The Quick FICS: 5 and 10 Item Versions of the Family Inpatient Communication Survey.

CONTEXT:Communication quality in the hospital impacts outcomes like satisfaction, depression, and anxiety for families, and assessment tools must be efficient and reliable. OBJECTIVES:We developed the Quick FICS-5 and -10, shorter versions of the 30-item Family Inpatient Communication Survey (FICS). METHODS:The Quick FICS were developed from the original FICS study of hospitalized patients 65+ and their surrogates. The development sample came from the original FICS-30 scale. The validation sample came from a randomized controlled trial of surrogates for adult ICU patients. Participants were family members of patients on medical ICU or inpatient medicine services at three hospitals in a Midwest metropolitan area. We evaluated validity and reliability using factor analysis, internal consistency, and associations with surrogate psychological and decision-making outcomes. RESULTS:In the development sample of 364 patient/surrogate dyads, most surrogates were adult children (66.8%), female (70.9%), and white (68.9%). We identified 5-item and 10-item surveys. Exploratory factor analysis supported an overall communication score for the FICS-5 and FICS-10, as well as information and emotional support subscales for the FICS-10. There was high internal reliability (Cronbach's alpha was 0.83 for the FICS-5 and 0.90 for the FICS-10; information and emotional support subscales were 0.89 and 0.75 respectively). There was good predictive validity when comparing FICS scores to outcomes six to eight weeks after discharge, including anxiety (P = -0.13; P = 0.0234), and satisfaction with the hospital stay (P = 0.48; P < 0.0001). Similarly, the validation sample (n = 188) revealed Cronbach's alpha ranging from 0.81 to 0.93 and significant correlations (P < 0.05) with concurrent distress, anxiety, depression, and decision regret. CONCLUSIONS:The Quick FICS offers efficient, valid, and reliable evaluation of communication quality in the hospital that can be useful for research and quality improvement.