%0 Journal Article
%T Inpatient vs. Outpatient: A Systematic Review of Information Needs throughout the Heart Failure Patient Journey.
%A Cotie LM
%A Pakosh M
%A Ghisi GLM
%J J Clin Med
%V 13
%N 4
%D 2024 Feb 14
%M 38398398
%F 4.964
%R 10.3390/jcm13041085
%X The objective of this systematic review was to identify and describe information needs for individuals with heart failure (HF) throughout their patient journey. Six databases were searched (APA PsycINFO, CINAHL Ultimate, Embase, Emcare Nursing, Medline ALL, and Web of Science Core Collection) from inception to February 2023. Search strategies were developed utilizing the PICO framework. Potential studies of any methodological design were considered for inclusion through a snowball hand search. Data from the included articles were extracted by a reviewer, and the extraction accuracy was independently cross-checked by another author. Quality appraisal was assessed using the Mixed-Methods Appraisal Tool. A narrative synthesis was used to analyze all the outcomes according to the Synthesis Without Meta-analysis reporting guidelines. Twenty-five studies (15 quantitative and 10 qualitative) were included. Socioeconomic, cultural, and demographic factors influencing information needs were considered. The top three information needs for outpatients included general HF information, signs and symptoms and disease management strategies. For inpatients, medications, risk factors, and general HF were reported as the top needs. These divergent needs emphasize the importance of tailored education at different stages. Additionally, the review identified gaps in global representation, with limited studies from Africa and South America, underscoring the need for inclusive research. The findings caution against overgeneralization due to varied reporting methods. Practical implications call for culturally sensitive interventions to address nuanced HF patients' needs, while future research must prioritize standardized reporting, consider diverse patient journey timepoints, and minimize biases for enhanced reliability and applicability.