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1.
Pediatr Blood Cancer ; 70(11): e30637, 2023 11.
Article in English | MEDLINE | ID: mdl-37592362

ABSTRACT

PROACTIVE (PediatRic Oncology cApaCity Assessment Tool for IntensiVe CarE) is a consensus-derived tool that evaluates pediatric onco-critical care (POCC) services and identifies gaps amenable to improvement. King Hussein Cancer Center (KHCC), an oncology hospital in Jordan, completed PROACTIVE in 2021 and 2022. We evaluated PROACTIVE's ability to identify gaps and improve POCC services at KHCC by analyzing score changes and interviewing site leaders to understand mechanisms of improvement. Results identified three types of outcomes: direct (e.g., improved multidisciplinary communication), indirect (e.g., guidelines implementation), and other outcomes unrelated to PROACTIVE (e.g., funding mechanisms). PROACTIVE can assist institutions strengthen and monitor POCC services over time.


Subject(s)
Neoplasms , Humans , Child , Jordan , Neoplasms/therapy , Medical Oncology , Hospitals
2.
Front Oncol ; 13: 1122355, 2023.
Article in English | MEDLINE | ID: mdl-37207162

ABSTRACT

Background: Pediatric Early Warning Systems (PEWS) aid in identification of deterioration in hospitalized children with cancer but are underutilized in resource-limited settings. Proyecto EVAT is a multicenter quality improvement (QI) collaborative in Latin America to implement PEWS. This study investigates the relationship between hospital characteristics and time required for PEWS implementation. Methods: This convergent mixed-methods study included 23 Proyecto EVAT childhood cancer centers; 5 hospitals representing quick and slow implementers were selected for qualitative analysis. Semi-structured interviews were conducted with 71 stakeholders involved in PEWS implementation. Interviews were recorded, transcribed and translated to English, then coded using a priori and novel codes. Thematic content analysis explored the impact of hospital characteristics and QI experience on time required for PEWS implementation and was supplemented by quantitative analysis exploring the relationship between hospital characteristics and implementation time. Results: In both quantitative and qualitative analysis, material and human resources to support PEWS significantly impacted time to implementation. Lack of resources produced various obstacles that extended time necessary for centers to achieve successful implementation. Hospital characteristics, such as funding structure and type, influenced PEWS implementation time by determining their resource-availability. Prior hospital or implementation leader experience with QI, however, helped facilitate implementation by assisting implementers predict and overcome resource-related challenges. Conclusions: Hospital characteristics impact time required to implement PEWS in resource-limited childhood cancer centers; however, prior QI experience helps anticipate and adapt to resource challenges and more quickly implement PEWS. QI training should be a component of strategies to scale-up use of evidence-based interventions like PEWS in resource-limited settings.

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