Evaluating the implementation of a national disclosure policy for large-scale adverse events in an integrated health care system: identification of gaps and successes

Associations Between Organizational Communication and Patients' Experience of Prolonged Emotional Impact Following Medical Errors

BACKGROUND

The emotional impact of medical errors on patients may be long-lasting. Factors associated with prolonged emotional impacts are poorly understood.

METHODS

The authors conducted a subanalysis of a 2017 survey (response rate 36.8% [2,536/6,891]) of US adults to assess emotional impact of medical error. Patients reporting a medical error were included if the error occurred ≥ 1 year prior. Duration of emotional impact was categorized into no/short-term impact (impact lasting < 1 month), prolonged impact (> 1 month), and especially prolonged impact (> 1 year). Based on their reported experience with communication about the error, patients' experience was categorized as consistent with national disclosure guidelines, contrary to guidelines, mixed, or neither. Multinomial regression was used to examine associations between patient factors, event characteristics, and organizational communication with prolonged emotional impact (> 1 month, > 1 year).

RESULTS

Of all survey respondents, 17.8% (451/2,536) reported an error occurring ≥ 1 year prior. Of these, 51.2% (231/451) reported prolonged/especially prolonged emotional impact (30.8% prolonged, 20.4% especially prolonged). Factors associated with prolonged emotional impact included female gender (adjusted odds ratio 2.1 [95% confidence interval 1.5-2.9]); low socioeconomic status (SES; 1.7 [1.1-2.7]); physical impact (7.3 [4.3-12.3]); no organizational disclosure and no patient/family error reporting (1.5 [1.03-2.3]); communication contrary to guidelines (4.0 [2.1-7.5]); and mixed communication (2.2 [1.3-3.7]). The same factors were significantly associated with especially prolonged emotional impact (female, 1.7 [1.2-2.5]; low SES, 2.2 [1.3-3.6]; physical impact, 6.8 [3.8-12.5]; no disclosure/reporting, 1.9 [1.2-3.2]; communication contrary to guidelines, 4.6 [2.2-9.4]; mixed communication, 2.1 [1.1-3.9]).

CONCLUSION

Prolonged emotional impact affected more than half of Americans self-reporting a medical error. Organizational failure to communicate according to disclosure guidelines after patient-perceived errors may exacerbate harm, particularly for patients at risk of health care disparities.

Conceptualising contexts, mechanisms and outcomes for implementing large-scale, multisite hospital improvement initiatives: a realist synthesis

DESIGN

Realist synthesis.

STUDY BACKGROUND

Large-scale hospital improvement initiatives can standardise healthcare across multiple sites but results are contingent on the implementation strategies that complement them. The benefits of these implemented interventions are rarely able to be replicated in different contexts. Realist studies explore this phenomenon in depth by identifying underlying context-mechanism-outcome interactions.

OBJECTIVES

To review implementation strategies used in large-scale hospital initiatives and hypothesise initial programme theories for how they worked across different contexts.

METHODS

An iterative, four-step process was applied. Step 1 explored the concepts inherent in large-scale interventions using database searches and snowballing. Step 2 identified strategies used in their implementation. Step 3 identified potential initial programme theories that may explain strategies' mechanisms. Step 4 focused on one strategy-theory pairing to develop and test context-mechanism-outcome hypotheses. Data was drawn from searches (March-May 2020) of MEDLINE, Embase, PubMed and CINAHL, snowballed from key papers, implementation support websites and the expertise of the research team and experts.

INCLUSION CRITERIA

reported implementation of a large-scale, multisite hospital intervention. RAMESES reporting standards were followed.

RESULTS

Concepts were identified from 51 of 381 articles. Large-scale hospital interventions were characterised by a top-down approach, external and internal support and use of evidence-based interventions. We found 302 reports of 28 different implementation strategies from 31 reviews (from a total of 585). Formal theories proposed for the implementation strategies included Diffusion of Innovation, and Organisational Readiness Theory. Twenty-three context-mechanism-outcome statements for implementation strategies associated with planning and assessment activities were proposed. Evidence from the published literature supported the hypothesised programme theories and were consistent with Organisational Readiness Theory's tenets.

CONCLUSION

This paper adds to the literature exploring why large-scale hospital interventions are not always successfully implemented and suggests 24 causative mechanisms and contextual factors that may drive outcomes in the planning and assessment stage.

Patients at the centre after a health care incident: A scoping review of hospital strategies targeting communication and nonmaterial restoration

OBJECTIVE

This study aimed to provide an overview of the strategies adopted by hospitals that target effective communication and nonmaterial restoration (i.e., without a financial or material focus) after health care incidents, and to formulate elements in hospital strategies that patients consider essential by analysing how patients have evaluated these strategies.

BACKGROUND

In the aftermath of a health care incident, hospitals are tasked with responding to the patients' material and nonmaterial needs, mainly restoration and communication. Currently, an overview of these strategies is lacking. In particular, a gap exists concerning how patients evaluate these strategies.

SEARCH STRATEGY AND INCLUSION CRITERIA

To identify studies in this scoping review, and following the methodological framework set out by Arksey and O'Malley, seven subject-relevant electronic databases were used (PubMed, Medline, Embase, CINAHL, PsycARTICLES, PsycINFO and Psychology & Behavioral Sciences Collection). Reference lists of included studies were also checked for relevant studies. Studies were included if published in English, after 2000 and as peer-reviewed articles.

MAIN RESULTS AND SYNTHESIS

The search yielded 13,989 hits. The review has a final inclusion of 16 studies. The inclusion led to an analysis of five different hospital strategies: open disclosure processes, communication-and-resolution programmes, complaints procedures, patients-as-partners in learning from health care incidents and subsequent disclosure, and mediation. The analysis showed three main domains that patients considered essential: interpersonal communication, organisation around disclosure and support and desired outcomes.

PATIENT CONTRIBUTION

This scoping review specifically takes the patient perspective in its methodological design and analysis. Studies were included if they contained an evaluation by patients, and the included studies were analysed on the essential elements for patients.

Protocol for the Rhode Island CORD 3.0 Study: Adapting, Testing, and Packaging the JOIN for ME Family-Based Childhood Obesity Program in Low-Income Communities

Background: Overweight and obesity in children is a public health crisis in the United States. Although evidence-based interventions have been developed, such programs are difficult to access. Dissemination of evidence-based pediatric weight management interventions (PWMIs) to families from diverse low-income communities is the primary objective of the CDC Childhood Obesity Research Demonstration (CORD) projects. Methods: The goal of the Rhode Island CORD 3.0 project is to adapt the evidence-based PWMI, JOIN for ME, for delivery among diverse families from low-income backgrounds and to test it in a hybrid effectiveness-implementation trial design in which the aims are to examine implementation and patient-centered outcomes. Children between the ages of 6 and 12 years with BMI ≥85th percentile and a caregiver will be recruited through two settings, a federally qualified health center, which serves as a patient-centered medical home, or low-income housing. Dyads will receive a remotely delivered group-based intervention that is 10 months in duration and includes 16 weekly sessions, followed by 4 biweekly and 4 monthly meetings. Assessments of child and caregiver weight status and child health-related quality of life will be conducted at baseline, and at 4 and 10 months after the start of intervention. Implementation outcomes assessing intervention acceptability, adoption, feasibility, fidelity, and penetration/reach will be collected to inform subsequent dissemination. Conclusions: If the adapted version of the JOIN for ME intervention can be successfully implemented and is shown to be effective, this project will provide a model for a scalable PWMI for families from low-income backgrounds. ClinicalTrials.gov no. NCT04647760.

From implementation to sustainment: A large-scale adverse event disclosure support program generated through embedded research in the Veterans Health Administration

In 2008, the Veterans Health Administration published a groundbreaking policy on disclosing large-scale adverse events to patients in order to promote transparent communication in cases where harm may not be obvious or even certain. Without embedded research, the evidence on whether or not implementation of this policy was generating more harm than good among Veteran patients was unknown. Through an embedded research-operations partnership, we conducted four research projects that led to the development of an evidence-based large-scale disclosure toolkit and disclosure support program, and its implementation across VA healthcare. Guided by the Consolidated Framework for Implementation Research, we identified specific activities corresponding to planning, engaging, executing, reflecting and evaluating phases in the process of implementation. These activities included planning with operational leaders to establish a shared research agenda; engaging with stakeholders to discuss early results, establishing buy-in of our efforts and receiving feedback; joining existing operational teams to execute the toolkit implementation; partnering with clinical operations to evaluate the toolkit during real-time disclosures; and redesigning the toolkit to meet stakeholders' needs. Critical lessons learned for implementation success included a need for stakeholder collaboration and engagement, an organizational culture involving a strong belief in evidence, a willingness to embed researchers in clinical operation activities, allowing for testing and evaluation of innovative practices, and researchers open to constructive feedback. At the conclusion of the research, VA operations worked with the researchers to continue to support efforts to spread, scale-up and sustain toolkit use across the VA healthcare system, with the final goal to establish long-term sustainability.

Estimating Downstream Budget Impacts in Implementation Research

Health care decision makers often request information showing how a new treatment or intervention will affect their budget (i.e., a budget impact analysis; BIA). In this article, we present key topics for considering how to measure downstream health care costs, a key component of the BIA, when implementing an evidence-based program designed to reduce a quality gap. Tracking health care utilization can be done with administrative or self-reported data, but estimating costs for these utilization data raises 2 issues that are often overlooked in implementation science. The first issue has to do with applicability: are the cost estimates applicable to the health care system that is implementing the quality improvement program? We often use national cost estimates or average payments, without considering whether these cost estimates are appropriate. Second, we need to determine the decision maker's time horizon to identify the costs that vary in that time horizon. If the BIA takes a short-term time horizon, then we should focus on costs that vary in the short run and exclude costs that are fixed over this time. BIA is an increasingly popular tool for health care decision makers interested in understanding the financial effect of implementing an evidence-based program. Without careful consideration of some key conceptual issues, we run the risk of misleading decision makers when presenting results from implementation studies.

Exploring the Association Between Organizational Culture and Large-Scale Adverse Events: Evidence from the Veterans Health Administration

BACKGROUND

Large-scale adverse events (LSAEs) involve unsafe clinical practices stemming from system issues that may affect multiple patients. Although literature suggests a supportive organizational culture may protect against system-related adverse events, no study has explored such a relationship within the context of LSAEs. This study aimed to identify whether staff perceptions of organizational culture were associated with LSAE incidence.

METHODS

The team conducted an exploratory analysis using the 2008-2010 data from the US Department of Veterans Affairs (VA) All Employee Survey (AES). LSAE incidence was the outcome variable in two facilities where similar infection control practice issues occurred, leading to LSAEs. For comparison, four facilities where LSAEs had not occurred were selected, matched on VA-assigned facility complexity and geography. The AES explanatory factors included workgroup-level (civility, employee engagement, leadership, psychological safety, resources, rewards) and hospital-level Likert-type scales for four cultural factors (group, rational, entrepreneurial, bureaucratic). Bivariate analyses and logistic regressions were performed, with individual staff as the unit of analysis from the anonymous AES data.

RESULTS

Responses from 209 AES participants across the six facilities in the sample indicated that the four comparison facilities had significantly higher mean scores compared to the two LSAE facilities for 9 of 10 explanatory factors. The adjusted analyses identified that employee engagement significantly predicted LSAE incidence (odds ratio = 0.58, 95% confidence interval = 0.37-0.90).

CONCLUSION

Staff at the two exposure facilities in this study described their organizational culture to be less supportive. Lower scores in employee engagement may be a contributing factor for LSAEs.

New Zealand District Health Boards' Open Disclosure Policies: A Qualitative Review

BACKGROUND

New Zealand health and disability providers are expected to have local open disclosure policies in place, however, empirical analysis of these policies has not been undertaken.

AIM

This study aims to (1) examine the scope and content of open disclosure policies in New Zealand (2) compare open disclosure policies in New Zealand, and (3) provide baseline results for future research.

METHODS

Open disclosure policies were requested from all twenty New Zealand District Health Boards in June 2016. A total of twenty-one policies were received, with nineteen policies included in the review. The data were analysed using conventional content analysis. Areas of identified guidance were categorised categorized under the headings: 1) identification of an adverse event, 2) actions before disclosure, 3) disclosure of harm, and 4) actions after disclosure.

RESULTS

A total of forty-six distinct areas of guidance could be categorized under the different phases of the open disclosure life-cycle.

CONCLUSION

This review has identified significant unwarranted heterogeneity and important gaps in open disclosure documents in New Zealand which urgently needs to be addressed. Open disclosure policies which are both flexible and specific should enhance the likelihood that injured patients' needs will be met.