Expanding Patient-Reported Outcome (PRO) Assessment Integrated into Routine Clinical Care of Patients with HIV to New Patient-Reported Outcomes Measurement Information System (PROMIS) Domains: Identifying Patient Priorities, Developing Cross-Walks with Legacy Instruments, and Evaluating Predictive Validity [Methods Study], United States, 2015-2019 (ICPSR 39566)
Understanding which aspects of health and wellness are most important to patients living with HIV can help clinics improve care. Clinics often have patients complete surveys about their health and wellness. This study created new sets of survey questions for people living with HIV.
This study had two parts. In the first part, the research team asked patients living with HIV and their clinicians, such as doctors and nurses, what health and wellness topics they found important. In the second part, the team created sets of survey questions for two topics: domestic violence and social support. The team then asked patients living with HIV to answer the questions.
Handling of Missing Data Induced by Time-Varying Covariates in Comparative Effectiveness Research HIV Patients [Methods Study], 2013-2018 (ICPSR 39528)
Researchers can use data from health registries or electronic health records to compare two or more treatments. Registries store data about patients with a specific health problem. These data include how well those patients respond to treatments and information about patient traits, such as age, weight, or blood pressure. But sometimes data about patient traits are missing.
Missing data about patient traits can lead to incorrect study results, especially when traits change over time. For example, weight can change over time, and the patient may not report their weight at some points along the way. Researchers use statistical methods to fill in these missing data.
In this study, the research team compared a new statistical method to fill in missing data with traditional methods. Traditional methods remove patients with missing data or fill in each missing number with a single estimate. The new method creates multiple possible estimates to fill in each missing number.
To access the methods, software, and R package, please visit the SimulateCER GitHub and SimTimeVar CRAN website.