A Clinical Care Monitoring and Data Collection Tool (H3 Tracker) to Assess Uptake and Engagement in Mental Health Care Services in a Community-Based Pediatric Integrated Care Model: Longitudinal Cohort Study

Michael McCreary, Armen C Arevian, Madeline Brady, Ana E Mosqueda Chichits, Lily Zhang, Lingqi Tang, Bonnie Zima, Michael McCreary, Armen C Arevian, Madeline Brady, Ana E Mosqueda Chichits, Lily Zhang, Lingqi Tang, Bonnie Zima

Abstract

Background: National recommendations for pediatric integrated care models include improved capacity for care coordination and communication across primary care and specialty mental health providers using technology, yet few practical, short-term solutions are available for low-resource, community-based pediatric integrated care clinics.

Objective: The goal of the paper is to describe the development and features of a Web-based tool designed for program evaluation and clinician monitoring of embedded pediatric mental health care using a community-partnered approach. In addition, a longitudinal study design was used to assess the implementation of the tool in program evaluation, including clinical monitoring and data collection.

Methods: Biweekly meetings of the partnered evaluation team (clinic, academic, and funding partners) were convened over the course of 12 months to specify tool features using a participatory framework, followed by usability testing and further refinement during implementation.

Results: A data collection tool was developed to collect clinic population characteristics as well as collect and display patient mental health outcomes and clinical care services from 277 eligible caregiver/child participants. Despite outreach, there was little uptake of the tool by either the behavioral health team or primary care provider.

Conclusions: Development of the H3 Tracker (Healthy Minds, Healthy Children, Healthy Chicago Tracker) in two community-based pediatric clinics with embedded mental health teams serving predominantly minority children is feasible and promising for on-site program evaluation data collection. Future research is needed to understand ways to improve clinic integration and examine whether promotion of primary care/mental health communication drives sustained use.

Trial registration: ClinicalTrials.gov NCT02699814; https://ichgcp.net/clinical-trials-registry/NCT02699814 (Archived by WebCite at http://www.webcitation.org/772pV5rWW).

Keywords: community mental health services; community-based participatory research; data collection methods; integrated health care systems.

Conflict of interest statement

Conflicts of Interest: AA is founder of Insight Health Systems, Arevian Technologies, and Open Science Initiative. AA developed the Chorus platform which is licensed to Insight Health Systems from the University of California, Los Angeles.

©Michael McCreary, Armen C Arevian, Madeline Brady, Ana E Mosqueda Chichits, Lily Zhang, Lingqi Tang, Bonnie Zima. Originally published in JMIR Mental Health (http://mental.jmir.org), 23.04.2019.

Figures

Figure 1
Figure 1
Process flow diagram. H3: Healthy Minds, Healthy Children, Healthy Chicago.
Figure 2
Figure 2
Daily Census page.

References

    1. Kelleher KJ, Campo JV, Gardner WP. Management of pediatric mental disorders in primary care: where are we now and where are we going? Curr Opin Pediatr. 2006 Dec;18(6):649–653. doi: 10.1097/MOP.0b013e3280106a76.
    1. Coffey S, Vanderlip E, Sarvet B. The use of health information technology within collaborative and integrated models of child psychiatry practice. Child Adolesc Psychiatr Clin N Am. 2017 Dec;26(1):105–115. doi: 10.1016/j.chc.2016.07.012.
    1. Croft B, Parish SL. Care integration in the Patient Protection and Affordable Care Act: implications for behavioral health. Adm Policy Ment Health. 2013 Jul;40(4):258–263. doi: 10.1007/s10488-012-0405-0.
    1. Croghan T, Brown J. Integrating mental health treatment into the patient centered medical home. Agency for Healthcare Research and Quality; 2010. [2019-03-21]. .
    1. Institute of Medicine . Improving the Quality of Health Care for Mental and Substance-Use Conditions. Washington: National Academies Press; 2006.
    1. New Freedom Commission on Mental Health—Achieving the promise: transforming mental health care in America. Department of Health and Human Services; [2018-09-27]. .
    1. Mental Health: a report of the Surgeon General. 1999. [2019-03-21]. .
    1. Druss BG, Rohrbaugh RM, Levinson CM, Rosenheck RA. Integrated medical care for patients with serious psychiatric illness: a randomized trial. Arch Gen Psychiatry. 2001 Sep;58(9):861–868.
    1. Boswell JF, Kraus DR, Miller SD, Lambert MJ. Implementing routine outcome monitoring in clinical practice: benefits, challenges, and solutions. Psychother Res. 2015;25(1):6–19. doi: 10.1080/10503307.2013.817696.
    1. Lambert M, Whipple J, Hawkins E, Vermeersch D, Nielsen S, Smart D. Is it time for clinicians to routinely track patient outcome? A meta-analysis. Clin Psychol Sci Prac. 2003;10(3):288–301. doi: 10.1093/clipsy.bpg025.
    1. Asarnow J, Kolko DJ, Miranda J, Kazak AE. The pediatric patient-centered medical home: innovative models for improving behavioral health. Am Psychol. 2017 Jan;72(1):13–27. doi: 10.1037/a0040411.
    1. Committee on Children with Disabilities Care coordination: integrating health and related systems of care for children with special health care needs. Pediatrics. 1999;104(4):978–981.
    1. Kelleher KJ, Stevens J. Evolution of child mental health services in primary care. Acad Pediatr. 2009 Jan;9(1):7–14. doi: 10.1016/j.acap.2008.11.008.
    1. Adler-Milstein J, DesRoches CM, Kralovec P, Foster G, Worzala C, Charles D, Searcy T, Jha AK. Electronic health record adoption in US hospitals: progress continues, but challenges persist. Health Aff (Millwood) 2015 Dec;34(12):2174–2180. doi: 10.1377/hlthaff.2015.0992.
    1. Anderson JG. Social, ethical and legal barriers to e-health. Int J Med Inform. 2007;76(5-6):480–483. doi: 10.1016/j.ijmedinf.2006.09.016.
    1. Cebul RD, Love TE, Jain AK, Hebert CJ. Electronic health records and quality of diabetes care. N Engl J Med. 2011 Sep 1;365(9):825–833. doi: 10.1056/NEJMsa1102519.
    1. Chen C, Garrido T, Chock D, Okawa G, Liang L. The Kaiser Permanente electronic health record: transforming and streamlining modalities of care. Health Aff (Millwood) 2009 Apr;28(2):323–333. doi: 10.1377/hlthaff.28.2.323.
    1. Hillestad R, Bigelow J, Bower A, Girosi F, Meili R, Scoville R, Taylor R. Can electronic medical record systems transform health care? Potential health benefits, savings, and costs. Health Aff (Millwood) 2005;24(5):1103–1117. doi: 10.1377/hlthaff.24.5.1103.
    1. King J, Patel V, Jamoom EW, Furukawa MF. Clinical benefits of electronic health record use: national findings. Health Serv Res. 2014 Feb;49(1 Pt 2):392–404. doi: 10.1111/1475-6773.12135.
    1. Bates D. Getting in step: electronic health records and their role in care coordination. J Gen Intern Med. 2010;25(3):174–176.
    1. Madden JM, Lakoma MD, Rusinak D, Lu CY, Soumerai SB. Missing clinical and behavioral health data in a large electronic health record (EHR) system. J Am Med Inform Assoc. 2016 Nov;23(6):1143–1149. doi: 10.1093/jamia/ocw021.
    1. O'Malley AS, Grossman JM, Cohen GR, Kemper NM, Pham HH. Are electronic medical records helpful for care coordination? Experiences of physician practices. J Gen Intern Med. 2010 Mar;25(3):177–185. doi: 10.1007/s11606-009-1195-2.
    1. Zhang H, Cocosila M, Archer N. Factors of adoption of mobile information technology by homecare nurses: a technology acceptance model 2 approach. Comput Inform Nurs. 2010;28(1):49–56. doi: 10.1097/NCN.0b013e3181c0474a.
    1. Lluch M. Healthcare professionals' organisational barriers to health information technologies: a literature review. Int J Med Inform. 2011 Dec;80(12):849–862. doi: 10.1016/j.ijmedinf.2011.09.005.
    1. Ratwani RM, Fairbanks RJ, Hettinger AZ, Benda NC. Electronic health record usability: analysis of the user-centered design processes of eleven electronic health record vendors. J Am Med Inform Assoc. 2015 Nov;22(6):1179–1182. doi: 10.1093/jamia/ocv050.
    1. Safdari R, Dargahi H, Shahmoradi L, Farzaneh NA. Comparing four softwares based on ISO 9241 part 10. J Med Syst. 2012 Oct;36(5):2787–2793. doi: 10.1007/s10916-011-9755-5.
    1. Grinspan Z, Banerjee S, Kaushal R, Kern L. Physician specialty and variations in adoption of electronic health records. Applied Clinical Informatics. 2013;4(02):225–240.
    1. Miller RH, Sim I. Physicians' use of electronic medical records: barriers and solutions. Health Aff (Millwood) 2004;23(2):116–126.
    1. About Us. Illinois Children's Healthcare Foundation; [2018-09-27].
    1. Zima BT, McCreary M, Kenan K, Churchey-Mims M, Chi H, Brady M, Davies J, Rompala V, Leventhal B. Development and evaluation of two integrated care models for children using a partnered formative evaluation approach. Ethn Dis. 2018;28(Suppl 2):445–456. doi: 10.18865/ed.28.S2.445.
    1. Jellinek M. A path beyond advocacy to improve mental health services for children and families: population health management. JAMA Pediatr. 2017 Dec 01;171(7):615–616. doi: 10.1001/jamapediatrics.2017.0216.
    1. Arevian A. Chorus Participatory Technology Platform. [2018-09-27].
    1. Arevian AC, O'Hora J, Jones F, Mango J, Jones L, Williams PG, Booker-Vaughns J, Jones A, Pulido E, Banner-Jackson D, Wells KB. Participatory technology development to enhance community resilience. Ethn Dis. 2018;28(Suppl 2):493–502. doi: 10.18865/ed.28.S2.493.
    1. Jensen RE, Rothrock NE, DeWitt EM, Spiegel B, Tucker CA, Crane HM, Forrest CB, Patrick DL, Fredericksen R, Shulman LM, Cella D, Crane PK. The role of technical advances in the adoption and integration of patient-reported outcomes in clinical care. Med Care. 2015 Feb;53(2):153–159. doi: 10.1097/MLR.0000000000000289.
    1. Nelson EC, Eftimovska E, Lind C, Hager A, Wasson JH, Lindblad S. Patient reported outcome measures in practice. BMJ. 2015 Feb 10;350:7818.
    1. Lam P, Hiscock H, Wake M. Outcomes of infant sleep problems: a longitudinal study of sleep, behavior, and maternal well-being. Pediatrics. 2003 Mar;111(3):e203–e207.
    1. Rosal MC, Ockene IS, Ockene JK, Barrett SV, Ma Y, Hebert JR. A longitudinal study of students' depression at one medical school. Acad Med. 1997 Jun;72(6):542–546.
    1. West CP, Huschka MM, Novotny PJ, Sloan JA, Kolars JC, Habermann TM, Shanafelt TD. Association of perceived medical errors with resident distress and empathy: a prospective longitudinal study. JAMA. 2006 Sep 06;296(9):1071–1078. doi: 10.1001/jama.296.9.1071.
    1. Medical Home Initiatives for Children With Special Needs Project Advisory Committee, American Academy of Pediatrics The medical home. Pediatrics. 2002 Jul;110(1 Pt 1):184–186.
    1. Morton S, Shih SC, Winther CH, Tinoco A, Kessler RS, Scholle SH. Health IT-enabled care coordination: a national survey of patient-centered medical home clinicians. Ann Fam Med. 2015;13(3):250–256. doi: 10.1370/afm.1797.
    1. Cohen GR, Adler-Milstein J. Meaningful use care coordination criteria: perceived barriers and benefits among primary care providers. J Am Med Inform Assoc. 2016 Apr;23(e1):e146–e151. doi: 10.1093/jamia/ocv147.
    1. Lin C, Lin I, Roan J. Barriers to physicians' adoption of healthcare information technology: an empirical study on multiple hospitals. J Med Syst. 2012 Jun;36(3):1965–1977. doi: 10.1007/s10916-011-9656-7.
    1. Kodner DL, Kyriacou CK. Fully integrated care for frail elderly: two American models. Int J Integr Care. 2000 Nov 01;1:e08.
    1. Wodchis WP, Dixon A, Anderson GM, Goodwin N. Integrating care for older people with complex needs: key insights and lessons from a seven-country cross-case analysis. Int J Integr Care. 2015;15:e021.

Source: PubMed

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