Abstract
The quality and frequency of positive interactions between staff and consumers are related to reductions in consumer problem behavior and increases in other desired outcomes, such as leisure and self-help skills. Unfortunately, the frequency with which group home staff positively interact with consumers is often low and regularly requires intervention. We evaluated the effects of technology-based self-monitoring on positive interactions between staff and consumers during consumer leisure time. Participant data were collected off-site through video recordings from cameras already present in the group homes. During baseline, participant interactions were low. Upon introduction of an intervention containing self-monitoring completed via a tablet device, staff interactions increased and maintained when the intervention was in effect. Supplemental feedback via text message was provided to two of the three participants to reach criterion. These findings demonstrate the utility of technology-based self-monitoring for some individuals to increase positive staff–consumer interactions in group homes.
Similar content being viewed by others
Notes
At the beginning of the day, participants were contacted via text message to confirm they would be in the home and available to self-monitor.
We did not record frequency per interval; we used partial-interval recording.
Although the primary dependent measure involved 5-min intervals, data collectors scored behavior in 1-min intervals. Thus, the agreement percentages were calculated using 1-min intervals.
References
Aherne, C. M., & Beaulieu, L. (2018). Assessing long-term maintenance of staff performance following behavior skills training in a home-based setting. Behavioral Interventions, 35(1), 79–88. https://doi.org/10.1002/bin.1642
Aljadeff-Abergel, E., Peterson, S. M., Wiskirchen, R. R., Hagen, K. K., & Cole, M. L. (2017). Evaluating the temporal location of feedback: Providing feedback following performance vs. prior to performance. Journal of Organizational Behavior Management, 37(2), 171–195. https://doi.org/10.1080/01608061.2017.1309332
Baldwin, S., & Hattersley, J. (1984). Use of self-recording to maintain staff-resident interaction. Journal of Mental Deficiency Research, 28(1), 57–66. https://doi.org/10.1111/j.1365-2788.1984.tb01602.x
Barton, E. E., & Wolery, M. (2007). Evaluation of e-mail feedback on the verbal behaviors of pre-service teachers. Journal of Early Intervention, 30(1), 55–72. https://doi.org/10.1177/105381510703000105
Bechtel, N. T., McGee, H. M., Huitema, B. E., & Dickinson, A. M. (2015). The effects of the temporal placement of feedback on performance. The Psychological Record, 65(3), 425–434. https://doi.org/10.1007/s40732-015-0117-4
Belfiore, P. J., Fritts, K. M., & Herman, B. C. (2008). The role of procedural integrity: Using self-monitoring to enhance discrete trial instruction (DTI). Focus on Autism & Other Developmental Disabilities, 23(2), 95–102. https://doi.org/10.1177/1088357607311445
Brown, J. A., & Woods, J. J. (2011). Performance feedback to support instruction with speech-language pathology students on a family-centered interview process. Infants & Young Children, 24(1), 42–55. https://doi.org/10.1097/iyc.0b013e3182001bf4
Burg, M. M., Reid, D. H., & Lattimore, J. (1979). Use of a self-recording and supervision program to change institutional staff behavior. Journal of Applied Behavior Analysis, 12(3), 363–375. https://doi.org/10.1901/jaba.1979.12-363
Burgio, L. D., Whitman, T. L., & Reid, D. H. (1983). A participative management approach for improving direct-care staff performance in an institutional setting. Journal of Applied Behavior Analysis, 16(1), 39–53. https://doi.org/10.1901/jaba.1983.16-37
Calpin, J. P., Edelstein, B., & Redmon, W. K. (1988). Performance feedback and goal setting to improve mental health center staff productivity. Journal of Organizational Behavior Management, 9(2), 35–58. https://doi.org/10.1300/J075v09n02_04
Carr, J. E., Wilder, D. A., Majdalany, L., Mathisen, D., & Strain, L. A. (2013). An assessment-based solution to a human-service employee performance problem: An initial evaluation of the performance diagnostic checklist—Human services. Behavior Analysis in Practice, 6(1), 16–32. https://doi.org/10.1007/BF03391789
Chan, J. S., & Yau, M. K. (2002). A study on the nature of interactions between direct-care staff and persons with developmental disabilities in institutional care. British Journal of Developmental Disabilities, 48(94), 39–51. https://doi.org/10.1179/096979502799104274
DiGennaro Reed, F. D., & Reed, D. D. (2013). HomeLink support technologies at Community Living Opportunities. Behavior Analysis in Practice, 6(1), 80–81. https://doi.org/10.1007/BF03391794
Doerner, M., Miltenberger, R. G., & Bakken, J. (1989). The effects of staff self-management on positive social interactions in a group home setting. Behavioral Interventions, 4(4), 313–330. https://doi.org/10.1002/bin.2360040404
Erath, T. G., DiGennaro Reed, F. D., Sundermeyer, H. W., Brand, D., Novak, M. D., Harbison, M. J., & Shears, R. (2020). Enhancing the training integrity of human service staff using pyramidal behavioral skills training. Journal of Applied Behavior Analysis, 53(1), 449–464. https://doi.org/10.1002/jaba.608
Felce, D., & Emerson, E. (2001). Living with support in a home in the community: Predictors for behavioral development and household and community activity. Mental Retardation & Developmental Disabilities, 7(2), 75–83. https://doi.org/10.1002/mrdd.1011
Goomas, D. T., & Ludwig, T. D. (2007). Enhancing incentive programs with proximal goals and immediate feedback: Engineered labor standards and technology enhancements in stocker replenishment. Journal of Organizational Behavior Management, 27(1), 33–68. https://doi.org/10.1300/J075v27n01_02
Gravina, N. E., Loewy, S., Rice, A., & Austin, J. (2013). Evaluating behavioral self-monitoring with accuracy training for changing computer work postures. Journal of Organizational Behavior Management, 33(1), 68–76. https://doi.org/10.1080/01608061.2012.729397
Heckman, J. S., & Geller, E. S. (2003). A safety self-management intervention for mining operations. Journal of Safety Research, 34(5), 299–308. https://doi.org/10.1016/s0022-4375(03)00032-x
Henley, A. J., & DiGennaro Reed, F. D. (2015). Should you order the feedback sandwich? Efficacy of feedback sequence and timing. Journal of Organizational Behavior Management, 35(3–4), 321–335. https://doi.org/10.1080/01608061.2015.1093057
Hemmeter, M. L., Snyder, P., Kinder, K., & Artman, K. (2011). Impact of performance feedback delivered via electronic mail on preschool teachers’ use of descriptive praise. Early Childhood Research Quarterly, 26(1), 96–109. https://doi.org/10.1016/j.ecresq.2010.05.004
Hillman, C. B., Lerman, D. C., & Kosel, M. L. (2021). Discrete-trial training performance of behavior interventionists with autism spectrum disorder: A systematic replication and extension. Journal of Applied Behavior Analysis, 54(1), 374–388. https://doi.org/10.1002/jaba.755
Howard, V. J., & DiGennaro Reed, F. D. (2014). Training shelter volunteers to teach dog compliance. Journal of Applied Behavior Analysis, 47(2), 344–359. https://doi.org/10.1002/jaba.120
Kamana, B. U. (2019). Increasing staff healthy behavioral practices in programs for adults with intellectual and developmental disabilities (Publication No. 22589620). [Doctoral dissertation, University of Kansas]. ProQuest Dissertations and Theses Global.
Kamana, B. U., Dozier, C. L., Kanaman, N. A., DiGennaro Reed, F. D., Glaze, S. M., Markowitz, A. M., Hangen, M. M., Harrison, K. L., Bernstein, A. M., Jess, R. L., & Erath, T. G. (2021). Increasing staff healthy behavioral practices in programs for adults with intellectual and developmental disabilities [Manuscript submitted for publication]. Department of Applied Behavioral Science, University of Kansas.
Larson, S. A., Eschenbacher, H. J., Taylor, B., Pettingell, S., Sowers, M., & Bourne, M. L. (2020). In-home and residential long-term supports and services for persons with intellectual or developmental disabilities: Status and trends through 2017. Minneapolis: University of Minnesota, Research and Training Center on Community Living, Institute on Community Integration. https://ici-s.umn.edu/files/aCHyYaFjMi/risp_2017
LeBlanc, L. A., Lerman, D. C., & Normand, M. P. (2020). Behavior analytic contributions to public health and telehealth. Journal of Applied Behavior Analysis, 53(3), 1208–1218. https://doi.org/10.1002/jaba.749
Luke, M. M., & Alavosius, M. (2011). Adherence with universal precautions after immediate personalized performance feedback. Journal of Applied Behavior Analysis, 44(4), 967–971. https://doi.org/10.1901/jaba.2011.44-967
Manente, C. J., Maraventano, J. C., LaRue, R. H., Delmolino, L., & Sloan, D. (2010). Effective behavioral intervention for adults on the autism spectrum: Best practices in functional assessment and treatment development. The Behavior Analyst Today, 11(1), 36–48. https://doi.org/10.1037/h0100687
Martens, B. K., Witt, J. C., Elliott, S. N., & Darveaux, D. X. (1985). Teacher judgments concerning the acceptability of school-based interventions. Professional Psychology: Research & Practice, 16(2), 191–198. https://doi.org/10.1037/0735-7028.16.2.191
Marturana, E. R., & Woods, J. J. (2012). Technology-supported performance-based feedback for early intervention home visiting. Topics in Early Childhood Special Education, 32(1), 14–23. https://doi.org/10.1177/0271121411434935
Medicaid. (n.d.). Intermediate care facilities for individuals with intellectual disability. Centers for Medicare and Medicaid Services. https://www.medicaid.gov/medicaid/long-term-services-supports/institutional-long-term-care/intermediate-care-facilities-individuals-intellectual-disability/index.html
Montegar, C. A., Reid, D. H., Madsen, C. H., & Ewell, M. D. (1977). Increasing institutional staff to resident interactions through in-service training and supervisor approval. Behavior Therapy, 8(4), 533–540. https://doi.org/10.1016/S0005-7894(77)80182-2
Mouzakitis, A., Codding, R. S., & Tryon, G. (2015). The effects of self-monitoring and performance feedback on the treatment integrity of behavior intervention plan implementation and generalization. Journal of Positive Behavior Interventions, 17(4), 223–234. https://doi.org/10.1177/1098300715573629
Mowery, J. M., Miltenberger, R. G., & Weil, T. M. (2010). Evaluating the effects of reactivity to supervisor presence on staff response to tactile prompts and self-monitoring in a group home setting. Behavioral Interventions, 25(1), 21–35. https://doi.org/10.1002/bin.296
Normand, M. P. (2008). Increasing physical activity through self-monitoring, goal setting, and feedback. Behavioral Interventions, 23(4), 227–236. https://doi.org/10.1002/bin.267
Olson, R., & Winchester, J. (2008). Behavioral self-monitoring of safety and productivity in the workplace: A methodological primer and quantitative literature review. Journal of Organizational Behavior Management, 28(1), 9–75. https://doi.org/10.1080/01608060802006823
Parsons, M. B., Cash, V. B., & Reid, D. H. (1989). Improving residential treatment services: Implementation and norm-referenced evaluation of a comprehensive management system. Journal of Applied Behavior Analysis, 22(2), 143–156. https://doi.org/10.1901/jaba.1989.22-143
Parsons, M. B., Bentley, E., Solari, T., & Reid, D. H. (2016). Familiarizing new staff for working with adults with severe disabilities: A case for relationship building. Behavior Analysis in Practice, 9(3), 211–222. https://doi.org/10.1007/s40617-016-0129-9
Parsons, M. B., Rollyson, J. H., & Reid, D. H. (2012). Evidence-based staff training: A guide for practitioners. Behavior Analysis in Practice, 5(2), 2–11. https://doi.org/10.1007/BF03391819
Peić, D., & Hernández, V. (2021). Countee—Data collection for BA (Version 2.2.1) [Mobile app]. https://apps.apple.com/us/app/countee/id982547332
Pelletier, K., McNamara, B., Braga-Kenyon, P., & Ahearn, W. H. (2010). Effect of video self-monitoring on procedural integrity. Behavioral Interventions, 25(4), 261–274. https://doi.org/10.1002/bin.316
Petscher, E. S., & Bailey, J. S. (2006). Effects of training, prompting, and self-monitoring on staff behavior in a classroom for students with disabilities. Journal of Applied Behavior Analysis, 39(2), 215–226. https://doi.org/10.1901/jaba.2006.02-05
Plavnick, J. B., Ferreri, S. J., & Maupin, A. N. (2010). The effects of self-monitoring on the procedural integrity of a behavioral intervention for young children with developmental disabilities. Journal of Applied Behavior Analysis, 43(2), 315–320. https://doi.org/10.1901/jaba.2010.43-315
President’s Committee for People with Intellectual Disabilities. (2017). America’s direct support workforce crisis: Effects on people with intellectual disabilities, families, communities and the U.S. economy.https://www.acl.gov/sites/default/files/programs/2018-02/2017%20PCPID%20Full%20Report_0.PDF
Reed, D. D., Fienup, D. M., Luiselli, J. K., & Pace, G. M. (2010). Performance improvement in behavioral health care: Collateral effects of planned treatment integrity observations as an applied example of schedule-induced responding. Behavior Modification, 34(5), 367–385. https://doi.org/10.1177/0145445510383524
Richman, G. S., Riordan, M. R., Reiss, M. L., Pyles, D. A., & Bailey, J. S. (1988). The effects of self-monitoring and supervisor feedback on staff performance in a residential setting. Journal of Applied Behavior Analysis, 21(4), 401–409. https://doi.org/10.1901/jaba.1988.21-401
Rinaldi-Miles, A., Das, B. M., & Kakar, R. S. (2019). Evaluating the effectiveness of implementation intentions in a pedometer worksite intervention. Work: Journal of Prevention, Assessment & Rehabilitation, 64(4), 777–785. https://doi.org/10.3233/WOR-193039
Rodriguez, M., Wilder, D. A., Therrien, K., Wine, B., Miranti, R., Daratany, K., Salume, G., Baranovsky, G., & Rodrigues, M. (2006). Use of the Performance Diagnostic Checklist to select an intervention designed to increase the offering of promotional stamps at two sites of a restaurant franchise. Journal of Organizational Behavior Management, (25)3, 17–35. https://doi.org/10.1300/J075v25n03_02
Rose, H. S., & Ludwig, T. D. (2009). Swimming pool hygiene: Self-monitoring, task clarification, and performance feedback increase lifeguard cleaning behaviors. Journal of Organizational Behavior Management, 29(1), 69–79. https://doi.org/10.1080/01608060802660157
Sasson, J. R., & Austin, J. (2004). The effects of training, feedback, and participant involvement in behavioral safety. Journal of Organizational Behavior Management, 24(4), 1–30. https://doi.org/10.1300/J075v24n04_01
Sigurdsson, S. O., Ring, B. M., Needham, M., Boscoe, J. H., & Silverman, K. (2011). Generalization of posture training to computer workstations in an applied setting. Journal of Applied Behavior Analysis, 44(1), 157–161. https://doi.org/10.1901/jaba.2011.44-157
Sleeper, J. D., LeBlanc, L. A., Mueller, J., Valentino, A. L., Fazzio, D., & Raetz, P. B. (2017). The effects of electronic data collection on the percentage of current clinician graphs and organizational return on investment. Journal of Organizational Behavior Management, 37(1), 83–95. https://doi.org/10.1080/01608061.2016.1267065
Sleiman, A. A., Sigurjonsdottir, S., Elnes, A., Gage, N. A., & Gravina, N. E. (2020). A quantitative review of performance feedback in organizational settings (1998–2018). Journal of Organizational Behavior Management, 40(3–4), 303–332. https://doi.org/10.1080/01608061.2020.1823300
United Cerebral Palsy & ANCOR Foundation. (2020). The case for inclusion 2020 key findings report. https://caseforinclusion.org/application/files/5015/8179/5128/Case_for_Inclusion_2020_Key_Findings_021420web.pdf
Warrilow, G. D., Johnson, D. A., & Eagle, L. M. (2020). The effects of feedback modality on performance. Journal of Organizational Behavior Management, 40(3–4), 233–248. https://doi.org/10.1080/01608061.2020.1784351
Zhu, J., Hua, Y., & Yuan, C. (2020). Effects of remote performance feedback on procedural integrity of early intensive behavioral intervention programs in China. Journal of Behavioral Education, 29(2), 339–353. https://doi.org/10.1007/s10864-020-09380-8
Zoder-Martell, K. A., Dufrene, B. A., Tingstrom, D. H., Olmi, D. J., Jordan, S. S., Biskie, E. M., & Sherman, J. C. (2014). Training direct care staff to increase positive interactions with individuals with developmental disabilities. Research & Developmental Disabilities, 35(9), 2180–2189. https://doi.org/10.1016/j.ridd.2014.05.016
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of Interest
The first author does not have a conflict of interest. The second author serves on the Board of Directors for the organization where the research was conducted. The second author did not interact directly with participants.
Ethical Approval
The study was approved both by the University IRB and the organization’s Human Rights Committee where the research was conducted.
Informed Consent
All participants provided written informed consent. Moreover, participants could assent or not assent to a research session being conducted on any given day.
Additional information
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
This study was conducted by the first author in partial fulfillment of the requirements for the M.A. in behavior analysis at the University of Kansas. The authors thank Maranda J. Scheller, Andrew Widener, and Allie Heiner for their contributions to this project.
Rights and permissions
About this article
Cite this article
Ruby, S.A., DiGennaro Reed, F.D. Evaluating the Effects of Technology-Based Self-Monitoring on Positive Staff–Consumer Interactions in Group Homes. Behav Analysis Practice 15, 804–814 (2022). https://doi.org/10.1007/s40617-021-00651-y
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s40617-021-00651-y