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Workarounds to hospital electronic prescribing systems: a qualitative study in English hospitals Keywords: health information technology, implementation, adoption, ePrescribing Word count: 3722 1

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Workarounds to hospital electronic prescribing systems: a qualitative

study in English hospitals

Keywords: health information technology, implementation, adoption, ePrescribing

Word count: 3722

1

Abstract

Background: Concerns with the usability of electronic prescribing (ePrescribing) systems can lead to

the development of workarounds by users.

Objectives: To investigate the types of workarounds users employed, the underlying reasons

offered, and implications for care provision and patient safety.

Methods: We collected a large qualitative dataset, comprising of interviews, observations and

project documents, as part of an evaluation of ePrescribing systems in five English hospitals, which

we conceptualised as case studies. Data were collected at up to three different time points

throughout implementation and adoption. Thematic analysis involving deductive and inductive

approaches was facilitated by NVivo 10.

Results: Our dataset consisted of 173 interviews, 24 rounds of observation and 17 documents.

Participating hospitals were at various stages of implementing a range of systems with differing

functionalities. We identified two types of workarounds: informal and formal. The former were

informal practices employed by users not approved by management, which were introduced

because of perceived changes to professional roles, issues with system usability and performance,

and challenges relating to the inaccessibility of hardware. The latter were formalised practices that

were promoted by management and occurred when systems posed threats to patient safety and

organisational functioning. Both types of workarounds involved using paper and other software

systems as intermediaries, which often created new risks relating to a lack of efficient transfer of

real-time information between different users.

Conclusions: Assessing formal and informal workarounds employed by users should be part of

routine organisational implementation strategies of major health information technology initiatives.

Workarounds can create new risks, but also present new opportunities for improvement in system

design and integration.

2

BackgroundHospital electronic prescribing (ePrescribing) systems offer considerable potential to improving the

quality, safety and efficiency of care.[1,2] However, they are not yet part and parcel of everyday

healthcare delivery in most United Kingdom (UK) hospitals.

New practices of delivering care and organising healthcare professional work associated with health

information technology (HIT) introduction, mean that users need to change existing practices to suit

the digital environment.[3-5] Workarounds are behavioural/technological strategies that users of

technology employ to deal with perceived problems that hinder them in achieving their goal.[6,7]

They often arise in the context of changed workflows brought about by the new technologies.[7,8]

Workarounds have commonly been viewed as negative in discussions on HIT, as the resulting

changes to working practices can pose significant risks to patient safety and organisational

functioning.[9-11] For example, Koppel and colleagues assessed workarounds in a barcode

medication administration system and found that these resulted in a range of adverse consequences

including administration of inappropriate medicines, unsuitable doses, and incorrect times.[12]

Some have suggested that workarounds can also wrongly convey that solutions to existing systems

problems have been found and that managerial interventions are not required.[11] However, the

prevalence of informal workarounds may reflect weaknesses in organisational learning mechanisms

insofar as local problem solving by individuals and groups is not used as a resource to develop robust

well-functioning systems, which is a defining characteristic of high reliability organisations.[13-18]

Being aware of workarounds and associated possible adverse consequences can help to mitigate

risks by effectively re-designing existing workflows and/or technological systems. Conversely,

although workarounds are often seen as disruptive and unintended from managerial perspectives as

they can reduce the amount of organisational control over practices on the ground,[19] they can

also be adaptive, particularly when exploiting the innovative capacity of system users and also

potentially identifying opportunities to enhance system design and work processes. In this capacity,

they can also allow users to mitigate perceived risks to patient safety posed by HITs – for instance,

when a system is not well designed and/or suited to the environment in which it is being deployed.

[19,20] They may also be able to help to identify inappropriate policies or business process changes

surrounding HIT that may interrupt the delivery of day-to-day care.[21,22] They can also serve as

intentional organisational strategies to help users engage with new systems for example by

maximising benefits and minimising disruption to existing procedures.[23]

3

The lack of existing empirical work and theorising surrounding workarounds in healthcare has

repeatedly been emphasised.[7,24] In particular, there is a need for better conceptual models of the

reasons underpinning workarounds.[24] To contribute to this evidence base, we examined

workarounds as part of a large national evaluation of ePrescribing systems in English hospitals.[4]

The aims of this work were threefold, namely to investigate: 1) what workarounds were employed

by users of ePrescribing systems; 2) why these were undertaken; and 3) how workarounds could

create and mitigate risks associated with the implementation and adoption of hospital ePrescribing

systems.

Methods

This work drew on a large dataset we have amassed in recent years undertaking a series of

longitudinal, multi-site, qualitative case studies of commercially available ePrescribing systems in

English hospitals. Previous publications from this dataset have related to product diversity and

markets,[25,26] procurement,[27-29] integration and interfacing,[30] user engagement,[31]

implementation processes,[3,32] and patient and vendor perspectives.[33,34] The avenues of

investigation emerged from the existing literature, initial themes inductively identified from early

results across sites, and our own experience from related evaluations of large-scale HIT initiatives.[5]

Participating hospitals were treated as individual cases.[35]

Approvals and permissions

We received Institutional Review Board approval from The University of Edinburgh, UK. An

application was reviewed by a National Health Service (NHS) Research Ethics Committee that classed

the work as a service evaluation. All necessary regulatory approvals were obtained from case study

sites and individuals gave written informed consent to participate. All names and places were

anonymised by the authors in order to protect the anonymity.

Sampling

Our purposeful sampling strategy aimed to identify English hospitals that had implemented, were in

the process of implementing, or were planning to implement ePrescribing systems during the

conduct of the research (a period of five years).[36] Prior to implementation of ePrescribing, sites

were using paper drug charts that nurses used to administer medication. As there were a limited

number of hospitals with ePrescribing systems when our work commenced in 2011, we sampled

those hospitals that were planning implementation of systems soonest. Organisations varied in

demographic characteristics (urban/rural, teaching/non-teaching), type of system (standalone

ePrescribing functionality versus as part of an integrated system), and time since implementation

4

began (or was about to begin) (see Table 1). Our initial point of contact was the Director of

Pharmacy or equivalent.[37]

Within hospitals, we sampled a range of managers (information technology and clinical

implementation team members) who were, or were to be, involved in implementing ePrescribing

systems. We then snowball sampled a range of users from these contacts including doctors, nurses,

pharmacists, allied health professionals, and pharmacy technicians. These varied in levels of

seniority and experience with ePrescribing system use.

Data collection

Methods of data collection included a mixture of interviews, non-participant observations, and

gathering of documents. This range of data sources permitted us to gain insights into individual

expectations and experiences (interviews), changes to work and organisational practices brought

about by the implementation (observations), and organisational implementation plans and

procedures (documents) (see Table 2).[38] Interviews were the main source of data and these were

conducted by experienced qualitative researchers (KC, HM, LL) at up to three different time points

(see Table 2). This longitudinal dimension allowed us to track changes over time and helped to

assess temporary and longer-term difficulties encountered as well as strategies employed to address

these.[39] Interviews were tailored to individual sites, professions and backgrounds, but generally

explored topics surrounding experiences and expectations, perceived changes to work practices and

organisational functioning, and barriers/facilitators to implementation and adoption.

We also wrote field notes of non-participant observations. These included following individual

system users throughout their normal working day and observing how they used the system.

Observations also involved attending strategic meetings in order to gain insights into organisational

dimensions of implementation strategies.

Organisational documents collected, consisted of business cases, implementation plans, work

practice maps, risk registers, and lessons learnt reports. These provided insight into the practices

that were perceived as compromising patient safety.

Interview data were digitally audio-recorded and transcribed verbatim. Data from all sources were

uploaded onto NVivo 10.[40]

Data analysis

We employed a mixture of inductive and deductive analysis. Data were analysed within cases first,

followed by cross-case analysis. Initially, the lead researchers (KC, HM, LL) coded individual case

study data, drawing on a system lifecycle model developed as a coding framework (the deductive

5

component).[41] This helped to conceptualise the implementation and adoption journey

surrounding ePrescribing technology and included temporal stages from initial conception, through

implementation, to system optimisation. During this process, we also noted emerging themes that

were not captured in our code book, but which occurred frequently across data sources and

individual participants (the inductive component).

Data across sites were then examined in designated data analysis meetings, where we drew on the

Theory of Workarounds as an analytical lens.[6] The Theory of Workarounds is concerned with

different types of workarounds, attempting to explain why they occur, and describing their

consequences. It suggests that workarounds emerge, based on situational characteristics and the

goals and needs of different stakeholders. The decision as to whether to employ a workaround is

assumed to be based on perceived benefits, risks and costs. The framework therefore offered an

appropriate lens to examine emerging issues across sites and contributed to a nuanced analysis of

emerging issues from a range of different perspectives.

The credibility of findings was enhanced through triangulating data sources obtained through a

range of methods, keeping reflexive field journals to record any potential researcher bias, and

through active involvement of the extended research team in the analysis. This included examining

codes and discussing negative cases.

Results

We conducted 173 interviews, 24 observations and collected 17 documents between December

2011 and March 2015 (see Table 2).

6

We identified different types of workarounds employed by users of the new technology. These often

involved using paper and other technologies for intermediary storage of information (see Table 3).

Workarounds were most commonly associated with perceived limitations in system design,

potentially leading to patient safety risks. Our inductive analysis indicated that they could be divided

into ad-hoc workarounds, which were conceptualised as informal practices employed by users that

were not approved by management (including the implementation team and senior clinical

managers), and formalised workarounds, which were conceptualised as necessities that were

accepted and sometimes actively promoted by management. An overall graphical presentation of

our findings is given in Figure 1.

Reasons for employing workarounds

Contingent nature of healthcare professional work practices and lack of system flexibility The main underlying reason for adopting workarounds appeared to be the extraordinary complexity

and variability of healthcare workflows, which were not well catered for in existing system designs.

As a result, users had to “find shortcuts” (Site D, Pharmacy Technician, T3) or “find ways around”

(Site E, Nurse, T2) the way the system defined their workflows. The limited capacity of systems to

cater for a diversity of practices (e.g. through libraries of pre-programmed options that could be

locally configured without rewriting code) was seen as a consequence of these being relatively

immature solutions. This was an issue both in relation to stand-alone systems and integrated

systems. In addition, information displays often failed to address the exigencies of particular

moments of healthcare work, necessitating for example a cumbersome switching between screens.

… at the moment [warfarin and International Normalised Ratio (INR)] run two different screens kind

of within the system so [users] need to go and look at what the recent INR’s are, go into the drug

chart and see what the doses of warfarin have been and go to a different screen to prescribe and

that just isn’t a tidy way to work. (Site D, Implementation Team, T2)

Compensating for the increase in workloads associated with use of the system

Another underlying reason for employing workarounds was the perceived necessity to compensate

for the increased time it took to use the systems. Here we found that workarounds helped users to

accommodate the increased time required to perform tasks.

Everything is taking us a lot longer to do…and that’s why we’re trying to find ways around and just

streamlining the process for us so that we can do as much as we can. (Site D, Pharmacy Technician,

T2)

7

In stand-alone systems pharmacists, for instance, would verify orders in batches, as doing each order

separately was perceived to take too long, finding a time and perhaps a quiet place (not in the

dispensary) where they would not be interrupted.

…we now do like [system] slots where we have to sit and verify the prescription separately in the

dispensary because it takes a lot longer to do and needs more concentration than what you would

get in the dispensary… by the time you’ve checked the bloods, checked the other [paper patient

notes], converted it, rang the doctor, gone back to it, you need to do that without being constantly

interrupted like you would be in the dispensary. (Site D, Pharmacist, T1)

Changes to professional roles and responsibilities resulting from system design

Workarounds were also employed to mitigate perceived changes to professional roles and

responsibilities. For instance, consultants in many cases delegated use of the system to their juniors:

I think there are some consultants who still sort of need their inbox to be managed by their secretary

… And then when it comes to them doing the ward rounds, they would tell the juniors what to

prescribe and what to do so they aren’t very hands-on… (Site D, Pharmacist, T1)

Types of workarounds employed

Using other systems as intermediary storage of informationWe frequently observed users drawing on other electronic systems as intermediary storage of

information. This kind of workarounds was more common with stand-alone systems (i.e. those that

were not designed to integrate with medical notes), and included for instance using Microsoft Word

to store temporarily text that needed to be transferred from the Patient Administration System.

It’s just a [Microsoft] Word document that we cut and paste in, that we save on our desktops… (Site

C, Pharmacist, T3)

Emails were also used intermediaries. For example, a workaround employed by pharmacists related

to requesting medication. As each requested medication from a nurse resulted in a printed request

form in the dispensary (this process was not fully electronic due to limited functionality being

deployed at the time), pharmacists designed a workaround that would allow nurses to request items

through informal means (an email) which were then translated by pharmacists into a formal

inpatient order on the ePrescribing system. However, this workaround was subsequently abandoned

due to potential legal issues and increased workloads.

8

…the nurses were basically sending us an electronic message to say “please can you supply these four

items”… and then someone in pharmacy was translating that onto the inpatient order and printing

off one piece of paper requesting those four items. (Site D, Pharmacist, T2)

Similarly, paper was often used as an intermediary means to store information in instances where

users did not have easy access to electronic means or were too busy to transfer information

electronically. Paper was also utilised when users wanted to memorise something that needed to be

transferred from one screen and to another (store and transmit).

The pharmacist goes back to the computer and puts a note onto a medication on [system]. He then

takes a piece of paper and writes on it that he has left a note on [system] and where. He writes

“[name of person] please” on it and states that “this is how I tend to communicate with doctors”.

This is funny – he is writing a paper note to remind doctors to look at an electronic note! (Site A,

Pharmacist, Observation, T1)

Other types of workarounds observed included entering information in batches to save time, and

ticking boxes in order to satisfy the demands of the system (see Table 3).[20,42,43]

Consequences resulting from workarounds: the introduction of new risksWorkarounds sometimes created new risks, such as delayed access to information or difficulty

finding information for other professions. This was the case, for instance, when users did not follow

the process dictated by the system in the right order. Here, doctors sometimes prematurely ticked a

box in the system and then subsequently changed their mind, which was then not reflected in the

system.

…if you do the histories first, it’s very quick, if you don’t, you’ve got to put each one in and then it

doesn’t then come right into the discharge letter so the process is really important but I can’t make

people do it, the system doesn’t make you do it right. (Site D, Consultant, T2)

Similarly, some systems required users to refresh the screen to look at the most recent version of

the medication chart. The need to manually refresh the screen meant that the information displayed

might not be up to date and this could create the scope for errors.

I’d like to do away with the concept that you have to refresh a drug chart I think that’s really, really

dangerous because obviously you can train people as much as possible to say refresh it before you do

anything but it’s still an obvious banana skin lying around just for someone to slip over. (Site D, Junior

Doctor, T2)

9

In some cases, shortcuts resulted in other healthcare professionals not finding the necessary

information on the computer system. For example, in one hospital, we learned that nurses would

tick a box in the system that stated “drug not administered” (even though the medication was

administered but not in line with the timing schedule of the system) as this was seen as the only way

to complete a routine on the screen. When prompted for a reason by the system, then they would

tick another box stating “see notes” to avoid having to complete what they perceived to be

cumbersome patient records in the system. No note was however added. This presented issues for

the pharmacist reviewing the medications who could then not find out why a medication had not

been given.

…what you find is that [nurses] tend to tick any old box that doesn’t necessarily relate to why the

patient hasn’t been given the drug, so the concern is that the common one that they tick is “see

notes” and then there’s no note generated to say why the drug wasn’t given. (Site A, Pharmacist, T1)

Managers stated that appropriate training could to some degree minimize workarounds that were

viewed as unnecessary.

I can’t impose any workaround I have to work within the parameters of the system and it’s about

identifying what the issues are and just maybe training people the best way to use the system. (Site

C, Pharmacists, T3)

Formalising strategies: management efforts to mitigate risks associated with

workarounds

We also identified formalised workarounds that were seen as necessary by the organisation to

maintain organisational functioning and patient safety while using an “imperfect” technical system

These might arise because of a lack of integration in stand-alone systems, where limited

functionality had been implemented in early integrated system implementations, where there were

usability problems, or where adopter organisation practices diverged from those embedded in the

software package. They were therefore promoted by management, shared across specialties, and

expected of users.

We still have frustrations around the basic software itself…but quite often we can develop

workarounds… (Site A, Implementation Team, T2)

These formalised workarounds were promoted when persistent problems in technical design

10

threatened patient safety (as opposed to issues associated with increased workloads and changing

roles of staff). Some were designed to facilitate more efficient information transfer. For instance,

when creating discharge medications on the ward, the system would not automatically alert the

pharmacists to initiate the dispensing of discharge medications. Therefore, doctors on the ward and

pharmacists agreed that a “fake drug” would be created in the system in order to alert pharmacists

that discharge medications were needed.

Now what they [doctors] do is they, on the inpatient order on the screen, they right click “convert to

prescription”, and they end it with a discharge medication list that they've created from the inpatient

list. Which is obviously just the things they need the patient to go home on, with appropriate course

lengths for antibiotics and stuff like that. But there's no way for pharmacy to identify that that's been

done. So the way we got around that is we created a fake drug called “TTO [To Take Out] for

discharge” so the doctor would complete all the medicines and then prescribe TTO for discharge

which appears on the inpatient order. (Site D, Pharmacist, T1)

Similarly, if prescribers wanted to use specific medicines that were not held in the system, then

workarounds drawing on paper systems were created to compensate for this.

They are things that we can’t do, you know, for example if a prescriber wants to prescribe and it’s not

on the system then the workaround this is to put in a generic drug and then we write in a note about

what the drug is… (Site C, Pharmacist, T3)

In other instances, the system made actions “too easy” for users. This was the case when nurses

ordered medication at the click of a button, without checking which medicines had already been

ordered as this would involve navigating to another screen. The increased ease of ordering resulted

in a greater number of inappropriate and duplicate orders which pharmacists had to verify. As this

was viewed as a time consuming activity in the ePrescribing system, management created a

workaround that allowed nurses to order medications in batches by email.

If an order is created using the system then it still needs somebody to go through and cross off the

things that aren’t needed and we’ve created a system whereby nurses can identify electronically that

they wanted something and send an email saying “we want this, this and this” which obviously we

can look at on the electronic system but we just found it loads of duplication, it was too easy to order.

(Site C, Pharmacist, T3)

11

Temporality of workaroundsImproving patient safety was an important motivator for management to help users compensate for

known technical limitations by mitigating known risks associated with the system. Many of these

were temporary and associated with the gradual adoption and implementation of the system, which

necessitated some degree of parallel paper and electronic means being used alongside each other.

This was perceived to create risks of error.

A&E [Accident and Emergency] our emergency department still don’t use [system]…they still write

doses of medications on their casualty sheet, on paper…and we have had incidents where something

is prescribed in A&E on paper, the nurses and medics don’t realise and they get a second dose within

a short time for example. (Site A, Consultant, T1)

In some instances, workarounds were also found to provide a quicker way for organisations to

resolve the gap between local working practices and standardised ePrescribing packages than

seeking to modify or customise the package.

Yes so it’s not how [system supplier] envisage it being used, it’s how we are then adapting the system

to give it things that we want. And what you’ll find is that we’ll all do that in a slightly different way…

because we’ve worked a workaround round. (Site C, Pharmacist, T1)

However, finding appropriate workarounds proved difficult or even impossible in some instances

where efficient organisational functioning was threatened. In these instances, where workarounds

could not be found, hospitals argued for the need to change the technical system.

… a workaround was brought up which was declined for governance reasons…it actually created a

complete new level of work to be done (Site E, Implementation Team, T2)

Discussion

Workarounds arise from the strategies employed by individuals or groups of users of HIT to mitigate

perceived barriers to completing tasks. They can also become incorporated as part of organisational

mandates to mitigate risks to patient safety brought about perceived shortcomings in the usability of

new systems. We have found that, on occasions, these workarounds created new often

unanticipated and unintended risks to patient safety.

The motivations to introduce workarounds were mainly associated with concerns surrounding poor

usability, but in line with other work in the area, we also observed other motives for example where

12

personal values were threatened or where systems did not align with professional norms or broader

conditions (e.g. time pressures).[18,44-46] Although some types of workarounds observed here are

consistent with previous research, particularly in relation to the use of paper and other software

systems as intermediaries (Table 3),[20,42,43] and dealing with perceived system limitations,

obstacles to work routines, threats to time and pretending compliance;[18,47-52] we also found

some strategies employed by users that involved delegating input of electronic information and

compromising the temporal accuracy of electronic systems by deferring information input.

The distinction between informal and formalised workarounds can be particularly helpful in

promoting organisational learning, cooperative working and promoting patient safety.[13-18] It

builds on the notion that workarounds can be used as intentional organisational strategies to help

users gradually get used to new systems.[5,23] Problems may arise if these are not addressed in a

pro-active manner to create more robust and well-considered solutions. If, for instance, consultants

keep delegating data input to juniors (something than can be seen as first-order problem solving),

then this staff group may become increasingly overloaded. If management is not aware of this, then

appropriate interventions such as, for example, the employment of data entry clerks, are unlikely to

be implemented in time. If, workarounds are formalised then it is easier to track and anticipate

emerging issues and embark upon mitigating action to address emerging systemic issues. This

suggests that workarounds only become a threat to organisational functioning if they are not

formalised. The question is when and what to formalise and this could be a fruitful area of future

work in this area.

The frequent use of paper and other software systems as intermediaries in both standalone and

integrated systems, may suggest a lack of system integration in the ePrescribing solutions we

studied. They may therefore present temporary workarounds that may attenuate as increasing

system functionality is implemented and systems are progressively integrated.[52]

Workarounds can both introduce new risks to safety (most commonly associated with a lack of up-

to-date clinical information) and mitigate risks resulting from poor functionality and/or usability. As

they often involve innovative user behaviours, they may therefore also be used as a source of design

enhancements.[20] However, it is also important to keep in mind that workarounds can change over

time and may become inter-dependent with each other. They may also be seen as

organisational/user ways to tailor systems to contexts of use and thereby impact on system

standardisation, as well as system maintenance and upgrades. As such, they may be conceptualised

as part of the tacit skills and cooperative activities through which work is accomplished as an

everyday, practical activity.[53,54] This suggests that rather than trying to demonise these kinds of

13

informal practices, they should be made visible as they may be needed to “get a job done”. In doing

so, it is important to keep in mind that different viewpoints are at play and views on which action

needs to be completed often vary widely across organisational stakeholders.

It is therefore important to track how formal and informal workarounds are operationalised over

time. Management tools incorporating such assessments exist and studying their routine use in

healthcare settings is an important area for future work. For example, the Workaround Design

System is a tool that can help to anticipate and address undesired workarounds.[55] Similarly, the

Workaround Process Modeling Notation incorporates workarounds into business process modelling,

thereby helping to anticipate how changes to workflows are likely to be dealt with by users.[56]

However, such tools place the onus of modelling and design on managers, which may lead to

inadequate reflection on informal practices. They also rely on the willingness/ability of developers to

change systems accordingly, which is not always possible in large-scale commercial systems. In

addition they do not address issues surrounding the de-activation of workarounds once new

functionalities are introduced.

We have collected a sizeable longitudinal qualitative dataset drawing on a variety of perspectives

and data sources. Although this work has provided some important insights into the under-theorised

area of workarounds and their consequences in HIT, there are also a number of limitations. Firstly,

informal workarounds are hard to research and observe – particularly those that are undesired by

management. As a result, we expect that users may not have reported/exhibited many informal

workarounds. Secondly, workarounds can be subjective and hard to define. What constitutes a

workaround from a managerial perspective may not necessarily be perceived as such from a user

perspective and vice versa. Similarly, healthcare professions may view workarounds differently.

Thirdly, some of the systems implemented in each hospital were originally designed for use in

countries other than the UK. This may have resulted in more workarounds used due to international

differences in workflows. In addition, we did not gain insights into the nature of workarounds

employed with paper systems, so we did not obtain any insights in relation to the nature of

workarounds existing with these and how they changed with the introduction of the system.

Conclusions

This work has helped to provide insights into the way users and organisations have coped with the

perceived limitations in functionality and usability of existing ePrescribing systems being deployed in

English hospitals. Issues with information integration in particular seem to have contributed to a

range of workarounds designed to bridge informational gaps. This highlights that rule-based

14

accounts of organisational activities need to move away from viewing workarounds as a risk towards

viewing them as a necessity

The differentiation between informal and formal workarounds now needs to be taken forward in

existing management tools designed to anticipate risks and opportunities created through

workarounds employed by users. Essential to this will need to be recognition that informal

workarounds may require system re-design and/or need to be formalised in order to better

anticipate potentially adverse consequences.

15

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20

Figures and tables

Table 1: Characteristics of case study hospitals

Hospital identifier and

characteristics

Implemented system Timeframe of

implementation

Site A: urban, acute care Commercial ePrescribing system

ePrescribing not part of a wider hospital-wide

information system

Began implementation

in 2010

Site B: rural, acute care,

teaching

Commercial ePrescribing system

ePrescribing as part of an integrated hospital

information system

Began implementation

in 2009

Site C: urban, acute care,

teaching hospital

Commercial ePrescribing system

ePrescribing as a standalone application

Interfaces built to enable interoperability with the

wider hospital information systems

Began implementation

in 2013

Site D:

urban, acute care, teaching

Commercial ePrescribing system

ePrescribing as part of an integrated hospital

information system

Began implementation

in 2014

Site E: urban, acute care,

teaching

Commercial ePrescribing system

ePrescribing as part of an integrated hospital

information system

Began implementation

in 2014

Table 2: Summary of the dataset

Hospita

l

Interviews Documents Observations Data collection period

Site A Time 1 (T1):

23

Time 2 (T2):

eight

Eight

documents

Eight observations (12.5

hours)

Notes from recruitment

meeting

T1, after implementation: December

2011 - August 2012

T2, after implementation: January

2014 - February 2015

21

Site B T1: 20

T2: 11

Three

documents

Four observations (nine

hours)

Notes from recruitment

meeting

T1, after implementation: May 2012 –

June 2013

T2, after implementation: December

2014 - March 2015

Site C T1: 13

T2: 18

T3: 20

Nine observations (11

hours)

T1, before implementation: May –

August 2012

T2, after implementation: May – July

2013

T3, after implementation: August -

November 2014

Site D T1: 15

T2: 14

Two

documents

Notes from recruitment

meeting

T1, before implementation: July-

October 2013

T2, after implementation: June-July

2014

Site E T1: 23

T2: 17

Three observations

Notes from recruitment

meetings

T1, before implementation: April-July

2013

T2, after implementation: November

14 - March 15

Table 3: Types of workarounds identified and how these align with the current literature

Workarounds observed Workarounds identified in the literature

[20,44,45]

As a result of the cumbersome switching

between screens and a lack of information

integration between systems, users in some

instances used other programs such as Microsoft

Efficiency (when paper or other software was

perceived to improve efficiency)

22

Word as intermediary storage of information.

Due to the perceived necessity to compensate

for the increased time it took to use the system,

we found that users drew on paper and other

software systems to accommodate the increased

time required to perform tasks.

Knowledge/skill/ease of use (when paper or

other software use was perceived to be easier)

Paper was often used as an intermediary storage

of information e.g. to remind doctors to look

something up on the system.

Memory (using paper or other software as a

reminder)

“Tricking the system” (e.g. inserting inaccurate

or incomplete information to be able to click

through screens, temporary data, insertion of

pre-defined terms).

“No correct path” (can consist of ticking an

option that is incorrect to be able to move on in

the system, gaming to satisfy system demands,

using incorrect electronic documentation to

reflect paper-based plan)

Not observed Sensorimotor preferences (paper preferred as it

is more tangible)

Not observed Awareness (paper or other software can serve to

more effectively draw attention to information)

Paper was often used as an intermediary means

to store information in instances where users did

not have easy access to electronic means or

were too busy to transfer information

electronically. Paper was also utilised when users

wanted to memorise something that needed to

be transferred from one screen and to another

(store and transmit).

Task specificity (using paper as it can fulfil certain

needs for tasks better than the system)

If prescribers wanted to use specific medicines

that were not held in the system, then

workarounds drawing on paper systems were

created to compensate for this

Task complexity (EHR present problems to

workflow so paper preferred)

Cumbersome switching between screens

necessitated users to find shortcuts.

Data organization (difficult to view data in

desired format in EHR so drawing on paper or

other software)

Not observed Longitudinal data processes (user needs quick

23

and repeated data recording/processing)

Not observed Trust (in paper when compared to EHR)

Not observed Security (perceptions around EHR security and

view that paper is safer)

Delegating input of electronic information Not observed

Deferring input of electronic information Not observed

Entering electronic information in batches Not observed

Using electronic shortcuts to save time Not observed

Cross-referencing to paper notes Not observed

24

Figure 1 – Illustration of different types of workarounds observed and associated consequences

25

Informal workaround Formal workaround

New risks relating to information transfer

Time pressure

Changes to professional

roles

Issues with system usability

Challenges surrounding

hardware and space

Paper and other software systems used as intermediaries

Issues with

system usability

Threats to

organisational

functioning

New opportunities for benefits/rethinking processes