Female Sexual Function Index Short Version: A MsFLASH Item Response Analysis

The Female Sexual Function Index (FSFI) is a psychometrically sound and popular 19-item self-report measure, but its length may preclude its use in studies with multiple outcome measures, especially when sexual function is not a primary endpoint. Only one attempt has been made to create a shorter scale, resulting in the Italian FSFI-6, later translated into Spanish and Korean without further psychometric analysis. Our study evaluated whether a subset of items on the 19-item English-language FSFI would perform as well as the full-length FSFI in peri- and post-menopausal women. We used baseline data from 898 peri- and post-menopausal women recruited from multiple communities, ages 42–62 years, and enrolled in randomized controlled trials for vasomotor symptom management. Goals were to (1) create a psychometrically sound, shorter version of the FSFI for use in peri- and post-menopausal women as a continuous measure and (2) compare it to the Italian FSFI-6. Results indicated that a 9-item scale provided more information than the FSFI-6 across a spectrum of sexual functioning, was able to capture sample variability, and showed sufficient range without floor or ceiling effects. All but one of the items from the Italian 6-item version were included in the 9-item version. Most omitted FSFI items focused on frequency of events or experiences. When assessment of sexual function is a secondary endpoint and subject burden related to questionnaire length is a priority, the 9-item FSFI may provide important information about sexual function in English-speaking peri- and post-menopausal women

Social risks and social needs in a health insurance exchange sample: a longitudinal evaluation of utilization

Abstract Background Health systems are increasingly attempting to intervene on social adversity as a strategy to improve health care outcomes. To inform health system efforts to screen for social adversity, we sought to explore the stability of social risk and interest in assistance over time and to evaluate whether the social risk was associated with subsequent healthcare utilization. Methods We surveyed Kaiser Permanente members receiving subsidies from the healthcare exchange in Southern California to assess their social risk and desire for assistance using the Accountable Health Communities instrument. A subset of initial respondents was randomized to be re-surveyed at either three or six months later. Results A total of 228 participants completed the survey at both time points. Social risks were moderate to strongly stable across three and six months (Kappa range = .59-.89); however, social adversity profiles that included participants’ desire for assistance were more labile (3-month Kappa = .52; 95% CI = .41-.64 & 6-month Kappa = .48; 95% CI = .36-.6). Only housing-related social risks were associated with an increase in acute care (emergency, urgent care) six months after initial screening; no other associations between social risk and utilization were observed. Conclusions This study suggests that screening for social risk may be appropriate at intervals of six months, or perhaps longer, but that assessing desire for assistance may need to occur more frequently. Housing risks were associated with increases in acute care. Health systems may need to engage in screening and referral to resources to improve overall care and ultimately patient total health

The Relationship of Perceived Risk and Biases in Perceived Risk to Fracture Prevention Behavior in Older Women

BACKGROUND: A bias in perceived risk for health outcomes, including fracture, exists. PURPOSE: We compared perceived risk and biases in perceived risk for fracture to fracture preventive behavior. METHODS: Women over age 55 (n=2874) completed a survey five times over five years and data was pulled from the medical record. Perceived risk was measured by asking women to rate their risk of fracture compared to similar women. Actual risk was measured using FRAX score. Bias was measured using an interaction between perceived and actual risk. RESULTS: Higher perceived risk was related to lower quality of life and self-reported health, more medication and calcium use, increased bone density scan use and less walking. Bias was only associated with less medication use. Neither perceived risk nor bias predicted medication adherence. CONCLUSIONS: Perceived risk, but not bias, may predict different fracture prevention behaviors. Clinicians may need to base interventions on risk perceptions