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Volume 30, Issue 1, Pages 21-29 (January 2006)


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An interactive voice response program to reduce drinking relapse: A feasibility study

James C. Mundt, Ph.D.aCorresponding Author Informationemail address, Heidi K. Moorea, Pamela Beanb

Received 23 November 2004; received in revised form 12 May 2005; accepted 23 August 2005.

Abstract 

Substance-abusing patients often relapse soon after undergoing treatment, thus requiring intensive aftercare or re-treatment. More efficient monitoring and follow-up of patients could contribute to better treatment outcomes. This study evaluated the feasibility of a computer-automated interactive voice response (IVR) system to reduce relapse following discharge from residential treatment. Sixty participants completing a residential treatment program and meeting DSM-IV criteria for alcohol dependence were randomized to three groups: (1) daily IVR reporting with personal follow-up on noncompliant callers; (2) daily IVR reporting without follow-up; or (3) no IVR reporting (control group). At 30, 90, and 180 days after discharge, participants were interviewed to obtain timeline follow-back drinking data and completed the Work and Social Adjustment Scale, Obsessive–Compulsive Drinking Scale, SF-36, and Drinker Inventory of Consequences. This pilot study suggests that using automated IVR technology to monitor clients after discharge is feasible and warrants further research and development. IVR systems also provide the potential for delivering individualized feedback.

Article Outline

Abstract

1. Introduction

2. Materials and methods

2.1. Participants

2.2. Procedures

2.3. Participant interface

2.4. Coordinator–counselor interface

3. Results

3.1. Group equivalence at baseline

3.2. Follow-up at 30 days

3.3. Follow-up at 90 days

3.4. Follow-up at 180 days

3.5. IVR system use by Groups 1 and 2

3.6. IVR system use related to relapse events

4. Discussion

Acknowledgment

References

Copyright

1. Introduction 

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Billions of dollars are spent annually to treat alcoholism and alcohol-related problems (O'Connor & Schottenfeld, 1998). Substantial resources are allocated to improving treatments, including matching patient characteristics to treatment methods and understanding the mechanisms of relapse (Lowman et al., 1996, Project MATCH Research Group., 1997). Despite such efforts, the prognosis for many alcoholic individuals following treatment is poor. Relapse risk is greatest immediately following treatment discharge (Marlatt & Gordon, 1985), suggesting that better follow-up during and immediately after treatment should facilitate earlier intervention that may assist in the development of effective coping skills in the event of relapse. Unfortunately, because of the increasing therapist caseloads and capitated insurance benefits that may be exhausted before optimal treatment practices are completed, intense follow-up is often not feasible. Consequently, patients may be caught in a recurrent cycle of treatment and re-treatment. Efficient and cost–effective programs to reduce relapse during and after treatment remain a critical need in the health care system.

The use of personal diaries to monitor drinking behavior and drinking-related urges to motivate and encourage reduction or elimination of alcohol consumption has been widely advocated (Marlatt & Gordon, 1985, National Institute on Alcoholism and Alcohol Abuse, 1998, Sobell & Sobell, 1978). Traditionally, patients maintain these diaries using paper-based logs, but researchers have used technology to obtain such records, including palmtop computers, voice mail, interactive voice response (IVR) systems, and cellular telephones (Collins et al., 2003, Hester et al., 2005, Hodgins et al., 1995, Mundt et al., 1997, Shiffman et al., 1994).

Searles, Perrine, Mundt, and Helzer (1995) developed an IVR system to record self-reported behaviors in a 112-day study of 51 non-treatment-seeking participants reporting drinking behavior and drinking-related experiences on a daily basis. The overall response rate over the 16 weeks of the study was 93%. In a separate study, Perrine, Mundt, Searles, and Lester (1995) validated data collection procedures by obtaining coincident measures of breath alcohol concentrations, independent collateral reports, and retrospective timeline follow-back (TLFB) measures. The data provided strong support for using IVR technology to reliably obtain contemporaneous daily reports of drinking-related activities. Subsequent research have also supported daily IVR data collection of drinking behavior (Searles et al., 2002, Searles et al., 2000). Since this initial validation, daily IVR drinking reporting systems have been incorporated into pharmacological research (e.g., Kranzler, Abu-Hasaballah, Tennen, Feinn, & Young, 2004). In addition, longitudinal studies have shown reliable follow-up extending to over 1 year (Searles et al., 2002) and over 2 years (Helzer, Badger, Rose, Mongeon, & Searles, 2002).

Similar to other treatment interventions that include self-monitoring (Marlatt & Gordon, 1985, Sobell & Sobell, 1993), research on IVR drinking reporting systems suggests that daily monitoring of drinking via IVR reduces alcohol consumption (Helzer et al., 2002). In a debriefing session after a study examining IVR to report drinking behavior, Mundt, Perrine, Searles, and Helzer (1995) observed that although none of the study participants sought treatment at the time, several indicated that study participation motivated them to re-evaluate their alcohol consumption. These results suggest that incorporation of a technologically based method for contemporaneously monitoring alcohol consumption, such as automated telephone calls, could provide an efficient and effective means to facilitate the examination of alcohol use and support follow-up after treatment.

Hall and Huber (2000) developed an IVR system to facilitate case management for alcoholic individuals receiving substance abuse treatment. Using voice mail and call forwarding features, the system was designed to enhance communication between patients and their case managers. The system also included a personalized topic to which patients recorded individual reflections, which case managers listened to, and that was changed weekly by case managers. A pilot test of the system found that participants using the system reported significantly more overall satisfaction with their treatment relative to participants receiving traditional face-to-face case management. In addition, the reduced implementation costs of the IVR system, relative to face-to-face case management, increased caseworker efficiency such that caseloads could be doubled (Hall, Vaughan, Vaughn, Block, & Schut, 1999).

Although these results support the concept of using IVR systems to facilitate treatment, the “treatment” portion of the system was limited and required weekly updating by case managers. Limited research exists on the ability of a computer-adaptive IVR system to automate and individualize follow-up care after substance abuse treatment. Computer-automated telephone outreach programs for needs assessment and individualized treatment have been developed in other areas of health care, including depression and obsessive–compulsive disorder (e.g., Greist et al., 1998, Osgood-Haynes et al., 1996, Siegel et al., 1992), but have yet to be applied to recovery from alcohol dependence.

This study examined the feasibility of an innovative IVR system that included automated self-monitoring of drinking-related behaviors, personalized computer-adaptive feedback, and follow-up after discharge from a residential alcohol treatment facility. Patients in the two experimental intervention groups were provided access to an IVR system for daily reporting of drinking and relapse-related behaviors. The IVR system provided individualized feedback based on previous reports, encouraged success, and offered support to prevent drinking slips from initiating more serious relapse events. The IVR system also incorporated proactive support mechanisms such as voice mail messaging and counselor-initiated follow-up calls when requested or, in one treatment condition, when self-initiated reports were missed. Process automation minimized counselor load for maintaining real-time awareness of client behaviors/status. The primary aim of this study was to explore the feasibility of incorporating daily IVR monitoring of drinking behaviors to improve treatment outcome.

2. Materials and methods 

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2.1. Participants 

Thirty-three men and twenty-seven women, 20–61 years old (M = 41.93, SD = 9.2 years), treated for alcohol dependence at the Herrington Recovery Center, a residential treatment facility of the Rogers Memorial Hospital (Oconomowoc, WI), were asked to participate in the study upon discharge. Three patients were African American and 57 were Caucasian. The mean duration of their residential care was 57.9 days (SD = 21.3 days). The obtained sample was representative of patients receiving care at the Herrington Recovery Center. Study procedures and materials were reviewed and approved by the Western Institutional Review Board (Olympia, WA). The informed consent document signed by each participant explained that the study coordinator would contact all study participants at 30, 90, and 180 days after discharge for a personal interview. They were also informed that they would be asked to provide blood samples for biochemical analysis and that a collateral informant whom they designated would be interviewed by telephone. In compliance with the Office for Human Research Protections regulations, study participants were also permitted to withdraw their consent without consequence or further follow-up at any time. Upon completing data collection at each interval, patients were paid $75 for the 30-day follow-up, $125 for the 90-day follow-up, and $200 for the 180-day follow-up. Informed consent also explained that some participants would be randomly assigned to call a computer-automated telephone system (IVR) on a daily basis for the duration of the study and that no financial or clinical consequence would result from reporting drinking relapses or failing to comply with the daily reporting procedures. No additional participant compensation was associated with providing the daily IVR reports.

2.2. Procedures 

Volunteers to participate in the study were randomly assigned to one of three treatment groups: (1) prompted use of the IVR system; (2) ad libitum use of the IVR system; or (3) no use of the IVR system (control group). The content and functionality of the IVR system are described further subsequently. The study coordinator/counselor was instructed to make a personal telephone call to Group 1 participants any time they failed to make a daily call to the IVR system for 2 consecutive days. The purpose of the phone call was to inquire about the reasons for noncompliance with the reporting procedure and to encourage system use. If Group 1 participants did not begin using the system thereafter, the coordinator/counselor continued calling them daily for at least 10 days. After 10 consecutive days of prompting noncompliant participants to use the system without success, the coordinator/counselor continued to call the patients at least twice each week until system use began or they withdrew consent for study participation. Study participants in Group 2 had access to the same daily IVR reporting system but were not contacted or prompted to use it if they did not make daily calls to the system. Group 3 participants were not given access to the reporting system.

At treatment discharge and 30, 90, and 180 days later, the study coordinator met face to face with each study participant to obtain TLFB reports of drinking events and quantities (at treatment discharge, the referent interval was 90 days prior to intake) using a calendar and other memory aides to enhance the retrospective recall of daily drinking estimates (Sobell & Sobell, 1992). The following paper/pencil self-report instruments were also completed by each participant at each assessment: (1) Work and Social Adjustment Scale (WSAS), a 5-item measure of functional impairment regarding work, home management, social leisure, private leisure, and personal relationships (Marks, 1986, Mundt et al., 2002); (2) Obsessive–Compulsive Drinking Scale (OCDS), a 14-item scale measuring preoccupation with drinking and impulsive drinking behavior (Anton et al., 1995, Anton et al., 1996, Bohn et al., 1996); (3) SF-36, a widely used 36-item medical outcome survey instrument that produces both mental component scores (MCSs) and physical component scores (PCSs; QualityMetric, 1998); and (4) Drinker Inventory of Consequences (DrInC), a 50-item questionnaire of lifetime and recent consequences of alcohol consumption developed for Project MATCH (NIAAA, 1995).

In addition to the participant interviews, when possible, the study coordinator obtained blood samples for biochemical analyses (Carbohydrate-Deficient Transferrin by BioRad Laboratories, Hercules, CA; Early Detection of Alcohol Consumption Test by Alcohol Detection Services, Brookfield, WI; and Whole Blood-Associated Acetaldehyde by LabOne, Lenexa, KS). The study coordinator also contacted a collateral informant (e.g., spouse, parent, close friend, or sibling) by telephone and conducted the Form 90-ACS collateral interview on drinking (NIAAA, 1996).

Study participants randomized to either of the IVR intervention groups were given instructions regarding system use and asked to begin calling the system on a daily basis. The IVR system was composed of multiple interactive modules (see Fig. 1) that incorporated individualized feedback based on current and previously provided responses. System access was provided through a toll-free telephone number; entry into the IVR modules was granted upon registration of a valid ID number and a personally selected four-digit pass code. The IVR system branched to either the study participant daily reporting modules or the study coordinator/counselor menu options based on the user ID.


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Fig. 1. The functional structure and call flow through IVR modules in the pilot relapse reduction program.


2.3. Participant interface 

The drinking status of study participants was assessed first by asking them whether they had or had not consumed alcohol since their prior call (the date of their last call was identified or the prior 24 hours was referenced for the first call). Callers indicating that they had consumed alcohol were prompted to indicate the number of beer, wine, and liquor drinks (definitions of a standard drink were provided) and to confirm the responses. Callers indicating that they had not consumed alcohol also confirmed their responses and provided ratings to four questions that were adapted from the Penn Alcohol Craving Scale (Flannery, Volpicelli, & Pettinati, 1999) concerning the ease or difficulty of abstaining from drinking and the severity of drinking urges. Participants who indicated the occurrence of a drinking episode after a prior IVR report of abstinence were warned of a potential abstinence violation effect (Marlatt & Gordon, 1985) that could contribute to a more severe relapse. A report of abstinence following a prior call reporting a drinking episode was acknowledged and praised. Individual ratings of coping difficulty were monitored from call to call, and individualized messages were provided based on the direction of change between calls and the overall magnitudes of their ratings.

Participants reporting a drinking episode to the IVR system were sent to the Drinking Reasons module. In this module, they indicated whether each of 16 potential situations drawn from the Reasons for Drinking Questionnaire (RDQ; Zywiak, Connors, Maisto, & Westerberg, 1996) contributed to the initiation of their reported drinking episode. Positive endorsements of specific items on the RDQ were categorized as being related to negative emotions, social pressure/positive emotions, or urges/cravings. A reported drinking episode associated with 2 or more RDQ items within a specific category prompted tailored feedback about the identified factors, and brief advice was provided for coping with such situations in the future.

Participants reporting abstinence since their prior call were branched to the Resolve Not to Drink module. This module assessed their perceived likelihood of drinking in each of 12 potential high-risk drinking situations drawn from the Drinking Refusal Self-Efficacy Questionnaire (Young & Knight, 1989). Each situation assessed was related to emotional relief, opportunity, or social pressure/positive emotions. Endorsement of 2 or more situations within any of the domains resulted in feedback specific to the identified situations, and advice was offered for dealing with such situations should they occur subsequently.

After completion of either the Drinking Reasons module or the Resolve Not to Drink module, depending on the reported drinking status, all callers were given an opportunity to hear cognitive–behavior advice adapted from the Project MATCH CBT Manual (NIAAA, 1999). They were not required to listen to this module if they did not wish to.

All callers completed a seven-question relapse risk questionnaire adapted from multiple instruments that assessed personal efforts to avoid drinking, perceptions of personal stress and depression, use of social support systems to avoid drinking, and social pressures and high-risk situations such as planning to attend a party or celebration where alcohol would be served. Participants indicating an elevated risk of relapse were given feedback about the heightened risk of relapse and encouraged to seek help if needed.

At the end of the call, study participants were informed of the existence of any voice mail message that had been left for them by the study coordinator/counselor. They were allowed to listen to the message immediately or to save it for retrieval at a later time. They were also given an opportunity to record a message for the study coordinator/counselor and could request a personal phone call from the coordinator/counselor.

2.4. Coordinator–counselor interface 

Each morning, the study coordinator/counselor received an automatic facsimile report listing the following: (1) IDs of all study participants who had not called the IVR reporting system for 2 or more consecutive days; (2) IDs of all those who had left voice mail messages; and (3) IDs of those who had requested a personal phone call. The IVR system recognized the study coordinator based on her ID number. Upon entry to the coordinator/counselor module, she could select actions from the following options: (1) request a new daily summary report facsimile of the IDs of noncompliant participants, IDs of participants with messages, and IDs of participants requesting a call back; (2) send and retrieve voice mail messages with specific study participant ID numbers; and (3) request a facsimile report summarizing data from all the calls received from a specific participant during the prior 30 days. This report indicated the date of each call received, the reported drinking status, and a summary of the data entered (e.g., drinks consumed and contributing reasons, ratings of coping difficulty and situational confidence, and overall relapse risk).

3. Results 

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The analyses reported subsequently were performed using SPSS (V13.0, SPSS, Chicago, IL). The primary interest in this study was to examine the conceptual and procedural feasibility of using computer-automated telephone calls to contemporaneously monitor self-reported drinking patterns in support of recovery. It was recognized from the outset that the relatively small sample sizes would provide inadequate statistical power to support clinical efficacy of any treatment effect that was not extremely large and that even modest study dropout rates would diminish the limited statistical power even further. Presentation of data and comparisons between groups as shown subsequently are not statistically significant unless explicitly identified as such.

3.1. Group equivalence at baseline 

No significant difference was evident between the randomized groups regarding sex, age, and length of stay in residential treatment. Alcohol consumption patterns from TLFB data referencing the 90 days prior to entering treatment were equivalent across the three groups, with overall means of 57.9 drinking days (SD = 24.2 days), 52.3 heavy drinking days (SD = 24.4 days; criterion of four drinks per day for women and five drinks per day for men), and 660 total drinks consumed (SD = 596). The groups were also similar with respect to the following measures: OCDS obsession (M = 7.7, SD = 4.2) and compulsion (M = 11.5, SD = 4.7) scores; SF-36 MCS (M = 37.3, SD = 12.5) and PCS (M = 52.3, SD = 9.2); total lifetime (M = 32.7, SD = 7.6) and recent (M = 60.8, SD = 25.3) consequences of drinking as measured by the DrInC; and functional impairment (M = 19.4, SD = 9.9) as measured by the WSAS. WSAS scores higher than 20 are indicative of moderately severe or worse psychopathology. Scores between 10 and 20 reflect significant functional impairment associated with mild-to-moderate clinical symptoms, whereas those lower than 10 are typically associated with subclinical populations (Mundt, Marks, et al., 2002).

3.2. Follow-up at 30 days 

During the first month after discharge, 4 subjects in Group 1 (prompted system use), 2 subjects in Group 2 (ad libitum system use), and 1 subject in Group 3 (control) withdrew their consent for study participation and dropped out of the study before the first follow-up interview. These dropout data (and those at the 90-day follow-up as discussed subsequently) suggest that the intensity/intrusiveness of daily reporting was aversive to a considerable number of the study participants. An average of 20.2 (SD = 7.4, range = 2–30) daily calls were received from the 34 participants in Groups 1 and 2 remaining in the study through the first follow-up interview.

At the 30-day follow-up interview, self-reported abstinence (TLFB data) was reported by 13 of the 16 Group 1 participants, 12 of the 18 Group 2 participants, and 13 of the 19 Group 3 participants. Of all the participants, 2 of the Group 1 participants, 5 of the Group 2 participants, and 7 of the Group 3 participants who self-reported abstinence had one or more positive biomarkers for drinking and/or collateral reports suggesting that they may have been drinking. Of the 15 participants self-reporting a relapse (n = 3, 6, and 6 for each group, respectively), the control subjects reported more drinking days and more heavy drinking days but fewer total drinks consumed than the patients from the other two groups. Mean outcome scores from the OCDS subscales, the SF-36 MCS, DrInC, and WSAS suggested that Group 1 participants reported somewhat less impairment than the participants from the two groups; however, these differences were not statistically significant and should not be overinterpreted.

3.3. Follow-up at 90 days 

Between the 1-month and 3-month follow-up periods, 2 additional subjects in Group 1 and 1 subject in Group 2 withdrew their study consent and were not interviewed at the second follow-up. An average of 36.7 (SD = 18.1, range = 0–60) daily calls were received from the 31 participants in Groups 1 and 2 remaining in the study through the second follow-up interview.

At the 90-day follow-up interview, self-reported abstinence (TLFB data) was reported by 8 of the 14 Group 1 participants, 13 of the 17 Group 2 participants, and 13 of the 19 Group 3 participants. Of all the participants, 2 of the Group 1 participants, 8 of the Group 2 participants, and 8 of the Group 3 participants self-reporting abstinence had one or more positive biomarkers for drinking and/or collateral reports suggesting that they may have been drinking. Of the 16 participants self-reporting a relapse between the first and second follow-ups (n = 6, 4, and 6 for each group for each group, respectively), the control subjects reported more drinking days, more heavy drinking days, and more total drinks consumed than the patients from the other two groups. Mean outcome scores from the OCDS subscales and DrInC indicated that Group 2 participants reported less impairment than the participants from the other two groups, with Group 3 participants indicating less impairment on the WSAS. Again, such differences are not statistically significant and must be interpreted cautiously.

3.4. Follow-up at 180 days 

Between the 3-month and 6-month follow-up periods, one subject in Group 2 and one subject in Group 3 withdrew their study consent and were not interviewed at the end of the study. An average of 51.4 (SD = 22.6, range = 10–89) daily calls were received from Groups 1 and 2 participants who completed the study.

At the final follow-up interview, self-reported abstinence (TLFB data) was reported by 7 of the 14 Group 1 participants, 14 of the 16 Group 2 participants, and 13 of the 18 Group 3 participants. Of all the participants, 4 Group 1 participants, 6 Group 2 participants, and 10 Group 3 participants self-reporting abstinence between the second and third follow-up intervals had one or more positive biomarkers for drinking and/or collateral reports suggesting that they may have been drinking. Of the 14 participants self-reporting a relapse between the 90- and 180-day follow-ups (n = 7, 2, and 5 for each group, respectively), the control subjects reported more drinking days, more heavy drinking days, and more total drinks consumed than the patients from the other two groups. Mean outcome scores from the OCDS subscales, the SF-36 MCS, DrInC, and WSAS suggest that Group 2 participants reported less impairments than the participants from the other two groups, but these differences are not statistically significant.

3.5. IVR system use by Groups 1 and 2 

The mean duration of the initial call (presenting full system instructions and definitions) was 9 minutes 21 seconds. Call duration decreased rapidly during the first 2 weeks of use as participants became familiar with the system and made use of keyword identifiers to provide their responses quickly (Mundt et al., 1997). The mean duration of the 379 calls received from Day 15 to Day 30 was 5 minutes and 2 seconds. During the 60-day follow-up period from Day 31 to Day 90, the mean call length was 4 minutes 40 seconds (n = 1,183 calls); during the final follow-up period, the 1,508 calls received took an average of 4 minutes 35 seconds to complete. There was no significant difference in the number of daily calls received from each group for any of the follow-up intervals. In fact, in all three follow-up intervals, the mean number of calls received from Group 2 participants was greater than that from Group 1 participants—with fewer participants withdrawing consent. These data are not statistically significant but suggest that the additional personal attention afforded to noncompliant Group 1 participants was not effective in increasing reporting behavior and may have been detrimental to study participation.

Forty participants were initially randomized to use the IVR reporting system. A total of 10 participants subsequently withdrew their consent and dropped out of the study, 6 from Group 1 and 4 from Group 2. Twenty participants opted to hear the CBT advice at least once after completing the drinking assessments. Additional features incorporated into the IVR system were voice mail messaging and requesting a follow-up call from the study coordinator. Of the participants, 30 chose to leave a message for the study coordinator at least once (M = 7.1, range 1–48 times) and 12 requested personal follow-up calls (M = 1.1, range = 1–21 times).

Of the 6,090 potential daily calls that could have been received from consenting participants within each follow-up interval, 3,464 were received (56.9%). Of the 30 participants randomized to Group 1 or 2 who completed the study, calling compliance ranged from 8.3% to 99.4%. In terms of compliance, 3 participants were less than 25% compliant, 7 had compliance rates between 25% and 50%, 13 called the system on 50–75% of the days, and 7 provided daily calls on more than 80% of the possible days.

3.6. IVR system use related to relapse events 

From the 30 Groups 1 and 2 participants who completed the study, 3,290 contemporaneous IVR daily reports were received. Of these 30 participants, 17 reported no relapse event at any of the follow-up intervals using the TLFB. Although some of these abstinence self-reports may be suspect, based on the collateral report and biochemical data, there is minimal reason to question the self-reports from participants acknowledging relapse events.

Contemporaneous use of the IVR system by the 13 participants who retrospectively reported relapse events via TLFB was examined. These participants reported a total of 276 drinking days via TLFB, whereas only 103 drinking days were reported via IVR. These data appear contrary to those from prior studies that found higher estimates of drinking using contemporaneous reporting methods relative to TLFB (e.g., Searles et al., 2002, Searles et al., 1995). In this study, we found that contemporaneous IVR calls were not made on 53.6% of the TLFB days when a drinking event was reported but missed for only 42.4% of TLFB abstinent days, suggesting that IVR calls on drinking days were more likely to be skipped than were calls on non-drinking days. Upon further examination, we found that 66.0% of the 103 contemporaneously reported IVR drinking days were preceded by 1 or more noncompliant reporting days. In addition, the mean number of drinks reported via IVR following a noncompliant reporting day (M = 10.4, SD = 13.9) is significantly greater than the number of drinks reported (M = 4.3, SD = 3.4) if an IVR call was received the prior day, t(101) = 2.53, p = .013. The number of previously missed reporting days is significantly correlated with the self-reported severity of the relapse (ρ = .485, p < .001).

4. Discussion 

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This pilot study demonstrates that use of IVR technology to automate daily monitoring of drinking behaviors, tailor individualized real-time feedback based on current and prior reports, and facilitate communication with clinical case managers is feasible. Such routine daily reporting may provide clients a simple means for maintaining an active and ongoing awareness of critical recovery issues and clinicians a convenient means to maintain a more immediate awareness of clients' self-reported behaviors. Although the higher study dropout rates of the participants using the IVR system suggest that the daily reporting procedures are aversive to some subjects, particularly those in Group 1 who had the most intensive and immediate follow-up, the data also indicate that the demand of completing a 5-minute computer-automated telephone call was not an excessive burden for most of the study participants. The present data support procedural feasibility but do not quantitatively demonstrate significant therapeutic benefits of the IVR intervention. Study participants who stayed in the study and used the IVR monitoring system appear to have directionally benefited from access to the IVR support resource, but these results must be interpreted very cautiously.

Generally, the IVR system was received well by the participants who used it, reflecting an obvious self-selection bias. It is noteworthy, however, that 19 of the 30 study completers in Groups 1 and 2 and 10 of the 18 Group 3 completers voluntarily continued to use the system after the final study follow-up interview. Only 10 study participants provided written feedback about their experiences using the IVR system: 8 provided positive comments whereas 2 found the system boring and personally intrusive. Suggestions for system improvement included changing the system voice and periodically varying the set of questions asked to reduce the repetitiveness of the calls.

The nonsignificant statistical results likely reflect underpowered comparisons between small samples, unique characteristics of the clinical sample and intensity of the residential treatment prior to study participation, a mixed effect of follow-up intensity between the IVR groups, and/or a methodologically confounded Hawthorne effect of the intervention itself on the subsequent TLFB data obtained. All patients discharged from the Herrington Recovery Center's treatment program are referred to 12-step support groups, most are referred to the Professional Recovery Network for Aftercare/Continuing Care Services, and some continue to participate in aftercare day treatment. This pilot program was not incorporated into other such aftercare programs, as would be expected in normal clinical practice; the system was implemented as a straightforward stand-alone test of feasibility. Aftercare referral recommendations and subsequent participation in such services were not monitored and may also have influenced the results obtained.

The observed relationship between the contemporaneous IVR and the retrospective TLFB reports of daily drinking found in this study is also notable. Previous research using contemporaneous daily reporting of drinking have shown good correspondence with retrospective TLFB data over relatively short intervals (e.g., Carney et al., 1996, Perrine et al., 1995) but that TLFB data underestimate consumption over longer intervals (Searles et al., 2002, Searles et al., 2000, Searles et al., 1995). The data from this study would appear to be in conflict with these findings but may reflect several important methodological differences. First, this study enrolled a clinical sample of clients discharged from an intensive residential treatment facility rather than community samples of drinkers who were not seeking or engaged in treatment programs. Second, the IVR system used in this study was designed to influence participants' drinking behavior rather than evaluate a procedural method for obtaining more accurate measures of alcohol consumption. Third, although the study participants were told that reporting relapse drinking (as well as not reporting) would not result in subsequent clinical or professional consequences, study participants may have been skeptical. Fourth, reporting compliance in this study did not influence subject compensation for study participation. The data indicating that retrospectively reported drinking days were more likely to be missing a contemporaneous daily report than retrospectively reported non-drinking days and that contemporaneously reported drinking days preceded by missing daily reports reflected heavier consumption than drinking days not preceded by a missed reporting day suggest that selective nonuse of the IVR system and relapse events were related in this treatment sample. Whether such a relationship might be used effectively to enhance treatment outcomes remains an open question.

Although this study supports the feasibility of using IVR to enhance follow-up aftercare for alcohol dependence, more research is needed to determine its clinical utility. Studies with larger and more diverse samples are needed. The higher dropout rates of the IVR groups suggest that many clients find the reporting procedures intrusive. It may be that clients unwilling to complete a simple automated 5-minute telephone call on a regular basis are also unwilling to sustain the daily personal efforts needed to maintain sobriety. If such speculation is even partially correct, then client compliance with the reporting procedures might provide a proxy measure for personal engagement in the therapeutic process. Future research should investigate the utility of a “stepped care” approach to daily monitoring, with more intensive and immediate follow-up during early recovery that phases out over time as clients demonstrate success at achieving therapeutic goals. In addition, although no action was taken when participants reported a relapse in this study, if such a system were integrated into a standard aftercare or outpatient program, more immediate and personalized reinforcement of the messages provided by the system by a therapist or case manager might enhance the salience and effectiveness of the information. Such reinforcement could be provided during regularly scheduled sessions or asynchronously using voice mail messaging.

This study has several limitations. The small sample sizes in this feasibility study contributed to nonsignificant statistical comparisons between treatment groups. Establishing technical and procedural feasibility, however, provides a basis for testing such methods with larger and more representative clinical samples. The sample used in this study primarily involved upper- to middle-class Euro-Americans with access to resources to support long-term private residential treatment of 2 months or longer. This type of contemporaneous daily monitoring and personalized feedback system should be explored in less economically advantaged and more culturally diverse patient populations. Although participants were not compensated for their calls to the IVR system, they were compensated for each follow-up visit to reduce study attrition. Such compensation may have indirectly influenced the participants' sense of obligation to call the IVR system.

This study demonstrates that an IVR system designed to facilitate continued care after discharge from treatment for alcohol dependence is feasible. It was generally accepted well by most of the study participants. It is doubtful that any single method for facilitating aftercare will be received positively, but the level of acceptance of this system is encouraging. The cost–efficiency and accessibility of telephones and widespread familiarity with IVR systems suggest that significant savings may be possible relative to traditional models of ongoing case management (Hall & Huber, 2000)—particularly in rural and underserved communities. The use of contemporaneous IVR monitoring in treatment-seeking populations may provide the potential benefit of earlier identification of relapse events. Earlier identification and intervention might minimize relapse severity and lower subsequent treatment costs. Willingness to use a contemporaneous daily reporting system may also provide a proxy measure of patients' personal engagement in the struggle to maintain sobriety. Recent health care trends, particularly in the area of substance abuse, have tended to stretch fixed annual treatment resource allocations by decreasing treatment intensity (i.e., increased emphasis on outpatient treatment) and increasing treatment duration by separating outpatient visits across more time. An IVR clinical computing system interacting with patients on a daily basis between clinical visits, providing individually tailored messages based on reports, and facilitating communication between patients and counselors has the potential to increase the frequency/intensity of such interactions without substantially increasing treatment delivery costs.

Acknowledgments 

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This study was supported by Grant No. 1R43AA12366 from the NIAAA.

We thank Tracy DeBruin for assisting in coordinating and counseling study participants and Dayna Geralts for assisting with the preparation of this manuscript.

References 

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a Healthcare Technology Systems, Inc. Madison, WI, USA

b Rogers Memorial Hospital, Oconomowoc, WI, USA

Corresponding Author InformationCorresponding author. Healthcare Technology Systems, Inc., 7617 Mineral Point Road, Madison, WI 53717, USA. Tel.: +1 608 827 2467; fax: +1 608 827 2444

PII: S0740-5472(05)00177-7

doi:10.1016/j.jsat.2005.08.010


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