Walsh EA, Safren SA, Penedo FJ, Antoni MH. If we build it, will they come? A scoping review of objective engagement metrics in asynchronous psychosocial telehealth interventions for breast cancer survivors.
Clin Psychol Rev 2024;
107:102374. [PMID:
38171138 DOI:
10.1016/j.cpr.2023.102374]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 12/11/2023] [Accepted: 12/21/2023] [Indexed: 01/05/2024]
Abstract
Burgeoning technologies and the COVID-19 pandemic resulted in a boom of telehealth for immunocompromised patients, such as those with cancer. Telehealth modalities overcome barriers and promote accessibility to care. Currently, efficacious psychosocial interventions exist to address negative aftereffects of a cancer diagnosis and treatment. Many of these interventions often incorporate asynchronous telehealth (e.g., web-based, smartphone mobile app) features. However, asynchronous platforms are limited by suboptimal engagement. Subjective indicators of perceived engagement in the forms of acceptability, feasibility, and adherence are often captured, yet prior research has found discrepancies between perceived and actual engagement. The FITT (frequency, intensity, time/duration, type of engagement) model, originally developed for use to quantify engagement within exercise trials, provides a framework to assess objective engagement of psychosocial interventions for breast cancer. Using 14 keywords and searching six databases through 11/2023, 56 studies that used asynchronous telehealth interventions in breast cancer were identified. All FITT domains were reported at least once across studies with intensity metrics most commonly reported. Nine metrics were described across FITT domains. Human-centered design principles to guide telehealth development and privacy considerations are discussed. Findings offer suggestions for how to represent and optimize objective engagement in asynchronous telehealth cancer care.
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