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What context features might be important determinants of the effectiveness of patient safety practice interventions?

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Abstract

Differences in contexts (eg, policies, healthcare organisation characteristics) may explain variations in the effects of patient safety practice (PSP) implementations. However, knowledge of which contextual features are important determinants of PSP effectiveness is limited and consensus is lacking on a taxonomy of which contexts matter. Iterative, formal discussions were held with a 22-member technical expert panel composed of experts or leaders in patient safety, healthcare systems, and methods. First, potentially important contextual features were identified, focusing on five PSPs. Then, two surveys were conducted to determine the context likely to influence PSP implementations. The panel reached a consensus on a taxonomy of four broad domains of contextual features important for PSP implementations: safety culture, teamwork and leadership involvement; structural organisational characteristics (eg, size, organisational complexity or financial status); external factors (eg, financial or performance incentives or PSP regulations); and availability of implementation and management tools (eg, training organisational incentives). Panelists also tended to rate specific patient safety culture, teamwork and leadership contexts as high priority for assessing their effects on PSP implementations, but tended to rate specific organisational characteristic contexts as high priority only for use in PSP evaluations. Panelists appeared split on whether specific external factors and implementation/management tools were important for assessment or only description. This work can guide research commissioners and evaluators on the contextual features of PSP implementations that are important to report or evaluate. It represents a first step towards developing guidelines on contexts in PSP implementation evaluations. However, the science of context measurement needs maturing.
What context features might be
important determinants of the
effectiveness of patient safety practice
interventions?
Stephanie L Taylor,
1,2
Sydney Dy,
3
Robbie Foy,
4
Susanne Hempel,
1
Kathryn M McDonald,
5
John Øvretveit,
6
Peter J Pronovost,
3
Lisa V Rubenstein,
1,2
Robert M Wachter,
7
Paul G Shekelle
1,2
ABSTRACT
Background: Differences in contexts (eg, policies,
healthcare organisation characteristics) may explain
variations in the effects of patient safety practice (PSP)
implementations. However, knowledge of which
contextual features are important determinants of PSP
effectiveness is limited and consensus is lacking on
a taxonomy of which contexts matter.
Methods: Iterative, formal discussions were held with
a 22-member technical expert panel composed of
experts or leaders in patient safety, healthcare
systems, and methods. First, potentially important
contextual features were identified, focusing on five
PSPs. Then, two surveys were conducted to determine
the context likely to influence PSP implementations.
Results: The panel reached a consensus on a taxonomy
of four broad domains of contextual features important
for PSP implementations: safety culture, teamwork
and leadership involvement; structural organisational
characteristics (eg, size, organisational complexity or
financial status); external factors (eg, financial or
performance incentives or PSP regulations); and
availability of implementation and management tools
(eg, training organisational incentives). Panelists also
tended to rate specific patient safety culture, teamwork
and leadership contexts as high priority for assessing
their effects on PSP implementations, but tended to
rate specific organisational characteristic contexts as
high priority only for use in PSP evaluations. Panelists
appeared split on whether specific external factors and
implementation/management tools were important for
assessment or only description.
Conclusion: This work can guide research
commissioners and evaluators on the contextual
features of PSP implementations that are important to
report or evaluate. It represents a first step towards
developing guidelines on contexts in PSP
implementation evaluations. However, the science of
context measurement needs maturing.
INTRODUCTION
Many practices have been implemented to
improve the safety of patients, such as use of
a checklist to prevent blood stream infec-
tions. The effectiveness of these patient safety
practices (PSPs) can vary markedly between
different settings. Such variations in effec-
tiveness are likely to be attributable to varia-
tions in a range of contextual factors
affecting the implementation of PSPs, such as
policies, regulations, or organisational char-
acteristics.
1e10
That is, some contexts are
likely to affect the effectiveness of PSP
implementations. However, as Eccles and
colleagues (2009) noted, despite the effect
that context can have on PSP implementa-
tion, ‘the role of context in intervention
development needs to be better under-
stood’.
1
The lack of understanding in the
field of patient safety is especially evident
when considering the role that particular
contextual factors have on PSP interventions.
Our lack of understanding could in part be
due to the complex nature of contexts. That
is, the importance of particular context
features might depend on the infancy or
maturity of the PSP being implemented, the
stage of the PSP implementation, the specific
component when considering multi-compo-
nent PSPs, the level at which the PSP is
targeted (eg, national-level, hospital-level or
unit-level efforts), and the type of PSP (ie,
some contexts may be somewhat PSP
specific). Our poor understanding of the
effects of contextual factors on PSP inter-
ventions also could be because of the paucity
of empirical evaluations of the issue,
1
RAND Corporation, Santa
Monica, California, USA
2
Veterans Administration,
Greater Los Angeles, Los
Angeles, California, USA
3
The Johns Hopkins
University School of
Medicine, Baltimore,
Maryland, USA
4
Leeds Institute of Health
Sciences University of Leeds,
Leeds, UK
5
Stanford University,
Stanford, California, USA
6
Medical Management
Centre, The Karolinska
Institutet, Stockholm,
Sweden
7
University of California, San
Francisco, California, USA
Correspondence to
Stephanie L Taylor, VA
Greater Los Angeles, 16111
Plummer St., Bldg. 25 (152),
North Hills, CA 91343, USA;
stephanie.taylor8@va.gov
Accepted 1 April 2011
Published Online First
26 May 2011
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although contextual factors have been widely examined
in the organisational science and business management
fields.
11 12
For us to better understand the effects of context on
implementations, some contexts should be measured
and analytically assessed. However, as Øvretveit and
colleagues report, few studies assess the effect of context
on PSP implementation and many studies only describe
a few contexts.
13
Some exceptions exist. For example, as
part of the evaluation. For example, as part of the eval-
uation of the Agency for Healthcare Research and
Quality’s (AHRQ) patient safety contract portfolio, one
study found that AHRQ grantees of health information
technology implementations tended to report several
contextual factors as contributing to their implementa-
tions’ success: commitment from top management,
dedicated staff and financial resources, an open process
to encourage buy-in and enthusiasm by end users, and
sheer persistence.
14
Another study conducted as part of
that evaluation reported on several structural compo-
nents that AHRQ patient safety grantees considered
essential to being in place prior to implementation, such
as an institutional commitment and leadership, trust
among participating stakeholders, a supportive organ-
isational culture, and prior experience with perfor-
mance improvement.
15
Although a few additional
studies specifically focused on patient safety
16
or other
types of intervention implementations have examined
the effect of context,
17 18
most do not.
Another potential reason we understand less than we
do about the role of contextual factors on PSP imple-
mentations is that many evaluations report only basic
information on contextual features. For example,
a review of health information technology studies found
that the interventions’ contextual features were poorly
described.
19
Additionally, a recent paper noted that
many published reports of clinical interventions in
general fail to adequately describe the context in which
interventions are implemented such that there is inad-
equate information for replication and/or implementa-
tion.
20
Similarly, an analysis of quality improvement
strategies identified a need for more detailed descrip-
tions of both interventions and contextual features to
inform interpretation, replication and local adaptation
when choosing potential intervention strategies for
particular circumstances.
21
This would allow readers to
answer the question, ‘Is this intervention likely to work
in our circumstances?’
However, it is difficult to prioritise which contextual
features to assess or only describe if there is a poor
understanding of which contextual features are likely to
modify the effectiveness of a PSP intervention. Given
that such a wide range of contextual features exist, it is
important to avoid calls for the reporting of more and
more contextual features to an excessive level of detail,
which risks paralysing researchers and readers alike.
Therefore, the challenge is to identify which contextual
featuresdgiven our current level of understandingdare
most likely to inform understanding and generalisability.
Admittedly, some contextual features are generally
thought to be important (eg, having a culture of safety
and leadership support) but the patient safety field is far
from in agreement on whether these are specific to
safety issues or any organisational change effort in
general and what other types of patient, hospital unit,
hospital, or external contextual features are important
enough to assess or at least describe in research papers.
In sum, the role of contextual features in PSP imple-
mentations appears important, although there is little
evidence or consensus around which contexts are the
most salient for PSP implementations, subsequently
hindering the generalisability and reporting of evalua-
tions. The authors addressed this gap by presenting the
conceptual domains of contexts and the specific
contextual features within those domains that experts
considered high priority for assessment or description.
Experts were asked to distinguish between assessing the
effects of contextual features and only describing
contextual features in research papers. If researchers
more richly describe the contexts in which PSP inter-
ventions are implemented, it might enhance readers’
ability to determine if the study is likely to work in their
own set of circumstances. However, assessing some
potentially important contexts might help move the field
forward by building the evidence for the importance of
some contextual features to PSP implementations.
METHODS
Throughout the study, the authors used an iterative
process of formal group discussions with a 22-member
technical expert panel composed of patient safety
experts, clinical and healthcare system leaders, and
methodological experts.These discussions were based on
the results of targeted literature reviews and two surveys,
with the purpose of identifying which contextual
features are likely to have most relevance to and impact
upon a diverse range of five PSP’s. We used an expert
panel, given that the issue of the importance of context
in patient safety is relatively nascent. It was formed as
part of a larger study and was composed of international
experts in specific patient safety practices; methodolo-
gists from fields including epidemiology and statistics,
program evaluation, organisational behaviour and
human factors engineering; senior health system exec-
utives responsible for implementing safety practices; and
leaders of national and international patient safety
organisations. Throughout this study, an iterative
612 BMJ Qual Saf 2011;20:611e617. doi:10.1136/bmjqs.2010.049379
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deliberative process with the panelists was used,
involving structured discussions (first by telephone and
then face-to-face) and two surveys.
Selection of PSPs
The authors grounded their efforts to select contextual
features using five diverse and representative PSPs. To
select the PSPs, a list of possible PSPs was generated from
a variety of sources, including the AHRQ Evidence-based
Practice Report Making Health Care Safer
22
, the National
Quality Forum’s Safe Practices 2009 update,
23
and input
from relevant organisations including AHRQ and the
Institute for Healthcare Improvement.
24
Through an
iterative process of developing a framework to classify
PSPs based on their diversity and representativeness, and
based on input from the expert panel, five PSPs were
selected:
25
1. the universal protocol to prevent wrong site, wrong
procedure, wrong person surgery;
2. medication reconciliation;
3. computer physician order entry and computer
decision support systems;
4. practices designed to reduce the rate and risk of falls;
and
5. use of a checklist to prevent blood stream infections.
These were representative of PSPs in different settings
(eg, hospitals, clinics and nursing homes), and
addressed both PSPs that were subject to regulatory
authority and those that were not, and those that were
aimed at preventing very rare and those that targeted
more common safety events.
Selection of initial set of contexts and first survey
To guide the panelist discussion and surveys, first, a list
was compiled of contextual features reported in seminal
PSP papers and these were grouped into nine broad
conceptual domains. The authors recognised that some
contexts might affect the implementation of only some
PSPs while other contexts might affect the interventions
of most PSPs. Given the long list of potential contexts
that could have been examined, the authors tried to
examine those contexts that might be important to many
PSPs. (However, the panelists were specifically asked in
the second survey (table 1)which of the five PSPs each
context might be important to.) Also, some of the
context features could be considered interventions
(eg, the presence of information systems and decision
support). When these already exist across both inter-
vention and control sites in an experimental design, and
the intervention being evaluated is independent of or
additive to them, such features represent part of the
contextual background to the evaluation. Given the
purpose of this study was to examine how context might
affect PSP implementations, the panelists’ discussions
and survey responses of contexts were based on the
features as contexts and not part of the intervention.
The authors then discussed the domains and the
specific contextual features during the first meeting with
the panelists to help determine on which features
panelists should be surveyed. After the meeting, a web
survey was used to ask the panelists to rate the relative
Table 1 Contexts judged as high priority for assessing (A)
their effects on PSP implementations or only for describing
(D) in papers
Response options were: 1. yes, it is a high priority for assessing the
influence of context on the success of that implementation, 2. yes, it
is a high priority only for describing the contexts, and 3. no, it is not
a high priority. U¼more than 33% of experts reported this
response (the responses were qualitatively greater than chance, so
if a context is not checked, more than 33% of respondents did not
think the context was a high priority).
Shaded items were not included in the survey for that particular
PSP given they were less relevant.
IT, information technology; org, organization; PSP, patient safety
practice; universal protocol, for preventing wrong procedure, wrong
site, wrong person surgery; bloodstream infection checklist,
catheter related.
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importance of the contextual features to each of the five
PSPs, from ‘not very important’, ‘important’, ‘extremely
important’, to ‘important or extremely important only in
some settings’, and to ask them to consider nursing
home, inpatient, outpatient, and community settings.
The purpose of the first survey was to guide the devel-
opment of the second survey and the context taxonomy
(as described below).
Development of the context taxonomy
A taxonomy of important contextual features was
developed using the features that were rated in the first
survey as ‘important’ across all five PSPs or ‘very
important’ across four or five PSPs. Lower scoring
contextual features, while acknowledged as potentially
important, were not discussed further. This taxonomy
was first proposed by the project team and then
discussed and agreed upon by the panelists as an easy
way to conceptualise the various types of contexts that
might affect PSP implementations. The panelist
exchanges also resulted in some contextual features
being divided into more homogenous groups and other
new features being added and included in the second
survey.
Second survey
The authors held a second intensive discussion about
contexts with panelists and based on this discussion and
the results of the first survey, a second web survey was
designed for panelists to prioritise the list of contextual
features. For each feature, the following question was
asked: Is it a high priority to collect data on [context]
for describing the context and/or for assessing the effect
of context on this PSP implementation?’ Response
options were: 1. yes, it is a high priority for assessing the
influence of context on the success of that imple-
mentation, 2. yes, it is a high priority only for describing
the contexts, and 3. no, it is not a high priority. Both this
survey and the first survey had a 95% (n¼22) response
rate. The authors conducted a descriptive analysis
(frequencies) on the results of the surveys.
RESULTS
Box 1shows the 42 contextual features mentioned in the
seminal PSP papers and how the project team organised
them into nine conceptual domains. One of these
domains was labeled ‘cultural organisational factors’, and
one of the contexts within that domain was ‘safety
culture’. It is worth noting that there are numerous
definitions of organisational culture in general,
26 27
including the informal ‘the way we do things around
here’. On safe culture specifically, Pronovost and Sexton
28
suggest that, ‘In a safe culture employees are guided by an
organisation-wide commitment to safety in which each
member upholds their own safety norms and those of
their co-workers.’ When the panelists reviewed this list,
they had a lively discussion on what contexts might affect
Box 1 Contexts mentioned in published seminal
evaluations of patient safety practices (PSPs)
-External environmental factors
– External PSP-related regulations or policies
– Rural versus urban environment
– Geographic location other than rural/urban
– Medical payment environment
– External incentives/motivators
-Structural organisational demographics
– Unit or organisational characteristic
– Academic affiliation
– Organisational size
– Organisational affiliations other than academics
– Economic status
– Structural complexity
– Internal organisational incentives
-Cultural organisational factors
– Safety culture
– Teamwork
– Innovativeness
– Readiness for change
– Need for change
-Collaboration, resources and leadership
– Collaboration across healthcare professionals
– Collaboration with health services researchers
– Collaboration with quality improvement experts or
facilitators
– Quality improvement or innovations funding
– Leadership involvement
-The presence of information systems and decision
support
– Information systems
– Electronic medical record
– Computer reminders
– Guidelines
– Training resources
-Care coordination, management and patient self-
management
– Care coordination
– Care management
-Delivery system design
– Professional staffing
-Provider knowledge, attitude and skills
– Knowledge/skill
– Patient safety or quality improvement knowledge/skill
– Attitudes
– Evidence base
– Ease of adoption
– Type of healthcare provider
-Patient and encounter complexity elements
– Patient clinical complexity
– Patient attitudes
– Patient activation/engagement
– Urgency of the patient/clinician encounter
– Continuity of patient/clinician encounter
– Patient transitions
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PSP implementations. Some argued for using theory on
which to select contexts because so little work has been
done to determine which contexts are important; others
acknowledged that some of the contexts mentioned could
be part of the intervention in some circumstances, but
recognised that our discussions would focus on the situ-
ations when those context features were external to the
intervention; others mentioned that work has been done
in other fields such as human factors and business
management to examine the effect of contexts; and
another panelist felt that ‘context’ should include
anything one needs to know to replicate the study. The
panelists agreed that our survey should include most of
the contexts on our proposed list and they suggested a few
additional contexts.
The results of the first survey showed the panel
considered 19 of the 42 contextual features as important
or extremely important across the PSPs. The results of
this survey and discussion with the experts were then
used to shape the second survey (as noted below). The
results were also used to develop a taxonomy of four
conceptual domains of contextual features that are
important for PSP implementations, as shown in box 2.
When the panelists were presented with the results of the
first survey, they agreed with the results. However, based
on the results, the panelists also thought that the second
survey should ask them about a few additional contexts
and that the group of contexts should continue to be
diverse in terms of their degree of universality, how
tactical, psychosocial or mutable the contexts are, how
much empirical evidence exists for the contexts’
importance, and the number of PSPs to which the
contexts related.
The results of the second panelist survey on the
priority of a modified list of contextual features are
shown in table 1.Panelists tended to rate the six patient
safety culture, teamwork and leadership contexts as high
priority for assessing their effects on PSP implementa-
tions rather than for only describing these features in
evaluations or not a priority at all. One exception to this
pattern is noteworthy: panelists tended to report that
patient safety culture at the level of the hospital or clinic
organisation is important only for describing in studies
(not for assessing their effect). Moreover, in post-survey
discussions with the panelists, they recognised that the
items in the patient safety culture/teamwork/leadership
domain likely represent distinct attributes of context.
Panelists tended to rate the 12 structural organisa-
tional characteristic contexts (eg, size or location), as
high priority only for describing in PSP evaluations.
However, again, two organisational contextual features
were noteworthy exceptions: at least a third reported it
was a high priority to assess the effects of existing quality/
safety infrastructure and organisational complexity on
PSP implementations.
For the five external contexts (eg, regulatory require-
ment and payments or penalties) and the 11 imple-
mentation or management tools (eg, internal incentives
and staff training), panelists appeared somewhat split
overall on whether the contexts are a high priority for
assessment or a priority only description in evaluations.
Finally, of all the contexts examined, panelists tended
to report that only two are not a high priority at all (not
for describing or assessing): teamwork at the organisa-
tional level (for bloodstream infection checklists and for
the universal protocol) and marketplace competition
(for bloodstream infection checklists).
DISCUSSION
This paper reports on the use iterative, formal discus-
sions with a 22-member technical expert panel
comprised of experts or leaders in patient safety,
healthcare systems, and methods to determine what
contexts are likely to have major influences on PSP
implementations and which should be described in PSP
evaluations. Given a long list of potentially important
contextual features, the experts were able to reach
agreement that four conceptual domains of contexts,
and some specific contextual features within those
domains, are important.
This study has several strengths, including the use of
a heterogeneous, interdisciplinary panel of experts and
the opportunity to have both face-to-face and telephone
meetings with them to iteratively and intensely delib-
erate the contexts that might be important for patient
safety interventions. Perhaps the biggest strength of this
paper is that it aims to help build the consensus that has
been lacking, given the infancy of the field, and creates
categories of context that can be the focus of future
research.
The limitations of this study include our potential
omission of some contextual features that others
consider important for assessing PSP interventions or for
describing in evaluations. Admittedly, the process by
which the contexts were selected and the opinions of the
panelists were subjective, such that another set of experts
Box 2 Results of first survey: four domains of contexts
judged as important for patient safety practices (PSPs)
-Safety culture, teamwork and leadership involvement.
-Structural organisational characteristics (eg, size,
organisational complexity or financial status).
-External factors (eg, financial or performance incentives
or PSP regulations).
-Availability of implementation and management tools
(eg, training resources or internal organisational
incentives).
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might have derived a different set of context domains
than the ones derived here. It is likely that the panelists’
academic background, degree of medical experience,
and other factors affected their decisions. However, the
authors intentionally selected a heterogeneous group of
panelists so that their overall opinions would be
balanced. In addition, the taxonomy was not validated.
However, the efforts presented in this paper should be
considered the first step in a longer-term, iterative
process of subsequent research. Of course, there is as yet
scant evidence that the contexts selected actually do
influence the effectiveness of patient safety interven-
tions. However, the purpose of this study was to try
and get the field to focus their measurement and
reporting on those contexts believed to be potentially
the most important. It is only by getting patient safety
evaluators to focus on a common set of contexts that an
evidence base can be built about which contexts really
are importantdthe authors expect a future version of
this process, informed by better evidence, to refine this
list of contexts, possibly dropping some and adding
new ones.
Several contextual factors within four conceptual
domains of contexts were found to be important. Readers
familiar with the evidence-based medicine literature
might wonder about the applicability of the ‘PICO’
framework
29
for categorising contexts as an alternative.
In that framework, study questions are categorised into
population, intervention, comparison group, and
outcome groups (PICO). That appears to be a useful
framework for categorising some contexts. For example,
the ‘population’ category could include contexts that are
characteristics of the organisational target group (eg,
culture, teamwork, leadership) and setting (eg, structural
organisational characteristics and external factors).
However, the ‘intervention’ category in the PICO
framework could include many of the contexts examined
here because many could be the focus of an intervention.
Likewise, the ‘comparison’ category in the PICO frame-
work could include almost any context in the group not
receiving the PSP intervention. The ‘outcome’ category
might be less applicable to the contexts examined here.
As such, the PICO framework might not lend itself to the
efficient categorisation of contexts.
The authors suggest future PSP implementation
studies measure, describe, and perhaps assess the effects
of the contextual features that experts reported in this
paper as high priority. Assessing some potentially
important contexts would help build the evidence for
the importance of some contextual features. If future
evaluations more richly described the contexts in which
PSP interventions took place, using some of the
contextual features mentioned here, readers might be
better able determine if the study is likely to work in
their own set of circumstances. Guidelines such as
CONSORT
30
and SQUIRE
31 32
have already been
developed for reporting interventions. Perhaps these or
other existing guidelines can be modified to include the
reporting of contextual features when PSP imple-
mentations are reported. The results presented here
could be the first step towards that effort.
Readers of research papers on PSP implementations
need to know about context factors but also about the
rigour of study design to draw conclusions about effec-
tiveness. The technical expert panel and this paper
focused on the first of these considerations, however
additional research is needed to address the second.
Also, despite consensus on the context domains
presented here, the existing literature suggests the
ability to accurately measure the contextual features
comprising these domains is immature. Although the
authors encourage researchers to describe or assess
several contextual features in evaluations, they recognise
the need for ‘basic research’ in patient safety to advance
the science of measuring the contextual features.
Funding Agency for Healthcare Research and Quality.
Competing interests None declared.
Contributors The technical expert panel included Alyce S. Adams, PhD, Peter
Angood, MD, David W. Bates, MD, MSc, Len Bickman, PhD, Celia Brown, PhD,
Pascale Carayon, PhD, Sir Liam Donaldson, MD, Naihua Duan, PhD, Donna O.
Farley, PhD, MPH, Trisha Greenhalgh, MD, John Haughom, MD, Eileen T. Lake,
PhD, RN, Richard Lilford, MB BCh, PhD, Kathleen N. Lohr, PhD, Gregg S.
Meyer, MD, MSc, Marlene Miller, MD, MSc, Duncan Neuhauser, PhD, Gery
Ryan, PhD, Sanjay Saint, MD, MPH, Kaveh Shojania, MD, Stephen M. Shortell,
PhD, MPH, David P. Stevens, MD, and Kieran Walshe, PhD. The research
reported here was supported under Contract No. HHSA-290-2009-10001C
from the Agency for Healthcare Research and Quality, US Department of
Health and Human Services. The authors of this paper are responsible for its
content. Statements in this paper should not be construed as endorsement by
the Agency for Healthcare Research and Quality or the US Department of
Health and Human Services.
Provenance and peer review Not commissioned; externally peer reviewed.
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... An expert panel could not agree on implementation strategies to overcome contextual barriers, calling for research on determinants of implementation success or failure and how these factors should be addressed. (9) Accordingly, we had the opportunity to study implementation as part of the dissemination of the Nephrotoxic Injury Negated by Just-in-Time Action (NINJA) safety initiative to nine hospitals. By changing physician and pharmacy practice at the system level, in one hospital, NINJA led to a sustained 62% reduction in nephrotoxic medication-related acute kidney injury (NTMx-AKI) in children hospitalized in a non-ICU setting.(10) ...
... Most studies of context in the implementation of safety initiatives have employed retrospective case analyses, interviews, or surveys. (9,36,40,46) For example, a study of 60 AHRQ-funded patient safety implementation studies, found that "surprisingly few projects actually planned for or expected many of the barriers and facilitators they experienced during their project implementation".(47) One exception is a multisite study of a medication reconciliation intervention (MARQUIS) which identi ed several reasons why some hospitals failed to reduce errors in reconciliation when implementing MARQUIS and then adapted the intervention before further spread to address these issues. ...
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Background: The national spread of safety interventions has been slow and difficult. While it is widely known that hospital contextual features and implementation factors impact spread of evidence-based interventions, there is little prospective research on modifiable factors that impact implementation at multiple sites. Nephrotoxic Injury Negated by Just-in-Time Action (NINJA) is a system-level patient safety intervention that led to a sustained reduction in nephrotoxic medication–associated acute kidney injury (NTMx-AKI) at one hospital. Our objective was to prospectively characterize the association between context and implementation factors and reduction of NTMx-AKI at nine hospitals implementing NINJA, using mixed methods. Methods: Grounded in i-PARIHS, we used qualitative comparative analysis (QCA) to assess the association between context and implementation factors, measured quarterly by survey, and reduction of NTMx-AKI, measured using statistical process control and ARIMA modeling. Interviews provided an understanding of causal processes underlying associations identified in QCA. Qualitative and quantitative data were collected and analyzed concurrently and then merged. Results: Five hospitals reduced AKI, four did not. Overall, the collaborative reduced NTMx- AKI by 8 cases per 1000 patient-days per month (95% CI: 14.6-1.4; p=0.018). QCA analysis revealed that hospitals needed to have a baseline AKI rate > 1.0 to reduce NTMx-AKI (Ncon 1.0, Ncov 0.83). In addition, hospitals that reduced NTMx-AKI had either (a) a pharmacist champion and > 2 pharmacists working on NINJA (Scon 1.0, Scov 0.8) or (b) No other organizational priorities causing implementation delays (Scon 1.0, Scov 0.2). Involving quality improvement coordinators or data analysts did not influence success. Qualitative interviews supported these findings and underscored the importance of how the NINJA implementation team integrated with frontline staff. Conclusions: We identified two different pathways to successful reduction in NTMx-AKI when implementing NINJA. These findings have implications for the future spread of NINJA and suggest an approach to study spread and scale of safety interventions more broadly.
... To obtain information on the actual state of the implementation process, contextual factors, and effectiveness, we conducted interviews at follow-up with clinicians of all involved professions. The open interview guideline was derived from the literature and contained four major domains of interest [28,33]. ...
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Postsurgical handover of pediatric patients from operating rooms (OR) to pediatric intensive care units (PICU) is a critical step. This transition is susceptible to errors and inefficiencies particularly if poor multidisciplinary teamwork occurs. Despite wide adoption of standardized handover interventions, comprehensive investigations into joint effects for patient care and provider outcomes are scarce. We aimed to improve OR-PICU handovers quality and sought to evaluate the intervention with particular attention to patient care effects and provider outcomes. A prospective, before-after-study design with an interrupted-series and a multi-source, mixed-methods evaluation approach was established. Drawing upon a participative plan-do-study-act approach, a standardized, checklist-based handover process was designed and implemented. For effect assessments, we observed OR-PICU handovers on site (pre implementation: n = 31, post: n = 30), respectively, with standardized expert observation and provider self-report tools (n = 111, n = 110). Setting was a tertiary Pediatric University Hospital. Supplementary qualitative, semi-structured interviews were conducted, and a general inductive content analysis approach was used to identify key facilitators and barriers on implementation. Improvement efforts focused on stepwise implementation of (1) standardized handover process and (2) a checklist for multi-professional OR-PICU handover communication. We observed significant increases in team and patient setup (pre: 79.3%, post: 98.6%, p < .01), enhanced team engagement (pre: 50%, post: 81.7%, p < .01), and comprehensive information transfer by the anesthesia sub-team (pre: 78.6%, post: 87.3%, p < .01). Expert-rated teamwork outcomes were consistently higher, yet self-reported teamwork did not change over time. Provider perceived stress and disruptions did not change, mental workload tended to decrease over time (pre: M = 3.2, post: 2.9, p = .08). Comprehensiveness of post-operative patient information reported by PICU physician increased significantly: pre: 65.9%, post: 76.2%, p < .05. After implementation, providers acknowledged the importance of standardized handover practices and associated benefits for facilitation of information transfer and comprehensiveness. Among reported barriers were obstacles during implementation as well as insufficient consideration of professionals’ individual workflow after surgery. Conclusion: A multidisciplinary intervention for postsurgical pediatric patient handovers was associated with improved expert-rated teamwork and fewer omissions of key patient information over time. Inconsistent results were obtained for provider-rated mental workload and teamwork outcomes. The findings contribute to a better understanding concerning the interplay of teamwork and provider cognitions in the course of establishing safe patient transitions in pediatric care. What is Known: • Transfer of critically ill children conveys significant challenges for interprofessional communication and teamwork. Prospective research into interventions for safe and efficient handover practices of OR PICU patient transitions is necessary. • Checklists are assumed to facilitate cognitive load among providers in acute clinical environments. What is New: • A standardized, checklist-based handover intervention was associated with improvements in team set-up and information transfer. Provider outcomes such as mental workload and stress did not change over time. • The combination of teamwork and provider assessments allows a more nuanced understanding of implementation barriers and sustainable effects in course of OR-PICU handover interventions.
... Few studies also determined background knowledge and awareness of EBM sources [27,36,[41][42][43][44][45][46][47], attitude [27,36,39,41,43,44,[46][47][48], and competence [49,50] of healthcare professionals for EBM. Literature also revealed that experience [51], age [52], educational level [53], workload or insufficient time [27,36,54,55], sufficient hardware [55], poor internet access [27,36], lack of technical support [54], knowledge of statistical terms [56], self-efficacy [52], lack of interest to find research reports [35,39], and lack of patient cooperation [57,58] were commonly depicted determinants of background knowledge and awareness of EBM sources, attitude, competence and practice of EBM. ...
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Background: Evidence-based medicine (EBM) bridges research and clinical practice to enhance medical knowledge and improve patient care. However, clinical decisions in many African countries don't base on the best available scientific evidence. Hence, this study aimed to determine the effect of training interventions on background knowledge and awareness of EBM sources, attitude, competence, and practice of EBM among healthcare professionals. Method: We designed a controlled group quasi-experimental pre-post test study to evaluate the effect of capacity-building EBM training. A total of 192 healthcare professionals were recruited in the study (96 from the intervention and 96 from the control group). We used a difference-in-differences (DID) analysis to determine the effect of the training. Along the way, we used a fixed effect panel-data regression model to assess variables that could affect healthcare professionals' practice of EBM. The cut point to determine the significant effect of EBM training on healthcare professionals' background knowledge and awareness of EBM sources, attitude, and competence was at a P-value < 0.05. Result: The DID estimator showed a significant net change of 8.0%, 17.1%, and 11.4% at P < 0.01 on attitude, competence, and practice of EBM, respectively, whereas no significant increment in the background knowledge and awareness of EBM sources. The fixed effect regression model showed that the attitude [OR = 2.288, 95% CI: (1.049, 4.989)], competence [OR = 4.174, 95% CI: 1.984, 8.780)], technical support [OR = 2.222, 95% CI: (1.043, 3.401)], and internet access [OR = 1.984, 95% CI: (1.073, 4.048)] were significantly affected EBM practice. Conclusion: The capacity-building training improved attitude, competence, and EBM practice. Policymakers, government, and other concerned bodies recommended focusing on a well-designed training strategy to enhance the attitude, competence, and practice towards EBM among healthcare professionals. It was also recommended to enhance internet access and set mechanisms to provide technical support at health facilities.
... Implementing guidelines is about changing the behaviour of health professionals, and for behaviour change to be effective, the strategy needs to be tailored to the contextual barriers that are impeding the behaviour change [37]. Thus, in order to attain successful implementation, it is of utmost importance that we identify the local barriers to implementing the guidelines by particular groups of health professionals [38,39]. Previous attempts to implement guidelines may have underestimated the importance of the local context, resulting in the poor uptake seen across countries today [21]. ...
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Purpose: Low back pain (LBP) is the leading cause of disability worldwide. Providing evidence-based practice (EBP) for patients with LBP is more cost-effective compared with non-EBP. To help health care professionals provide EBP, several clinical practice guidelines have been published. However, a relatively poor uptake of the guidelines has been identified across various countries. To enhance future implementation of EBP, the aim of this study was to explore barriers to using LBP guidelines in clinical practice. Materials and methods: A qualitative constructivist grounded theory design was employed in order to gain an in-depth understanding of the barriers. Semi-structured interviews (+/- observations) of nine physiotherapists and nine chiropractors from primary care in the Central Denmark Region were conducted. Results: Two key barriers were found to using guidelines in practice: (1) a scepticism due to doubts about validity and applicability of the guidelines, which emerged particularly among physiotherapists; and (2) a deep biomechanical professional identity, due to perceived role, interest, lack of skills, and patient preferences, which emerged particularly among chiropractors. Conclusions: For guidelines to be better implemented in practice, these key barriers must be addressed in a tailored strategy. Furthermore, this study showed a difference in barriers between the two professions.
... Leadership is conceived to be intimately connected to climate, and has been recognized as an important influence on implementation of EBP in many different settings (Damschroder et al. 2009;Nutley et al. 2007;Rycroft-Malone and Bucknall 2010). In particular, leadership commitment and active interest can positively influence implementation (Taylor et al. 2011;Stetler et al. 2011). ...
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BACKGROUND Faster delivery of tPA (tissue-type plasminogen activator) results in better health outcomes for eligible patients with stroke. Standardization of stroke protocols in emergency departments (EDs) has been difficult, especially in nonstroke centers. We measured the effectiveness of a centrally led implementation strategy with local site tailoring to sustain adherence to an acute stroke protocol to improve door-to-needle (DTN) times across disparate EDs in a multihospital health system. METHODS Prospective, type III hybrid effectiveness-implementation cohort study measuring performance at 21 EDs in Utah and Idaho (stroke centers [4]/nonstroke centers [17]) from January 2018 to February 2020 using a nonrandomized stepped-wedge design, monthly repeated site measures and multilevel hierarchical modeling. Each site received the implementation strategies in 1 of 6 steps providing control and intervention data. Co-primary outcomes were percentage of DTN times ≤60 minutes and median DTN time. Secondary outcomes included percentage of door-to-activation of neurological consult times ≤10 minutes and clinical effectiveness outcomes. Results were stratified between stroke and nonstroke centers. RESULTS A total of 855 474 ED patient encounters occurred with 5325 code stroke activations (median age, 69 [IQR, 56–79] years; 51.8% female patients]. Percentage of door-to-activation times ≤10 minutes increased from 47.5% to 59.9% (adjusted odds ratio, 1.93 [95% CI, 1.40–2.67]). A total of 615 patients received tPA of ≤3 hours from symptom onset (median age, 71 [IQR, 58–80] years; 49.6% female patients). The percentage of DTN times ≤60 minutes increased from 72.5% to 86.1% (adjusted odds ratio, 3.38, [95% CI, 1.47–7.78]; stroke centers (77.4%–90.0%); nonstroke centers [59.3%–72.1%]). Median DTN time declined from 46 to 38 minutes (adjusted median difference, −9.68 [95% CI, −17.17 to −2.20]; stroke centers [41–35 minutes]; nonstroke centers [55–52 minutes]). No differences were observed in clinical effectiveness outcomes. CONCLUSIONS A centrally led implementation strategy with local site tailoring led to faster delivery of tPA across disparate EDs in a multihospital system with no change in clinical effectiveness outcomes including rates of complication. Disparities in performance persisted between stroke and nonstroke centers.
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Context can be defined as all factors that are not part of a quality improvement intervention itself. More research indicates which aspects are 'conditions for improvement', which influence improvement success. However, little is known about which conditions are most important, whether these are different for different quality interventions or whether some become less or more important at different times in carrying out an improvement. Knowing more about these conditions could help speed up and spread improvements and develop the science. This paper proposes ways to build knowledge about the conditions needed for different changes, and to create conditional-attribution explanations to provide qualified generalisations. It describes theory-based, non-experimental research designs. It also suggests that 'practical improvers' can make their changes more effective by reflecting on and revising their own 'assumption-theories' about the conditions which will help and hinder the improvements they aim to implement.
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To comprehend the results of a randomized, controlled trial (RCT), readers must understand its design, conduct, analysis, and interpretation. That goal can be achieved only through complete transparency from authors. Despite several decades of educational efforts, the reporting of RCTs needs improvement. Investigators and editors developed the original CONSORT (Consolidated Standards of Reporting Trials) statement to help authors improve reporting by using a checklist and flow diagram. The revised CONSORT statement presented in this paper incorporates new evidence and addresses some criticisms of the original statement. The checklist items pertain to the content of the Title, Abstract, Introduction, Methods, Results, and Discussion. The revised checklist includes 22 items selected because empirical evidence indicates that not reporting the information is associated with biased estimates of treatment effect or because the information is essential to judge the reliability or relevance of the findings. We intended the flow diagram to depict the passage of participants through an RCT. The revised flow diagram depicts information from four stages of trial (enrollment, intervention allocation, follow-up, and analysis). The diagram explicitly includes the number of participants, for each intervention group, that are included in the primary data analysis. Inclusion of these numbers allows the reader to judge whether the authors have performed an intention-to-treat analysis. In sum, the CONSORT statement is intended to improve the reporting of an RCT, enabling readers to understand a trial's conduct and to assess the validity of its results.
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Background: A large literature on health care organizations' experiences with quality and safety improvement methods and strategies is now available. Although sometimes the effort is made to immediately apply others' experiences, more often the question is asked, "would it work for us?" Quality Improvement Translation (QIT): In a framework for valid and more systematic cross-organizational and cross-national learning, one assesses the conditions that may have been important for success elsewhere so as to replicate the essential conditions for local adaptation. For example, resource limitations may prevent the transfer of a computerized physician order entry (CPOE) system to a developing country as a method of improving safety, but there may be elements of others' CPOE systems, such as protocols for manual checking, that can be translated with success. How to Translate Improvements and Strategies to Our Setting: How then do we decide which approaches are easily transfered, and how do we go about translating other approaches that need adapting to "our" (or any) setting? A simple method is to follow five steps for QIT: define our subject and question, search for others' experiences, assess likely context dependence, identify critical conditions, and plan implementation. Conclusion: We can improve our methods for learning from others by creating our own systems for seeking out reports that describe the context of the improvement, by deciding which facilities to visit and which conferences and networking events to attend, and by developing our skills in judging transferability and in translating others' strategies.
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Our goals in writing this editorial are to encourage more contextualization in organizational research and to signal that the Journal of Organizational Behavior gives a sympathetic reception to submissions incorporating context into their research methods and reporting.
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We know that every improvement is a change—but how do we know that a change is an improvement?1 Improvement experts and patients, each in their own terms, ask this question with appropriate impatience.23 For example, how can valid conclusions be drawn when an improvement initiative employs no control population, or if the study employs predominantly qualitative measures? Indeed, some argue that if the RCT is the gold standard, how can improvement scientists settle for less?4 Others counter that this frame actually constrains the options for knowing.56 Flyvbjerg describes these debates in the larger scientific community—at their most vehement—as the Science Wars.7 That goes far beyond where I intend to take this modest essay. Increasingly there are calls for a rich discussion and appraisal of new ways of knowing while striving to improve existing methodologies in healthcare improvement and patient safety.23 I propose that this journal, given its unique subject matter, provides an appropriate test bed to assess the rigour and utility of scholarly reports in these fields. While doing so, we must also be mindful that there are emerging media that …