Background: The effective translation of scientific evidence into clinical practice is paramount to improving the quality and safety of patient care. However, little is known about the patterns of diffusion of evidence-based programmes in healthcare.
Objectives: To study the pattern of diffusion of an evidence-based programme to improve the quality and safety of care for hospitalised older adults.
Methods: The diffusion of the Hospital Elder Life Program (HELP), a multifaceted programme to reduce delirium in hospitalised adults, was examined. Using a survey of all hospitals that contacted the HELP Dissemination Project for more than 2 years, the proportion of hospitals that adopted the programme, the programme fidelity to the original design in terms of structure and process, and the perceived reasons for non-adoption were identified.
Results: Programme fidelity was highest among structural features (eg, staffing levels); programme modifications were more commonplace in processes of care (eg, the participation of volunteers in patient care interventions). Senior management support and the programme expense were the most commonly cited reasons for non-adoption of HELP.
Conclusion: Diffusion and take-up rates for this evidence-based programme were substantial; however, programme fidelity was not complete and some hospitals did not adopt the programme at all. Clinicians, researchers and funding agents seeking to promote effective translation of research should be realistic about diffusion rates and recognise the critical ingredient of senior management support to propel adoption of evidence-based programmes to improve quality and safety.
- HELP, Hospital Elder Life Program
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Effective translation of scientific evidence into clinical practice is of paramount importance to ensure that patients benefit from scientific research. Recent policies and funding priorities1,2 for the National Institutes of Health and the Agency for Healthcare Research and Quality reflect this focus on translating research into practice. Despite substantial efforts to speed the diffusion of evidence-based practices,3,4 previous studies have not tracked the national dissemination of a clinical programme to identify common patterns of diffusion. Information on patterns of diffusion can help researchers and funding agencies anticipate not only the pace of adoption but also the adaptations that occur during the diffusion process, as greater effort is devoted to translating science into practice.
Accordingly, we sought to study the pattern of diffusion of an evidence-based programme to improve care for hospitalised older adults as a case study of the phenomenon of translating research evidence into practice. The Hospital Elder Life Program (HELP)5 has been shown to be both effective5,6 and cost-effective7,8 in reducing episodes of delirium and functional decline in hospitalised older adults. On the basis of this evidence, substantial efforts9–11 have been made to replicate the HELP in hospitals nationally. However, previous studies have not examined the pattern of its national diffusion and success in national dissemination.
We used as a case study the HELP Dissemination Project, a national programme to support hospitals adopting HELP. This project, funded by federal and foundation sources, provides training materials, an interactive website12 and support from experienced staff in establishing a new HELP site. For this study, we surveyed staff members in hospitals who had contacted the HELP Dissemination Project team or registered for the HELP special interest group meetings at the American Geriatrics Society and Gerontological Society of America Annual Meetings about the experience of programme adoption at their hospitals. Understanding the process of diffusion of HELP can be useful as a case study to identify common patterns in the diffusion of evidence-based clinical programmes.
Study design and sample
We conducted a study of all hospitals that had expressed interest in implementing HELP by contacting the HELP dissemination team12 or by participating in HELP special interest groups at the American Geriatrics Society or Gerontological Society of America Annual Meetings in the 2 years before the survey, which was conducted in January–May 2005. The research procedures were approved by the institutional review board at the Yale School of Medicine, New Haven, Connecticut, USA.
We used an online survey directed to the hospital staff members who had made contact with the HELP dissemination team or had participated in the HELP special interest groups. Respondents were surveyed during January–May 2005, which was at least 6 months after their original contact with the dissemination project. The questionnaire asked respondents to characterise their programming for delirium in one of the following categories of diffusion and programme adoption:
the hospital was implementing HELP as a contracted HELP dissemination site—that is, with access to all copyrighted training materials and protocols, assistance from the HELP dissemination team, and protected parts of the HELP website;
the hospital was implementing a programme that was considered to be similar to HELP but without access to copyrighted protocol, training materials and protected parts of the HELP website;
the hospital had clinical guidelines or pathways for delirium but no additional programming for delirium; or
the hospital was implementing none of the above.
All respondents were asked to indicate from a predetermined set of reasons, which were developed based on our previous qualitative research,9,10 why HELP had or had not been adopted at their hospital.
For all hospitals that characterised themselves as either a contracted HELP dissemination site or a hospital with a programme similar to HELP, we ascertained programme fidelity to the original HELP design.5 Programme fidelity was evaluated with respect to (1) staffing levels and (2) processes of care. Staffing levels were measured by (a) the type of staff associated with the programme and (b) the hours per week of each staff type associated with the programme. Process of care was measured by (a) reported implementation of the six core interventions of HELP, (b) the use of volunteers in these interventions and (c) the use of interdisciplinary rounds. The six core interventions included daily orientation and therapeutic activities, aiding sleep (ie, a non-pharmacological sleep protocol and sleep enhancement programme), early mobilisation (ie, ambulation or range of motion exercises), visual aids and reminders to use glasses, hearing aids and reminders to use aids, and dehydration protocol (ie, recognition and volume repletion).5 Lastly, we evaluated the perceived effect of the programme on 22 patient and staff outcomes, which were developed on the basis of our previous qualitative work9 as potential ways in which the programme might influence patient care and staff experiences.
We used standard descriptive statistics to describe the proportion of hospitals with the following various types of adoption: (1) a contracted HELP dissemination site, (2) a similar programme but not a contracted HELP dissemination site, (3) clinical guidelines or pathways for delirium only or (4) none of these. We examined the level of programme fidelity of the contracted HELP sites and similar programmes relative to the original HELP protocol published by Inouye et al.5 We used t tests and χ2 statistics as appropriate to evaluate whether there were significant differences in programme fidelity and perceived programme effect across hospitals of different adoption types—that is, as contracted HELP sites compared with sites that adopted a similar programme but not as a contracted HELP site. The criterion for significance was α<0.05. All analyses were carried out using SAS V.9.1.
A total of 105 people were eligible for our survey on HELP implementation. Of these, 24 (19.2%) did not have valid contact information and could not be located. Of the remaining 81 people whom we could locate, 63 (77.8%) responded to the survey. About 79% of the responding hospitals were teaching hospitals, 76% were part of a multihospital system and 89% were non-profit organisations (table 1).
Contracted HELP dissemination sites: first-hand dissemination
Among the 63 respondent hospitals, 16 (25.4%) had implemented the programme as a contracted HELP dissemination site, which included having access to copyrighted protocols and training materials, as well as web-based support (fig 1). We term these hospitals “first-hand” dissemination sites because they had the closest contact and engagement with the HELP dissemination team. In these hospitals, programme fidelity (table 2) compared with the original programme designed by Inouye et al5,6 was high, although not complete. All 16 of the first-hand dissemination sites had an elder life nurse specialist, who devoted an average of about 26 h/week to HELP. Three quarters of these hospitals had an elder life specialist or programme coordinator, who on average devoted 36 h/week to HELP, and nearly all these hospitals had a geriatrician working with the programme, with an average of 2.5 h/week devoted to the programme. Most first-hand dissemination sites also reported carrying out all or almost all of six core interventions of HELP, and all sites had volunteers participating in patient care interventions, as recommended in the programme protocols. Nonetheless, even in first-hand dissemination sites, local adaptations occurred. For instance, not all hospitals implemented all six interventions, and some did not use the interdisciplinary team rounds as prescribed in the original programme. We found no significant differences between the contracted HELP sites and the sites with similar programmes in the presence or types of staff involved, including hours per week of geriatrician time; however, contracted HELP sites were significantly (p<0.05) less likely than sites with similar programmes to have interdisciplinary rounds (table 2).
Sites adopting programmes similar to HELP: second-hand dissemination
An additional 13 (20.6%) respondents reported that their hospitals had not become a contracted HELP dissemination site but had nonetheless started programmes that they characterised as similar to HELP (fig 1). Of these hospitals that had implemented a programme similar to HELP, reported programme fidelity (table 2) was high for staffing levels and most processes of care. In fact, in the six core interventions, reported implementation was higher for “second-hand” than for first-hand dissemination hospitals, although the difference was not significant. However, we observed significant differences in some process-of-care measures. Compared with contracted HELP dissemination sites (ie, first-hand dissemination hospitals), second-hand dissemination hospitals were significantly more likely to conduct interdisciplinary rounds, and they included volunteers in significantly fewer patient-care interventions.
Another 13 (20.6%) hospitals reported that they had developed clinical guidelines or pathways for delirium but had not implemented HELP or a similar programme (fig 1). Respondents from the remaining 21 (33.4%) hospitals reported that their hospital had no clinical programming that targeted delirium. We observed no significant differences in hospital size, the proportion that was part of a multihospital system, ownership type (ie, for profit or non-profit), or teaching status across the four levels of diffusion. The most commonly reported reasons for non-adoption of HELP were a lack of senior management support, the programme expense and a lack of doctor and nurse leaders for such a programme (table 3).
Perceived effect of the programme
Despite some differences in levels of programme fidelity between the first-hand and second-hand dissemination sites, the perceived effect on patients and staff outcomes did not differ significantly by type of dissemination site (table 4). In most cases the perceived effect of the programme was substantial, with respondents for typically two thirds or more of the hospitals reporting that the programme had either a little or a lot of impact on many positive patient and staff outcomes.
We found that nearly half the hospitals that expressed initial interest in HELP during a 2-year period of active dissemination ultimately adopted HELP or a similar programme as of May 2005, when our study ended. Additionally, several hospitals had developed clinical guidelines or pathways for delirium even if they had not implemented HELP or a similar programme. Although this rate of adoption is substantial, considering the 90% failure rates of most innovations,13 the the findings suggest that realism is important in diffusing evidence-based innovations, as many potential adopting sites may not ultimately take up the new programme despite their initial inquiries and interest. Unlike many clinical innovations that focus on new technology, drugs or medical procedures, HELP is a complex innovation that is labour-intensive and requires coordination across multiple disciplines. As has been suggested before,9,14 such human technologies can present challenges for adopting sites seeking to maintain programme fidelity.
Our findings also disclose information about patterns of adaptation of evidence-based programmes as they diffuse. The results indicated that programme fidelity was generally high among first-hand dissemination sites with strong links to the original HELP dissemination team, although some aspects (ie, aiding sleep intervention and use of interdisciplinary rounds) were less fully implemented. This programme fidelity was apparent across a range of hospitals, diverse in terms of size and teaching status. Our previous research9,10 has suggested that internal aspects of the organisation, such as the administrative and clinical support for the innovation, rather than attributes related to size and teaching status, are central in anticipating the degree of programme adoption and replication.
In addition to the high programme fidelity among the contracted HELP dissemination sites, there was also generally high programme fidelity among the sites that adopted a similar programme but without access to all the protocols and training materials of HELP. However, these second-hand dissemination sites did modify certain processes of care to fit local circumstances. Such adaptations were most apparent not in staffing levels or in implementation of key interventions, but rather in the ways in which interventions were implemented, such as the degree to which volunteers participated in patient-care interventions. The extensive inclusion of volunteers in patient-care interventions may require a change in mindset among clinicians and administrators at the hospital, as well as increased coordination with hospital departments, including the volunteer or social services departments. The fact that we found less programme fidelity in this aspect of the programme is consistent with broader literature on diffusion,15 which suggests that adaptations are typically more common in areas that require substantial culture shift from the status quo and require new coordination efforts.
Interestingly, there were no significant differences between the reported effect of the programmes in the first-hand and second-hand dissemination sites. This may be due to the self-reporting of outcomes and the desire to report a positive effect of the programme. In addition, however, it may signal that the adaptations were in fact important to achieving desired programme effectiveness in the local settings of the hospitals, at least as perceived by the staff most involved in the programme. We could not assess the degree to which the adaptations might compromise or improve the ability to accomplish the objective outcomes of the programme; however, the data suggest that such adaptations did not compromise the effect of the programme as perceived by the adopting hospital. Experts in diffusion in healthcare16 have suggested, in fact, that programme adaptations and modification may be essential to accomplishing the desired goals of the adopters, although these may differ in some respects from the goals of the original programme innovators.
The results of the study should be considered in the light of several issues. All data are self-reported and are therefore subject to the recall and reporting bias that is inherent in such reports. For example, the first-hand dissemination HELP sites typically monitor and track intervention closely, and thus their reports may be data-based and more objective, whereas other sites may have based their reports on more subjective information. Therefore, reported staffing, processes and effects may differ if validated with more comprehensive and objective data. In addition, we had a relatively limited sample size. Nevertheless, we did survey all hospitals that were officially implementing HELP during the study year; hence, the sample is relatively comprehensive for the objectives of the inquiry. Lastly, we surveyed only one person per hospital, and other staff in the hospital may have had differing views regarding how and why a programme was implemented. However, we did interview the person who was most involved in HELP or similar programme implementation and thus was hopefully most knowledgeable about the day-to-day operation of the programme.
Despite the national calls to improve the translation of research into practice, diffusing even evidence-based clinical innovations is a daunting task. In disclosing these challenges in the context of disseminating HELP, several lessons learnt about translating research into practice and programme diffusion emerged. These lessons have been particularly helpful in continuing the administration and spread of HELP nationally and also suggest more general insights about translating evidence-based but complex programmes into practice. Firstly, about one quarter of the sites that expressed initial interest ultimately implemented HELP. This proportion would have been higher if we had excluded from the study participants who were personally interested in HELP but were not in a position or empowered to promote programme adoption at their institutions. Nevertheless, the finding suggests that researchers and funding agencies need to acknowledge the limits on quickly translating research into widespread practice. Secondly, an almost equal number of sites expressing initial interest in HELP did not implement HELP but did implement what they considered a similar programme targeting delirium prevention and improving care for older adults. Therefore, dissemination efforts may be important catalysts for other programmatic improvement even if they do not result in the direct replication of the original programme. Thirdly, as the programme diffused, fidelity to the original specifications of the programme was imperfect. Adaptations occurred in core aspects of the programme (eg, use of volunteers, aiding sleep interventions, and interdisciplinary rounds). Although the effectiveness of a replicated HELP program with adaptations has been shown,11 the effectiveness of other modified programmes similar to HELP has not been formally evaluated. Therefore, it is difficult to anticipate the effect of innovations as they diffuse with programmatic modifications. Future research assessing the connection between programme fidelity and its effectiveness and sustainability over the longer term would benefit organisations adopting it. Fourthly, this and previous studies4,10,17–19 have identified the importance of senior management support, clinical leadership and perceived value in implementing innovations, even those that have strong evidence bases. Our findings highlight the importance of organisational contextual elements, including leadership and perceived expense, in the adoption of innovative clinical programmes. Clinicians, researchers and funding agents seeking to promote effective translation of patient care improvements need to be aware of and plan how to navigate these organisational features to create and sustain positive changes in care.
Funding: This research was supported by grants from the Commonwealth Fund (numbers 20000484 and 990912), the Retirement Research Foundation (number 99-361), the Alzheimer’s Foundation of America, The Institute for Incentives in Health Care, The National Library of Medicine (G08LM08085) and the Claude D Pepper Older Americans Independence Center at Yale (number P30AG21342). EHB is supported in part by the Patrick and Catherine Weldon Donaghue Medical Research Foundation (no DF02-102 and no DF98-105). SKI is also supported partly by grants from the National Institute on Aging (numbers R21AG025193 and K24AG00949).
Competing interests: None.
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