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Assessing the Utility of Consumer Surveys for Improving the Quality of Behavioral Health Care Services

J. Randy Koch, PhD Alison B. Breland, PhD Mary Nash, PhD Karen Cropsey, PsyD

Abstract

The development and implementation of provider performance and consumer outcome measures for behavioral health care have been growing over the last decade, presumably because they are useful tools for improving service quality. However, the extent to which providers have successfully used performance measurement results has not been adequately determined. To this end, two methods were used to better understand the use of data obtained from an annual survey of behavioral health care consumers: a cross-sectional survey of executive directors, clinical program directors, and quality improvement directors and follow-up interviews with a subsample of survey respondents. Results revealed information about the use of consumer survey data, factors that facilitate and hinder the use of results, as well as respondents’ opinions about consumer survey administration procedures. These findings provide valuable information for the application of performance measures and, ultimately, improving consumer outcomes.

Address correspondence to Alison B. Breland, PhD, Institute for Drug and Alcohol Studies, Virginia Commonwealth University, McGuire Hall, Rm. B08, 1112 East Clay Street( P.O. Box 980310, Richmond, VA 23298, USA. Phone: +1-804- 6282300; Fax: +1-804-8287862; E-mail: [email protected]. J. Randy Koch, PhD, Institute for Drug and Alcohol Studies, Virginia Commonwealth University, P.O. Box 980310,

Richmond, VA, USA. Phone: +1-804-8288633; Fax: +1-804-8287862; E-mail: [email protected] Mary Nash, PhD, School of Human and Organization Development, Fielding Graduate University, Santa Barbara, CA,

USA. Phone: +1-757-4356589; Fax: +1-757-4356589; E-mail: [email protected] Karen Cropsey, PsyD, Department of Psychiatry and Behavioral Neurobiology, University of Alabama School of

Medicine, Birmingham, AL, USA. Phone: +1-205-9160135; Fax: +1-205-9409258; E-mail: [email protected] This research was performed at the Virginia Commonwealth University, Institute for Drug and Alcohol Studies, 1112 East

Clay Street, Suite B-08, Richmond, VA 23298.

Journal of Behavioral Health Services & Research, 2010. c) 2010 National Council for Community Behavioral Healthcare.

234 The Journal of Behavioral Health Services & Research 38:2 April 2011

Introduction

Over the past decade, there has been significant growth in the development and implementation of provider performance and consumer outcome measures for the behavioral health care field. The Federal Substance Abuse and Mental Health Services Administration has been at the forefront in the development of performance measures for the public behavioral health care system and has sponsored several initiatives that have facilitated the acceptance of performance measurement as an essential business practice, including the Mental Health Statistics Improvement Program (MHSIP) Consumer-Oriented Report Card,1 the Outcomes Roundtable for Children and Families, and the Forum on Performance Measures. The private sector has also been actively promoting the use of performance measures through accreditation organizations that may require or strongly encourage provider organizations and health plans to establish performance measurement systems (e.g., the ORYX program operated by The Joint Commission, the Health Care Effectiveness Data and Information Set sponsored by the National Committee for Quality Assurance (NCQA), and the uSPEQ system of the Council on Accreditation of Rehabilitation Facilities (CARF)).

A key rationale for requiring the implementation of performance measures is their presumed value to providers for improving the quality of services they deliver to consumers; importantly, increased consumer satisfaction has been associated with better drug use outcomes after treatment.2

However, although there is anecdotal evidence that some providers have successfully used performance measurement results to improve the quality of services, the extent to which this has occurred has not been determined. In addition, understanding how the usefulness of performance data can be improved, as well as identifying barriers to using performance measurement data for quality improvement (QI), needs to be explored. Given the widespread use of performance measures in both the public and private sectors and the cost associated with their implementation, it is critical that these and related questions be addressed.

Performance measurement systems are diverse and often complicated. In particular, these systems may include a variety of different types of measures (e.g., standardized clinical instruments and measures generated from administrative data). However, for a variety of reasons (e.g., cost, ease of data collection, and the desire to obtain input directly from consumers), consumer surveys have become popular, common components of existing measurement systems. For example, consumer surveys are now widely used to assess consumers’ perceptions of service accessibility, cultural sensitivity, and treatment outcomes.3,4 In fact, the States are now requested to provide some key performance indicators, including the results of a consumer survey, as part of the Federal mental health (MH) block grant.5 Further, consumer surveys can be used along with other sources of data (e.g., administrative data) to more fully understand a particular issue. As an example, administrative data might show that cost for a service is relatively low, but consumer survey data could show that consumers actually perceive the cost to be burdensome. Using multiple sources of data in this way can improve consumer services and highlights the importance of consumer surveys. Thus, determining the usefulness of consumer surveys for improving the quality of behavioral health care services is particularly important.

Consumer surveys have been used in behavioral health care for over a decade and are an established tool for assessing the quality of care.3,6–10 Studies have shown that higher levels of satisfaction are significantly associated with appropriate technical quality of care11 and with longer lengths of stay, which in turn is associated with more positive clinical outcomes.12 Satisfaction with access and satisfaction with effectiveness of substance use disorder treatment have been found to be significantly associated with abstinence from substance use at 1 year.13 Additionally, higher satisfaction with provider interpersonal relationships has also been found to be associated with quality care.14

Despite being considered a key measure of health care quality, the actual utility of consumer survey outcomes for quality improvement remains largely unexamined and unrealized.15–18 The

Assessing the Utility of Consumer Surveys KOCH et al. 235

literature indicates several possible reasons for the lack of integration of quality improvement principles and efforts into behavioral health care, including a lack of consensus on meaningful and feasible measures of care,19 an inability to specifically define the elements of high quality care,20

and a scarcity of comparative results.21 Also, potential self-report bias,22 the formidableness of the challenge,17,23 and organizational or system characteristics such as change management and readiness for change, culture, knowledge management and information dissemination, support, and infrastructure are often cited.22–26

To date, there have been very few studies published in peer-reviewed journals examining the use of consumer survey data for quality improvement in behavioral health care programs. In one recent study, staff members were supported in a quality improvement intervention using data from a consumer survey.27 In another, interviews were conducted with senior health professionals to determine barriers to using patient survey data in quality improvement.28 However, no studies have measured actual use of consumer survey data for quality improvement. This study had two main goals:

1. To better understand the extent to which community treatment programs (CTPs) use consumer survey data, as well as which factors facilitated and hindered use

2. To explore which consumer survey and organizational characteristics are related to the use of consumer survey data.

Method

Project site

This study was conducted with CTPs located in Virginia. The behavioral health care system in Virginia is particularly well suited as a site for a study on the use of consumer surveys for several reasons. First, the public sector in Virginia uses the MHSIP Consumer Survey29 and the Youth Services Survey for Families (YSSF30), the two most widely used consumer surveys for public behavioral health care services. Second, Virginia has a long history of using these surveys. The MHSIP Consumer Survey has been conducted annually since 1996, and the YSSF has been conducted annually since 2000. Third, Virginia has developed relatively sophisticated reports of consumer survey results that include case-mix adjusted results and individual comparisons to “similar” CTPs identified through cluster analyses.

Procedures

The study had two components: (1) development, field testing, and administration of a cross- sectional web-based survey, based on issues/themes identified through discussion groups with key stakeholders and a review of the literature; and (2) semistructured follow-up interviews conducted with selected survey respondents to examine in greater depth issues identified through the web- based survey.

Development of the cross-sectional survey

Discussion groups were convened in order to generate items for the CTP survey. These groups were conducted separately with a panel of national experts and agency staff (leaders/managers) from a sample of public and private CTPs. The national expert discussion group was conducted via conference call with seven persons recognized as leaders in the field of behavioral health care performance measurement and QI, who have specific experience with consumer surveys. Participants in this discussion group were identified by soliciting nominations from national organizations with a particular interest in this area such as MHSIP, The Joint Commission, NCQA,

236 The Journal of Behavioral Health Services & Research 38:2 April 2011

CARF, and the Outcomes Roundtable for Children and Families. Consent was obtained through e- mail. Participants in the discussion group for national experts did not receive compensation.

Four other discussion groups were also conducted—two with community services board (CSB; agencies of local government responsible for providing community-based behavioral health care services in Virginia) staff and two with private-sector groups. Potential participants were identified from contact lists maintained by the Virginia Department of Behavioral Health and Developmental Services (DBHDS), which funds and licenses all 40 of Virginia’s CSBs, and by a private-sector behavioral health care management services organization. Prospective participants were selected using a stratified random sampling procedure in which staff were stratified by type of position (executive director, mental health program director, substance abuse (SA) program director, child/ adolescent program director, and QI/program evaluation director) and geographic area (rural vs. urban). Written informed consent was obtained from participants immediately prior to the initiation of each discussion group. These participants (or their organizations) were each paid a $50.00 stipend to cover transportation costs and were provided lunch.

For the discussion groups with public sector staff, a total of 17 persons from both rural and urban CSBs participated in two groups. For the discussion groups with private-sector staff, a total of six persons participated in two groups. Both groups were made up of a variety of executive directors, clinical program directors, and QI directors.

A set of standardized questions was used to guide each discussion, focusing on the following topics: how consumer survey data are used; factors that facilitate and hinder use; and organizational, staff, and clinical factors related to use. These group discussions were digitally recorded and transcribed, and transcripts were reviewed to identify particular issues and themes.

Outcomes from the discussion groups indicated that CTPs may use consumer survey data for quality assurance, staff development/supervision, public relations, to meet accreditation require- ments, and to support funding requests, among other reasons. In addition, several factors were identified that may facilitate the effective use of these data, including survey items that are actionable (e.g., specific items facilitate use while items that are too broad/general do not provide useful information), data analysis and reporting that provide information at the program and clinician levels with practical interpretation and recommendations, wide dissemination of data/ reports, and the active involvement of different stakeholders, including consumers. Factors that may hinder the use of these data were also identified, including lack of CTP expertise in the analysis and interpretation of data, lack of technical support from funding agencies, and the lack of timely reporting of results. Other themes that emerged included concern about staff burden, the cost–benefit of consumer surveys, how funding agencies or other stakeholders will use the data, the need to have multiple consumer surveys to address the unique needs of individual programs, and concern about the validity of the data due in part to survey items written at too high a grade level or containing professional jargon. Participants were also interested in flexible consumer surveys that could address local issues and concerns (e.g., by being able to add items and to identify the results for particular programs within a larger agency).

To assess the themes identified through the discussion groups, as well as a review of the literature, the CTP Survey was developed. Specific issues addressed through the survey included the extent to which respondents had read the most recent report describing the consumer survey data and the extent to which they used data from the consumer survey (for quality assurance, for quality improvement, to provide feedback to consumers, to provide information to community organizations, to provide feedback as a part of staff supervision/staff performance, to enhance staff morale, to demonstrate accountability, to meet accreditation requirements, to support budget requests, and to identify training/technical assistance needs; 24 items). Other questions asked about respondents’ perceptions regarding what factors support or hinder the use of consumer survey data (e.g., the timeliness of reports, the literacy level of items, the clarity of actions to be taken based on

Assessing the Utility of Consumer Surveys KOCH et al. 237

survey results; 21 items), what factors they think influence the usefulness of this data (e.g., being able to customize items, providing practical interpretation of results, conducting training on the use of data for QI, having local consumers participate in the interpretation and use of survey results; ten items), and their satisfaction with the procedures for administering the survey (five items). Additional items were included in the survey to obtain information about each CTP (e.g., staffing, training, funding, and the general use of data in decision making) that could be used to examine the relationship between CTP organizational characteristics and their use of consumer surveys (12 items). Finally, ten items were included that captured demographic data on survey respondents.

Administration of the CTP survey

The CTP Survey was web-based and administered to selected staff at all 40 CSBs in Virginia and to selected staff at eight private facilities that operate a variety of community treatment programs. Instructions indicated that the questionnaire should be completed by each CSB’s executive director and the directors of mental health services, substance abuse services, and children’s mental health services, as well as the person who directs each CSB’s QI/program evaluation activities where such a position exists (resulting in a maximum of five persons per CSB). For facilities in the private sector, instructions indicated that the survey should be completed by the executive director, program directors for outpatient mental health, substance abuse, and adolescent services, as well as the QI director in facilities that have such a position.

The survey was sent (via a web link) to individuals whose names and e-mail addresses were obtained from databases maintained at the DBHDS, Virginia Association of Community Services Boards (VACSB), and from a private-sector behavioral health care management services organization. The survey was conducted using a modified Dillman method.31 Thus, a total of three electronic mailings were conducted. The first mailing included a cover letter with a link to the web-based questionnaire. Approximately 1 week later, a reminder e-mail was sent to all nonrespondents along with the link to the questionnaire. Finally, 2 weeks after the first reminder message was sent, a third reminder was e-mailed to nonrespondents. Individuals who participated in the survey were entered into a drawing in which six randomly selected respondents would receive $100 in cash to be used for professional development. Unfortunately, the private-sector consumer satisfaction survey was discontinued after the discussion groups and just prior to administration of the online survey. Although the participants were encouraged to complete this survey based on their most recent experience with their satisfaction survey, there were only six completed surveys from the private-sector group. This was an insufficient number of cases for analysis, and this group was dropped from analysis of the CTP data as well as the final phase of the study (i.e., the follow-up interviews described below).

Follow-up interviews

In order to provide a more in-depth examination about how consumer survey data are used, follow- up telephone interviews were conducted with 16 CSB staff, drawn from each respondent group (i.e., executive directors, quality managers, and clinical program directors). Participants who reported the highest (n=9) and lowest use (n=7) of consumer survey data were selected based on their answers to items on the web-based survey in which they reported on their use of the consumer survey for each of 11 specific purposes (e.g., QI, staff supervision, and accreditation). All 11 items were dichotomously scored, with a score of 1 indicating that the respondent had used the consumer survey for that purpose.

Potential interviewees were notified by e-mail that they had been selected for the follow-up interview. If an individual declined to participate in the follow-up interview, he/she was replaced by the survey respondent who was the next lowest/highest user of consumer survey data. Each interview was approximately 20 to 30 min in duration, and all participants or their organizations

238 The Journal of Behavioral Health Services & Research 38:2 April 2011

were paid $25 for the interview. A semistructured interview format was used to provide a more in- depth examination about how consumer survey data are used to improve service quality, perceived utility of these data, facilitating factors, obstacles, and strategies for overcoming obstacles.

Results

Respondent characteristics

CTP questionnaire

Given staff vacancies and persons serving in more than one position (e.g., the same staff person serving as both the SA and MH director), there were a total of 150 potential respondents. Of that number, 77 completed the survey. Specifically, 64.1% (N=25) of the executive directors and 86.2% (N=25) of the quality managers completed the survey. The response rates for the MH, SA, and child/ family directors were 31%, 32%, and 25%, respectively. Given the small number of respondents from staff in these position categories (N=27), respondents from these three groups were combined into a “clinical program directors” group. The response rate for this group was 32.9%.

Of the 77 respondents who completed the survey, 46.8% were male, most were Caucasian (93.5%; 6.5% were African American), and most were between the ages of 40 and 49 (29%) or 50 and 59 (45.2%). Most (64%) reported having a master’s degree, 9% reported having a doctorate, 6% reported having a bachelor’s degree, and 21% did not indicate a degree. Most respondents indicated that their discipline was in social work (30%) or psychology (30%), and fewer indicated medicine/nursing/rehab counseling/other (13%), business (9%), marriage and family therapy (5%), and education (3%). Ten percent did not indicate a discipline.

Respondents reported several certifications, with most indicating an LCSW (26%), LPC (14.3%), or “other” (26%). In addition, 26% of respondents indicated no certification. Overall, respondents had worked in behavioral health for an average of 24 years (SD=7.7) and had worked at their current CSB for 15.3 years (SD=8.3).

Respondent characteristics—follow-up interviews

As described earlier, participants were divided into high and low users by using a scale computed by adding positive responses from 11 dichotomously scored items. Scores ranged from 1 to 9. Participants identified as high users of the consumer survey included three executive directors, three clinical program directors, and three QI directors, and they came from both urban and rural CSBs. Their mean use score was 7.8 (SD=1.2).

Participants identified as low users of the consumer survey included one executive director, three clinical program directors, and three QI directors, and they came from both urban and rural CSBs. Their mean use score was 1.0 (SD=0.0). Notably, only one executive director indicating very low use agreed to participate in this portion of this study. Overall, most executive directors indicated at least some use of consumer survey results (72%).

CTP survey results

Use of consumer surveys

Most staff reported having read either part of the most recent consumer survey report (61%) or the entire report (13%). When asked if they had used the consumer survey for each of 11 different purposes, the largest percentages of staff indicated that they used the data for quality improvement and for quality assurance, while the smallest percentages of staff indicated that they used consumer survey data to support budget requests and to evaluate individual staff performance (see Fig. 1).

Assessing the Utility of Consumer Surveys KOCH et al. 239

Factors that support use of consumer surveys

CTP staff members were asked to rate 21 factors identified through the literature and discussion groups that support the active use of the consumer surveys. Staff rated each factor on a five-point, Likert-type scale (strongly disagree to strongly agree) on the extent to which the factor was true for the consumer survey and how it is implemented at their CTP. As shown in Table 1, some items were highly rated, while smaller percentages of staff agreed with other items. The most highly rated items included those about adequate staff training and staff support for conducting the consumer survey, as well as items concerning the usefulness of comparing results with other organizations, agency leadership discussing the survey results, and sharing the results throughout the organization. Few respondents indicated that their organization involves consumers in using the survey results or that it is clear how to improve services based on the results.

Factors that influence the usefulness of consumer surveys

Ten factors were identified in the literature and through the discussion groups that may be related to increasing the usefulness of consumer surveys. CTP staff rated each of these in terms of how “important you think each factor is/would be to your organization in facilitating the use of consumer surveys to improve service quality.” Each factor was rated on a four-point scale of “not at all important,” “low importance,” “medium importance,” and “high importance.” As shown in Table 2, factors rated the most important concerned providing information on the practical interpretation of results and data on individual programs and the ability to customize items as

Figure 1 Percent of respondents who answered “yes” to questions about their use of Consumer Survey data during the past year (N=68–75, depending on question)

11.3

22.9

30

33.8

38

46.5

49.3

53.5

53.5

56

59.7

0 10 20 30 40 50 60 70

Individual staff performance

Support budget requests

Staff supervision

Identify training/tech assistance needs

Community education

Enhance staff morale

Meet accreditation requirements

Feedback to individual staff

Demonstrate accountability

Quality assurance

Quality improvement

Percent (%)

240 The Journal of Behavioral Health Services & Research 38:2 April 2011

T a b le

1 F ac to rs

th at

su p p o rt u se

o f co n su m er

su rv ey s

It em

P er ce n t “ a g re e”

o r

“ st ro n g ly

a g re e”

M ea n a

S D

It em

s in

o rd er

o f m o st h ig h ly

ra te d to

le as t h ig h ly

ra te d

S ta ff ar e ad eq u at el y tr ai n ed

to co n d u ct

th e co n su m er

su rv ey

7 9 .3

3 .8 4

0 .8 8

C o m p ar in g su rv ey

re su lt s w it h o th er

o rg an iz at io n s is u se fu l

7 8 .5

3 .8 2

0 .8 5

S ta ff su p p o rt co n d u ct in g th e co n su m er

su rv ey

7 7 .2

3 .8 0

0 .6 4

T h e le ad er sh ip

d is cu ss es

th e re su lt s o f th e co n su m er

su rv ey

7 2 .7

3 .7 3

1 .0 5

C o n su m er

su rv ey

re su lt s ar e sh ar ed

th ro u g h o u t th e o rg an iz at io n

6 9 .2

3 .5 4

0 .9 7

T h er e ar e o th er

o rg an iz at io n s th at

ar e si m il ar

en o u g h to

u s th at

o u r co n su m er

su rv ey

re su lt s

ca n b e co m p ar ed

6 2 .1

3 .5 0

0 .8 5

T h e co n su m er s w h o co m p le te

th e co n su m er

su rv ey

at o u r o rg an iz at io n ar e re p re se n ta ti v e

o f th e co n su m er s w e se rv e

5 4 .7

3 .3 8

0 .8 8

T h e co n su m er

su rv ey

re p o rt p ro v id es

in fo rm

at io n m y o rg an iz at io n n ee d s to

im p ro v e th e q u al it y

o f se rv ic es

w e p ro v id e

4 7 .7

3 .2 5

0 .8 8

M y o rg an iz at io n h as

a d es ig n at ed

te am

re sp o n si b le

fo r en su ri n g th at

th e re su lt s o f th e co n su m er

su rv ey

ar e u se d

4 4 .6

3 .1 2

1 .1 4

M y o rg an iz at io n sh ar es

o u r co n su m er

su rv ey

re su lt s w it h st ak eh o ld er s o u ts id e o f o u r o rg an iz at io n

4 4 .6

3 .0 5

0 .9 9

S u rv ey

it em

s g iv e d et ai le d in fo rm

at io n ab o u t th e q u al it y o f se rv ic es

4 0 .9

3 .0 8

0 .9 3

T h e co n su m er

su rv ey

ac cu ra te ly

as se ss es

th e p er ce p ti o n s o f co n su m er s se rv ed

b y m y o rg an iz at io n

4 0 .0

3 .2 5

0 .7 5

T h e su rv ey

it em

s u se

to o m u ch

p ro fe ss io n al

ja rg o n

3 3 .8

2 .9 4

0 .9 0

T h e co n su m er

su rv ey

re p o rt is p ro v id ed

to th is o rg an iz at io n in

a ti m el y m an n er

3 3 .8

2 .6 9

1 .2 0

M y o rg an iz at io n h as

an es ta b li sh ed

p ro ce ss

to u se

th e re su lt s o f th e co n su m er

su rv ey

3 0 .3

2 .7 3

1 .0 6

C o n su m er s se rv ed

b y m y o rg an iz at io n d o n o t li k e to

co m p le te

th e co n su m er

su rv ey

2 9 .2

3 .2 3

0 .7 0

T h e li te ra cy

le v el

re q u ir ed

to u n d er st an d th e su rv ey

it em

s is ap p ro p ri at e fo r th e co n su m er s w e se rv e

2 8 .8

2 .9 1

0 .9 1

C o n su m er

cu lt u re

en co u ra g es

p o si ti v e re sp o n se s to

th e su rv ey

it em

s 2 4 .6

3 .1 1

0 .7 5

M y o rg an iz at io n sh ar es

th e re su lt s o f th e co n su m er

su rv ey

w it h co n su m er s

2 2 .7

2 .7 1

0 .9 7

It is cl ea r w h at

ac ti o n s sh o u ld

b e ta k en

to im

p ro v e se rv ic es

b as ed

o n su rv ey

re su lt s

1 2 .1

2 .5 6

0 .7 9

C o n su m er s an d /o r fa m il y m em

b er s ac ti v el y p ar ti ci p at e in

u si n g th e re su lt s o f th e co n su m er

su rv ey

3 .0

2 .1 7

0 .7 1

a S co re s ra n g ed

fr o m

1 (s tr o n g ly

d is ag re e)

to 5 (s tr o n g ly

ag re e)

Assessing the Utility of Consumer Surveys KOCH et al. 241

needed. Interestingly, many respondents indicated that it is important for local consumers to participate in the interpretation and use of survey results, although other results indicated that few organizations share consumer survey data with consumers and few actively involve consumers in using the survey results.

Procedures for administering consumer surveys

Each year, all CSBs in Virginia are asked to administer the Adult Consumer Survey to all consumers receiving services during a 1-week period, and a sample of all parents/guardians of youth served are mailed the Youth Services Survey for Families. Detailed procedures are provided to guide the CSBs in administering the surveys. These procedures were also assessed in the CTP Questionnaire; respondents answered questions about either the Adult Consumer Survey or the Youth Services Survey for Families (results collapsed across survey type). Most respondents said they were satisfied with the procedures (61.9%). Fewer respondents were satisfied with the analysis and reporting of the results (49.2%). Also, most respondents indicated a preference that the survey be administered twice per year (73%), as opposed to quarterly/monthly (14.3%), once per year (6.3%), less than once per year (3.2%), or not at all (3.2%).

Table 2 Factors that influence the usefulness of consumer surveys

Item

Percent indicating “medium” or “high” importance Meana SD

Data analysis and reporting include practical interpretation of results

92.0% 3.35 0.77

Results are reported for individual programs 90.4 3.43 0.80 Survey items can be customized to meet the

needs of specific programs or to address current issues

85.7 3.22 0.89

Survey items can be added to the survey to meet the needs of specific programs or to address current issues

84.1 3.30 0.85

Comparisons are provided to similar provider organizations

77.4 3.10 0.90

There is local information technology capacity to analyze and report our consumer survey data

76.2 3.10 0.98

There is local QI/evaluation staff available to conduct analyses of our consumer survey data

73.0 3.03 0.95

It is important for local consumers to participate in the interpretation and use of survey results

70.9 2.89 0.96

Results are provided for individual survey items 67.8 2.95 0.90 Training is provided on how to interpret/use results 61.9 2.83 0.98 aScores ranged from 1 (not important) to 4 (high importance)

242 The Journal of Behavioral Health Services & Research 38:2 April 2011

Finally, most participants indicated that the benefits of conducting the consumer survey were equal to or greater than the cost/burden of conducting the survey (62.3%).

Provider organizational characteristics

Several survey questions asked respondents to rate their organizations on issues such as staffing, training, funding, physical space, coordination/collaboration, and the availability, credibility, and relevance of data used in decision making. As shown in Table 3, few respondents agreed or strongly agreed to items regarding the availability of adequate staffing, funding, and physical

Table 3 Provider organizational characteristics

Item Percent “agree” or “strongly agree” Meana SD

Items in order of most highly rated to least highly rated

Our staff integrate new knowledge and techniques into their work to improve the way in which services are provided

88.5% 4.05 0.69

We regularly integrate new services, programs, and/or initiatives if they are needed

85.0 3.95 0.77

We have collaborations/partnerships with external groups that facilitate important priorities, new programs, and/or initiatives for consumers

83.7 3.90 0.77

Employees understand how their work is related to the goals or mission of our organization

83.6 3.97 0.66

The training and development programs for staff are of high quality

80.3 3.90 0.65

We have a high level of coordination across units and/or departments when it comes to delivering services and programs to consumers

60.6 3.36 1.07

We have the necessary physical space for the services and programs we run

19.6 2.25 1.14

We have few difficulties in adequately staffing our organization

16.0 2.00 1.07

We have funding available to introduce new programs and/or initiatives if they are needed

11.5 2.11 0.99

Questions regarding data Data needed for decision making are available 60.7 3.44 0.87 Data needed for decision making are relevant 58.3 3.50 0.78 Data needed for decision making are credible 50.8 3.38 0.82

aScores ranged from 1 (strongly disagree) to 5 (strongly agree)

Assessing the Utility of Consumer Surveys KOCH et al. 243

space. More respondents agreed with items regarding the integration of new knowledge, techniques, and new services and programs, the existence of productive collaborations/partner- ships, the understanding of employees on how their work relates to the goals and mission of the organization, and the high quality of training. Results on data needed for decision making were mixed: while most agreed that data needed for decision making are available and relevant, fewer indicated that these data are credible.

Exploratory analyses

Additional correlational analyses were conducted to better understand the relationship between respondents’ actual use of consumer survey data and items about the usefulness of the survey, factors that support survey use, preferred frequency of survey administration, and organizational characteristics. To accomplish this analysis, the mean use score variable was used (as described earlier, this variable was computed by adding positive answers from 11 dichotomously scored items; total mean=4.25, SD=2.75). This variable was then correlated with items from the above categories, and the Benjamini-Hochberg procedure32 was used to control for false positives. In total, 47 correlations were conducted, and 11 were significant after the procedure was applied.

Results indicated significant correlations between higher use of the consumer survey data and the following items: having read the Consumer Survey Report (r=0.29; pG.05), agreement that survey items give detailed information (r=0.31; pG.05), agreement that the annual report provides information needed to improve the quality of services (r=0.46; pG.01), and agreement that respondents’ organizations share results throughout the organization (r=0.40; pG.01), with consumers (r=0.50; pG.01), and with stakeholders (r=0.54; pG.01). In addition, respondents’ actual use was correlated with the likelihood that respondents’ organizations had an established process to use the results of the consumer survey (r=0.57; pG.01), that consumers and/or family members actively participate in using the results (r=0.34; pG.01), and that their organization has a designated person/team responsible for ensuring that the results are used (r=0.45; pG.01). Actual use was also correlated with respondents indicating that it is important for results to be provided for each individual survey item (r=0.32; pG.05) and that funding is available to introduce new programs/initiatives if needed (r=0.35; pG.01).

Results from the follow-up interviews

Follow-up interviews allowed for a more in-depth examination into how consumer survey data are used to improve service quality, as well as participants’ perceived utility of these data, facilitating factors, obstacles, and strategies for overcoming obstacles. Participants in the follow-up interviews named similar factors to those in the CTP survey, such as the lack of timely data, the lack of specific data (i.e., by program), and the lack of resources (time, money, staff) and ability to interpret the data and implement related QI initiatives. In addition, participants felt that consumer surveys may have questionable validity (consumers may not understand the questions, response rates may be poor, sample may not be representative) and that the consumer survey could be more useful for QI purposes if the results were provided for each item, specific to program, location, or clinician rather than by organization; if the results were more timely (within 6 months or, best case, real-time); and if training was provided on how to interpret and utilize the data for quality improvement processes.

Participants reported several features of the current consumer survey report that facilitate its use by their CTPs, including the ability to benchmark with state averages; the ability to examine trends across years; the inclusion of written comments by consumers; the inclusion of analyses that they do not have the capacity to conduct; and the inclusion of graphs, visual aids, and summaries that facilitate understanding of reported data.

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The follow-up interview participants that reported using the consumer survey reports to inform quality improvement initiatives indicated that such initiatives focused on access to services (n=4), intake processes (n=3), and wait lists (n=3). For example, one high-use participant described:

. . . rearranging our scheduling of emergency services so people will have easier contact and . . . even a quicker response from our staff . . . added teleconferencing… . . . videoconferencing at two locations . . . and that has helped a great deal.

Another high-use participant stated:

. . . by changing the way we do business. For example, having walk-ins – where people can just walk in and get services without having an appointment – that's just one way that we changed.

Similarly, another participant stated:

We identified that there were problems with returning phone calls . . . we implemented some changes in program practices and that brought those scores up.

In addition, most of the high-use interviewees (five out of nine) reported that they had quality improvement processes in place at their CSBs and were able to articulate these systems and processes. More specifically, one participant stated:

It’s part of our continuous quality improvement…. our city is becoming very involved in management by results and in many ways, we are the model for that… we are used to collecting outcome data and using it to guide our programs.

Fewer of the low-use interviewees (three out of seven) reported that they had quality improvement processes in place in their CSBs. The three low-use participants that did report having quality improvement processes in place reported being unable to use the consumer survey data for this purpose, again due to the inhibiting factors previously described. Interestingly, high users reported being able to overcome these inhibiting factors primarily through conducting in- house data analyses.

Conclusions

The results of this study indicate that there are a variety of factors related to survey content, data analysis/reporting, and technical support/resources that should be addressed in order to improve the likelihood that consumer surveys provide useful data and that these data are actually used to improve treatment services.

Overall, results from the CTP survey and the follow-up interviews revealed general satisfaction with the consumer survey and the protocol used for its administration. Quite interestingly, the major dissatisfaction was with the frequency with which the survey has been conducted; the majority of respondents wanted to conduct the survey more frequently, although only if results were quickly available. The only other major area of dissatisfaction was the long delay between conducting the survey and receiving a report on the results. In addition, study participants indicated that it is important to have practical interpretation of the results, that local consumers participate in the interpretation, and that items can be customized to meet the needs of specific programs or to address current issues.

Few participants indicated that their organization has a designated team responsible for ensuring that the results of the consumer survey are used or that they have an established process for using the results of the consumer survey. Similar barriers to using consumer surveys have been reported in one other study, such as the lack of an effective quality improvement infrastructure, a lack of expertise with survey data, and a lack of timely and specific results.28 Clearly, these barriers need to be addressed.

Further, analyses conducted looking at the relationship between respondents’ actual use of the consumer surveys and other variables indicated that use was significantly correlated with survey

Assessing the Utility of Consumer Surveys KOCH et al. 245

results giving detailed information and recommendations, sharing information with a broad range of stakeholders, the likelihood of having an established process and team to use survey results, and having consumers/family members participate in this process. Potentially, increasing use of consumer survey results might be accomplished by addressing these factors, such as having a supportive environment and a quality improvement process in place.

Given the findings of the study, consumer survey use could be improved by addressing a variety of concerns about survey content and administration procedures, as well as program-level and/or systems-level issues. Survey content could be improved by giving individual CTPs the ability to add items that address issues of local concern and by reporting survey results by individual programs within a given CTP. Survey administration could be improved by conducting the surveys every 6 months rather than annually and by decreasing the amount of time from the administration of the survey to the reporting of results.

At a program level, the use of consumer survey data could be improved by conducting a series of regional workshops coincident with the release of the consumer survey reports to discuss the findings and their implications and to assist CTPs in developing action plans to address weakness identified by the survey. In addition, further training could be provided to CTP staff, especially quality managers, on data analysis/interpretation and QI technology. CTPs could be encouraged to establish standing QI committees to review, respond to, and disseminate consumer survey results to CTP staff, their boards of directors, and their consumers and family members. Further, CTPs could also involve consumers in quality assurance or consumer advisory committees and empower these groups by tasking them with making recommendations. Finally, CTPs could post results in waiting rooms and provide results to consumers at intake. Some of these techniques are potentially free or low cost, an essential component for organizations such as CTPs that often function with limited resources.

At a systems level, incentives could be provided using performance contracting, similar to previous work in this area33 but using the results of the consumer surveys as the performance measurement instead of or in addition to other measures. Also, using other health care organizations’ work on QI interventions as a model,27 a statewide QI team could review consumer survey data and related information, make recommendations, oversee the implementation of changes, and monitor outcomes.

A limitation to this study is the low response rate for program directors, despite the use of the Dillman method (three electronic mailings) and the potential to receive $100 for professional development. Thus, the results’ generalizability to all types of behavioral health care program directors may be limited. This is of particular concern since program directors would typically play the lead role in initiating and implementing program changes.

As has been made apparent in recent policy and research initiatives, improving the quality of behavioral health care is an important priority, due in part to its contribution to the total global burden of illness and impact on all aspects of life.17,24 Several studies have provided recommendations for improving the quality of behavioral health care, including ways to use satisfaction data to guide quality improvement.34–36 While information is becoming more readily available regarding quality improve- ment in health care in general37,38 as well as for behavioral health care,23,39–41 historically, behavioral health has lagged behind general medical services in integrating quality improvement principles into practice.42 Better understanding and then addressing issues related to the use of performance measures can help to improve the impact of these measures and, ultimately, improve services for clients being treated in the behavioral health care system.

Implications for Behavioral Health

Consumer surveys have been used in behavioral health care for decades, but their actual utility for quality improvement remains largely unexamined. By asking CTPs about their use of consumer survey data, the strengths and weaknesses of consumer surveys can be addressed. Findings from

246 The Journal of Behavioral Health Services & Research 38:2 April 2011

this study indicate that, among other results, CTP staff prefer a rapid turnaround of results, multiple administrations each year, and the opportunity to customize items. CTP staff also indicated that having adequate staff training, staff and leadership support, and dissemination of results helped support the use of consumer survey data.

Community treatment providers should be urged to actively incorporate results of consumer surveys into their organizational planning. Suggestions for improving the use of consumer survey data include addressing administration preferences, disseminating findings throughout CTPs and regions, training CTP staff on data interpretation, and establishing QI committees to address these issues. Consumers themselves should be encouraged to participate in this process. Performance contracting, using consumer surveys for measurement, is another possibility.

These steps have the potential to improve the actual use of consumer survey data, which in turn can help improve services for clients being treated in the behavioral health care system.

Acknowledgements

This work was funded by grants from the Commonwealth Health Research Board and the Virginia Department of Behavioral Health and Developmental Services. We would also like to thank Rehana Kader for her assistance with this project.

References

1. Mental Health Statistics Improvement Program. Mental Health Statistics Report Card. 1996. Available at: http://www.mhsip.org/ reportcard/index.html. Accessed May 5, 2009.

2. Zhang Z, Gerstein DR, Friedmann P. (2008). Patient satisfaction and sustained outcomes of drug abuse treatment. Journal of Health Psychology, 13(3), 388–400.

3. Eisen SV, Shaul JA, Leff HS, et al. Toward a national consumer survey: Evaluation of the CABHS and MHSIP instruments. The Journal of Behavioral Health Services and Research 2001; 28(3):347–369.

4. Perreault M, Katerelos TE, Tardif H, et al. Patients’ perspectives on information received in outpatient psychiatric treatment. Journal of Psychiatric and Mental Health Nursing 2006; 13(1):110–116.

5. Center for Mental Health Services. Community mental health services block grant application guidance and instructions FY 2008: Transforming mental healthcare in America. Washington, DC: U.S. Department of Health and Human Services, Substance Abuse and Mental Health Services Administration. 2007.

6. Bjorkman T, Hansson L, Svensson B, et al. What is important in psychiatric outpatient care? Quality of care from the patient’s perspective. International Journal for Quality in Health Care 1995;7:355–362.

7. Campbell J, Einspahr K. Building partnerships in accountability: Consumer satisfaction. In Dickey B, Sederer LI (eds.), Improving mental health care: Commitment to quality Washington, DC: American Psychiatric., 2001, pp. 101–113.

8. Druss BG, Rosenheck RA, Stolar M. Patient satisfaction and administrative measures as indicators of the quality of mental health care. Psychiatric Services 1999; 50(8):1053–1058.

9. Pellegrin KL, Stuart GW, Frueh BC, et al. A brief scale for assessing patients’ satisfaction with care in outpatient psychiatric services. Psychiatric Services 2001; 52:816–819.

10. Young MP. An analysis of the concept ‘patient satisfaction’ as it relates to contemporary nursing care. Journal of Advanced Nursing 1996; 24(6):1241–1248.

11. Edlund MJ, Young AS, Kung FY, et al. Does satisfaction reflect the technical quality of mental health care? Health Services Research 2003; 38(2):631–645.

12. Sanders LM, Trinh C, Sherman BR, et al. Assessment of client satisfaction in a peer counseling substance abuse treatment program for pregnant and postpartum women. Evaluation & Program Planning 1998; 21(3):287–296.

13. Carlson MJ, Gabriel RM. Patient satisfaction, use of services, and one-year outcomes in publicly funded substance abuse treatment. Psychiatric Services 2001; 52(9):1230–1236.

14. Meredith LS, Orlando M, Humphrey N, et al. Are better ratings of the patient–provider relationship associated with quality care for depression? Medical Care 2001; 39(4):349–360.

15. Chilvers R, Harrison G, Sipos A, et al. Evidence into practice: Application of psychological models of change in evidence-based implementation. British Journal of Psychiatry 2002; 181:99–101.

16. Garland AF, Kruse M, Aarons GA. Clinicians and outcomes measurement: What’s the use? Journal of Behavioral Health Services & Research 2003; 30(4):393–405.

17. Manderscheid RW. Don’t let the future repeat the past. Behavioral Healthcare 2006; 26(5):54–56. 18. Rawson RA, Marinelli-Casey P, Ling W. Dancing with strangers: Will the U.S. substance abuse practice and research organizations build

mutually productive relationships? Addictive Behaviors 2002; 27(6):941–949. 19. Hermann RC, Palmer H, Leff S, et al. Achieving consensus across diverse stakeholders on quality measures for mental healthcare.

Medical Care 2004; 42(12):1246–1250.

Assessing the Utility of Consumer Surveys KOCH et al. 247

20. Lennox RD, Mansfield AJ. A latent variable model of evidence-based quality improvement for substance abuse treatment. The Journal of Behavioral Health Services & Research 2001; 28(2):164–177.

21. Hermann RC, Provost MM. Interpreting measurement data for quality improvement: Standards, means, norms, and benchmarks. Psychiatric Services 2003; 54(5):655–657.

22. Beutler LE. Comparisons among quality assurance systems: From outcome assessment to clinical utility. Journal of Consulting and Clinical Psychology 2001; 69(2):197–204.

23. Proctor EK. Leverage points for the implementation of evidence-based practice. Brief Treatment in Crisis Intervention 2004; 4(3):227– 242.

24. Patel KK, Butler B, Wells KB. What is necessary to transform the quality of mental health care? Health Affairs 2006; 25(3):681–694. 25. Rosenheck RA. Organizational process: A missing link between research and practice. Psychiatric Services 2001; 52(12):1607–1612. 26. Simpson DD. A conceptual framework for transferring research to practice. Journal of Substance Abuse Treatment 2002; 22(4):171–182. 27. Davies E, Shaller D, Edgeman-Levitan PA, et al. Evaluating the use of a modified CAPS® survey to support improvements in patient-

centered care: Lessons from a quality improvement collaborative. Health Expectations 2008; 11:160–176. 28. Davies E, Cleary PD. Hearing the patient’s voice? Factors affecting the use of patient survey data in quality improvement. Qual Saf

Health Care 2005; 14:428–432. 29. Mental Health Statistics Improvement Program (MSHIP). The MHSIP Consumer Satisfaction Survey and the Youth Services Survey for

Families. 2000. Available at: http://www.mhsip.org/surveylink.htm. Accessed May 5, 2009. 30. Brunk M, Koch JR. Assessing the outcomes of children’s mental health services: Youth Services Survey for Families. Poster session

presentation at: The 14th annual research conference, A System of Care for Children's Mental Health: Expanding the Research Base, February, 2001; Tampa, FL.

31. Dillman DA. Mail and telephone surveys: the total design method, New York: Wiley, 1978. 32. Thissen, D. Quick and easy implementation of the Benjamini-Hochberg procedure for controlling the false positive rate in multiple

comparisons. Journal of Education and Behavioral Statistics. 2000; 27(1):77–83. 33. McLellan, A.T. Improving public addiction treatment through performance contracting: The Delaware experiment. Health Policy

2008;87:276–308. 34. Beaudin CL, Kramer TL. Evaluation and treatment of depression in managed care (part II): Quality improvement programs. Disease

Management & Health Outcomes 1997;13(5):307–316. 35. Eisen SV. Patient satisfaction and perceptions of care. In IsHak WW, Burt T, Sederer LI (eds), Outcome measurement in Psychiatry: A

critical review. Washington, DC: American Psychiatric, 2002, pp. 303–320 36. Hermann RC. Linking outcome measurement with process measurement for quality improvement. In IsHak WW, Burt T, Sederer LI

(eds), Outcome measurement in Psychiatry: A critical review. Washington, DC: American Psychiatric, 2002, pp. 23–34 37. Pelletier L, Beaudin C. (eds). Q solutions: Essential resources for the healthcare quality professional. National Association for Quality

Healthcare, 2006 38. Teeley KH, Lowe JM, Beal J, Knapp ML. Incorporating quality improvement concepts and practice into a community health nursing

course. Journal of Nursing Education, 2006; 45(2), 86–90. 39. McGilloway S, Donnelly M, Mangan B, et al. Qualitative assessment and improvement in mental health services: A qualitative study.

Journal of Mental Health 1999; 8(5), 489–499. 40. Rago WV, Reid WH. Total quality management strategies in mental health systems. Journal of Mental Health Administration 1991; 18

(34):253–264. 41. Roman PM, Johnson JA. Adoption and implementation of new technologies in substance abuse treatment. Journal of Substance Abuse

Treatment 2002; 22(4): 211–218. 42. Beaudin CL. The face of quality. Quality Progress 2006; 39(2):15.

248 The Journal of Behavioral Health Services & Research 38:2 April 2011

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