Introduction
Barcode medication administration (BCMA) technology is designed to improve medication safety during inpatient drug rounds. BCMA supports medication administration by requiring scanning of barcodes on the patient’s wristband and medication packaging by nursing staff. BCMA has been shown to improve patient safety by increasing adherence to the ‘five rights’ of medication administration (right patient, drug, dose, route and time) [
1]. Implementation of BCMA has been demonstrated to reduce medication administration error rates by up to 54% [
2] and create an enhanced perception of safety by nursing staff [
3].
Several studies evaluating the success of BCMA implementation have highlighted challenges in achieving high scanning rates. Barriers to BCMA use can be categorised into “process issues” (such as inadequate training or negative changes to workflow), “technology concerns” and “staff resistance” [
4,
5]. An ethnographic study evaluating BCMA suggested it can lead to longer medication administration rounds as a consequence of increased drug checking [
6]. Conversely, another observational study exploring the impact of BCMA on nursing workflow reported that time spent on medication administration activities was unchanged, while time spent on inefficient activities (such as acknowledging physician orders) was reduced [
7]. BCMA systems and software interfaces have also been described as “not user friendly” [
8] and “intimidating” [
9], highlighting the importance of nursing involvement in their design and implementation when aiming to achieve high scanning rates.
Much of the published literature regarding BCMA originates from the United States. These studies demonstrate typically high rates of BCMA scanning, even prior to improvement initiatives. For example, a study by Van Ornum et al. improved BCMA scanning rates from 95 to 98% [
10]. The challenges faced implementing BCMA in the United Kingdom (UK) differ, likely due to differences in medication packaging, systems of medication administration and computer systems. A recent quality improvement project [
11] implemented three quality improvement cycles including real-time monitoring of compliance, resulting in an increase of scan rates to 94%.
Existing research on BCMA use focuses primarily on exploring the experiences of nursing and pharmacy staff, but has also highlighted the potential impact of BCMA on nurse-patient interactions. A study using direct observation throughout the implementation of BCMA [
2] in three nursing inpatient units acknowledged nursing concerns regarding patient understanding of the new system, and designed a handout to explain the process and its potential safety benefits for patients. A quality improvement project [
12] built upon observations of BCMA being used in practice and noted that patients may be anxious about new technologies. The study team therefore developed a script for nurses to use with patients to introduce BCMA and allay any fears. An article by Englebright et al. [
13] discusses causes of workarounds to BCMA technology, suggesting that nurses may not use BCMA at night to avoid waking/disturbing patients. The authors again promote use of a script to manage patient expectations, and advise involving patients in the process - encouraging them to “remind nurses to scan their wristbands”. Whilst the potential impact of BCMA technology on nurse-patient interactions is acknowledged, there is a gap in the current evidence with respect to directly investigating and reporting patient views on the topic.
This study therefore aimed to understand the facilitators and barriers to BCMA use experienced by nursing staff at a London NHS hospital trust with low initial uptake of the technology, additionally incorporating patient perspectives to provide a holistic evaluation of experiences of BCMA.
Specific objectives were:
1.
To identify the current level of use of BCMA by nursing staff within one NHS trust and any patterns associated with its uptake.
2.
To conduct a focused qualitative exploration and thematic analysis to identify common themes regarding BCMA use among nursing staff, with a focus on facilitators and barriers.
3.
To utilise behavioural science frameworks to improve understanding of existing patterns of use and guide the development of any future interventions aimed at improving BCMA scanning rates.
4.
To obtain a novel and holistic understanding of experiences of BCMA technology by incorporating patient perspectives.
Methods
Study design
This study utilised mixed methodology using an exploratory design, where qualitative methods were selected to explore and understand initial quantitative results. Local quantitative data on BCMA scanning rates were extracted and interrogated to establish the current pattern of BCMA use. Qualitative semi-structured interviews with nursing staff and patients were chosen to elucidate and understand the presence of facilitators and barriers to BCMA use. These qualitative interview data were supplemented by ethnographic observations of drug rounds.
Qualitative data were further analysed using behavioural science frameworks to enhance understanding of the behaviours arising from the identified facilitators and barriers, and identify potential foci for future intervention.
This project was deemed to be a service evaluation, with approval obtained from the NHS trust concerned (Registration no. 652 and 698).
Study setting
First implemented at the trust in 2019, uptake of BCMA was lower than anticipated, and significantly under an initial target of 50% of scannable medication doses being scanned. The BCMA system was integrated with the trust’s electronic prescribing and medicines administration (EPMA) system to give ‘closed loop’ medication administration functionality, supporting confirmation that the correct medication is administered to the correct patient [
14]. In line with most UK hospitals, nurses administered medication from original packs; the unit dose system is not used. At the time of this study, not all medication doses could be scanned. Examples of unscannable medication included any that did not have a barcode, those brought in from the patient’s home, those repackaged by the pharmacy department, and controlled drugs (which are subject to a different workflow). To administer medication using BCMA, the nurse is required to scan both the patient’s wristband, and the barcode on the medication due to be administered. The process is therefore a two-step one, and it is possible to only scan either the patient, or the medication.
As part of the implementation strategy for BCMA within the trust, new trolleys that housed a computer and lockable storage for a wide range of medications were introduced. These trolleys were selected through discussion and testing of a variety of available models with nursing staff prior to implementation.
One hospital within the trust was selected as the focus of this exploration. At the time of the study, BCMA was live on 15 of 22 inpatient wards in this hospital. We selected three target wards for qualitative exploration with different rates of BCMA scanning, aiming to select wards of the same size, layout and with similar patient demographics. Based on overall scanning rates, wards with higher BCMA usage (scanning > 10% of scannable doses), medium (5–10%) and lower usage (< 5%) were identified.
Participant groups
Qualitative data regarding BCMA technology were to be obtained from nursing staff working on the target wards. All nurses working on the ward during the study period were eligible for inclusion, including agency staff, as this reflected the typical staffing situation at the study site. This was to ensure all barriers to BCMA use were captured, as we anticipated they might be different for different groups of staff. Patients on these wards who were likely to have been exposed to BCMA during their hospital stay were also interviewed. All inpatients on the three wards were eligible for inclusion in the study, however those who were too unwell to participate, were unable to consent / lacked capacity to participate or where language was a significant barrier were excluded.
Data collection & analysis strategy
Quantitative data were extracted from the Trust’s local database in November 2021. These were analysed within Microsoft Excel using descriptive statistics to ascertain whether patterns were present in the timings of BCMA use, which wards were using the technology more frequently and which medications were being scanned regularly.
The qualitative interview topic guide for nursing staff was developed and informed by a literature review and discussion within the multidisciplinary team that formed the study working group (Appendix
1). The topic guide was initially piloted on nurses working in the mid-usage ward with subsequent refinement and roll out to the higher and lower usage wards.
Interviews across the 3 wards were undertaken by 5 members of the working group (RH, KG, SH, EW, AE) between December 2021 and March 2022. Prior to each interview, the nurse was provided with a brief overview of the topic and given the opportunity to ask questions. Verbal informed consent was requested prior to commencement of the interviews and they took place in private rooms within the nurse’s working environment. Detailed handwritten notes reflecting the interview content were taken during the interviews. Data obtained from qualitative interviews were analysed iteratively as the interviews progressed, allowing for refinement of the topic guide and exploration of emergent themes. Recruitment for these qualitative interviews ceased when an assessment of thematic saturation was made by two researchers (KG and RH) [
15,
16].
Ethnographic observations of nurses administering patient’s prescribed medications during drug rounds were undertaken alongside qualitative interviews by one researcher (RH) in January and February 2022. The primary focus of these observations was nursing staff using BCMA to administer patient medication, incorporating events such as interruptions and distractions that may contribute to not using the technology. Again, observations were recorded as detailed handwritten notes, ensuring that behaviours surrounding BCMA use and the potential causes for these behaviours were captured. These were reviewed by two researchers (KG and RH) and analysed deductively against the thematic framework constructed during the thematic analysis of nursing interviews. These data were used to supplement the analysis of qualitative interview data.
Qualitative interview data were analysed and coded according to a thematic analysis technique [
17], using an inductive approach to identify themes. The stages of the thematic analysis were as follows: familiarisation with the data set, generation of initial codes with ongoing review of the data and an evaluation of the entire data set for themes. These steps led to the construction of a thematic framework. This process was recursive, with ongoing re-review of the original data at each stage. This coding was primarily completed by one researcher (KG), with cross-coding of > 10% of the data undertaken by a second researcher (RH) to enhance credibility of the conclusions drawn and minimise potential bias. Any discrepancy in coding was resolved through discussion within the research team. Data were re-reviewed and checked to improve concordance of themes and support confirmability and dependability, with clear documentation of the analysis process. Themes and sub-themes were organised into those that represented facilitators versus barriers to BCMA use. Qualitative data obtained through observations were analysed deductively using the thematic framework generated during the thematic analysis of qualitative interview data to provide further data on the barriers and facilitators to BCMA use.
A second topic guide was developed for patient interviews (Appendix
2). Patient participants were identified through discussion with the nurse in charge (thereby ensuring patient selection was appropriate, individuals had capacity and were able to understand and converse in English). Prior to interviews, patients were provided with an introduction and explanation of the project, and verbal informed consent was obtained. These interviews were conducted by two members of the research group (RH and KG). Handwritten notes were made during these interviews, and recruitment ceased following an assessment of thematic saturation. Qualitative data from these patient interviews were analysed using a deductive approach based upon the thematic framework developed through analysis of nursing staff interviews. Again, to ensure confirmability and dependability, coding were reviewed by two researchers (RH, KG), with discrepancies discussed within the wider research team.
All qualitative themes constructed during the inductive qualitative thematic analysis of nursing interviews (and supported by patient interview and ethnographic data) were then reviewed in the context of the quantitative data obtained from each ward, with the aim of explaining the quantitative results.
Behavioural science frameworks
Behavioural science frameworks allow the influences on different elements of behaviour to be identified and understood. The COM-B framework identifies three essential factors that need to be present for any behaviour to occur: capability, opportunity and motivation [
18]. The theoretical domains framework (TDF) [
19] is a comprehensive framework incorporating individual factors that may influence behaviour (such as knowledge, intentions and goals), additionally including social and environmental factors (e.g. social influences). The framework can be used to understand the wide range of influential factors on behaviours and support the development of future behaviour change initiatives. This study utilised the TDF by mapping the facilitators and barriers identified within the qualitative work to each domain (where relevant), allowing the research team to evaluate the influences on the behaviours observed and described in interviews.
This study utilised both frameworks to comprehensively understand the behaviours associated with BCMA use, and to provide foci for future intervention. The 14 domains within the TDF were mapped to the COM-B framework in line with previous published guidance [
20‐
22]. The thematic framework created through qualitative analysis of nursing staff interviews was then mapped to these frameworks to identify influences on behaviours, inform systematic intervention design and understand potential mechanisms of change.
Reflexivity
RH is a research pharmacist, KG is a postgraduate researcher with a clinical background in anaesthesia, EW and AH are junior doctors, SH is a surgeon and clinical lecturer in behavioural economics in health, BDF is a research pharmacist and professor of medication safety. KG, SH and BDF all have previous experience in conduct and analysis of qualitative and mixed methods studies in the clinical environment. All authors anticipated that there would be barriers and facilitators to the use of BCMA and that these may differ between wards, but had no preconceived ideas regarding their manifestation. The team were aware of how their backgrounds may affect study design, analysis and interpretation. A reflexive position was maintained throughout to minimise the risk of bias or presumptions affecting the analysis or interpretations.
This manuscript is written in accordance with the Standards for Reporting Qualitative Research [
23] (Appendix
3).
Discussion
We present a detailed analysis of the facilitators and barriers to the use of BCMA using data from qualitative interviews and observations to explore and explain quantitative findings. The robustness of this analysis is enhanced by the inclusion of three wards with differing levels of BCMA usage. Uniquely, we captured data encompassing the patient’s perspective, providing a more holistic understanding of how BCMA technology can affect those involved in medication administration, and potentially affect interactions between patients and nursing staff. Themes that originated during our qualitative analysis were then integrated with quantitative data to further understand patterns which were seen. These included a lower scan rate a night, and different rates between wards. Notably, we highlighted that a lower scan rate was associated with a less present “culture” of using BCMA, and less accountability for individuals associated with its use.
Mapping the findings of the thematic analysis to established behavioural science frameworks is a novel method of utilising qualitative data obtained regarding the facilitators and barriers to BCMA use. This was successful in furthering our understanding of the origins of existing behaviour, and provides a basis for the design of future behavioural science informed interventions aimed at improving scanning rates.
The barriers to BCMA identified within the thematic framework corroborate those identified in existing literature, including a perception that using BCMA was lengthier than previous practice and difficulties with scanning certain medications [
6,
12,
24,
25]. A less represented theme in previous literature was strongly present within our analysis; physical difficulties associated with the ergonomics of the newly introduced BCMA trolley.
Interestingly, the barriers to BCMA usage (including ergonomics of the BCMA trolley and difficulty scanning medications) were present across all three wards. This suggests that there is a significant behavioural component in nurses feeling empowered to overcome such barriers and continue using BCMA on some wards. The presence of barriers to BCMA use can lead to the adoption of workarounds – thereby avoiding the BCMA system yet still administering patient medications. Such workarounds include not scanning the patient / medication and avoiding secondary safety checks [
24]. It has been shown that typically these workarounds are developed within the first 24 h of using the technology [
13]. A qualitative study using focus groups found that 50% of participants used a workaround to the BCMA system in their previous shift, in general arising as a consequence of technology failure (including inability to scan) or a perception that the system is too time consuming [
26]. Our data corroborate the behaviour seen in these previous studies – as many nurses described using the original system (that did not require medication to be scanned, and still in place to allow for “unscannable medications” to be administered) due to the barriers identified in our analysis, such as short staffing, feeling time-pressured, or the ergonomics of the BCMA trolleys. Understanding the behaviours that result from such barriers can lead to thoughtful interventions that will enhance an individual’s capability to use systems such as BCMA, thereby avoiding workarounds becoming an “easier” or more straightforward option.
Whilst many published studies focus purely upon the barriers to BCMA use, our qualitative analysis yielded a large number of facilitators. These included the presence of a palpable culture of using BCMA, leadership encouraging and enforcing BCMA use, feeling confident and reassured by using BCMA (in terms of medications safety) and having received adequate and ongoing training. The importance of these themes were highlighted within the use of behavioural science frameworks. This knowledge of both facilitators and barriers to BCMA enhance the understanding of the behaviours associated with BCMA use, and provide a good basis from which to design interventions and create change.
Limitations
This work has several limitations. Whilst a broad range of nurses were purposively sampled (both in terms of BCMA experience and level of seniority), it is possible that some perspectives were not included – those with no interest in using the BCMA system may not have been inclined to participate in an interview; equally those who used it regularly may not have been motivated to discuss it further. Temporary and agency staff were not interviewed, again risking missing a different viewpoint on BCMA.
A range of patients were interviewed, however those who were very unwell or had communication difficulties were not suitable for inclusion. Whilst the viewpoints of patients interviewed regarding BCMA were generally positive, we may therefore have missed some patient experiences and perspectives.
A further limitation is that the interviews (both with nursing staff and patients) and observations were short in duration, and a limited number of observations were conducted. This reflected the time available for interviews given clinical commitments in the busy ward environment, and a desire not to over-burden patients. However, it may be that conducting longer interviews would have provided a richer data set, and more detail within each theme.
The use of behavioural science frameworks to further understand the behaviours associated with the barriers and facilitators to BCMA use is novel, and provides a helpful way of organising qualitative data so that it can be used to guide behavioural science informed interventions. However, the interview topic guide was designed to elicit facilitators and barriers rather than exploring each component of these behavioural science frameworks. As such, there may have been specific behaviours that were not explored, which may explain why only our data represented only 11 of the 14 TDF domains. Future studies could be designed using behavioural science frameworks in a more deductive manner, ensuring all TDF domains are investigated.
This was a service evaluation project within one UK NHS trust, and as such it was not designed to be generalisable. However, wards with similar constraints, staffing models and patient cohorts may benefit from the learning within this project when implementing BCMA in their own clinical environments, as barriers and facilitators may be similar.
Conclusion
This study presents a novel exploration of the experiences of BCMA technology in both nursing staff and patients, with an overwhelming perception across both participant groups that BCMA is beneficial for patient safety. This study utilised an explanatory mixed methods approach to obtain an in depth and detailed understanding of the facilitators and barriers to BCMA use on wards with high and low usage. Barriers and facilitators were present across all wards, emphasising the importance of motivations and behaviours in adopting new technologies. Of particular significance was the importance of a strong ward culture and accountability in motivating individuals to use BCMA. The study incorporated patient and nursing interviews to obtain a more holistic understanding of how BCMA technology has been adopted within the clinical environment, the challenges to adoption and how BCMA technology is perceived. Applying qualitative data to behavioural science frameworks provided an increased understanding of how these behaviours manifest, with 11 of 14 domains on the theoretical domains framework represented in our thematic analysis. This provided insight into the influences on nursing behaviour with patient safety a prominent motivator. The use of the COM-B framework highlighted areas of capability, opportunity and motivation within the observed and described behaviours that can act as foci for future interventions aimed at creating behaviour change.
Reassuringly, all nursing participants emphasised the benefits of BCMA for safety and confidence in their medication administration rounds. The use of wards with different scanning rates allowed barriers and facilitators to be identified, but also provided a sense of which barriers were modifiable and might be amenable as a point for behavioural science informed intervention design.
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