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1.
Implement Sci Commun ; 2(1): 117, 2021 Oct 13.
Article in English | MEDLINE | ID: mdl-34645515

ABSTRACT

BACKGROUND: Hospitalization offers an opportunity for healthcare providers to initiate advance care planning (ACP) conversations, yet such conversations occur infrequently. Barriers to these conversations include attitudes, skill, and time. Our objective was to develop a theory-based, provider-level intervention to increase the frequency of ACP conversations in hospitals. METHODS: We followed a systematic process to develop a theory-based, provider-level intervention to increase ACP conversations between providers and their hospitalized patients. Using principles established in Intervention Mapping and the Behavior Change Wheel, we identified a behavioral target, a theory of behavior change, behavior change techniques, and a mode of delivery. We addressed a limitation of these two processes of intervention development by also establishing a framework of design principles to structure the selection of intervention components. We partnered with a game development company to translate the output into a video game. RESULTS: We identified willingness to engage in ACP conversations as the primary contributor to ACP behavior, and attitudes as a modifiable source of this willingness. We selected self-determination theory, and its emphasis on increasing autonomous motivation, as a relevant theory of behavior change and means of changing attitudes. Second, we mapped the components of autonomous motivation (i.e., autonomy, competence, and relatedness) to relevant behavior change techniques (e.g., identity). Third, we decided to deliver the intervention using a video game and to use the narrative engagement framework, which describes the use of stories to educate, model behavior, and immerse the user, to structure our selection of intervention components. Finally, in collaboration with a game development company, we used this framework to develop an adventure video game (Hopewell Hospitalist). CONCLUSIONS: The systematic development of a theory-based intervention facilitates the mechanistic testing of the efficacy of the intervention, including the specification of hypotheses regarding mediators and moderators of outcomes. The intervention will be tested in a randomized clinical trial.

2.
Health Secur ; 19(5): 459-467, 2021.
Article in English | MEDLINE | ID: mdl-34107775

ABSTRACT

Before the predicted March 2020 surge of COVID-19, US healthcare organizations were charged with developing resource allocation policies. We assessed policy preparedness and substantive triage criteria within existing policies using a cross-sectional survey distributed to public health personnel and healthcare providers between March 23 and April 23, 2020. Personnel and providers from 68 organizations from 34 US states responded. While half of the organizations did not yet have formal allocation policies, all but 4 were in the process of developing policies. Using manual abstraction and natural language processing, we summarize the origins and features of the policies. Most policies included objective triage criteria, specified inapplicable criteria, separated triage and clinical decision making, detailed reassessment plans, offered an appeals process, and addressed palliative care. All but 1 policy referenced a sequential organ failure assessment score as a triage criterion, and 10 policies categorically excluded patients. Six policies were almost identical, tracing their origins to influenza planning. This sample of policies reflects organizational strategies of exemplar-based policy development and the use of objective criteria in triage decisions, either before or instead of clinical judgment, to support ethical distribution of resources. Future guidance is warranted on how to adapt policies across disease type, choose objective criteria, and specify processes that rely on clinical judgments.


Subject(s)
COVID-19 , Triage , Cross-Sectional Studies , Health Care Rationing , Humans , Policy , Resource Allocation , SARS-CoV-2 , Ventilators, Mechanical
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