NAV-KIDS
Allied Health Personnel
Australia
Child
Cost-Benefit Analysis
Female
Health Services Accessibility
/ organization & administration
Humans
Male
Models, Organizational
Patient Care Management
/ methods
Patient Navigation
/ methods
Program Evaluation
/ methods
Quality Improvement
Randomized Controlled Trials as Topic
Renal Insufficiency, Chronic
/ therapy
Vulnerable Populations
Adolescents
Children
Chronic kidney disease
Dialysis
Health disparities
Kidney transplantation
Patient navigator
Randomised controlled trial
Socioeconomic disadvantage
Journal
BMC nephrology
ISSN: 1471-2369
Titre abrégé: BMC Nephrol
Pays: England
ID NLM: 100967793
Informations de publication
Date de publication:
18 04 2019
18 04 2019
Historique:
received:
12
03
2019
accepted:
02
04
2019
entrez:
20
4
2019
pubmed:
20
4
2019
medline:
24
4
2020
Statut:
epublish
Résumé
Chronic kidney disease (CKD) is a devastating illness associated with increased mortality, reduced quality of life, impaired growth, neurocognitive impairment and psychosocial maladjustment in children. There is growing evidence of socioeconomic disparities in health outcomes among children with CKD. Patient navigators are trained non-medical personnel who assist patients with chronic conditions journey through the continuum of care and transit across different care settings. They help vulnerable and underserved populations to better understand their diagnosis, treatment options, and available resources, guide them through complex medical systems, and help them to overcome barriers to health care access. Given the complexity and chronicity of the disease process and concerns that current models of care may not adequately support the provision of high-level care in children with CKD from socioeconomically disadvantaged backgrounds, a patient navigator program may improve the provision of care and overall health of children with CKD. The NAV-KIDS This study will provide clear evidence on the effectiveness and cost-effectiveness of a new intervention aiming to improve overall health and well-being for children with CKD from socioeconomically disadvantaged backgrounds, through a high quality, well-powered clinical trial. Prospectively registered (12/07/2018) on the Australian New Zealand Clinical Trials Registry ( ACTRN12618001152213 ).
Sections du résumé
BACKGROUND
Chronic kidney disease (CKD) is a devastating illness associated with increased mortality, reduced quality of life, impaired growth, neurocognitive impairment and psychosocial maladjustment in children. There is growing evidence of socioeconomic disparities in health outcomes among children with CKD. Patient navigators are trained non-medical personnel who assist patients with chronic conditions journey through the continuum of care and transit across different care settings. They help vulnerable and underserved populations to better understand their diagnosis, treatment options, and available resources, guide them through complex medical systems, and help them to overcome barriers to health care access. Given the complexity and chronicity of the disease process and concerns that current models of care may not adequately support the provision of high-level care in children with CKD from socioeconomically disadvantaged backgrounds, a patient navigator program may improve the provision of care and overall health of children with CKD.
METHODS
The NAV-KIDS
DISCUSSION
This study will provide clear evidence on the effectiveness and cost-effectiveness of a new intervention aiming to improve overall health and well-being for children with CKD from socioeconomically disadvantaged backgrounds, through a high quality, well-powered clinical trial.
TRIAL REGISTRATION
Prospectively registered (12/07/2018) on the Australian New Zealand Clinical Trials Registry ( ACTRN12618001152213 ).
Identifiants
pubmed: 30999884
doi: 10.1186/s12882-019-1325-y
pii: 10.1186/s12882-019-1325-y
pmc: PMC6471999
doi:
Banques de données
ANZCTR
['ACTRN12618001152213']
Types de publication
Clinical Trial Protocol
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
134Références
McDonald SP, Craig JC. Long-term survival of children with end-stage renal disease. N Engl J Med. 2004;350(26):2654–62.
doi: 10.1056/NEJMoa031643
Didsbury M, van Zwieten A, Chen K, James L, Francis A, Kim S, McTaggart S, Walker A, Mackie F, Kara T et al: Socioeconomic determinants and the overall health status of children and adolescents with chronic kidney disease. 2018 (under review).
Didsbury MS, Kim S, Medway MM, Tong A, McTaggart SJ, Walker AM, White S, Mackie FE, Kara T, Craig JC, et al. Socio-economic status and quality of life in children with chronic disease: a systematic review. J Paediatr Child Health. 2016;52(12):1062–9.
doi: 10.1111/jpc.13407
Minnick ML, Boynton S, Ndirangu J, Furth S. Sex, race, and socioeconomic disparities in kidney disease in children. Semin Nephrol. 2010;30(1):26–32.
doi: 10.1016/j.semnephrol.2009.10.003
Patzer RE, McClellan WM. Influence of race, ethnicity and socioeconomic status on kidney disease. Nat Rev Nephrol. 2012;8(9):533–41.
doi: 10.1038/nrneph.2012.117
Medway M, Tong A, Craig JC, Kim S, Mackie F, McTaggart S, Walker A, Wong G. Parental perspectives on the financial impact of caring for a child with CKD. Am J Kidney Dis. 2015;65(3):384–93.
doi: 10.1053/j.ajkd.2014.07.019
Natale-Pereira A, Enard KR, Nevarez L, Jones LA. The role of patient navigators in eliminating health disparities. Cancer. 2011;117(15 Suppl):3543–52.
pubmed: 21780089
pmcid: 4121958
Robinson-White S, Conroy B, Slavish KH, Rosenzweig M. Patient navigation in breast cancer: a systematic review. Cancer Nurs. 2010;33(2):127–40.
doi: 10.1097/NCC.0b013e3181c40401
McBrien KA, Ivers N, Barnieh L, Bailey JJ, Lorenzetti DL, Nicholas D, Tonelli M, Hemmelgarn B, Lewanczuk R, Edwards A, et al. Patient navigators for people with chronic disease: a systematic review. PLoS One. 2018;13(2):e0191980.
doi: 10.1371/journal.pone.0191980
Wong G, Medway M, Didsbury M, Tong A, Turner R, Mackie F, McTaggart S, Walker A, White S, Howard K, et al. Health and wealth in children and adolescents with chronic kidney disease (K-CAD study). BMC Public Health. 2014;14:307.
doi: 10.1186/1471-2458-14-307
Cunningham JA, Kypri K, McCambridge J. Exploratory randomized controlled trial evaluating the impact of a waiting list control design. BMC Med Res Methodol. 2013;13:150.
doi: 10.1186/1471-2288-13-150
Cotterill S, Knowles S, Martindale AM, Elvey R, Howard S, Coupe N, Wilson P, Spence M. Getting messier with TIDieR: embracing context and complexity in intervention reporting. BMC Med Res Methodol. 2018;18(1):12.
doi: 10.1186/s12874-017-0461-y
Parker VA, Clark JA, Leyson J, Calhoun E, Carroll JK, Freund KM, Battaglia TA. Patient navigation: development of a protocol for describing what navigators do. Health Serv Res. 2010;45(2):514–31.
doi: 10.1111/j.1475-6773.2009.01079.x
Schnittker J, Bacak V. The increasing predictive validity of self-rated health. PLoS One. 2014;9(1):e84933.
doi: 10.1371/journal.pone.0084933
Bowling A. Just one question: if one question works, why ask several? J Epidemiol Community Health. 2005;59(5):342–5.
doi: 10.1136/jech.2004.021204
Fosse NE, Haas SA. Validity and stability of self-reported health among adolescents in a longitudinal, nationally representative survey. Pediatrics. 2009;123(3):e496–501.
doi: 10.1542/peds.2008-1552
Riley AW. Evidence that school-age children can self-report on their health. Ambul Pediatr. 2004;4(4):371–6.
doi: 10.1367/A03-178R.1
Shrivastava A, Murrin C, Kelleher CC. Preschoolers’ parent-rated health disparities are strongly associated with measures of adiposity in the lifeways cohort study children. BMJ Open. 2014;4(7).
doi: 10.1136/bmjopen-2014-005328
Monette S, Seguin L, Gauvin L, Nikiema B. Validation of a measure of maternal perception of the child's health status. Child Care Health Dev. 2007;33(4):472–81.
doi: 10.1111/j.1365-2214.2006.00713.x
Schwartz GJ, Muñoz A, Schneider MF, Mak RH, Kaskel F, Warady BA, Furth SL. New equations to estimate GFR in children with CKD. J Am Soc Nephrol. 2009;20(3):629–37.
doi: 10.1681/ASN.2008030287
Horsman J, Furlong W, Feeny D, Torrance G. The health utilities index (HUI): concepts, measurement properties and applications. Health Qual Life Outcomes. 2003;1:54.
doi: 10.1186/1477-7525-1-54
Moore GF, Audrey S, Barker M, Bond L, Bonell C, Hardeman W, Moore L, O'Cathain A, Tinati T, Wight D, et al. Process evaluation of complex interventions: Medical Research Council guidance. BMJ. 2015;350:h1258.
doi: 10.1136/bmj.h1258