. The aim of this study is to identify the main risk factors that affect the genesis of medication errors and the possible solutions to reduce the phenomenon in the home care setting. This systematic review was performed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. The critical analysis of the literature shows that medication errors in home care occur mainly during transitional care. The main risk factors related to transitional care are poor interprofessional communication, lack of a standardized process for medication reconciliation, the widespread use of computerized tools, and the inadequate integration of the pharmacist into the care team. The strategies to reduce the risk of errors from therapy at home are the implementation of the pharmacist in the health team to ensure accurate medication reconciliation and the use of computerized tools to improve communication between professionals and to reduce the dispersion of information.

Nurses' perspectives on an electronic medication administration record in home healthcare: Qualitative interview study (Preprint)

Background

eHealth is considered by policy makers as a prerequisite for meeting the demands of health care from the growing proportion of older people worldwide. The expectation about what the efficiency of eHealth can bring is particularly high in the municipal home health care sector, which is facing pressure regarding resources because of, for example, earlier discharges from hospitals and a growing number of patients receiving medications and treatments at home. Common eHealth services in home health care are electronic medication administration records (eMARs) that aim to communicate delegated tasks between professionals. However, there is an extensive gap in the research on how technology affects and is experienced by home health care professionals.

Objective

The objective of this paper is to shed light on how home care nurses experience eMARs in a Swedish municipality.

Methods

This qualitative interview study was conducted among home health care nurses using eMARs to facilitate communication and signing of delegated nursing tasks. The analysis of the interviews was performed using constructivist grounded theory, according to Charmaz.

Results

Of the 19 day-employed nurses in the municipality where an eMAR was used, 16 (84%) nurses participated in the study. The following two categories were identified from the focus group interviews: nurses become monitors and slip away from the point of care. The nurses experienced that they became monitors of health care through the increased transparency provided by the eMAR and the measurands they also applied, focusing on the quantitative aspects of the delegated nursing tasks rather than the qualitative aspects. The nurses experienced that their monitoring changed the power relations between the professions, reinforcing the nurses’ superior position. The experience of the eMAR was regarded as transitioning the nurses’ professional role—away from the point of care and toward more administration—and further strengthened the way of managing work through delegation to health care assistants.

Conclusions

Previous analyses of eHealth services in health care showed that implementation is a complex process that changes health care organizations and the work of health care professionals in both intended and unintended ways. This study adds to the literature by examining how users of a specific eHealth service experience its impacts on their daily work. The results indicate that the inscribed functions in an eHealth service may affect the values and priorities where the service is in use. This presents an opportunity for future research and for health care organizations to assess the impacts of specific eHealth services on health care professionals’ work and to further examine the effects of inscribed functions in relation to how they may affect actions and priorities at individual and organizational levels.

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

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.