Use of Telephone and Digital Channels to Engage Socioeconomically Disadvantaged Adults in Health Disparities Research Within a Social Service Setting: Cross-Sectional Study

Email-Based Recruitment Into the Health eHeart Study: Cohort Analysis of Invited Eligible Patients

BACKGROUND

Web- or app-based digital health studies allow for more efficient collection of health data for research. However, remote recruitment into digital health studies can enroll nonrepresentative study samples, hindering the robustness and generalizability of findings. Through the comprehensive evaluation of an email-based campaign on recruitment into the Health eHeart Study, we aim to uncover key sociodemographic and clinical factors that contribute to enrollment.

OBJECTIVE

This study sought to understand the factors related to participation, specifically regarding enrollment, in the Health eHeart Study as a result of a large-scale remote email recruitment campaign.

METHODS

We conducted a cohort analysis on all invited University of California, San Francisco (UCSF) patients to identify sociodemographic and clinical predictors of enrollment into the Health eHeart Study. The primary outcome was enrollment, defined by account registration and consent into the Health eHeart Study. The email recruitment campaign was carried out from August 2015 to February 2016, with electronic health record data extracted between September 2019 and December 2019.

RESULTS

The email recruitment campaign delivered at least 1 email invitation to 93.5% (193,606/206,983) of all invited patients and yielded a 3.6% (7012/193,606) registration rate among contacted patients and an 84.1% (5899/7012) consent rate among registered patients. Adjusted multivariate logistic regression models analyzed independent sociodemographic and clinical predictors of (1) registration among contacted participants and (2) consent among registered participants. Odds of registration were higher among patients who are older, women, non-Hispanic White, active patients with commercial insurance or Medicare, with a higher comorbidity burden, with congestive heart failure, and randomized to receive up to 2 recruitment emails. The odds of registration were lower among those with medical conditions such as dementia, chronic pulmonary disease, moderate or severe liver disease, paraplegia or hemiplegia, renal disease, or cancer. Odds of subsequent consent after initial registration were different, with an inverse trend of being lower among patients who are older and women. The odds of consent were also lower among those with peripheral vascular disease. However, the odds of consent remained higher among patients who were non-Hispanic White and those with commercial insurance.

CONCLUSIONS

This study provides important insights into the potential returns on participant enrollment when digital health study teams invest resources in using email for recruitment. The findings show that participant enrollment was driven more strongly by sociodemographic factors than clinical factors. Overall, email is an extremely efficient means of recruiting participants from a large list into the Health eHeart Study. Despite some improvements in representation, the formulation of truly diverse studies will require additional resources and strategies to overcome persistent participation barriers.

Methods to increase response to postal and electronic questionnaires

BACKGROUND

Self-administered questionnaires are widely used to collect data in epidemiological research, but non-response reduces the effective sample size and can introduce bias. Finding ways to increase response to postal and electronic questionnaires would improve the quality of epidemiological research.

OBJECTIVES

To identify effective strategies to increase response to postal and electronic questionnaires.

SEARCH METHODS

We searched 14 electronic databases up to December 2021 and manually searched the reference lists of relevant trials and reviews. We contacted the authors of all trials or reviews to ask about unpublished trials; where necessary, we also contacted authors to confirm the methods of allocation used and to clarify results presented.

SELECTION CRITERIA

Randomised trials of methods to increase response to postal or electronic questionnaires. We assessed the eligibility of each trial using pre-defined criteria.

DATA COLLECTION AND ANALYSIS

We extracted data on the trial participants, the intervention, the number randomised to intervention and comparison groups and allocation concealment. For each strategy, we estimated pooled odds ratios (OR) and 95% confidence intervals (CI) in a random-effects model. We assessed evidence for selection bias using Egger's weighted regression method and Begg's rank correlation test and funnel plot. We assessed heterogeneity amongst trial odds ratios using a Chi2 test and quantified the degree of inconsistency between trial results using the I2 statistic.

MAIN RESULTS

Postal We found 670 eligible trials that evaluated over 100 different strategies of increasing response to postal questionnaires. We found substantial heterogeneity amongst trial results in half of the strategies. The odds of response almost doubled when: using monetary incentives (odds ratio (OR) 1.86; 95% confidence interval (CI) 1.73 to 1.99; heterogeneity I2 = 85%); using a telephone reminder (OR 1.96; 95% CI 1.03 to 3.74); and when clinical outcome questions were placed last (OR 2.05; 95% CI 1.00 to 4.24). The odds of response increased by about half when: using a shorter questionnaire (OR 1.58; 95% CI 1.40 to 1.78); contacting participants before sending questionnaires (OR 1.36; 95% CI 1.23 to 1.51; I2 = 87%); incentives were given with questionnaires (i.e. unconditional) rather than when given only after participants had returned their questionnaire (i.e. conditional on response) (OR 1.53; 95% CI 1.35 to 1.74); using personalised SMS reminders (OR 1.53; 95% CI 0.97 to 2.42); using a special (recorded) delivery service (OR 1.68; 95% CI 1.36 to 2.08; I2 = 87%); using electronic reminders (OR 1.60; 95% CI 1.10 to 2.33); using intensive follow-up (OR 1.69; 95% CI 0.93 to 3.06); using a more interesting/salient questionnaire (OR 1.73; 95% CI 1.12 to 2.66); and when mentioning an obligation to respond (OR 1.61; 95% CI 1.16 to 2.22). The odds of response also increased with: non-monetary incentives (OR 1.16; 95% CI 1.11 to 1.21; I2 = 80%); a larger monetary incentive (OR 1.24; 95% CI 1.15 to 1.33); a larger non-monetary incentive (OR 1.15; 95% CI 1.00 to 1.33); when a pen was included (OR 1.44; 95% CI 1.38 to 1.50); using personalised materials (OR 1.15; 95% CI 1.09 to 1.21; I2 = 57%); using a single-sided rather than a double-sided questionnaire (OR 1.13; 95% CI 1.02 to 1.25); using stamped return envelopes rather than franked return envelopes (OR 1.23; 95% CI 1.13 to 1.33; I2 = 69%), assuring confidentiality (OR 1.33; 95% CI 1.24 to 1.42); using first-class outward mailing (OR 1.11; 95% CI 1.02 to 1.21); and when questionnaires originated from a university (OR 1.32; 95% CI 1.13 to 1.54). The odds of response were reduced when the questionnaire included questions of a sensitive nature (OR 0.94; 95% CI 0.88 to 1.00). Electronic We found 88 eligible trials that evaluated over 30 different ways of increasing response to electronic questionnaires. We found substantial heterogeneity amongst trial results in half of the strategies. The odds of response tripled when: using a brief letter rather than a detailed letter (OR 3.26; 95% CI 1.79 to 5.94); and when a picture was included in an email (OR 3.05; 95% CI 1.84 to 5.06; I2 = 19%). The odds of response almost doubled when: using monetary incentives (OR 1.88; 95% CI 1.31 to 2.71; I2 = 79%); and using a more interesting topic (OR 1.85; 95% CI 1.52 to 2.26). The odds of response increased by half when: using non-monetary incentives (OR 1.60; 95% CI 1.25 to 2.05); using shorter e-questionnaires (OR 1.51; 95% CI 1.06 to 2.16; I2 = 94%); and using a more interesting e-questionnaire (OR 1.85; 95% CI 1.52 to 2.26). The odds of response increased by a third when: offering survey results as an incentive (OR 1.36; 95% CI 1.16 to 1.59); using a white background (OR 1.31; 95% CI 1.10 to 1.56); and when stressing the benefits to society of response (OR 1.38; 95% CI 1.07 to 1.78; I2 = 41%). The odds of response also increased with: personalised e-questionnaires (OR 1.24; 95% CI 1.17 to 1.32; I2 = 41%); using a simple header (OR 1.23; 95% CI 1.03 to 1.48); giving a deadline (OR 1.18; 95% CI 1.03 to 1.34); and by giving a longer time estimate for completion (OR 1.25; 95% CI 0.96 to 1.64). The odds of response were reduced when: "Survey" was mentioned in the e-mail subject (OR 0.81; 95% CI 0.67 to 0.97); when the email or the e-questionnaire was from a male investigator, or it included a male signature (OR 0.55; 95% CI 0.38 to 0.80); and by using university sponsorship (OR 0.84; 95%CI 0.69 to 1.01). The odds of response using a postal questionnaire were over twice those using an e-questionnaire (OR 2.33; 95% CI 2.25 to 2.42; I2 = 98%). Response also increased when: providing a choice of response mode (electronic or postal) rather than electronic only (OR 1.76 95% CI 1.67 to 1.85; I2 = 97%); and when administering the e-questionnaire by computer rather than by smartphone (OR 1.62 95% CI 1.36 to 1.94).

AUTHORS' CONCLUSIONS

Researchers using postal and electronic questionnaires can increase response using the strategies shown to be effective in this Cochrane review.

Rudin R, Sulca Flores J, Goolkasian G, Sousa J, Rodriguez J, Lipsitz S, Foer D, K. Dalal A. Assessing Equitable Recruitment in a Digital Health Trial for Asthma

OBJECTIVE

This study aimed to assess a multipronged strategy using primarily digital methods to equitably recruit asthma patients into a clinical trial of a digital health intervention.

METHODS

We approached eligible patients using at least one of eight recruitment strategies. We recorded approach dates and the strategy that led to completion of a web-based eligibility questionnaire that was reported during the verbal consent phone call. Study team members conducted monthly sessions using a structured guide to identify recruitment barriers and facilitators. The proportion of participants who reported being recruited by a portal or nonportal strategy was measured as our outcomes. We used Fisher's exact test to compare outcomes by equity variable, and multivariable logistic regression to control for each covariate and adjust effect size estimates. Using grounded theory, we coded and extracted themes regarding recruitment barriers and facilitators.

RESULTS

The majority (84.4%) of patients who met study inclusion criteria were patient portal enrollees. Of 6,366 eligible patients who were approached, 627 completed the eligibility questionnaire and were less frequently Hispanic, less frequently Spanish-speaking, and more frequently patient portal enrollees. Of 445 patients who consented to participate, 241 (54.2%) reported completing the eligibility questionnaire after being contacted by a patient portal message. In adjusted analysis, only race (odds ratio [OR]: 0.46, 95% confidence interval [CI]: 0.28-0.77, p = 0.003) and college education (OR: 0.60, 95% CI: 0.39-0.91, p = 0.016) remained significant. Key recruitment barriers included technology issues (e.g., lack of email access) and facilitators included bilingual study staff, Spanish-language recruitment materials, targeted phone calls, and clinician-initiated "1-click" referrals.

CONCLUSION

A primarily digital strategy to recruit patients into a digital health trial is unlikely to achieve equitable participation, even in a population overrepresented by patient portal enrollees. Nondigital recruitment methods that address racial and educational disparities and less active portal enrollees are necessary to ensure equity in clinical trial enrollment.

Telephone Outreach Enhances Recruitment of Underrepresented Seriously Ill Patients for an Advance Care Planning Pragmatic Trial

BACKGROUND

Patients experiencing systemic patterns of disadvantage, such as racial/ethnic minorities and those with limited English proficiency, are underrepresented in research. This is particularly true for large pragmatic trials of potentially sensitive research topics, such as advance care planning (ACP). It is unclear how phone outreach may affect research participation by underrepresented individuals.

OBJECTIVE

To assess the effect of phone outreach, in addition to standard mail survey recruitment, in a population-based ACP pragmatic trial at three academic health systems in California.

DESIGN

Retrospective cohort study PATIENTS: Primary care patients with serious illness were mailed a survey in their preferred language. Patients who did not initially respond by mail received up to three reminder phone calls with the option of survey completion by phone.

MAIN MEASURES

Effect of phone outreach on survey response rate associated with respondent demographic characteristics (e.g., Social Vulnerability Index [SVI], range 0 (low) to 1 (high)).

RESULTS

Across the health systems, 5998 seriously ill patients were mailed surveys. We obtained completed surveys from 1215 patients (20% response rate); 787 (65%) responded after mail alone and 428 (35%) participated only after phone outreach. Patients recruited after phone outreach compared to mail alone were more socially vulnerable (SVI 0.41 v 0.35, P < 0.001), were more likely to report being a racial/ethnic minority (35% v 28%, P = 0.006), and non-English speaking (16% v 10%, P = 0.005). Age and gender did not differ significantly. The inclusion of phone outreach resulted in a sample that better represented the baseline population than mail alone in racial/ethnic minority (28% mail alone, 30% including phone outreach, 36% baseline population), non-English language preference (10%, 12%, 15%, respectively), and SVI (0.35, 0.37, 0.38, respectively).

CONCLUSIONS

Phone outreach for a population-based survey in a pragmatic trial concerning a potentially sensitive topic significantly enhanced recruitment of underrepresented seriously ill patients.

The relationship between emergency medical services use and social service needs in a pediatric emergency department population

BACKGROUND

Emergency Medical Services (EMS) use for children is correlated with areas of resource deprivation as well as child maltreatment. Households using EMS may have more social needs and be willing to accept services.

OBJECTIVE

To compare social service needs and willingness to accept services in families arriving to a pediatric emergency department (ED) via EMS vs non-EMS, before and during COVID-19.

PARTICIPANTS AND SETTING

Caregivers of children 0-5 years old in a quaternary pediatric ED, with a 1:1 ratio of EMS vs non-EMS arrivals.

METHODS

Participants completed a survey of demographics, social service needs, and willingness to accept services, before and during COVID-19.

RESULTS

Of 220 participants, 84 were enrolled before COVID-19. The EMS group reported less full-time employment (34.6% vs 51.8%, p < 0.05) and more social service needs (2.47 vs 1.76 needs, p < 0.05). Mean score for willingness to accept a service provider in the home was 3.62 for EMS and 3.19 for non-EMS (p = 0.09). Mean score for accepting a phone referral was 3.84 for EMS and 3.40 for non-EMS (p = 0.07). COVID-19 impacted needs for both groups (20.9% EMS vs 30.3% non-EMS). For all subjects presenting to the ED, COVID-19 was associated with decreased food insecurity (28.6% vs 15.4%) and children with a chronic medical condition (31.0% vs 12.5%).

CONCLUSIONS

The EMS group had more social service needs. There was no difference in social services acceptance. COVID-19 affected both groups' needs. Future interventions may use EMS systems to mitigate social service needs which may be risk factors for child abuse.

Evolution of Patient Perceptions of Psoriatic Disease: Results from the Understanding Psoriatic Disease Leveraging Insights for Treatment (UPLIFT) Survey

INTRODUCTION

Since the 2012 Multinational Assessment of Psoriasis and Psoriatic Arthritis (MAPP) survey, several systemic treatments for psoriasis (PsO) and/or psoriatic arthritis (PsA) have been approved. The population-based UPLIFT survey was conducted to understand how perceptions of treatment-related outcomes have evolved, particularly for patients with mild to moderate PsO and/or PsA and their dermatologists.

METHODS

This population- and web-based survey was conducted from 2 March to 3 June 2020, in North America, Europe, and Japan. Adults with self-reported healthcare practitioner (HCP)-diagnosed PsO and/or PsA and dermatologists who spent > 50% of time treating patients and treated ≥ 20 patients with PsO, including plaque PsO, per month were included. Patient participants were recruited at random from online panels; dermatologists were recruited randomly from representative physician panels.

RESULTS

Of 264,054 patient responses, 3806 who self-reported an HCP diagnosis of PsO and/or PsA were included in the final sample; 67% had PsO alone, 28% had PsO and PsA, and 5% had PsA alone. The estimated population prevalence of psoriatic disease was 7% (PsO only: 4%; PsO and PsA: 2%; PsA only: 1%). Most patients (78%) reported PsO-involved body surface area (BSA) ≤ 3 palms, and ~ 90% or more reported itching, redness, flaking, and scales. Many PsO patients without diagnosed PsA reported musculoskeletal symptoms suggestive of PsA (63%). Across BSA categories, approximately one in four patients was not currently receiving treatment and > 50% had Dermatology Life Quality Index score > 5. Patients and dermatologists had different perceptions of PsO severity, office visit discussions, treatment goals, and treatment satisfaction. The survey was conducted during the coronavirus disease 2019 (COVID-19) pandemic, which could have affected assessments of patient-reported outcomes and ability to have in-person HCP visits.

CONCLUSIONS

Patients with PsO and PsA in UPLIFT reported high disease burden, including patients with limited skin involvement. An opportunity exists to align patient and dermatologist perceptions to optimize management of PsO and PsA.

Social and Demographic Patterns of Health-Related Internet Use Among Adults in the United States: A Secondary Data Analysis of the Health Information National Trends Survey

National surveys of U.S. adults have observed significant increases in health-related internet use (HRIU), but there are documented disparities. The study aims to identify social and demographic patterns of health-related internet use among U.S. adults. Using data from the Health Information National Trends Survey (HINTS) 4 cycle 3 and HINTS 5 cycle 1, we examined HRIU across healthcare, health information seeking, and participation on social media. Primary predictors were gender, race/ethnicity, age, education, income, and nativity with adjustments for smoking and survey year. We used multivariable logistic regression with survey weights to identify independent predictors of HRIU. Of the 4817 respondents, 43% had used the internet to find a doctor; 80% had looked online for health information. Only 20% had used social media for a health issue; 7% participated in an online health support group. In multivariable models, older and low SES participants were significantly less likely to use the internet to look for a provider, use the internet to look for health information for themselves or someone else, and less likely to use social media for health issues. Use of the internet for health-related purposes is vast but varies significantly by demographics and intended use.