Increasing Response Rates

Patient experience surveys are a cornerstone of public reporting and pay-for-performance initiatives. Some healthcare providers, payers, and other stakeholders have expressed concerns about declining response rates and representativeness of these surveys [pdf], especially for underserved groups. Increasing response rates is an important goal. Several strategies have been proposed to increase response rates, including administering surveys via the web, on mobile devices, or at the point of care, offering monetary incentives, and reducing survey length [pdf].

Here’s what peer-reviewed, randomized experiments—the highest-quality research evidence—say about each of these strategies for increasing response rates.

Web-based survey administration

Administering surveys using only web-based modes results in consistently lower response rates than administering by mail or telephone. The most effective strategy for achieving high response rates to patient surveys is to administer them in sequential mixed modes. (In sequential mixed modes, a survey is administered first in one mode, then in another mode to those who haven’t responded yet. In simultaneous mixed modes, a choice of modes is offered from the start.) Mail with telephone follow-up results in response rates 13 percentage points higher than mail-only or telephone-only modes.  Adding a web mode first can further increase the response rates achieved by mail-telephone by 2-5 percentage points. Simultaneous mixed modes do not increase response rates and sometimes decrease them.

Administering patient surveys first by web (with invitation by text or email) in a sequential mixed mode may reduce costs because web outreach is cheaper than mail or telephone. This approach may also reduce the time before survey responses are received, potentially increasing their usefulness for quality improvement.

Web administration can increase response from younger adults while including telephone in a sequential mixed mode approach promotes greater representation by patient age, insurance status, and race and ethnicity.

Administering Patient Surveys at the Point of Care

Surveying patients at the point of care offers the potential advantage of capturing experiences when they are most salient. It also eliminates the need for accurate and comprehensive patient contact information. However, studies show that in-person administration of paper surveys following outpatient and emergency room visits yields lower response rates than mail surveys that include follow-up with non-responders.

It can be challenging to ensure that a representative sample of eligible patients is invited to participate in point-of-service surveys. When healthcare staff are responsible for recruiting respondents, they may intentionally or unintentionally bias who is sampled and how they respond. A number of studies have shown that patients invited to participate in a survey by clinical staff at the point of service give more favorable responses than patients responding via other modes.

In contrast, one study of tablet-based survey administration while parents awaited their child’s discharge from a children’s hospital showed improved response rates and representativeness of respondents. High response rates in this setting may be due to the extended waiting period during hospital discharge.  Patients and families may have fewer competing demands during this time than they do when they are invited to complete a survey at home.

Incentives

Offering monetary incentives to patients who complete surveys can result in 7-20 percentage point increases in response rates. Incentives provided with the initial mail survey invitation yield higher response rates than those provided conditionally upon receipt of completed surveys. Patients generally prefer cash over other types of incentives, such as gift cards. There are a number of reasons that survey sponsors may be reluctant to offer incentives, though. These include legal prohibitions for some surveys, cost constraints, worry that incentives may be perceived as coercion by respondents, and concern that over time, the incentives may erode patients’ intrinsic motivation to complete surveys.

Reducing Survey Length

Despite its intuitive appeal, there is limited evidence on the effects of survey length on response rates to patient surveys. The complexity of the survey matters as much as its length. For example, one study found similar response rates for a 16-page, more complex survey and a 36-page, less complex survey. When administering surveys of similar complexity and interest to potential respondents, shorter survey lengths can result in somewhat higher response rates.

The potential response rate benefit is related to the difference in survey length (e.g., comparing survey length of 4 pages to 7 pages rather than 4 pages to 5 pages). Prior research on patient surveys collected from Medicare beneficiaries in mail-telephone mixed mode found that surveys that are 12 questions shorter are associated with response rates that are 2.5 percentage points higher. But reducing the number of questions on patient surveys results in a loss of information. Reducing complexity helps to increase response rates without losing information that may be useful for quality improvement.

The Takeaway

In sum:

  • Strategies focused solely on reducing burdens, such as very short surveys or web-only administration, may result in the loss of important information.
  • Sequential mixed-mode survey administration promotes the highest response rates to patient surveys. It also increases the representation of hard-to-reach and underserved populations in assessments of patient care.
    • Including telephone follow-up in mixed-mode administration enhances response among those with historically lower response rates. However, it has a relatively higher cost.
    • Including web-based modes in mixed-mode administration may increase response among those with web access at a relatively low cost.
  • Other promising strategies include:
Rebecca Anhang Price

Rebecca Anhang Price

Rebecca Anhang Price is a senior policy researcher at the RAND Corporation. Her research focuses on developing and deploying measures for monitoring and evaluating health care quality, with emphasis on patient and family experiences of care. She currently leads work funded by the Centers for Medicare & Medicaid Services, Agency for Healthcare Research and Quality, and foundations to support national implementation of the Consumer Assessment of Healthcare Providers and Systems (CAHPS) Hospice Survey; assess the hospice component of the Value-Based Insurance Design model; and develop measures of care quality for the seriously ill. She received her Ph.D. in health policy from Harvard University.
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elliott

elliott

Marc N. Elliott (Ph.D. Statistics, Rice University) is a Senior Principal Researcher in RAND Healthcare and holds its Distinguished Chair in Statistics. His work includes sampling, analysis, and reporting efforts to measure and improve the health and healthcare of marginalized groups. His areas of interest include health equity, quality measurement, Medicare, healthcare experiences, survey sampling, experimental design, causal inference, and case-mix adjustment in US and UK applications. He has developed Bayesian methods of estimating race/ethnicity and associated disparities using surname and address information. Elliott led Office of Minority Health work developing novel, cost-effective sampling and analytic methods to improve national health estimates for small racial/ethnic groups. Since 2006, he has led the CMS Medicare CAHPS® (Consumer Assessment of Health Providers and Systems) Analysis project, assessing patient experiences for 400,000 surveyed beneficiaries annually. Since 2012, he has been the RAND co-PI of AHRQ’s CAHPS project and was RAND’s lead statistician on that project 1996-2012. Elliott is a Fellow of the American Statistical Association and the first recipient of its Mid-Career Award (Health Policy Section). He has published over 400 peer-reviewed articles (H-index=94). In 2014, Elliott was recognized by Thomson Reuters as one of the Top 1% of Cited Scientists 2002-2012. In 2017 Elliott became a member of the Academy Health Methods Council.
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drhays

drhays

Distinguished Professor at UCLA
Ron Hays is a UCLA Distinguished Professor of Medicine and affiliated adjunct researcher at the RAND Corporation with a research focus on patient-reported outcomes. He has served as a principal investigator for the AHRQ-funded Consumer Assessment of Healthcare Providers and Systems (CAHPS®) project at RAND since its beginning in 1995. Dr. Hays specializes in patient-reported measurement development and evaluation of measures of patient experience with health care and health-related quality of life.
drhays
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About Rebecca Anhang Price, Marc N. Elliott, and Ron D. Hays

Rebecca Anhang Price is a senior policy researcher at the RAND Corporation. Her research focuses on developing and deploying measures for monitoring and evaluating health care quality, with emphasis on patient and family experiences of care. She currently leads work funded by the Centers for Medicare & Medicaid Services, Agency for Healthcare Research and Quality, and foundations to support national implementation of the Consumer Assessment of Healthcare Providers and Systems (CAHPS) Hospice Survey; assess the hospice component of the Value-Based Insurance Design model; and develop measures of care quality for the seriously ill. She received her Ph.D. in health policy from Harvard University.