Towards a systematic approach for (de)implementation of patient blood management strategies

Multicomponent processes to identify and prioritise low-value care in hospital settings: a scoping review

OBJECTIVES

This scoping review mapped and synthesised original research that identified low-value care in hospital settings as part of multicomponent processes.

DESIGN

Scoping review.

DATA SOURCES

Electronic databases (EMBASE, PubMed, CINAHL, PsycINFO and Cochrane CENTRAL) and grey literature were last searched 11 July and 3 June 2022, respectively, with no language or date restrictions.

ELIGIBILITY CRITERIA

We included original research targeting the identification and prioritisation of low-value care as part of a multicomponent process in hospital settings.

DATA EXTRACTION AND SYNTHESIS

Screening was conducted in duplicate. Data were extracted by one of six authors and checked by another author. A framework synthesis was conducted using seven areas of focus for the review and an overuse framework.

RESULTS

Twenty-seven records were included (21 original studies, 4 abstracts and 2 reviews), originating from high-income countries. Benefit or value (11 records), risk or harm (10 records) were common concepts referred to in records that explicitly defined low-value care (25 records). Evidence of contextualisation including barriers and enablers of low-value care identification processes were identified (25 records). Common components of these processes included initial consensus, consultation, ranking exercise or list development (16 records), and reviews of evidence (16 records). Two records involved engagement of patients and three evaluated the outcomes of multicomponent processes. Five records referenced a theory, model or framework.

CONCLUSIONS

Gaps identified included applying systematic efforts to contextualise the identification of low-value care, involving people with lived experience of hospital care and initiatives in resource poor contexts. Insights were obtained regarding the theories, models and frameworks used to guide initiatives and ways in which the concept 'low-value care' had been used and reported. A priority for further research is evaluating the effect of initiatives that identify low-value care using contextualisation as part of multicomponent processes.

Patient Blood Management in adults and children: what have we achieved, and what still needs to be addressed?

An overview of Patient Blood Management (PBM), with its main scope to preserve the patient's own blood to improve the patient's outcome, is presented here, including the research gaps that needs to be addressed, particularly in the pediatric age group. Next, novel techniques to analyse PBM data and the challenges and strategies of PBM implementation will also be discussed.

Implementation costs of hospital-based computerised decision support systems: a systematic review

BACKGROUND

The importance of accurately costing implementation strategies is increasingly recognised within the field of implementation science. However, there is a lack of methodological guidance for costing implementation, particularly within digital health settings. This study reports on a systematic review of costing analyses conducted alongside implementation of hospital-based computerised decision support systems.

METHODS

PubMed, Embase, Scopus and CINAHL databases were searched between January 2010 and August 2021. Two reviewers independently screened and selected original research studies that were conducted in a hospital setting, examined the implementation of a computerised decision support systems and reported implementation costs. The Expert Recommendations for Implementing Change Framework was used to identify and categorise implementation strategies into clusters. A previously published costing framework was applied to describe the methods used to measure and value implementation costs. The reporting quality of included studies was assessed using the Consolidated Health Economic Evaluation Reporting Standards checklist.

RESULTS

Titles and abstracts of 1836 articles were screened, with nine articles eligible for inclusion in the review. Implementation costs were most frequently reported under the 'evaluative and iterative strategies' cluster, followed by 'provide interactive assistance'. Labour was the largest implementation-related cost in the included papers, irrespective of implementation strategy. Other reported costs included consumables, durable assets and physical space, which was mostly associated with stakeholder training. The methods used to cost implementation were often unclear. There was variation across studies in the overall quality of reporting.

CONCLUSIONS

A relatively small number of papers have described computerised decision support systems implementation costs, and the methods used to measure and value these costs were not well reported. Priorities for future research should include establishing consistent terminology and appropriate methods for estimating and reporting on implementation costs.

TRIAL REGISTRATION

The review protocol is registered with PROSPERO (ID: CRD42021272948).

Development of the SPREAD framework to support the scaling of de-implementation strategies: a mixed-methods study

OBJECTIVE

We aimed to increase the understanding of the scaling of de-implementation strategies by identifying the determinants of the process and developing a determinant framework.

DESIGN AND METHODS

This study has a mixed-methods design. First, we performed an integrative review to build a literature-based framework describing the determinants of the scaling of healthcare innovations and interventions. PubMed and EMBASE were searched for relevant studies from 1995 to December 2020. We systematically extracted the determinants of the scaling of interventions and developed a literature-based framework. Subsequently, this framework was discussed in four focus groups with national and international de-implementation experts. The literature-based framework was complemented by the findings of the focus group meetings and adapted for the scaling of de-implementation strategies.

RESULTS

The literature search resulted in 42 articles that discussed the determinants of the scaling of innovations and interventions. No articles described determinants specifically for de-implementation strategies. During the focus groups, all participants agreed on the relevance of the extracted determinants for the scaling of de-implementation strategies. The experts emphasised that while the determinants are relevant for various countries, the implications differ due to different contexts, cultures and histories. The analyses of the focus groups resulted in additional topics and determinants, namely, medical training, professional networks, interests of stakeholders, clinical guidelines and patients' perspectives. The results of the focus group meetings were combined with the literature framework, which together formed the supporting the scaling of de-implementation strategies (SPREAD) framework. The SPREAD framework includes determinants from four domains: (1) scaling plan, (2) external context, (3) de-implementation strategy and (4) adopters.

CONCLUSIONS

The SPREAD framework describes the determinants of the scaling of de-implementation strategies. These determinants are potential targets for various parties to facilitate the scaling of de-implementation strategies. Future research should validate these determinants of the scaling of de-implementation strategies.

A scoping review of de-implementation frameworks and models

BACKGROUND

Reduction or elimination of inappropriate, ineffective, or potentially harmful healthcare services and public health programs can help to ensure limited resources are used effectively. Frameworks and models (FM) are valuable tools in conceptualizing and guiding the study of de-implementation. This scoping review sought to identify and characterize FM that can be used to study de-implementation as a phenomenon and identify gaps in the literature to inform future model development and application for research.

METHODS

We searched nine databases and eleven journals from a broad array of disciplines (e.g., healthcare, public health, public policy) for de-implementation studies published between 1990 and June 2020. Two raters independently screened titles and abstracts, and then a pair of raters screened all full text records. We extracted information related to setting, discipline, study design, methodology, and FM characteristics from included studies.

RESULTS

The final search yielded 1860 records, from which we screened 126 full text records. We extracted data from 27 articles containing 27 unique FM. Most FM (n = 21) were applicable to two or more levels of the Socio-Ecological Framework, and most commonly assessed constructs were at the organization level (n = 18). Most FM (n = 18) depicted a linear relationship between constructs, few depicted a more complex structure, such as a nested or cyclical relationship. Thirteen studies applied FM in empirical investigations of de-implementation, while 14 articles were commentary or review papers that included FM.

CONCLUSION

De-implementation is a process studied in a broad array of disciplines, yet implementation science has thus far been limited in the integration of learnings from other fields. This review offers an overview of visual representations of FM that implementation researchers and practitioners can use to inform their work. Additional work is needed to test and refine existing FM and to determine the extent to which FM developed in one setting or for a particular topic can be applied to other contexts. Given the extensive availability of FM in implementation science, we suggest researchers build from existing FM rather than recreating novel FM.

REGISTRATION

Not registered.

Determinants for the use and de-implementation of low-value care in health care: a scoping review

BACKGROUND

A considerable proportion of interventions provided to patients lack evidence of their effectiveness. This implies that patients may receive ineffective, unnecessary or even harmful care. However, despite some empirical studies in the field, there has been no synthesis of determinants impacting the use of low-value care (LVC) and the process of de-implementing LVC.

AIM

The aim was to identify determinants influencing the use of LVC, as well as determinants for de-implementation of LVC practices in health care.

METHODS

A scoping review was performed based on the framework by Arksey and O'Malley. We searched four scientific databases, conducted snowball searches of relevant articles and hand searched the journal Implementation Science for peer-reviewed journal articles in English. Articles were included if they were empirical studies reporting on determinants for the use of LVC or de-implementation of LVC. The abstract review and the full-text review were conducted in duplicate and conflicting decisions were discussed until consensus was reached. Data were charted using a piloted data charting form and the determinants were inductively coded and categorised in an iterative process conducted by the project group.

RESULTS

In total, 101 citations were included in the review. Of these, 92 reported on determinants for the use of LVC and nine on determinants for de-implementation. The studies were conducted in a range of health care settings and investigated a variety of LVC practices with LVC medication prescriptions, imaging and screening procedures being the most common. The identified determinants for the use of LVC as well as for de-implementation of LVC practices broadly concerned: patients, professionals, outer context, inner context, process and evidence and LVC practice. The results were discussed in relation to the Consolidated Framework for Implementation Research.

CONCLUSION

The identified determinants largely overlap with existing implementation frameworks, although patient expectations and professionals' fear of malpractice appear to be more prominent determinants for the use and de-implementation of LVC. Thus, existing implementation determinant frameworks may require adaptation to be transferable to de-implementation. Strategies to reduce the use of LVC should specifically consider determinants for the use and de-implementation of LVC.

REGISTRATION

The review has not been registered.

Perspectives on program mis-implementation among U.S. local public health departments

BACKGROUND

Public health resources are limited and best used for effective programs. This study explores associations of mis-implementation in public health (ending effective programs or continuing ineffective programs) with organizational supports for evidence-based decision making among U.S. local health departments.

METHODS

The national U.S. sample for this cross-sectional study was stratified by local health department jurisdiction population size. One person was invited from each randomly selected local health department: the leader in chronic disease, or the director. Of 600 selected, 579 had valid email addresses; 376 completed the survey (64.9% response). Survey items assessed frequency of and reasons for mis-implementation. Participants indicated agreement with statements on organizational supports for evidence-based decision making (7-point Likert).

RESULTS

Thirty percent (30.0%) reported programs often or always ended that should have continued (inappropriate termination); organizational supports for evidence-based decision making were not associated with the frequency of programs ending. The main reason given for inappropriate termination was grant funding ended (86.0%). Fewer (16.4%) reported programs often or always continued that should have ended (inappropriate continuation). Higher perceived organizational supports for evidence-based decision making were associated with less frequent inappropriate continuation (odds ratio = 0.86, 95% confidence interval 0.79, 0.94). All organizational support factors were negatively associated with inappropriate continuation. Top reasons were sustained funding (55.6%) and support from policymakers (34.0%).

CONCLUSIONS

Organizational supports for evidence-based decision making may help local health departments avoid continuing programs that should end. Creative mechanisms of support are needed to avoid inappropriate termination. Understanding what influences mis-implementation can help identify supports for de-implementation of ineffective programs so resources can go towards evidence-based programs.

Blood management in fast-track orthopedic surgery: an evidence-based narrative review

BACKGROUND AND PURPOSE

Innovations able to maintain patient safety while reducing the amount of transfusion add value to orthopedic procedures. Opportunities for improvement arise especially in elective procedures, as long as room for planning is available. Although many strategies have been proposed, there is no consensus about the most successful combination. The purpose of this investigation is to identify information to support blood management strategies in fast-track total joint arthroplasty (TJA) pathway, to (i) support clinical decision making according to current evidence and best practices, and (ii) identify critical issues which need further research.

METHODS AND MATERIALS

We identified conventional blood management strategies in elective orthopedic procedures. We performed an electronic search about blood management strategies in fast-track TJA. We designed tables to match every step of the former with the latter. We submitted the findings to clinicians who operate using fast-track surgery protocols in TJA at our research hospital.

RESULTS

Preoperative anemia detection and treatment, blood anticoagulants/aggregants consumption, transfusion trigger, anesthetic technique, local infiltration analgesia, drainage clamping and removals, and postoperative multimodal thromboprophylaxis are the factors which can add best value to a fast-track pathway, since they provide significant room for planning and prediction.

CONCLUSION

The difference between conventional and fast-track pathways does not lie in the contents of blood management, which are related to surgeons/surgeries, materials used and patients, but in the way these contents are integrated into each other, since elective orthopedic procedures offer significant room for planning. Further studies are needed to identify optimal regimens.

Effectiveness of a patient blood management protocol on reduction of allogeneic red blood cell transfusions in orthopedic surgery

BACKGROUND AND OBJECTIVES

Patient blood management in orthopaedic surgery reduces transfusion risk. The best protocol is unknown. The effectiveness of a protocol based on the Seville Consensus on the reduction of transfusion risk is evaluated and a predictive transfusion equation is proposed in knee surgery.

PATIENTS AND METHODS

Cohort study in patients undergoing knee and hip arthroplasty from January 2014 to December 2015 at a second level complexity hospital in Vilafranca del Penedès (Barcelona). Patients with Hb between 10 and 13g/dL were classified as anaemic with or without iron deficiency and received iron or combination of iron and erythropoietin. On the day of surgery, tranexamic acid was administered, the Hb drop was measured the next day and the requirements and the transfusion lintel were measured during the stay.

RESULTS

A total of 334 patients were included in the study. The implementation of the programme decreased the transfusion risk from 41.5% to 14.8% at the end of the study. In hip surgery, transfused patients were significantly older, sicker and with lower preoperative Hb. Tranexamic acid did not decrease bleeding. In knee surgery, the administration of tranexamic acid was the variable that most decreased the transfusion risk followed by a high preoperative Hb. The equation predicts transfusion risk with a sensitivity of 55% and specificity of 95.7%.

CONCLUSION

The implementation of the programme reduces transfusion risk. The effectiveness of tranexamic acid varies according to surgery site. The use of iron and recombinant human erythropoietin is necessary to improve Hb.