UCLA Health Patient Health Maintenance Outreach Text Message

Health maintenance measures have been shown to be critical in early detection, secondary prevention, and early management of numerous medical conditions--from diabetes to various cancers. The standardization of these health maintenance measures have resulted in major improvements in population health. Despite the importance of these primary care tests and screenings, many patients are overdue for these tests.

Given this healthcare gap, it is critical to investigate more effective strategies to facilitate health maintenance measure completion. This study aims to evaluate the effectiveness of a variety of behaviorally-informed outreach text messages. The investigators intend to launch the study as a part of UCLA Health's My Action Plan initiative, a UCLA Health primary care outreach quality improvement initiative aimed at encouraging patients to complete their overdue health maintenance measures.

Specifically, the My Action Plan initiative is an outreach effort targeting primary care patients at UCLA who have an outstanding, clinically indicated primary care preventative care gap (e.g., overdue colorectal cancer screening, outstanding diabetes tests). At the beginning of each month, identified UCLA Health primary care patients will be randomized in a 1:1:1:1 ratio to receive one of four text messages informing them that they have an overdue health maintenance measures and urging them to taking action to complete these measures. These text messages will contain a link to their MyChart patient portal account, specifically linking them to a My Action Plan electronic letter that will contain a personalized list of outstanding preventive care items and actionable steps to complete the items.

Within each text-message arm, patients will also be randomized to one of three time slots for getting the message.

The My Action Plan quality improvement initiative is expected to start at the beginning of the 2023 calendar year and continue for a span of at least 12 months. Each month, the initiative targets patients whose birthday falls into that month. The investigators plan to run this randomized clinical trial during four months of the larger QI initiative.

By studying how patients interact with these outreach messages and whether it then translates to them completing their indicated health maintenance measures, the proposed study would provide insightful information on how health systems could optimize electronic patient outreach, narrow the gap in health maintenance measures in primary care, and ultimately improve health on a population level.

Analysis Plan:

• The investigators will utilize patient-level ordinary least squares (OLS) estimation, with statistical inferences based on model-robust standard errors. The primary model term will be indicator variables for arm assignment.
• The analysis will adjust for sex, age, race/ethnicity, indicators for screenings/tests that patients are due for, and whether patients have upcoming primary care appointments. Missing covariate values will be handled by including 'unknown' indicators, along with mean imputation for quantitative covariates.
• The investigators will use this dataset to address two separate research questions.
• Research question 1: The investigators will compare Arm 1 with Arm 2 to test whether more specific or general text message is more likely to improve the outcome measures
• Research question 2: The investigators will compare Arm 3, Arm 4, with Arm 2 to test whether the general intention-oriented message and general action-oriented message can outperform the general text message as well as which of these two messages is better.
• For research question 2, exploratory analyses will investigate heterogeneous treatment effects by patients' baseline motivation (i.e., the extent to which patients seem to have some intentions to get the screenings/tests) in two ways. First, the investigators will use each patient's history of screenings/tests to construct a proxy for their baseline motivation to obtain the due screenings/tests. Specifically, the investigator will calculate, among all the screenings/tests that are included in the My Action Plan Initiative and that a patient was due for in the past few years (exact time window TBD based on data availability), what percentage was completed by the patient (as far as UCLA Health could tell). A higher percentage indicates a higher baseline motivation to get the screenings/tests patients are due for during the study period. Second, the investigators will obtain demographics and medical information that UCLA Health is willing to provide (e.g., gender, age, race/ethnicity, history of cancer and other pre-existing conditions, family cancer history, past adherence to screenings/tests that are included in the My Action Plan Initiative, past receipt of influenza vaccination, frequency of doctor visits; time window of these variables is TBD depending on data availability). With such information, the investigators will train an algorithm to predict patients' baseline motivation level using patients in Arm 2 as the ground truth. Specifically, the investigators will take the aforementioned information about patients in Arm 2 as input, and use whether they complete any of the screenings/visits recommended in the My Action Plan letter within 6 months as the outcome measure. Then the investigators will apply the algorithm to all patients to predict their baseline motivation level. For both approaches, the proxy for baseline motivation (Approach 1) and the predicted baseline motivation level (Approach 2) will be used to analyze the heterogeneous treatment effects of Arms 3 and 4 (vs. Arm 2).
• Additionally the investigators will investigate proxies for whether patients face structural barriers to get screenings/tests as moderators, including socioeconomic factors at the zipcode level, insurance type, proxies for accessibility to healthcare resources such as distance from UCLA Health clinics.
• The investigators will also explore how the effect of text messages varies across the three times of the day when the reminders will be sent.