Knowledge and perceptions about generic drugs by users of PSF in triple borders

Cicchelero, Laiz Mangini; Toninato, Ana Paula Contiero; Silva, Rosane Meire Munhak da; Faller, Jossiana Wilke; Rossoni, Diogo Francisco; Domareski, Jackson Luiz; Silva-Sobrinho, Reinaldo Antônio; Zilly, Adriana

doi:10.1590/1414-462X202028020266

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ORIGINAL ARTICLE • Cad. saúde colet. 28 (2) • Apr-Jun 2020 • https://doi.org/10.1590/1414-462X202028020266 copy

Knowledge and perceptions about generic drugs by users of PSF in triple borders

Conhecimento e uso de medicamentos genéricos por usuários do sistema único de saúde brasileiro em região de tríplice fronteira

Authorship SCIMAGO INSTITUTIONS RANKINGS

Abstract

Background

The Brazilian Ministry of Health, by the National Policy on Medication, Ordinance 3916 from October 30^th 1998, reinforces the Law of Generics of February 1999 (Law No. 9787 from February 10^th, 1999, aiming, among other things, to reduce the prices and make access to medications easier for population).

Objective

The main objective was to identify the level of knowledge of the population regarding generic drugs.

Method

Descriptive, quantitative study, with 520 users interviewed in four health care units that implemented the Brazilian Family Health Program. Such units represent four health districts in Foz do Iguaçu, PR, Brazil.

Results

Most of the interviewed know and/or have heard about generic drugs. For many people, the generic drug represents only a more affordable type of medication.

Conclusion

The need for health education to clarify the population’s questions was found, so they could identify and acquire their medication safely and with confidence.

Keywords:
generic drugs; pharmacoepidemiology; Family Health Program

	DS I		DS II		DS III		DS IV		Total
	n=136		n=151		n=142		n=92		n= 520
Variable	N	%	N	%	N	%	N	%	N	%
Gender
Female	100	73.5	107	70.9	102	71.8	50	54.9	359	69.0
Male	36	26.5	44	29.1	40	28.2	41	45.1	161	31.0
Age Group
18-38	53	39.0	86	57.0	50	35.2	40	44.0	229	44.0
39-59	51	37.5	42	27.8	61	43.0	38	41.8	192	37.0
60-80	32	23.5	23	15.2	31	21.8	13	14.3	99	19.0
Monthly Income
≥1 Min. Wage	72	52.9	116	76.8	70	49.3	56	61.5	314	60.4
≥2 Min. Wage	53	39.0	35	23.2	62	43.7	24	26.4	174	33.5
>3 Min. Wage	11	8.1	0	0	10	7.0	11	12.1	32	6.1
Education
Elementary	68	50.0	101	66.9	67	47.2	29	31.9	265	51.0
Middle School	57	41.9	42	27.8	56	39.4	44	48.4	199	38.3
Higher Education	5	3.7	1	0.7	9	6.3	16	17.6	31	6.0
Nothing	6	4.4	7	4.6	10	7.0	2	2.2	25	4.8

	DS I		DS II		DS III		DS IV		Total
	n=136		n=151		n=142		n=92		n= 520
Variable	N	%	N	%	N	%	N	%	N	%
Know/already heard of Generic drugs
Yes	134	98.5	124	82.1	131	92.3	92	100	480	92.3
No	2	1.5	26	17.2	11	7.7	0	0	39	7.5
N/A	0	0	1	0.7	0	0	0	0	1	0.2
If known. who Informed
TV/Radio	54	39.7	56	37.1	46	32.4	62	67.4	218	41.8
Pharmacist	57	41.9	16	10.6	58	40.8	00	00	131	25.1
Doctor	16	11.8	47	31.1	13	09.2	10	10.9	86	16.5
Other	7	5.2	28	18.5	25	17.6	17	18.5	77	14.8
Newspaper	1	0.7	03	2.0	0	0	0	0	4	0.8
Internet	1	0.7	01	0.7	0	0	03	3.2	5	1.0
Has the same Substance
Yes	89	65.4	69	45.7	91	64.1	85	93.4	334	64.2
No	44	32.4	56	37.1	45	31.7	6	6.6	146	28.1
N/A	3	2.2	26	17.2	6	4.2	0	0	40	7.7
Has the same Effect
Yes	86	63.2	97	64.2	90	63.4	83	91.2	357	68.5
No	47	34.6	28	18.5	46	32.4	6	6.6	122	23.4
N/A	3	2.2	26	17.2	6	4.2	2	2.2	42	8.1
Has the same Price
Yes	126	92.6	121	80.1	115	81	88	96,7	425	81,7
No	8	5,9	4	2,6	11	7,7	0	0	53	10,2
N/A	2	1,5	26	17,2	16	11,3	3	3,3	42	8,1
How Generic is Identified
Yellow Stripe	83	61.0	83	55.0	54	38.0	61	66.3	281	53.9
Price	42	30.9	20	13.2	03	02.1	25	27.2	90	17.3
Substance	7	5.2	22	14.6	74	52.1	6	6.5	109	20.9
N/A	4	2.9	26	17.2	11	7.8	0	0	41	7.9
Used in the Past
Yes	120	88.2	92	60.9	115	81.0	82	90.1	409	78.7
No	14	10.3	38	25.2	21	14.8	8	8.8	81	15.6
N/A	2	1.5	21	13.9	6	4.2	1	1.1	30	5.8
Long term use of generics
Yes	66	48.5	54	35.8	64	45.1	52	56.5	236	45.3
No	68	50.0	80	52.9	73	51.4	40	43.5	261	50.1
N/A	2	1.5	17	11.3	05	3.5	0	0	24	4.6
Doctors prescribed Generic Drugs
No	90	66.2	65	43.1	60	42.3	13	14.1	228	43.8
1 to 2	40	29.4	86	56.9	69	48.6	63	68.5	258	49.5
3 or more	5	3.7	0	00	9	6.3	16	17.4	30	5.8
N/A	1	0.7	0	00	4	2.8	0	0	5	1.0
Where medicine is acquired
Health center	75	55.1	111	73.5	118	83.1	59	64.8	363	69.8
Purchase	61	44.9	40	26.5	24	16.9	32	35.2	157	30.2
How many purchased per month
Non	20	14.7	45	29.8	38	26.8	14	15.2	117	22.5
1 to 3	98	72.1	97	64.2	101	71.1	72	78.3	368	70.6
4 or more	18	13.2	9	06.0	3	2.1	6	6.5	36	6.9
Has compared BrandX-Generic
Yes	88	64.7	70	46.4	111	78.2	78	84.8	347	66.6
No	46	33.8	53	35.1	22	15.5	14	15.2	135	25.9
N/A	2	1.5	28	18.5	9	6.3	0	00	39	7.5
Trusts Generic
Yes	98	72.1	105	69.5	93	65.5	88	96.7	384	73.8
No	35	25.7	26	17.2	38	26.8	3	3.3	96	18.5
N/A	3	2.2	20	13.2	11	07.7	0	0	40	7.7
Accepts the interchange-ability
Yes	101	74.3	115	76.2	66	46.5	85	93.4	354	68.1
No	32	23.5	17	11.3	64	45.1	6	6.6	125	24.0
N/A	3	2.2	19	12.6	12	8.5	0	0	41	7.9

	DS I			DS II			DS IV			Total
	n=136			n=151			n=92			n= 520
Variable	N	%	*P value*	N	%	*P Value*	N	%	*P Value*	N	%
Gender			0.81			0.08			3.47^-9
Female	100	73.5		107	70.9		50	54.9		359	69.0
Male	36	26.5		44	29.1		41	45.1		161	31.0
Monthly Income			0.09			0.03			0.98
≥1 Min. Wage	72	52.9		116	76.8		56	61.5		314	60.4
≥2 Min. Wage	53	39.0		35	23.2		24	26.4		174	33.5
>3 Min. Wage	11	8.1		0	0		11	12.1		32	06.2
If known. who Informed			0.38			0.02			0.99
TV/Radio	54	39.7		56	37.1		62	67.4		218	41.8
Pharmacist	57	41.9		16	10.6		0	00		131	25.1
Doctor	16	11.8		47	31.1		10	10.9		86	16.5
Other	7	5.2		28	18.5		17	18.5		77	14.8
Newspaper	1	0.7		3	2.0		0	0		4	0.8
Internet	1	0.7		1	0.7		3	3.2		5	1.0
Has the same Effect			5.21^-16			5.36^-7			0.88
Yes	86	63.2		97	64.2		83	91.2		357	68.5
No	47	34.6		28	18.5		6	6.6		122	23.4
N/A	3	2.2		26	17.2		2	2.2		42	8.1
How many purchased per month			0.03			0.17			0.87
None	20	14.7		45	29.8		14	15.2		117	22.5
1 to 3	98	72.1		97	64.2		72	78.3		368	70.6
4 or more	18	13.2		9	6.0		6	6.5		36	6.9
Has compared BrandX-Generic			0.93			0.02			0.85
Yes	88	64.7		70	46.4		78	84.8		347	66.6
No	46	33.8		53	35.1		14	15.2		135	25.9
N/A	2	1.5		28	18.5		0	0		39	7.5
Accepts the interchange-ability			0.002			0.90			0.98
Yes	101	74.3		115	76.2		85	93.4		354	68.1
No	32	23.5		17	11.3		6	6.6		125	24.0
N/A	3	2.2		19	12.5		0	0		41	7.9

	DS I			DS II			DS IV			Total
	n=136			n=151			n=92			n= 520
Variable	N	%	*P value*	N	%	*P value*	N	%	*P value*	N	%
Gender			0.60			0.28			3.47^-9
Female	100	73.5		107	70.9		50	54.9		359	69.0
Male	36	26.5		44	29.1		41	45.1		161	31.0
If known. who informed			0.44			0.02			0.99
TV/Radio	54	39.7		56	37.1		62	67.4		218	41.8
Pharmacist	57	41.9		16	10.6		00	00		131	25.1
Doctor	16	11.8		47	31.1		10	10.9		86	16.5
Other	07	05.2		28	18.5		17	18.5		77	14.8
Newspaper	1	0.7		3	2.0		0	0		4	0.80
Internet	1	0.7		1	0.7		3	3.2		5	1.0
Has the same effect			1.21^-10			5.36^-7			0.88
Yes	86	63.2		97	64.2		83	91.2		357	68.5
No	47	34.6		28	18.5		6	6.6		122	23.4
N/A	3	2.2		26	17.3		2	2.2		42	8.1
How is Generic identified			0.23			0.007			1.11
Yellow Stripe	83	61.0		83	55.0		61	66.3		281	53.9
Price	42	30.9		20	13.2		25	27.2		90	17.3
Substance	7	5.2		22	14.6		6	6.5		109	20.9
N/A	4	2.9		26	17.2		0	00		41	7.9
Doctors prescribed Generic Drugs			0.04			0.76			1.00
No	90	66.2		65	43.1		13	14.1		228	43.8
1 to 2	40	29.4		86	56.9		63	68.5		258	49.5
3 or more	5	3.7		0	0		16	17.4		30	5.7
N/A	1	0.7		0	0		0	0		5	1.0
Where is medicine acquired			0.94			0.01			1.11
Health center	75	55.1		111	73.5		59	64.8		363	69.8
Purchase	61	44.9		40	26.5		32	35.2		157	30.2
Accepts the interchangeability			4.29^-7			0.07			0.98
Yes	101	74.3		115	76.2		85	93.4		354	68.1
No	32	23.5		17	11.2		6	6.6		125	24.0
N/A	3	2.2		19	12.6		0	0		41	7.9

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[1] Correspondence: Adriana Zilly. E-mail: aazilly@hotmail.com