Health-related quality of life (HRQL) for individuals with self-reported chronic physical and/or mental health conditions: panel survey of an adult sample in the United States.

BACKGROUND: In the US, approximately 53% of adults have at least one chronic condition. Comorbid physical and mental health conditions often have an incremental negative impact on health-related quality of life (HRQL). Primary study objectives were to quantify the impact on HRQL of a) ≥ 1 physical condition , b) ≥ 1 comorbid mental health conditions added to a physical one, c) ≥ 1 mental health condition, and d) ≥ 1 comorbid physical conditions added to at least one related to mental health. Decrements were based on a "Healthy" reference group reporting no chronic conditions. METHODS: Participants were sampled (n = 3877) from the US adult population as part of a 2009 normative survey. Demographics, number/ type of chronic conditions, and HRQL data were self-reported. HRQL was defined through SF-36v2® Physical Component Summary (PCS) scores and Mental Component Summary (MCS) scores. Participant "morbidity" groupings included Healthy; Physical Health Condition only, Mental Health Condition only, and Physical and Mental Health (Comorbid). PCS and MCS scores were also analyzed by physical disease clusters (e.g., cardiovascular, gastrointestinal). Multivariate regression models were used for all analyses. RESULTS: 81% of participants were Caucasian; 9% African American. Males and females were about equally represented; 63% were ≥ 45 years old. The average number of reported chronic conditions was 2.4 (SD = 2.4). Relative to the Healthy group, the Physical Condition group scored 6.4 (males) and 7.5 (females) points lower on PCS. The addition of a comorbid mental health condition resulted in a total reduction of 11 points in PCS and 15 points in MCS. Compared to the Healthy group, ≥ 1 mental health conditions was associated with MCS decrements of 11-12 points. A physical comorbidity led to additional decrements of 3-4 points for MCS, with a total of 15 points. Incremental HRQL burden defined by both MCS and PCS scores was relatively similar across the 5 defined physical disease clusters. CONCLUSION: Results provide quantitative information for US adults on specific PCS and MCS score decrements associated with a comorbid condition related to mental health, as well as a comorbid condition related to physical health.

Interpreting Premenstrual Symptoms Impact Survey scores using outcomes in health-related quality of life and sexual drive impact.

OBJECTIVE: To link the Premenstrual Symptoms Impact Survey (PMSIS) scores to health-related quality of life (HRQOL) and sexual drive impact associated with premenstrual syndrome (PMS) and premenstrual dysphoric disorder (PMDD). STUDY DESIGN: Secondary data analysis was performed using the online survey study for PMSIS development. Women were sorted into 10 mutually exclusive score levels (N = 949). Their responses to the SF-12v2 Health Survey and the sexual drive question were dichotomized to indicate the presence of limitations/impairment. Chi-square analysis was conducted to compare the differences in percentages of women with limitations across 3 representative PMSIS score levels containing (1) women with no indication of PMS, (2) women at risk for PMS but not PMDD, and (3) women at risk for PMDD. RESULTS: The higher the PMSIS score level (more severe impact), the greater the percentage of women reported functional limitations. Women either at risk for PMS or PMDD were significantly more likely to report limitations than women with no indication of PMS in all HRQOL areas except for 2 Physical Functioning items and 1 Mental Health item and the General Health item. Significantly more women with PMS (67.5%) and with PMDD (73.3%) reported sexual drive impact than in women with no PMS (45.7%). CONCLUSION: The associations between PMSIS score levels and the premenstrual symptoms' impact on HRQOL and sexual functioning assist the interpretation of PMSIS scores and use of the tool in reproductive-age women.

Health-related quality of life of heart failure and coronary artery disease patients improved during participation in disease management programs: a longitudinal observational study.

The objective of the study was to examine the burden of coronary artery disease (CAD) and heart failure (HF) on health-related quality of life (HRQOL) and the HRQOL trajectory among participants in a disease management (DM) program characterized by personalized models of education, counseling, and supportive contact. In all, 2,590 CAD and 3,182 HF patients were assessed at baseline and at 3, 6, 9, and 12 months post-enrollment. HRQOL was measured via a computerized dynamic test, whose core consisted of SF-8 items. HRQOL burden was assessed by comparing physical component summary (PCS) and mental component summary (MCS) scores to demographically adjusted US norms and to historical controls. Disease trajectories were assessed with change score analyses and by a categorization of participants as improving, stable, or deteriorating. Among the results, both groups showed between 1.7 to 2.6 times the likelihood of improving over worsening after a full year of DM participation in all measures. In contrast, historical controls experienced no significant HRQOL improvement or decline after 2 years of standard treatment. After 1 or 2 years they were more likely to decline than to improve in their PCS scores and were about as likely to improve as to worsen in their MCS scores. In conclusion, HF places a substantial burden on HRQOL, and the burden of CAD is also noticeable. While the study design does not allow causal interpretations, HRQOL significantly improved for both CAD and HF patients during DM program participation. This trend is in contrast to historic controls, where no significant HRQOL improvement occurred over time.

The acceptability and effectiveness of patient-reported assessments and feedback in a managed behavioral healthcare setting.

OBJECTIVE: To determine whether providing clinicians with the results of a patient-reported mental health assessment would have a significant impact on patients' mental health outcomes. STUDY DESIGN: The study used a portion of the SCL-90 (Symptom Checklist-90) to track the perceived mental health of 1374 patients in a managed behavioral healthcare system over 6 weeks. METHODS: Participants were randomized into a feedback group whose clinicians received clinical feedback reports at intake and at 6 weeks, and a control group whose clinicians received no report. RESULTS: Patients in the feedback group achieved statistically significant improvement in clinical status relative to controls. CONCLUSIONS: Overall, the study suggests that patient-reported mental health assessments have the potential both to become acceptable to clinicians and to improve the effectiveness of clinical care.