The development and initial validation of the PROMIS®+HF-27 and PROMIS+HF-10 profiles

Selecting patient-reported outcome measures: "what" and "for whom"

Patient-reported outcomes (PROMs) are becoming more widely implemented across health care for important reasons. However, with thousands of PROMs available and the science of psychometrics becoming more widely applied in health measurement, choosing the right ones to implement can be puzzling. This article provides a framework of the different types of PROMs by organizing them into 4 categories based upon "what" is being measured and "from whom" the questions are asked: (1) condition-specific and domain-specific, (2) condition-specific and global, (3) universal and global, and (4) universal and domain-specific. We delve deeper into each category with clinical examples. This framework can empower health care leaders and policymakers to make more informed decisions when selecting the best PROMs to implement, ensuring PROMs deliver on their potential to promote high quality, patient-centered care.

Challenges of Health Data Use in Multidisciplinary Chronic Disease Care: Perspective from Heart Failure Care

The healthcare sector generates approximately 30% of all the world's data volume, mostly for record keeping, compliance and regulatory requirements, and patient care. Healthcare data often exist in silos or on different systems and platforms due to decentralised storage and data protection laws, limiting accessibility for health service research. Thus, both the lack of access to data and more importantly the inability to control data quality and explore post-trial (phase IV) data or data with translational relevance have an impact on optimising care and research of congestive heart failure (CHF). We highlight that for some diseases, such as CHF, generating non-traditional data has significant importance, but is hindered by the logistics of accessing chronic disease data from separate health silos and by various levels of data quality. Modern multidisciplinary healthcare management of cardiovascular diseases-especially when spanning across community hubs to tertiary healthcare centres-increases the complexities involved between data privacy and access to data for healthcare and health service research. We call for an increased ability to leverage health data across systems, devices, and countries.

Health Status in Heart Failure and Cancer: Analysis of the Medicare Health Outcomes Survey 2016-2020

BACKGROUND

People with heart failure (HF) and cancer experience impaired physical and mental health status. However, health-related quality of life (HRQOL) has not been directly compared between these conditions in a contemporary population of older people.

OBJECTIVES

The authors sought to compare HRQOL in people with HF vs those with lung, colorectal, breast, and prostate cancers.

METHODS

The authors performed a pooled analysis of Medicare Health Outcomes Survey data from 2016 to 2020 in participants ≥65 years of age with a self-reported history of HF or active treatment for lung, colon, breast, or prostate cancer. They used the Veterans RAND-12 physical component score (PCS) and mental component score (MCS), which range from 0-100 with a mean score of 50 (based on the U.S. general population) and an SD of 10. The authors used pairwise Student's t-tests to evaluate for differences in PCS and MCS between groups.

RESULTS

Among participants with HF (n = 71,025; 54% female, 16% Black), mean PCS was 29.5 and mean MCS 47.9. Mean PCS was lower in people with HF compared with lung (31.2; n = 4,165), colorectal (35.6; n = 4,270), breast (37.7; n = 14,542), and prostate (39.6; n = 17,670) cancer (all P < 0.001). Participants with HF had a significantly lower mean MCS than those with lung (31.2), colon (50.0), breast (52.0), and prostate (53.0) cancer (all P < 0.001).

CONCLUSIONS

People with HF experience worse HRQOL than those with cancer actively receiving treatment. The pervasiveness of low HRQOL in HF underscores the need to implement evidence-based interventions that target physical and mental health status and scale multidisciplinary clinics.