Complexity of Medication Regimens for Children With Neurological Impairment

James A Feinstein, Hannah Friedman, Lucas E Orth, Chris Feudtner, Allison Kempe, Sadaf Samay, Allison B Blackmer, James A Feinstein, Hannah Friedman, Lucas E Orth, Chris Feudtner, Allison Kempe, Sadaf Samay, Allison B Blackmer

Abstract

Importance: Parents of children with severe neurological impairment (SNI) manage complex medication regimens (CMRs) at home, and clinicians can help support parents and simplify CMRs.

Objective: To measure the complexity and potentially modifiable aspects of CMRs using the Medication Regimen Complexity Index (MRCI) and to examine the association between MRCI scores and subsequent acute visits.

Design, setting, and participants: This cross-sectional study was conducted between April 1, 2019, and December 31, 2020, at a single-center, large, hospital-based, complex care clinic. Participants were children with SNI aged 1 to 18 years and 5 or more prescribed medications.

Exposure: Home medication regimen complexity was assessed using MRCI scores. The total MRCI score is composed of 3 subscores (dosage form, dose frequency, and specialized instructions).

Main outcomes and measures: Patient-level counts of subscore characteristics and additional safety variables (total doses per day, high-alert medications, and potential drug-drug interactions) were analyzed by MRCI score groups (low, medium, and high score tertiles). Associations between MRCI score groups and acute visits were tested using Poisson regression, adjusted for age, complex chronic conditions, and recent health care use.

Results: Of 123 patients, 73 (59.3%) were male with a median (interquartile range [IQR]) age of 9 (5-13) years. The median (IQR) MRCI scores were 46 (35-61 [range, 8-139]) overall, 29 (24-35) for the low MRCI group, 46 (42-50) for the medium MRCI group, and 69 (61-78) for the high MRCI group. The median (IQR) counts for the subscores were 6 (4-7) dosage forms per patient, 7 (5-9) dose frequencies per patient, and 5 (4-8) instructions per patient, with counts increasing significantly across higher MRCI groups. Similar trends occurred for total daily doses (median [IQR], 31 [20-45] doses), high-alert medications (median [IQR], 3 [1-5] medications), and potential drug-drug interactions (median [IQR], 3 [0-6] interactions). Incidence rate ratios of 30-day acute visits were 1.26 times greater (95% CI, 0.57-2.78) in the medium MRCI group vs the low MRCI group and 2.42 times greater (95% CI, 1.10-5.35) in the high MRCI group vs the low MRCI group.

Conclusions and relevance: Higher MRCI scores were associated with multiple dose frequencies, complicated by different dosage forms and instructions, and associated with subsequent acute visits. These findings suggest that clinical interventions to manage CMRs could target various aspects of these regimens, such as the simplification of dosing schedules.

Conflict of interest statement

Conflict of Interest Disclosures: Dr Feinstein reported being Chair of the State of Colorado Medicaid Pharmacy and Therapeutics Committee. Dr Blackmer reported receiving personal fees from Wolter-Kluwer Pediatric and Neonatal Lexi-drugs and the Drug Utilization Review Board for the Colorado Department of Health Care Policy and Financing. No other disclosures were reported.

Figures

Figure 1.. Distribution of Medication Regimen Complexity…
Figure 1.. Distribution of Medication Regimen Complexity Index (MRCI) Subscores by Total MRCI Scores in Children With Severe Neurological Impairment
This graph displays fractional polynomial plots of MRCI mean subscores associated with total MRCI scores. The vertical reference lines display thresholds for the low, medium, and high MRCI total score tertiles. Shaded areas denote 95% CIs.
Figure 2.. Medication-Level Characteristics of Complex Medication…
Figure 2.. Medication-Level Characteristics of Complex Medication Regimens Related to Medication Regimen Complexity Index (MRCI) Subscores in Children With Severe Neurological Impairment
Graphs show the percentage distribution of dosage forms among all medications (A), the percentage distribution of dose frequencies among all scheduled medications (B), the percentage distribution of dose frequencies among all as-needed (PRN) medications (C), and the percentage distribution of additional instructions among all medications (D). MDI indicates meter dose inhaler.
Figure 3.. Characteristics of Complex Medication Regimens…
Figure 3.. Characteristics of Complex Medication Regimens at the Patient Level by Medication Regimen Complexity Index (MRCI) Tertile in Children With Severe Neurological Impairment
In the box plots, lines within boxes denote medians, ends of boxes denote interquartile ranges, and error bars denote the lower and upper adjacent values. Panel A displays counts for unique dosage forms per patient, dose frequencies per patient, and additional instructions per patient. Panel B displays counts for scheduled medication doses per patient per day excluding as-needed (PRN) medications, PRN medications per patient per day, and total doses per patient per day. Panel C displays counts for high-risk medications per patient, and moderate and major potential drug-drug interactions per patient. All comparisons across MRCI score groups were significant (P < .05, nonparametric tests of trend).

References

    1. Thomson JE, Feinstein JA, Hall M, Gay JC, Butts B, Berry JG. Identification of children with high-intensity neurological impairment. JAMA Pediatr. 2019;173(10):989-991. doi:10.1001/jamapediatrics.2019.2672
    1. Blackmer AB, Fox D, Arendt D, Phillips K, Feinstein JA. Perceived versus demonstrated understanding of the complex medications of medically complex children. J Pediatr Pharmacol Ther. 2021;26(1):62-72. doi:10.5863/1551-6776-26.1.62
    1. Feinstein JA, Hall M, Antoon JW, et al. . Chronic medication use in children insured by Medicaid: a multistate retrospective cohort study. Pediatrics. 2019;143(4):e20183397. doi:10.1542/peds.2018-3397
    1. Edelstein H, Schippke J, Sheffe S, Kingsnorth S. Children with medical complexity: a scoping review of interventions to support caregiver stress. Child Care Health Dev. 2017;43(3):323-333. doi:10.1111/cch.12430
    1. Philips K, Zhou R, Lee DS, et al. . Caregiver medication management and understanding after pediatric hospital discharge. Hosp Pediatr. 2019;9(11):844-850. doi:10.1542/hpeds.2019-0036
    1. Yin HS, Mendelsohn AL, Wolf MS, et al. . Parents’ medication administration errors: role of dosing instruments and health literacy. Arch Pediatr Adolesc Med. 2010;164(2):181-186. doi:10.1001/archpediatrics.2009.269
    1. Zandieh SO, Goldmann DA, Keohane CA, Yoon C, Bates DW, Kaushal R. Risk factors in preventable adverse drug events in pediatric outpatients. J Pediatr. 2008;152(2):225-231. doi:10.1016/j.jpeds.2007.09.054
    1. You MA, Nam SM, Son YJ. Parental experiences of medication administration to children at home and understanding of adverse drug events. J Nurs Res. 2015;23(3):189-196. doi:10.1097/jnr.0000000000000080
    1. Ferreira JM, Galato D, Melo AC. Medication regimen complexity in adults and the elderly in a primary healthcare setting: determination of high and low complexities. Pharm Pract (Granada). 2015;13(4):659. doi:10.18549/PharmPract.2015.04.659
    1. Wimmer BC, Cross AJ, Jokanovic N, et al. . Clinical outcomes associated with medication regimen complexity in older people: a systematic review. J Am Geriatr Soc. 2017;65(4):747-753. doi:10.1111/jgs.14682
    1. Dahmash DT, Shariff ZB, Kirby DJ, Terry D, Huynh C. Literature review of medication administration problems in paediatrics by parent/caregiver and the role of health literacy. BMJ Paediatr Open. 2020;4(1):e000841. doi:10.1136/bmjpo-2020-000841
    1. Harris LM, Dreyer BP, Mendelsohn AL, et al. . Liquid medication dosing errors by Hispanic parents: role of health literacy and English proficiency. Acad Pediatr. 2017;17(4):403-410. doi:10.1016/j.acap.2016.10.001
    1. Bakaki PM, Horace A, Dawson N, et al. . Defining pediatric polypharmacy: a scoping review. PLoS One. 2018;13(11):e0208047. doi:10.1371/journal.pone.0208047
    1. Baker C, Feinstein JA, Ma X, et al. . Variation of the prevalence of pediatric polypharmacy: a scoping review. Pharmacoepidemiol Drug Saf. 2019;28(3):275-287. doi:10.1002/pds.4719
    1. Masnoon N, Shakib S, Kalisch-Ellett L, Caughey GE. What is polypharmacy? a systematic review of definitions. BMC Geriatr. 2017;17(1):230. doi:10.1186/s12877-017-0621-2
    1. George J, Phun YT, Bailey MJ, Kong DC, Stewart K. Development and validation of the medication regimen complexity index. Ann Pharmacother. 2004;38(9):1369-1376. doi:10.1345/aph.1D479
    1. Wimmer BC, Bell JS, Fastbom J, Wiese MD, Johnell K. Medication regimen complexity and polypharmacy as factors associated with all-cause mortality in older people: a population-based cohort study. Ann Pharmacother. 2016;50(2):89-95. doi:10.1177/1060028015621071
    1. Paquin AM, Zimmerman KM, Kostas TR, et al. . Complexity perplexity: a systematic review to describe the measurement of medication regimen complexity. Expert Opin Drug Saf. 2013;12(6):829-840. doi:10.1517/14740338.2013.823944
    1. Hirsch JD, Metz KR, Hosokawa PW, Libby AM. Validation of a patient-level medication regimen complexity index as a possible tool to identify patients for medication therapy management intervention. Pharmacotherapy. 2014;34(8):826-835. doi:10.1002/phar.1452
    1. Auger KA, Shah SS, Davis MM, Brady PW. Counting the ways to count medications: the challenges of defining pediatric polypharmacy. J Hosp Med. 2019;14(8):506-507. doi:10.12788/jhm.3213
    1. Sluggett JK, Ooi CE, Gibson S, et al. . Simplifying medication regimens for people receiving community-based home care services: outcomes of a non-randomized pilot and feasibility study. Clin Interv Aging. 2020;15:797-809. doi:10.2147/CIA.S248377
    1. Bogler O, Roth D, Feinstein J, Strzelecki M, Seto W, Cohen E. Choosing medications wisely: is it time to address paediatric polypharmacy? Paediatr Child Health. 2019;24(5):303-305. doi:10.1093/pch/pxy188
    1. Schoonover H, Corbett CF, Weeks DL, Willson MN, Setter SM. Predicting potential postdischarge adverse drug events and 30-day unplanned hospital readmissions from medication regimen complexity. J Patient Saf. 2014;10(4):186-191. doi:10.1097/PTS.0000000000000067
    1. Zhou H, Roberts PA, Dhaliwal SS, Della PR. Risk factors associated with paediatric unplanned hospital readmissions: a systematic review. BMJ Open. 2019;9(1):e020554. doi:10.1136/bmjopen-2017-020554
    1. Feinstein JA, Feudtner C, Blackmer AB, et al. . Parent-reported symptoms and medications used among children with severe neurological impairment. JAMA Netw Open. 2020;3(12):e2029082. doi:10.1001/jamanetworkopen.2020.29082
    1. Feinstein JA, Feudtner C, Valuck RJ, et al. . Identifying important clinical symptoms in children with severe neurological impairment using parent-reported outcomes of symptoms. JAMA Pediatr. 2020;174(11):1114-1117. doi:10.1001/jamapediatrics.2020.2987
    1. von Elm E, Altman DG, Egger M, Pocock SJ, Gøtzsche PC, Vandenbroucke JP; STROBE Initiative . The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. Lancet. 2007;370(9596):1453-1457. doi:10.1016/S0140-6736(07)61602-X
    1. Thomson J, Hall M, Nelson K, et al. . Timing of co-occurring chronic conditions in children with neurologic impairment. Pediatrics. 2021;147(2):e2020009217. doi:10.1542/peds.2020-009217
    1. Feinstein JA, Russell S, DeWitt PE, Feudtner C, Dai D, Bennett TD. R package for pediatric complex chronic condition classification. JAMA Pediatr. 2018;172(6):596-598. doi:10.1001/jamapediatrics.2018.0256
    1. WHO Collaborating Centre for Drug Statistics Methodology . Guidelines for ATC classification and DDD assignment. Published December 16, 2020. Accessed July 27, 2021.
    1. University of Colorado Anschutz Medical Campus . Electronic data capture and coding tool for medication regimen complexity. Accessed June 19, 2021.
    1. Antoon JW, Hall M, Herndon A, et al. . Prevalence of clinically significant drug-drug interactions across US children’s hospitals. Pediatrics. 2020;146(5):e20200858. doi:10.1542/peds.2020-0858
    1. Institute for Safe Medication Practices . High-alert medications in community/ambulatory settings. Published January 31, 2011. Accessed July 27, 2021.
    1. Wishart DS, Knox C, Guo AC, et al. . DrugBank: a comprehensive resource for in silico drug discovery and exploration. Nucleic Acids Res. 2006;34(Database issue):D668-D672. doi:10.1093/nar/gkj067
    1. Barnette DJ, Hanks C, Li W, Porter K. Patient-level medication regimen complexity in an adolescent and adult population with autism spectrum disorders. Pharmacotherapy. 2019;39(6):636-644. doi:10.1002/phar.2202
    1. Ferreira JM, Galato D, Melo AC. Medication regimen complexity in adults and the elderly in a primary healthcare setting: determination of high and low complexities. Pharm Pract (Granada). 2015;13(4):659. doi:10.18549/PharmPract.2015.04.659
    1. Advinha AM, de Oliveira-Martins S, Mateus V, Pajote SG, Lopes MJ. Medication regimen complexity in institutionalized elderly people in an aging society. Int J Clin Pharm. 2014;36(4):750-756. doi:10.1007/s11096-014-9963-4
    1. Mansur N, Weiss A, Beloosesky Y. Looking beyond polypharmacy: quantification of medication regimen complexity in the elderly. Am J Geriatr Pharmacother. 2012;10(4):223-229. doi:10.1016/j.amjopharm.2012.06.002
    1. Libby AM, Fish DN, Hosokawa PW, et al. . Patient-level medication regimen complexity across populations with chronic disease. Clin Ther. 2013;35(4):385-398.e1. doi:10.1016/j.clinthera.2013.02.019
    1. Patel CH, Zimmerman KM, Fonda JR, Linsky A. Medication complexity, medication number, and their relationships to medication discrepancies. Ann Pharmacother. 2016;50(7):534-540. doi:10.1177/1060028016647067
    1. Linnebur SA, Vande Griend JP, Metz KR, Hosokawa PW, Hirsch JD, Libby AM. Patient-level medication regimen complexity in older adults with depression. Clin Ther. 2014;36(11):1538-1546.e1. doi:10.1016/j.clinthera.2014.10.004
    1. Yin HS, Parker RM, Sanders LM, et al. . Pictograms, units and dosing tools, and parent medication errors: a randomized study. Pediatrics. 2017;140(1):e20163237. doi:10.1542/peds.2016-3237
    1. Willson MN, Greer CL, Weeks DL. Medication regimen complexity and hospital readmission for an adverse drug event. Ann Pharmacother. 2014;48(1):26-32. doi:10.1177/1060028013510898
    1. Alves-Conceição V, Rocha KSS, Silva FVN, Silva ROS, da Silva DT, de Lyra DP Jr. Medication regimen complexity measured by MRCI: a systematic review to identify health outcomes. Ann Pharmacother. 2018;52(11):1117-1134. doi:10.1177/1060028018773691
    1. Harris SC, Jean SJ. Characterization of the medication regimen complexity index in high-utilizer, adult psychiatric patients. Ment Health Clin. 2020;10(4):207-214. doi:10.9740/mhc.2020.07.207
    1. Eiland LS, Benner K, Gumpper KF, et al. . ASHP-PPAG guidelines for providing pediatric pharmacy services in hospitals and health systems. J Pediatr Pharmacol Ther. 2018;23(3):177-191. doi:10.5863/1551-6776-23.3.177
    1. Lampkin SJ, Gildon B, Benavides S, Walls K, Briars L. Considerations for providing ambulatory pharmacy services for pediatric patients. J Pediatr Pharmacol Ther. 2018;23(1):4-17. doi:10.5863/1551-6776-23.1.4
    1. Bowers BL, Heffern C, Billings S. Implementation of a medication therapy management program in a primary care clinic. J Am Pharm Assoc (2003). 2019;59(3):383-389. doi:10.1016/j.japh.2019.02.009
    1. Lenz M, Clark JA, Gates BJ. Medication regimen complexity in patients receiving consultant pharmacy services in home health care. Sr Care Pharm. 2020;35(2):81-84. doi:10.4140/TCP.n.2020.81
    1. . Pill pack. Accessed January 28, 2021.
    1. Williams TA, Wolf MS, Parker RM, et al. . Parent dosing tool use, beliefs, and access: a health literacy perspective. J Pediatr. 2019;215:244-251.e1. doi:10.1016/j.jpeds.2019.08.017
    1. Rinke ML, Bundy DG, Velasquez CA, et al. . Interventions to reduce pediatric medication errors: a systematic review. Pediatrics. 2014;134(2):338-360. doi:10.1542/peds.2013-3531
    1. World Health Organization . The use of the WHO-UMC system for standardised case causality assessment. Published June 5, 2013. Accessed April 13, 2021.

Source: PubMed

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