Family-Assisted Severity of Illness Monitoring for Hospitalized Children in Low-Resource Settings-A Two-Arm Interventional Feasibility Study

Amelie O von Saint Andre-von Arnim, Rashmi K Kumar, Jonna D Clark, Benjamin S Wilfond, Quynh-Uyen P Nguyen, Daniel M Mutonga, Jerry J Zimmerman, Assaf P Oron, Judd L Walson, Amelie O von Saint Andre-von Arnim, Rashmi K Kumar, Jonna D Clark, Benjamin S Wilfond, Quynh-Uyen P Nguyen, Daniel M Mutonga, Jerry J Zimmerman, Assaf P Oron, Judd L Walson

Abstract

Introduction: Pediatric mortality remains unacceptably high in many low-resource settings, with inpatient deaths often associated with delayed recognition of clinical deterioration. The Family-Assisted Severe Febrile Illness ThERapy (FASTER) tool has been developed for caregivers to assist in monitoring their hospitalized children and alert clinicians. This study evaluates feasibility of implementation by caregivers and clinicians.

Methods: Randomized controlled feasibility study at Kenyatta National Hospital, Kenya. Children hospitalized with acute febrile illness with caregivers at the bedside for 24 h were enrolled. Caregivers were trained using the FASTER tool. The primary outcome was the frequency of clinician reassessments between intervention (FASTER) and standard care arms. Poisson regression with random intercept for grouping by patient was used, adjusting for admission pediatric early warning score, age, gender. Secondary outcomes included survey assessments of clinician and caregiver experiences with FASTER.

Results: One hundred and fifty patient/caregiver pairs were enrolled, 139 included in the analysis, 74 in the intervention, 65 in the control arm. Patients' median age was 0.9 (range 0.2-10) and 1.1 years (range 0.2-12) in intervention vs. control arms. The most common diagnoses were pneumonia (80[58%]), meningitis (58[38%]) and malaria (34 [24%]). 134 (96%) caregivers were patients' mothers. Clinician visits/hour increased with patients' illness severity in both arms, but without difference in frequency between arms (point estimate for difference -0.9%, p = 0.97). Of the 16 deaths, 8 (four/arm) occurred within 2 days of enrollment. Forty clinicians were surveyed, 33 (82%) reporting that FASTER could improve outcomes of very sick children in low-resource settings; 26 (65%) rating caregivers as able to adequately capture patients' severity of illness. Of 70 caregivers surveyed, 63 (90%) reported that FASTER training was easy to understand; all (100%) agreed that the intervention would improve care of hospitalized children and help identify sick children in their community.

Discussion: We observed no difference in recorded frequency of clinician visits with FASTER monitoring. However, the tool was rated positively by caregivers and clinicians., Implementation appears feasible but requires optimization. These feasibility data may inform a larger trial powered to measure morbidity and mortality outcomes to determine the utility of FASTER in detecting and responding to clinical deterioration in low-resource settings.

Clinical trial registration: ClinicalTrials.gov, identifier: NCT03513861.

Keywords: child health; critical illness; early warning score; global health; low middle income country; low-resource setting; pediatrics.

Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Copyright © 2022 von Saint Andre-von Arnim, Kumar, Clark, Wilfond, Nguyen, Mutonga, Zimmerman, Oron and Walson.

Figures

Figure 1
Figure 1
Consort flow diagram.
Figure 2
Figure 2
Hourly clinician bedside visits vs. caregiver flags.
Figure 3
Figure 3
Daytime pattern of clinician patient visits in intervention vs. control arm.

References

    1. UN Inter-agency Group for Child Mortality Estimation,. Child Mortality Estimates . (2020). Available online at:
    1. GBD 2019 Under-5 Mortality Collaborators . Global, regional, and national progress towards Sustainable Development Goal 3.2 for neonatal and child health: all-cause and cause-specific mortality findings from the Global Burden of Disease Study (2019). Lancet. (2021) 398:870–905. 10.1016/S0140-6736(21)01207-1
    1. World Health Organization . Health Workforce Requirements for Universal Health Coverage and the Sustainable Development Goals. Geneva: (2016).
    1. Nolan T, Angos P, Cunha AJ, Muhe L, Qazi S, Simoes EA, et al. . Quality of hospital care for seriously ill children in less-developed countries. Lancet. (2001) 357:106–10. 10.1016/S0140-6736(00)03542-X
    1. Bitwe R, Dramaix M, Hennart P. [Quality of care given to seriously ill children in a provincial hospital in central Africa]. Sante Publique. (2007) 19:401–11. 10.3917/spub.075.0401
    1. Olson D, Davis NL, Milazi R, Lufesi N, Miller WC, Preidis GA, et al. . Development of a severity of illness scoring system (inpatient triage, assessment and treatment) for resource-constrained hospitals in developing countries. Trop Med Int Health. (2013) 18:871–8. 10.1111/tmi.12137
    1. Murthy S, Adhikari NK. Global health care of the critically ill in low-resource settings. Ann Am Thorac Soc. (2013) 10:509–13. 10.1513/AnnalsATS.201307-246OT
    1. Cummings MJ, Goldberg E, Mwaka S, Kabajaasi O, Vittinghoff E, Cattamanchi A, et al. . A complex intervention to improve implementation of World Health Organization guidelines for diagnosis of severe illness in low-income settings: a quasi-experimental study from Uganda. Implement Sci. (2017) 12:126. 10.1186/s13012-017-0654-0
    1. Evans IVR, Phillips GS, Alpern ER, Angus DC, Friedrich ME, Kissoon N, et al. . Association between the New York sepsis care mandate and in-hospital mortality for pediatric sepsis. JAMA. (2018) 320:358–67. 10.1001/jama.2018.9071
    1. Ames SG, Davis BS, Angus DC, Carcillo JA, Kahn JM. Hospital variation in risk-adjusted pediatric sepsis mortality. Pediatr Crit Care Med. (2018) 19:390–6. 10.1097/PCC.0000000000001502
    1. Rodrigues-Santos G, de Magalhaes-Barbosa MC, Raymundo CE, Lima-Setta F, da Cunha A, Prata-Barbosa A. Improvement of 1st-hour bundle compliance and sepsis mortality in pediatrics after the implementation of the surviving sepsis campaign guidelines. J Pediatr (Rio J). (2021) 97:459–67. 10.1016/j.jped.2020.09.005
    1. George EC, Walker AS, Kiguli S, Olupot-Olupot P, Opoka RO, Engoru C, et al. . Predicting mortality in sick African children: the FEAST Paediatric Emergency Triage (PET) Score. BMC Med. (2015) 13:174. 10.1186/s12916-015-0407-3
    1. Muttalib F, Clavel V, Yaeger LH, Shah V, Adhikari NKJ. Performance of pediatric mortality prediction models in low- and middle-income countries: a systematic review and meta-analysis. J Pediatr. (2020) 225:182–92 e2. 10.1016/j.jpeds.2020.05.016
    1. von Saint Andre-von Arnim AO, Kumar RK, Oron AP, Nguyen QP, Mutonga DM, Zimmerman J, et al. . Feasibility of family-assisted severity of illness monitoring for hospitalized children in low-income settings. Pediatr Crit Care Med. (2021) 22:e115–24. 10.1097/PCC.0000000000002582
    1. Parshuram CS, Duncan HP, Joffe AR, Farrell CA, Lacroix JR, Middaugh KL, et al. . Multicentre validation of the bedside paediatric early warning system score: a severity of illness score to detect evolving critical illness in hospitalised children. Crit Care. (2011) 15:R184. 10.1186/cc10337
    1. Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG. Research electronic data capture (REDCap)–a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. (2009) 42:377–81. 10.1016/j.jbi.2008.08.010
    1. Lambert V, Matthews A, MacDonell R, Fitzsimons J. Paediatric early warning systems for detecting and responding to clinical deterioration in children: a systematic review. BMJ Open. (2017) 7:e014497. 10.1136/bmjopen-2016-014497
    1. Jagt EW. Improving pediatric survival from resuscitation events: the role and organization of hospital-based rapid response systems and code teams. Curr Pediatr Rev. (2013) 9:158–74. 10.2174/1573396311309020009
    1. Love KR, Karin E, Morogo D, Toroitich F, Boit JM, Tarus A, et al. . “To Speak of Death Is to Invite It”: provider perceptions of palliative care for cardiovascular patients in western Kenya. J Pain Symptom Manage. (2020) 60:717–24. 10.1016/j.jpainsymman.2020.05.003
    1. Ogero M, Sarguta RJ, Malla L, Aluvaala J, Agweyu A, English M, et al. . Prognostic models for predicting in-hospital paediatric mortality in resource-limited countries: a systematic review. BMJ Open. (2020) 10:e035045. 10.1136/bmjopen-2019-035045
    1. Irimu GW, Greene A, Gathara D, Kihara H, Maina C, Mbori-Ngacha D, et al. . Factors influencing performance of health workers in the management of seriously sick children at a Kenyan tertiary hospital–participatory action research. BMC Health Serv Res. (2014) 14:59. 10.1186/1472-6963-14-59
    1. Couet N, Desroches S, Robitaille H, Vaillancourt H, Leblanc A, Turcotte S, et al. . Assessments of the extent to which health-care providers involve patients in decision making: a systematic review of studies using the OPTION instrument. Health Expect. (2015) 18:542–61. 10.1111/hex.12054
    1. Sainsbury CP, Gray OP, Cleary J, Davies MM, Rowlandson PH. Care by parents of their children in hospital. Arch Dis Child. (1986) 61:612–5. 10.1136/adc.61.6.612
    1. Cleary J, Gray OP, Hall DJ, Rowlandson PH, Sainsbury CP, Davies MM. Parental involvement in the lives of children in hospital. Arch Dis Child. (1986) 61:779–87. 10.1136/adc.61.8.779
    1. Melo EM, Ferreira PL, Lima RA, Mello DF. The involvement of parents in the healthcare provided to hospitalzed children. Rev Lat Am Enfermagem. (2014) 22:432–9. 10.1590/0104-1169.3308.2434
    1. Kaguthi GK, Nduba V, Adam MB. The impact of the nurses', doctors' and clinical officer strikes on mortality in four health facilities in Kenya. BMC Health Serv Res. (2020) 20:469. 10.1186/s12913-020-05337-9
    1. Wiaganjo P. Exploring the perceptions of pediatric health care workers on audit and performance feedback in Kenyan County Hospitals [Thesis]. Nairobi: University S; (2015).
    1. Turner S, D'Lima D, Hudson E, Morris S, Sheringham J, Swart N, et al. . Evidence use in decision-making on introducing innovations: a systematic scoping review with stakeholder feedback. Implement Sci. (2017) 12:145. 10.1186/s13012-017-0669-6

Source: PubMed

3
S'abonner