Clinical validation of the nursing diagnosis "Ineffective health self-management" in people living with HIV

被引:3
作者
D'Eca Junior, Aurean [1 ]
Costa Rabelo, Poliana Pereira [1 ]
de Oliveira Lopes, Marcos Venicios [2 ]
Rodrigues, Livia dos Santos [3 ]
Lopes, Camila Takao [4 ]
Rosendo da Silva, Richardson Augusto [5 ]
机构
[1] Univ Fed Maranhao, Nursing Dept, Portugueses Ave 1966, Sao Luis, Maranhao, Brazil
[2] Univ Fed Ceara, Nursing Dept, Fortaleza, Ceara, Brazil
[3] Univ Fed Maranhao, Univ Hosp, Nursing, Sao Luis, Maranhao, Brazil
[4] Univ Fed Sao Paulo, Nursing Dept, Sao Paulo, SP, Brazil
[5] Univ Fed Rio Grande do Norte, Nursing Dept, Natal, RN, Brazil
关键词
HIV infections; nursing diagnosis; nursing; validation study; LATENT CLASS ANALYSIS; ANTIRETROVIRAL THERAPY; ADHERENCE; DETERMINANTS; PREVALENCE; ACCURACY; HIV/AIDS;
D O I
10.1111/2047-3095.12367
中图分类号
R47 [护理学];
学科分类号
1011 ;
摘要
Objective Check diagnostic accuracy of the defining characteristics of the nursing diagnosis "Ineffective health self-management" in people living with HIV. Methods Methodological study conducted in a specialized public service for people living with HIV in Northeastern Brazil, between February and April 2021, with a sample of 203 people. Latent class analysis was used to calculate the accuracy measurements of the defining characteristics, as well as the sensitivity and specificity values with their respective 95% confidence intervals. The likelihood ratio test (G(2)) was applied to evaluate the adequacy of the fit of the models obtained (p > 0.05). Results The prevalence of Ineffective health self-management estimated through the latent class model was 67.5%. "Exacerbation of diseases symptoms," "failure to take action that reduces risk factor," "exacerbation of diseases signs," and "ineffective choices in daily living for meeting health goal" had the highest sensitivity values (0.80-0.9429). "Exhibits disease sequelae," "inattentive to diseases signs," and "inattentive to disease symptoms" had the highest specificity values (0.9999-1.0000). Conclusions The useful characteristics for discriminating PLHIV with and without diagnosis are "exacerbation of diseases symptoms," "failure to take action that reduces risk factor," "exacerbation of diseases signs," and "ineffective choices in daily living for meeting health goal." The diagnosis can be confirmed by the indicators "exhibits disease sequelae", "inattentive to diseases signs," and "inattentive to disease symptoms." Implications for nursing practices The study demonstrates the levels of importance of the defining characteristics of "Ineffective health self-management" in people living with HIV contributes to suspicion and accurate diagnostic identification of nurses and researchers.
引用
收藏
页码:13 / 20
页数:8
相关论文
共 34 条
[1]  
[Anonymous], 2002, Statistical Methods in Diagnostic Medicine
[2]   Epidemiology of depressive disorders in people living with HIV in Africa: a systematic review and meta-analysis Burden of depression in HIV in Africa [J].
Bigna, Jean Joel ;
Tounouga, Dahlia Noelle ;
Kenne, Angeladine Malaha ;
Djikeussi, Tatiana K. ;
Foka, Audrey Joyce ;
Um, Lewis N. ;
Asangbeh, Serra Lem ;
Sibetcheu, Aurelie T. ;
Kaze, Arnaud D. ;
Ndangang, Marie S. ;
Nansseu, Jobert Richie .
GENERAL HOSPITAL PSYCHIATRY, 2019, 57 :13-22
[3]   Level of adherence and associated factors among HIV-positive adolescents on antiretroviral therapy in Cameroon [J].
Bongfen, Mbuwir Charlotte ;
Torpey, Kwasi ;
Ganle, John ;
Ankomah, Augustine .
AJAR-AFRICAN JOURNAL OF AIDS RESEARCH, 2020, 19 (04) :269-275
[4]  
Brasil. Minist├a┬rio da Sa├a┬║de,, 2017, PROT CLIN DIR TER MA
[5]  
Brasil. Ministerio da Saude, 2020, EP B HIV AIDS
[6]  
Cardoso, 2015, REV BRASILEIRA TERAP, V9, P26
[7]  
Carneiro, 2015, THESIS U FEDERAL SAO
[8]   Factors influencing adherence to antiretroviral treatment among adults accessing care from private health facilities in Malawi [J].
Chirambo, Lusungu ;
Valeta, Martha ;
Kamanga, Tifiness Mary Banda ;
Nyondo-Mipando, Alinane Linda .
BMC PUBLIC HEALTH, 2019, 19 (01)
[9]  
Collins L.M., 2013, Latent class and latent transition analysis: With applications in the social, behavioral, and health sciences, DOI DOI 10.1002/9780470567333
[10]  
Collins L. M., 2010, LATENT CLASS LATENT