Validación de construto y confiabilidad de la versión brasileña de Hypertension Knowledge-Level Scale

Hereibi, Mireille Janczyk; Arthur, Juliana Perez; Mantovani, Maria de Fátima; Mattei, Ângela Taís; Viante, Wendy Julia Mariano; Bortolato-Major, Carina

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Original Article • Rev. Gaúcha Enferm. 42 • 2021 • https://doi.org/10.1590/1983-1447.2021.20190429 copiar

Validación de construto y confiabilidad de la versión brasileña de Hypertension Knowledge-Level Scale

Autoría SCIMAGO INSTITUTIONS RANKINGS

RESUMEN

Objectivo:

Validar el constructo y testar la confiabilidad de la versión brasileña de Hypertension Knowledge-Level Scale.

Método:

Investigación metodológica realizada con 220 participantes de una unidad de salud de atención primaria de Curitiba, Paraná. Los datos se colectaron por medio de un cuestionario sociodemográfico y la versión brasileña de la escala. La validad del constructo y la confiabilidad se avaliaron por medio de los testes Alpha de Cronbach, correlación de Pearson y analisis de la variancia. La validad discriminante se comprobó comparando grupos de hipertensos y no hipertensos por medio del Teste T.

Resultados:

El Alpha de Cronbach fue 0,74. La comparación de grupos comprobó que personas com hypertensión se desempeñaron mejor (p<0,001). La correlación de Pearson indicó que las variables miden diferentes aspectos del mismo constructo, justificando la organización en subdimensiones.

Conclusión:

La versión brasileña de Hypertension Knowledge-Level Scale es un instrumento confiable, con constructo e criterio validados para medir concimiento acerca de la hypertensión em brasileños. La escala puede ayudar profesionales de salud a planear acciones educativas.

Palabras clave:
Estudio de validación; Encuestas y cuestionarios; Hipertensión; Conocimiento

HK-LS Subdimensions	Without arterial hypertension (n=103)	With rterial hypertension (n=117)	p-value*
HK-LS Subdimensions	(Avg±SD)	(Avg±SD)	p-value*
Definition	1.29 ±0.73	1.58±0.66	0.001
Medical treatment	3.32±0.92	3.37±0.73	0.329
Medication adherence	3.33±0.96	2.65±1.24	<0.001
Lifestyle	4.64±0.75	4.82±0.52	0.021
Diet	1.32±0.87	1.58±0.65	0.009
Complications	3.97±1.12	4.82±0.48	<0.001

Scale items	Average	Variance	Resulting Cronbach's Alpha
1) High systolic (maximum) or diastolic (minimum) blood pressure indicates an increase in blood pressure.	31.88	18.30	0.74
2) Elevated (minimum) diastolic blood pressure also indicates an increase in blood pressure.	31.67	17.64	0.73
3) High blood pressure is caused by aging, so it does not need treatment.	31.29	18.89	0.73
4) If the medication for high blood pressure can control blood pressure, there is no need for a change in lifestyle.	31.48	18.52	0.73
5) If people with high blood pressure change their lifestyles, there is no need for treatment.	31.48	18.56	0.73
6) People with high blood pressure should take their medication in the way they consider most appropriate.	31.50	19.10	0.73
7) Medication for high blood pressure should be taken daily.	32.18	19.33	0.73
8) People with high blood pressure should take their medication only when they feel bad.	31.30	19.21	0.73
9) People with high blood pressure should take their medication for the rest of their lives.	31.91	17.66	0.72
10) For people with high blood pressure, frying is the best way to prepare food.	31.27	19.48	0.73
11) For people with high blood pressure, cooking only in water or grilling are the best ways to prepare food.	32.13	18.45	0.72
12) People with high blood pressure can eat food without controlling the amount of salt as long as they take their medication every day.	31.34	19.51	0.73
13) People with high blood pressure should eat fruits and vegetables frequently.	32.18	18.95	0.72
14) he best type of meat for people with high blood pressure is red meat.	31.17	17.63	0.71
15) The best type of meat for people with high blood pressure is white meat.	31.87	16.79	0.71
16) People with high blood pressure should not smoke.	32.19	19.35	0.73
17) People with high blood pressure can drink alcohol at will.	31.28	20.00	0.74
18) If high blood pressure is not treated it can cause stroke/cerebrovascular accident (CVA).	32.19	19.55	0.73
19) If high blood pressure is not treated it can cause a heart attack/infarction	32.23	19.71	0.73
20) If high blood pressure is not treated it can cause early death/anticipate death.	32.17	18.76	0.72
21) If high blood pressure is not treated it can cause the kidneys to stop working.	31.66	15.69	0.70
22) If high blood pressure is not treated it can cause vision problems.	31.89	17.22	0.72

Subdimension	Cronbach's alpha coefficient
Definition	0.52
Medical treatment	0.29
Medication adherence	0.94
Lifestyle	0.84
Diet	0.92
Complications	0.91

Analysis of Variance	Total sum of squares	Quadratic mean	F Test	p-value
Among participants	201.148	0.918
Among the items	653.634	31.125	127.969	<0.01*
Residual	1118.593	0.243
Total	1973.375

	1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	17	18	19	20	21	22
1	1.000	0.356	0.054	0.052	-0.060	-0.043	0.067	0.019	0.079	0.038	0.057	-0.100	-0.032	0.070	0.176	0.096	0.007	0.025	-0.056	0.086	0.164	0.142
2		1.000	0.020	0.086	0.120	0.030	0.214	0.073	0.079	0.092	0.118	0.058	0.041	0.020	0.109	0.140	-0.015	-0.047	-0.025	0.122	0.163	0.174
3			1.000	0.221	0.193	0.070	0.050	0.202	0.152	0.307	0.070	0.245	0.129	0.202	0.147	0.137	0.096	0.050	0.009	0.017	0.089	0.026
4				1.000	0.270	0.254	0.011	0.224	0.122	0.056	0.104	0.190	0.040	0.088	0.116	0.078	0.030	0.144	0.137	0.002	0.214	0.120
5					1.000	0.279	0.066	0.190	0.161	0.053	0.161	0.083	0.181	0.173	0.171	0.026	-0.018	0.224	0.218	0.092	0.057	-0.031
6						1.000	0.055	0.164	0.070	0.133	-0.033	0.152	0.026	0.249	0.129	-0.056	0.029	0.006	-0.040	0.011	0.137	0.105
7							1.000	-0.140	0.262	-0.081	0.237	0.099	0.155	0.021	0.005	-0.038	0.184	-0.042	-0.024	0.253	0.216	0.229
8								1.000	0.120	0.175	0.168	0.119	0.105	0.182	0.110	-0.055	0.051	0.119	0.085	0.067	0.162	0.130
9									1.000	0.041	0.141	-0.044	0.165	0.157	0.185	-0.009	0.113	0.197	0.253	0.306	0.318	0.250
10										1.000	0.164	0.249	0.144	0.275	0.180	0.154	0.153	-0.087	-0.146	0.017	0.016	-0.047
11											1.000	-0.017	0.347	0.266	0.322	0.327	-0.181	0.117	0.124	0.239	0.240	0.234
12												1.000	0.126	0.125	0.062	0.126	0.241	-0.166	-0.101	-0.012	0.101	0.058
13													1.000	0.230	0.292	0.116	0.029	0.085	0.040	0.251	0.266	0.039
14														1.000	0.540	0.163	0.019	-0.000	0.101	0.153	0.248	0.212
15															1.000	0.268	-0.054	-0.058	0.062	0.140	0.268	0.177
16																1.000	-0.119	-0.035	-0.020	-0.038	0.131	0.138
17																	1.000	0.028	0.016	0.156	0.014	-0.094
18																		1.000	0.351	0.387	0.263	0.048
19																			1.000	0.270	0.182	0.193
20																				1.000	0.343	0.220
21																					1.000	0.510
22																						1.000

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[1] Corresponding author:
Mireille Janczyk Hereibi Email: mireille.jh@gmail.com