Site and participant characteristics
We conducted 12 information sessions with 15 potentially eligible teams across four hospitals and six FHTs. Of these, all 15 teams representing 91 individuals consented to participate. The site and participant characteristics of hospital and primary care teams are shown in Tables 1 and 2, respectively. A total of 173 surveys were completed across three time points: baseline (n = 67), first follow-up (n = 59) and final follow-up (n = 47). Twenty-nine focus groups were held in total; 15 at first follow-up and 14 at final follow-up. Teams consisted of different combinations of health care professionals, chiefs/directors/managers, and clinic and administrative staff: clinicians (nurses, physicians, pharmacists), trainees (residents, pharmacy students) and health information data managers.
Table 1
Participant and site characteristics of nine teams across four Ontario community hospitals that participated in the sustainable study
Site and team | Study time period (number of participants) | Implementation details | Team member roles at T1 (number of participants) |
T1 (n = 41) | T2 (n = 35) | T3 (n = 25) | CW priority area | Hospital Dept. |
Hospital 1 | Team 1 | 7 | 4 | 4 | Pre-Op | Surgery | Clinical chief (n = 1) Anaesthesiologist (n = 1) Nurse (n = 2) CTM: Perioperative (n = 1) CTM: Surgical program (n = 1) Surgery program director (n = 1) |
Team 3 | 5 | 5 | 3 | BUN/Urea | Laboratory medicine | Lab medicine manager (n = 1) Clinical informaticist; Nurse (n = 1) Chief of medicine; Medical director of critical care (n = 1) Chief of ED (n = 1) Director Lab Medicine (n = 1) |
Team 5 | 8 | 7 | 5 | PPI | Pharmacy | Physician (n = 2) Physician; MRP (n = 1) Pharmacy director (n = 1) Pharmacist practitioner (n = 2) Pharmacist (n = 2) |
Hospital 2 | Team 8 | 3 | 4 | 3 | BUN/Urea | Laboratory medicine | Nurse; Clinical lead (n = 1) Nurse (n = 1) Laboratory manager (n = 1) |
Team 9 | 5 | 5 | 3 | PPI | Pharmacy | Pharmacist (n = 2) Student Pharmacist (n = 1) Physician (n = 1) Nurse; Professional Practice Leader (n = 1) |
Hospital 3 | Team 11 | 4 | 4 | 2 | PPI | Pharmacy | Nurse practitioner (n = 1) Pharmacist (n = 1) Pharmacy student (n = 1) Physician (n = 1) |
Team 13 | 4 | 3 | 2 | Pre-Op | Surgery | Nurse (n = 1) Anaesthesiologist (n = 1) Clinical program director (n = 1) Decision support consultant (n = 1) |
Hospital 4 | Team 14 | 3 | 3 | 3 | BUN/Urea | Laboratory medicine | Clinical chemist (n = 1) Clinical Informatics manager (n = 1) Laboratory medicine director (n = 1) |
Team 15 | 2 | DNC | DNC | IP Echo | Cardiac laboratory | Clinical informatics manager (n = 1) Cardiologist; Head of non-invasive cardiac lab and echo lab (n = 1) |
Table 2
Participant and site characteristics of six teams across six family health teams (FHTs) affiliated with community hospitals that participated in the sustainable study
Site and team | Study time period (number of participants) | Team member roles at T1 (number of participants) |
T1 (n = 26) | T2 (n = 24) | T3 (n = 22) |
FHT 1 | Team 2 | 4 | 4 | 3 | Administrative (n = 1) HI manager (n = 1) Pharmacist (n = 1) Physician (n = 1) |
FHT 2 | Team 4 | 4 | 2 | 2 | Pharmacist (n = 1) Physician (n = 1) Dietitian; QI coordinator (n = 1) QI decision support specialist (n = 1) |
FHT 3 | Team 6 | 5 | 5 | 3 | HI manager (n = 1) Pharmacist (n = 1) Physician (n = 2) Resident (n = 1) |
Team 7 | 2 | 1 | 2 | Nurse; HI manager (n = 1) Physician (n = 1) |
FHT 4 | Team 10 | 6 | 7 | 6 | HI manager; QI administrator (n = 1) Manager (n = 1) Physician (n = 4) Pharmacist (n = 1) |
FHT 5 | Team 12 | 5 | 5 | 6 | Patient care manager (n = 1) Physician (n = 1) Resident (n = 2) EMR system administrator (n = 1) |
NHS sustainability survey
Table 3 shows the mean NHS Sustainability survey team scores over time (T1, T2, T3) across hospital and primary care sites and their respective CW priority areas (Figs. 2–5). The mean baseline team scores across all sites and teams ranged 65–87%, which is above the threshold of what is considered a potentially sustainable innovation (i.e., ≥ 55%)38. Survey results are organized according to the CW priority areas investigated by hospital and primary care family health teams (FHTs):
Table 3
Mean NHS Sustainability survey scores (range) across primary care and hospital sites and Choosing Wisely priority areas from baseline (T1) to 6- (T2) and 12-months (T3) follow-up
Setting (number of sites) Total number of teams | CW priority area | Mean NHS Sustainability score (range); Number of participants | Change in scores over time |
T1 (Baseline) | T2 (1st follow-up; ~6 months) | T3 (final follow-up; 12 months) | Percent change from baseline to T3 |
FHT (n = 6) | PPI | 68% (53–74%) n = 26 | 73% (66–80%) n = 24 | 78% (70–83%) n = 22 | 10% increase |
Hospital (n = 3) | PPI | 65% (59–72%) n = 17 | 67% (64–69%) n = 16 | 67% (65–69%) n = 10 | 2% increase |
Hospital (n = 3) | BUN/Urea lab testing | 70% (61–89%) n = 11 | 72% (58–85%) n = 12 | 88% (72–91%) n = 9 | 18% increase |
Hospital (n = 2) | Pre-Op testing | 87% (82–92%) n = 11 | 83% (68–97%) n = 7 | 77% (57–97%) n = 6 | 10% decrease |
Hospital (n = 1) | IP Echo testing | 79% (73–85%) n = 2 | Did not complete | Not applicable |
Total number of participants | n = 67 | n = 59 | n = 47 |
NHS = National Health Service; FHT = family health team; PPI = proton pump inhibitor |
Proton Pump Inhibitor (PPI) de-prescribing: FHTs: Six FHTs completed the NHS sustainability survey at baseline (n = 26), 3-month follow-up (n = 24) and final follow-up (n = 22). The baseline mean NHS sustainability scores ranged 53–74% and increased to a range of 66–80% at 6-months and to 70–83% at 12-months (Fig. 4). The mean sustainability scores increased from baseline to 12-month follow-up for all six teams (mean increase 10%; range 5–17%). Hospital teams: Three hospital teams completed the NHS sustainability survey at baseline (n = 17), 3-month follow-up (n = 16) and final follow-up (n = 10). The baseline mean NHS sustainability scores ranged 59–72% and increased at first follow-up to 64–69% (two teams) while the third team showed a 5% decrease from 72–67%. At 12-months follow-up, the mean sustainability scores overall increased from baseline for two teams (mean increase 6%; range 2–10%); and decreased for the third team by 4% (Fig. 3). This decrease may in part be explained by a few challenges that we identified from triangulating survey with focus group data: 1) incomplete and wide variability in participation by team members across the three time points due to staff and student turnover; 2) the program lead went on maternity leave (T2) and therefore was not able to complete the final survey; 3) the team has not implemented CW hospital wide. At the time of T1, the team started a pilot of the initiative only on their alternative level of care (ALC) floor. The team acknowledged that their current processes needed to be changed to ensure successful implementation and long-term sustainability once the initiative is rolled out hospital wide.
BUN/Urea lab testing: Hospital teams: Three hospital teams that implemented the BUN/Urea CW priority completed the NHS sustainability survey at baseline (n = 11), first follow-up (n = 12) and final follow-up (n = 9). Their baseline mean NHS sustainability scores ranged 61–89% and increased at first follow-up for two teams (range 72–85%) while decreasing by 3% for the third team from 61–58%. At 12-months of follow-up, the mean sustainability scores increased from baseline for all three teams (mean increase 13%; range 2–27%) (Fig. 4).
Pre-Op testing: Hospital teams: Two hospital teams that implemented the Pre-Op testing priority completed the NHS sustainability survey at T1 (n = 11), T2 (n = 12) and T3 (n = 9). Their baseline mean NHS sustainability scores ranged 82–92%. One of the teams showed a steady increase in sustainability scores over time with a 5% increase from T1 to T3 (Fig. 5) while the second team showed a 25% decrease in scores from T1 (82%) to T2 (68%) to T3 (57%). This large decrease may be attributed to several important challenges that we identified by triangulating survey with focus group data: 1) the implementation of their CW initiative did not occur until T2 (first follow-up); 2) implementation was extremely complicated at this site because they have a total of 55 surgeon’s offices not all of which are located at the hospital, and the hospital was in the midst of a merger with two other hospitals; 3) the site is not fully electronic/automated; 4) the Pre-Op patient care manager went on maternity leave midway through the study (T2), which affected the participation of the team, since this person acted as the point person to send out surveys and coordinate focus groups; and 5) the team’s high baseline sustainability team score (82%) may be explained by the team’s “hopefulness” for the initiative, since they have not yet implemented it at the start of the sustainability study (T1). A clinician member of the team indicated that the much lower scores observed in the later parts of the study may have been due to the burden of the CW initiative not being felt by the team until they launched it (T2), the high learning curve of the initiative, more work for front line staff, and not having a fully electronic/automated system to accommodate CW processes.
IP Echo: Hospital team: One hospital team implemented the IP Echo CW priority. The team had two members who completed the NHS sustainability survey at baseline (mean sustainability score range 73–85%) and first focus group but did not complete T2 and T3 surveys or final focus group.
Top challenges and success factors
Figure 6 shows that the largest proportion of implementation teams perceived fit with existing processes and workflows as the success factor for sustainability regardless of the CW priority areas that we investigated (i.e., Hospital/FHT PPI de-prescribing, hospital BUN/Urea testing and Pre-Op testing) followed by leadership support and optimized team communication. In terms of challenges, the largest proportion of teams indicated (regardless of CW priority area) that lack of awareness and buy-in, lack of leadership engagement or a champion and lack of fit with existing workflow and culture (Fig. 7). There was a 78% overlap in challenges between FHT and hospital teams that implemented the PPI de-prescribing priority. Among the six FHTs, challenges identified by the majority (50% or more) of teams were lack of leadership engagement or a champion, frequent staff turnover, volume of QI initiatives, and the time consuming and resource intensive nature of PPI de-prescribing. Among hospital PPI teams, two thirds found lack of awareness and buy-in and training as top challenges.
Qualitative Focus Groups
Analysis of 29 focus groups revealed three themes related to sustainability facilitators (Appendix A) and four themes related to challenges (Appendix B). All teams identified at least one challenge for which they co-designed and implemented an action plan to maximize the sustainability potential of their CW priority area.
Sustainability facilitators
Fit with existing processes and workflows
Four primary care teams indicated that CW is an intuitive campaign because it’s built into the system so even if teams change, the project can continue. Both primary care and hospital teams indicated that PPI de-prescribing is well supported by CW because it includes tools that support optimized implementation (e.g., the ability to flag which patients should be reviewed for PPI de-prescribing, algorithms and tapering schedules, and electronic order sets that include a default order for a pharmacist’s consult for a full medication review). For Pre-Op testing, hospital teams indicated that CW is a straightforward, standardized approach, and can increase the efficiency of clinical workflows (i.e., less paperwork for administrative staff and more flexibility in nurse scheduling). BUN/Urea teams perceived ease of implementation due to its ability to be implemented almost anywhere, and the relative straightforwardness of the process (i.e., since the test can be removed from the post-surgery order set, it can eliminate “automatic” or “default” ordering).
Leadership support
Three primary care teams identified leadership support for successful PPI de-prescribing likely attributed to supportive clinical and senior leaders and staff involvement and that the initiative was prioritized by clinical leadership as a patient safety issue. Since pharmacists are central to the PPI de-prescribing process, this also freed up the involvement of family physicians, although having clinical champions was perceived as important for success. For the two hospital PPI teams, support from senior leadership on an organizational level was perceived to be the reason for success. Two Pre-Op testing hospital teams indicated that change could not have been possible without clinical lead champions and Joint Centres support, and a BUN/Urea team attributed success to corporate level leadership.
Optimized team communication
One FHT has taken opportunities to present data on their de-prescribing experience, which fostered an environment to encourage staff involvement. A hospital PPI team experienced enhanced team collaboration and communication because of regular communications between pharmacists and providers to discuss PPI de-prescribing and re-assessment of therapy were facilitated by the CW initiative. They also found that available CW publications helped support changes in the process (de-prescribing algorithm, pamphlets for patients and pharmacists). Two BUN/Urea teams created CW posters, which has been effective in creating/raising awareness among ICU staff, which in turn has facilitated reduced ordering of these tests.
Sustainability challenges and actions to address them
Lack of awareness
Many primary care and hospital PPI teams indicated that the CW initiative, its existing tools to facilitate implementation, its progress, results and successes are not being shared among staff. A hospital Pre-Op testing team indicated that not all patient information makes it into charts and it’s not always clear why patients are receiving certain tests. A BUN/Urea test team was concerned that communications about the CW initiative may not have reached all affected stakeholders. Actions taken by teams to address these challenges included sharing information by the senior leadership using their newsletters and meetings (FHTs); creating a simple, one-page infographic of their clinic’s PPI results (FHT); incorporating PPI de-prescription as part of resident training (FHT); sending emails from the director to all stakeholders (BUN/Urea testing); holding educational events and meetings with staff prior to hospital-wide rollout (Pre-Op testing); making posters and handouts available for patients; and presenting final pilot study results to the pharmacy team as well as via publications, presentations and posters (Hospital PPI).
Lack of buy-in and engagement
Some primary care and hospital PPI teams questioned why more physicians are not engaged or why they are hesitant to engage in the CW initiative. To address this challenge, one primary care PPI team sent a mass email about PPIs which led to patient inquiries about de-prescribing and promoted uptake of PPI de-prescribing. Another uptake strategy was to encourage staff who regularly de-prescribe to meet with those who do not. A hospital PPI team had their senior administrative leadership present to the clinical leadership at operations committees and grand rounds to encourage buy-in. In the context of Pre-Op testing, lack of buy-in was perceived as staff (who had been there longer) being inadvertently more resistant to implementing the change; this was attributed to the time needed for behaviour change to happen. Lack of buy-in was identified as a challenge by all three hospital BUN/Urea teams. One team thought that there is lack of clear evidence underpinning patient-level benefits for removing this lab test, which made it more difficult to “sell” the initiative. To overcome this, some teams will perform an interrupted time series analysis to evaluate the impact of their implementation. Another team felt that poor uptake stemmed from nursing staff not understanding the reason for reducing BUN/Urea testing because they are not adequately engaged in the initiative. To overcome this challenge, the team engaged in conversations with and listened to frontline staff about the importance of the initiative, engaged in education and presentations to gain support and consensus. Another BUN/Urea team found it difficult to change engrained behaviour patterns and habits of staff, who may just “automatically select blood work on the standard order sets”. To acknowledge this challenge, the team conducted an “audit and feedback” exercise to review blood work volumes of various clinics and departments and shared these results. The team’s clinical lead has reached out to physicians to engage in a conversation about the appropriateness of BUN ordering, and the team’s lab manager also reached out to clinic teams to support behaviour change efforts.
Lack of leadership engagement or a champion
Three primary care PPI teams indicated challenges related to leadership engagement. One team had no Chief to enforce the initiative, and therefore had no consequences or levers when physicians did not want to participate. To overcome this challenge the team suggested trying to rotate clinical leadership. However, this was difficult because of the time-consuming nature of getting new leaders up to speed on the initiative, and different leaders may have variable passion or investment in the project. Both primary care and hospital PPI teams acknowledged the importance of having a physician champion or a clinical leader to motivate other physicians to engage in the initiative, as well as more accountability in senior leadership on the “front lines” to push the initiative. A hospital Pre-Op team also expressed the need to engage senior leaders in the initiative. A BUN/Urea test found it difficult to get clinician leaders from other units engaged. To overcome this challenge the team’s clinical lead reached out to the department clinical leaders across the hospital sites via email and conversations, and their quality improvement specialist gathered data to help support these engagement efforts. Another BUN/Urea team found that despite their efforts to intentionally involve and engage clinical leadership, it was difficult to obtain feedback from them because a champion was lacking for this initiative. To address this challenge, the team set up an ongoing dialogue (via their Medical Advisory Council) to engage site leadership prior to the final changes in the order sets, and to consider any concerns, reservations and order set exclusions. Once the final changes were complete, the administrative director sent communications to all medical directors, managers and clinical resource leaders.
Lack of fit with existing workflows and culture
One primary care team felt that the PPI de-prescribing initiative is not yet part of the organizational work culture, and they would like it to become a habit just like other process such as checking blood pressure. To do this, they are carrying out a number of interventions including education, communication, monitoring with audits and feedback. The FHT is also continuing to support a research project (which could be done by residents) to look at aggregate PPI data at different sites to provide more evidence for physicians on the benefits of the initiative. They also noted that non-academic primary care sites will struggle to incorporate CW into their work culture because they don’t have the academic work culture, which tends to promote patient safety, include a pharmacist and data manager, and have a built-in system for staff training and improving processes – these are features that make FHTs amenable to initiatives such as CW.
Evaluation of our process
45 of the 47 individuals across 15 teams who participated in PHASE 3 of our study (T3) completed the evaluation survey (response rate 96%). Appendix C shows the dispersion of mean scores on the evaluation survey of participant perceptions of our study overall, the information sessions, the NHS sustainability survey, the action planning focus groups, and the action plan reports. Overall perception of the Sustainability study: Respondents agreed that their participation in the sustainability was feasible, helped strengthen the implementation of their CW priority area, increased their knowledge about the concept of sustainability, and were overall satisfied with the study (mean score range 4.0-4.3 out of 5). Although teams agreed that they would need to continue meetings to sustain or maintain their current activities (mean 4.0), it was perceived less likely that their teams would meet regularly about the CW priority (mean 3.9). Another FHT member described the implementation of an innovation such as Choosing Wisely as challenging in a “climate of multiple competing demands” that requires a “true collaborative approach to make successful”. Information sessions: Teams agreed that the information sessions were effective for introducing the CW sustainability sub-study, helped them to understand the objectives of the study and the NHS sustainability survey, and found the information session overall useful (mean score range 4.1–4.3). NHS Sustainability Survey: Respondents perceived the NHS Sustainability survey as easy to complete and understand, took a reasonable amount of time, and helped to learn about the sustainability study (mean score range 4.0-4.3). A small sub-set of respondents (7%) indicated that the NHS Sustainability Survey was “inflexible”, and not reflective of their actual circumstances, which made it difficult to answer the questions. Action planning Focus Groups: Respondents agreed that the action planning focus groups were overall helpful, well organized with effective facilitators and helped team members understand the survey results and to identify sustainability challenges (mean score range 4.0-4.3). There was slightly less agreement by respondents about the focus groups helping teams to formulate an action plan to address challenges (mean score 3.9). Team Reports: Action plan Reports summarized each team’s sustainability scores, top challenges and successes, and provided an operationalizable summary of the plan and processes co-created by the team to address challenges. Respondents agreed that these reports were easy to read and well organized (mean score 4.1). However, they had less agreement for using these reports to make changes to their CW implementation process, whether teams perceived that these changes led to improvements in their implementation; and whether three months was a long enough period to implement their co-designed action plans (mean score range 3.5–3.6).