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J Am Dent Assoc, Vol 140, No 2, 229-237.
© 2009 American Dental Association |
TRENDS |
Using Insured Patients Experiences as a Gauge of Dental Care Quality
| ABSTRACT |
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Methods. The authors identified domains of dental care quality via qualitative methods, including a literature review, stakeholder interviews and focus groups with beneficiaries, and they cognitively tested draft questions with patients to yield a pilot survey. Psychometric analyses of pilot data (n = 3,264) identified summary indexes and guided survey revisions. The authors used two waves of subsequent data collection (n = 4,221) to test the validity of the revised survey.
Results. The mean response rate across three rounds of data collection was 51 percent. Statistical analysis indicated that 17 questions could be reliably collapsed into three composite measures: "Care From Dentist and Staff" (reliability = 0.89, scaling success = 100 percent); "Access to Dental Care" (reliability = 0.78, scaling success = 100 percent); and "Dental Plan Coverage/Service" (reliability = 0.84, scaling success = 100 percent).
Conclusions. The validity of the survey was supported in mail and Internet modes for the American English language, and the instrument was approved by the CAHPS consortium for distribution as the CAHPS Dental Plan Survey.
Practice Implications. A tool is available now for assessing dental care quality by measuring adult patients experiences with their dental care and coverage. The authors tested this instrument only in a population with third-party coverage, however, which is a potential limitation that should be considered.
Key Words: Dental care quality; dental plan quality; CAHPS; patient surveys; patient satisfaction; quality benchmarking
Abbreviations: AHRQ: Agency for Healthcare Research and Quality. AIR: American Institutes for Research. CAHPS: Consumer Assessment of Healthcare Providers and Systems. CFA: Confirmatory factor analysis. CFI: Comparative fit index. EFA: Exploratory factor analyses. GED: General Educational Development. NNFI: Nonnormed fit index. RMSEA: Root mean square error of approximation.
The goal of dental care is to improve the health and meet the functional needs of patients. However, there is no standard, non-proprietary method for providing national benchmarks of dental care quality based on patient reports, and dentistry has little systematic information about delivery system outcomes.1,2 However, it is difficult to create a survey that provides actionable results and covers all topics important to various stakeholders while being short enough for practical use. The purpose of this research was to develop such a tool.
Although investigators can use clinical and administrative data to obtain some performance indicators, some aspects of dental care can be captured only by surveying patients.3 On the basis of a literature review of patient-reported outcomes in dental care, we determined that the topics studied most frequently were in three areas: communication and interaction with the dental care provider4–9; patient anxiety, fear in anticipation of pain, and comfort during treatment3,10–12; and technical aspects of care, such as comfort, functionality and esthetics of dental work.13–21 Instruments that do focus on patients experiences tend to use satisfaction-type items to measure their experiences.8,9,19,22 Such reports may tell researchers about patients experiences, but they also can be subject to the emotional state of the respondent and provide little in the way of actionable information. Our goal was to develop a survey based on design principles that would provide scientifically sound, actionable results.
The design and testing of this tool were informed by the Consumer Assessment of Healthcare Providers and Systems (CAHPS) initiative. CAHPS is a public-private initiative begun in 1994 and continuing through 2012 to develop a standard set of surveys of health care quality as experienced and reported by patients.23,24 Widespread adoption of these surveys by providers and/or systems is facilitated by the quality of the methods used to develop, test and disseminate them. These methods include rigorous scientific peer review of results, the involvement of key stakeholders in the design and testing of the surveys, and the distribution of surveys and supporting material free of charge at the Agency for Healthcare Research and Quality (AHRQ) Web site.25
The objective of this project was to develop a dental plan quality survey that, as part of the CAHPS family of surveys distributed and supported by AHRQ, could be used to provide national benchmarks for dental insurance plan performance, especially with regard to the delivery of care. To that end, we followed a program of research that addressed the CAHPS survey design principles shown in Table 1
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| METHODS |
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Literature review. We conducted a search of the MEDLINE and PsycINFO (American Psychological Association, Washington) databases for articles published from 1966 to 2007 by using these key words: dental patient experiences, satisfaction with care, domains, measurement and surveys. Two of us (S.K., C.T.E.) sorted the survey items that we extracted from the reviewed publications into domains. We then evaluated information regarding the reliability and validity testing of the surveys. We supplemented the pool of survey items with several unpublished surveys designed specifically to target the dental plan. We incorporated this information into the protocols that we designed for the stakeholder and focus-group interviews.
Stakeholder interviews. The objectives of the interviews (conducted by S.K., C.T.E. and other employees of AIR) with stakeholders were as follows:
The 12 participants included an expert in dental care policy, an expert in dental services research, dental care insurance plan purchasers and dental care insurance plan providers.
Patient focus groups. A total of 72 dental plan enrollees (recruited by a professional recruiting firm from lists provided by patients insurance companies) participated in 12 focus groups conducted on the east and west coasts (North Carolina and California). The objectives of the focus groups were to identify domains of dental care quality that were important to dental plan enrollees but were not covered by the literature review or key informant interviews; determine which domains of dental care quality were of greatest interest to participants; and determine participants preferred survey mode (that is, mail, telephone, Internet).
We performed qualitative analyses of the literature, the audiotaped interviews with stakeholders and the audiotaped focus groups with dental patients. We drafted questions to address each of 117 unique features of dental care, which we then organized into 20 topic areas. To decrease the burden on respondents, we created a shorter version of this question list by choosing the subsets of questions addressing topic areas that both dental care experts and dental patients identified as being the most critical aspects of care.
Cognitive testing. We evaluated the comprehensibility of the survey items as well as participants ability to navigate the survey by conducting cognitive interviews with 16 dental patients who varied in age, education and health. During each two-hour, one-on-one interview (with an employee of AIR), participants verbalized their thoughts as they responded to survey questions. A trained cognitive interviewer asked scripted, probing follow-up questions to gain additional information about the clarity of the questions and the ease of completing the survey. We rewrote or eliminated questions according to the results of the cognitive testing.
Pilot survey. This process resulted in a 50-item pilot survey that included 20 items to describe the characteristics of respondents and 30 questions about patients interactions with dentists and staff members, ease of finding a dentist and obtaining appointments, office waiting times, and quality of the dental plan, including coverage of services and perceived value. The objective of the pilot test was to determine how the responses to the survey could be summarized into a smaller set of indexes (that is, composite measures); to evaluate the measurement properties of items, composite scores and overall ratings of dental care; and to identify modifications that should be made to the pilot test instrument on the basis of these evaluations. The objective of the two subsequent data collections was to field the revised survey and evaluate its reliability and validity.
Survey administration. The sampling frame for the pilot test consisted of 436,180 patients residing in the 48 contiguous states who had been enrolled in their dental plans for at least 12 consecutive months and had had at least one dental visit in the six-month period before the pilot test. These patients were members of three dental insurance plans, the membership of which currently represents approximately 2.9 million covered lives. We drew a stratified random sample—in which each plan represented its own stratum—of 6,488 members from the sampling frame, with the goal of obtaining 2,100 completed surveys (700 for each of the three plans).
We employed Synovate, a certified CAHPS vendor, to collect the survey data. The vendor mailed survey packages (cover letter, copy of the survey and a return envelope) to the sampled plan members in March 2006. We gave respondents the option of completing the survey online. The vendor mailed a reminder postcard one week later, followed by a second mailing of the survey package to nonrespondents approximately three weeks after that. One week later, the vendor sent a final reminder postcard. Collection of pilot test data ended on May 31, 2006. We followed the same administrative procedures for the two subsequent data collections that took place in the first (wave 1) and third (wave 2) quarters of 2007. Table 2
characterizes the three samples.
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31 as our measure of internal consistency reliability. Internal consistency reliability refers to the amount of systematic variance in scale scores. Scales with reliability coefficients above 0.70 are recommended to provide precision for use in statistical analyses of group-level comparisons.32 Validity. We evaluated the validity of the questions as indicators of a specific composite by examining the Pearson product moment correlations of each question with each composite score (corrected for overlap)33 to determine if those correlations exceeded 0.40 and were higher than the correlation of the question with the two alternative composites (see Results section). We assessed the validity of the composite scores by examining the Pearson product moment correlations of the composite scores with overall ratings of quality.
Variability. We evaluated the variability in the data by examining the distribution of scores for each question and composite, particularly noting the percentage of respondents who gave the highest (that is, the ceiling effect) and lowest (that is, the floor effect) possible responses for the composite. Ceiling effects indicate the percentage of people for whom it would be impossible to assess improvement over time or to distinguish among. Floor effects indicate the percentage of people for whom it would be impossible to assess decrements over time or to distinguish among.
Stability of measurement properties. We evaluated the validity and reliability of the survey data collected through the Internet to determine whether the measurement properties of the survey were comparable across data collection modes. Moreover, at the conclusion of the pilot test, stakeholder representatives from the dental plans requested that additional questions be tested for relevance to the Dental Plan Coverage/Service composite. As a result, we added four questions to the pilot test survey targeted toward aspects of the dental plan. We conducted psychometric analyses, as described above, on data collected from both wave 1 and wave 2 to evaluate the modified version of the survey for comparability to the original (the pilot test).
| RESULTS |
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279 = 350; comparative fit index [CFI] = 0.97; nonnormed fit index [NNFI] = 0.96; root mean square error of approximation [RMSEA] = 0.05; Internet respondents:
279 = 116; CFI = 0.96; NNFI = 0.95; RMSEA = 0.05).
Reliability.
With one exception (the "Access to Dental Care" composite in the pilot data set), these aspects of dental care demonstrated high internal consistency reliability, with Cronbach
coefficients greater than 0.75.27,32
Validity.
The median Pearson product moment correlations in Table 4
summarize the validity of the survey questions as measures of their respective composites (that is, scaling success). A comparison of the magnitude of the convergent and discriminant validity supports the overall validity of the items as indicators of their respective composite scores. Each composite includes items more highly correlated with their own composite than they are with the two competing composites (100 percent scaling success).
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The third row of Table 4
shows that the discriminant validity of the three composites is good. The median correlations of items with the competing composites are, with one exception, lower than 0.40.27,32 The "Access to Dental Care" composite in the pilot data set is the one exception.
The correlations in rows 4 ("Overall Rating of Dental Care") and 5 ("Overall Rating of Dental Plan" (Table 4
) provide further evidence of the validity of the composite measures by demonstrating how the composite scores are related to respondents overall ratings of quality.34 Across all three data sets, "Overall Rating of Dental Care" is highly correlated with the "Care From Dentist and Staff" composite. Similarly, "Overall Rating of Dental Plan" is highly correlated with the "Dental Plan Coverage/Service" composite. Finally, the "Access to Dental Care" composite is correlated more highly with "Overall Rating of Dental Care" than it is with "Overall Rating of Dental Plan".
Variability. None of the three scales exhibited floor effects, and two of the three scales had ceiling effects that were less than 10 percent in two of the three data sets. We observed the greatest problem with the lack of variability for the "Care From Dentist and Staff" composite in all three data sets; more than 50 percent of respondents reported the highest possible score on this composite.
Stability of measurement properties. The measurement properties of the mail data were the same as those of the Internet data (data not shown but available on request) and improved, for the most part, in the wave 1 and wave 2 data sets. The ceiling effect for the "Care From Dentist and Staff" composite did not improve from that which we observed in the pilot sample.
We presented the results of the pilot test for peer review by the consortium of CAHPS scientists. In November 2006, the consortium approved the CAHPS Dental Plan Survey for inclusion into the CAHPS family of instruments. Subsequently, we presented the results from waves 1 and 2 to the consortium for evaluation of the modifications made to the pilot survey and the impact of those changes on the three composites. The consortium approved the changes. This modified version of the CAHPS Dental Plan Survey is available to users free of charge.35
| DISCUSSION |
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Although we do not present the data in this article, we conducted patient-mix analyses to identify characteristics of patients that might affect the way they responded to the survey but that are not a consequence of their experiences with their care or with their dental plan. We assessed an item asking how many dental visits the patient had had in the previous 12 months, an item asking about the respondents overall dental health and several other items (regarding, for example, age, education, sex, race, overall physical health) as possible patient-mix adjusters. The final version of the instrument approved by the CAHPS consortium contains several questions that can be used as patient-mix adjusters. We have recommended that age, education and overall dental health be used as patient-mix adjusters, but users of the survey may find it useful to test their own potential adjusters.
Implications of results. The results of this research suggest that users of this CAHPS Dental Plan Survey can be confident about the quality of the data provided by the survey. The content validity of the survey questions was supported by a review of the literature, key informant interviews and focus groups with patients. The construct validity of the CAHPS Dental Plan Survey composite scores was supported by the results of CFA and by the relationship of the composite scores to patients overall ratings of their dental care and dental plan. In addition, we found the measurement properties of the mail and Internet survey to be comparable and stable when assessed across three data sets. These findings support administration of the survey in either or both of two modes: mail and Internet.
Possible study limitations. Potential users of the survey should note that the measurement properties of the CAHPS Dental Plan Survey have been studied when administered via mail or Internet. No data address the survey reliability and validity when administered via telephone or interactive voice response. While the measurement properties of the American English–language version of the survey are supported by the study findings, the validity of the survey when translated into other languages has not been studied. For example, it is not known whether a Spanish translation of the survey would have comparable measurement properties. Finally, all of the data reported here come from patients who participated in one of three dental plans. A thorough evaluation of the measurement properties of the survey awaits the implementation of the survey by other dental plans or purchasers of dental insurance. This instrument was not designed to assess the experiences of patients who do not have dental insurance.
| CONCLUSION |
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| FOOTNOTES |
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| References |
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This article has been cited by other articles:
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J. D. Bader Challenges in quality assessment of dental care J Am Dent Assoc, December 1, 2009; 140(12): 1456 - 1464. [Full Text] [PDF] |
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