This study analyzed the accuracy of clinical indicators of ineffective health management in hemodialysis patients. A diagnostic accuracy study was performed in 200 chronic kidney disease patients undergoing hemodialysis during the first half of 2015. Measures of sensitivity and specificity were calculated using latent class analysis. Ineffective health management was present in 66.28% of patients. Accurate clinical indicators included expressed nonadherence to treatment, daily life choices ineffective to achieve health goals, expression of difficulty with prescribed regimens, inappropriate use of medicines, lack of expression of willingness to control the disease, irregular attendance of dialysis sessions, and infection. Hemodialysis may trigger a set of clinical indicators that predict the presence of ineffective health management. This knowledge provides evidence to clinical practices for hemodialysis patients and contributes to the best clinical performance of nurse practitioners.
AmadoL.FerreiraN.MirandaV.MeirelesP.PoveraV.FerreiraR.. . . CostaE. (2015). Self-reported medication adherence in patients with end-stage kidney disease undergoing online haemodiafiltration. Journal of Renal Care, 41, 231-238. Retrieved from http://onlinelibrary.wiley.com/doi/10.1111/jorc.12127/abstract
4.
AspdenT.WolleyM.TianM. M.RajahE.CurdS.KumarD.. . . MarshallM. R. (2015). Understanding barriers to optimal medication management for those requiring long-term dialysis: Rationale and design for an observational study, and a quantitative description of study variables and data. BMC Nephrology, 16(102), 1-10. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/26162369
5.
BayhakkiB.HatthakitU. (2012). Lived experiences of patients on hemodialysis: A meta-synthesis. Nephrology Nursing Journal, 39, 295-304. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/23061114
6.
BrancoJ. M. A.LisboaM. T. L. (2010). Adherence to hemodialysis by chronic renal patients: Strategies for nursing. Revista Enfermagem UERJ, 18, 578-583. Retrieved from http://www.facenf.uerj.br/v18n4/v18n4a13.pdf
CollinsL. M.LanzaS. T. (2010). Latent class and latent transition analysis: With applications in the social behavioral, and health sciences. Hoboken, NJ: John Wiley.
9.
CristovãoA. F. (2013). Difficulties and strategies to manage the therapeutic regimen in the patients with chronic renal in hemodialysis. Nefrol Enferm Madrid, 16, 247-255.
10.
CurtinR. B.SitterD. C. B.SchatelliD.ChewningB. A. (2004). Self-management, knowledge, and functioning and well-being of patients on hemodialysis. Nephrology Nursing Journal, 31, 378-386. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/15453230
11.
Di BenedettoA.PellicciaF.MorettiM.D’OrsiW.StaraceF.ScatizziL.. . . MarcelliD. (2011). What causes an improved safety climate among the staff of a dialysis unit? Report of an evaluation in a large network. Journal of Nephrology, 24, 604-612. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/21298614
12.
FramD.OkunoM. F.TaminatoM.PonzioV.ManfrediS. R.GrotheC.. . . BarbosaD. (2015). Risk factors for bloodstream infection in patients at a Brazilian hemodialysis center: A case-control study. BMC Infectious Diseases, 15(1), 1-9. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/25879516
13.
FrazãoC. M. F. Q. (2012). Nursing diagnoses in patients undergoing hemodialysis: Similarities between the Adaptation Model and NANDA International (Doctoral thesis). Federal University of Rio Grande do Norte, Natal, Brazil.
14.
FrazãoC. M. F. Q.SáJ. D.PaivaM. D.LiraA. L. B. C.LopesM. V.EndersB. C. (2015). Association between nursing diagnoses and socioeconomic/clinical characteristics of patients on hemodialysis. International Journal of Nursing Knowledge, 26, 135-140. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/25163351
15.
GerasimoulaK.LefkotheaL.MariaL.VictoriaA.ParaskeviT.MariaP. (2015). Quality of life in hemodialysis patients. Materia Socio Medica, 27, 305-309. Retrieved from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4639348/
16.
GoodwinJ. S.BlackS. A.SatishS. (1999). Aging versus disease: The opinions of older black, Hispanic, and non-Hispanic white Americans about the causes and treatment of common medical conditions. Journal of the American Geriatrics Society, 47, 973-979. Retrieved from http://onlinelibrary.wiley.com/doi/10.1111/j.1532-5415.1999.tb01293.x/full
17.
GreyM.KnaflK.McCorkleR. (2006). A framework for the study of self- and family management of chronic conditions. Nursing Outlook, 54, 278-286. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/17027605
18.
GrivaK.MooppilN.SeetP.KrishnanD. S.JamesH.NewmanS. P. (2011). The NKF NUS hemodialysis trial protocol—A randomized controlled trial to determine the effectiveness of a self management intervention for hemodialysis patients. BMC Nephrology, 12(4), 1-11. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/21272382
19.
HarmonM. P.CastroF. G.CoeK. (1996). Acculturation and cervical cancer: Knowledge, beliefs, and behaviors of Hispanic women. Women Health, 24(3), 37-57. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/9046552
20.
HerdmanT. H.KamitsuruS. (2014). NANDA International nursing diagnoses: Definitions and classification 2015-2017. São Paulo, Brazil: Artmed.
21.
HigginsM.EvansD. S. (2008). Nurses’ knowledge and practice of vascular access infection control in haemodialysis patients in the Republic of Ireland. Journal of Renal Care, 34(2), 48-53. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/18498567
22.
KeyvaniH.AgahS.KabirA.AlavianS. M. (2013). Prevalence and risk factors of isolated anti-HBc antibody and occult hepatitis B infection in hemodialysis patients: A nationwide study. Annals of Hepatology, 12, 213-219. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/23396732
23.
KhalilA. A.DarawadM. A. L.GamalE.Hamdan-MansourA. M.AbedM. A. (2013). Predictors of dietary and fluid non-adherence in Jordanian patients with end-stage renal disease receiving haemodialysis: A cross-sectional study. Journal of Clinical Nursing, 22, 127-136. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/22686337
24.
LopesM. V. O.SilvaV. M.AraújoT. L. (2012). Methods for establishing the accuracy of clinical indicators in predicting nursing diagnoses. Journal of Nursing Knowledge, 23, 134-139. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/23043652
25.
LuisD.ZlatkisK.ComengeB.GarcíaZ.NavarroJ. F.LorenzoV.CarreroJ. J. (2016). Dietary quality and adherence to dietary recommendations in patients undergoing hemodialysis. Journal of Renal Nutrition, 26, 190-195. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/26827131
26.
PaivaM. G. M. N. (2015). Content analysis and clinical validation of nursing diagnosis ineffective health self-control (Master’s dissertation). Federal University of Rio Grande do Norte, Natal, Brazil.
27.
PatatC. L.StummE. M. F.KirchnerR. M.GuidoL. A.BarbosaD. A. (2012). Analysis of the quality of life of hemodialysis users. Enfermería Global, 11(2), 66-76.
28.
R Core Team. (2014). R: A language and environment for statistical computing. Retrieved from http://www.r-project.org
29.
St-JulesD. E.WoolfK.PompeiiM. L.CevickM. A. (2016). Exploring problems in following the hemodialisis diet and their relation to energy and nutrient intakes: The balance wise study. Journal of Renal Nutrition, 26, 118-124. Retrieved from https://www.ncbi.nlm.nih.gov/pubmed/26586249
30.
SilvaF. B. B. L. (2014). Concept analysis of nursing diagnosis ineffective health self-control in patients undergoing hemodialysis (Master dissertation). Federal University of Rio Grande do Norte, Natal, Brazil.
31.
WilemanV.FarringtonK.WellstedD.AlmondM.DavenportA.ChilcotJ. (2015). Medication beliefs are associated with phosphate binder non-adherence in hyperphosphatemic haemodialysis patients. British Journal of Health Psychology, 20, 563-578. Retrieved from http://onlinelibrary.wiley.com/doi/10.1111/bjhp.12116/abstract
