Risk of hospitalization of elderly rural workers in the state of Rio Grande do Sul

: A cross-sectional, population-based study was carried out of retired rural workers (N=604), over 60 years of age, of both genders, selected by clusters. In order to evaluate the risk of hospitalization, the Probability of Repeated Hospitalization (or PIR) instrument validated and evaluated for Brazil was used. Risk of hospitalization was calculated through logistic regression analysis, and was classified into the following strata: low (<0.300); medium (0.300-0.399); medium-high (0.400-0.499) and high (≥0.500).

Results

: The rural elderly persons surveyed had a low risk of hospitalization (n=553; 91.6%). There was a predominance of men among the medium to high risk categories (n=42; 82.3%), distributed mainly in the Santa Maria, Sul and Camaquã regions.

Conclusion:

The results of the present study suggest a low risk of hospitalization among this population, however, there is a need for improved, more profound and robust research into the identification of factors associated with the health specificities of this population.

Keywords:
Hospitalization; Patient Readmission; Health of the Elderly; Rural Population

Authorship

Jorge Luiz de Andrade Trindade

Universidade Federal do Rio Grande do Sul, Escola de Educação Física, Fisioterapia e Dança, Programa de Pós-graduação em Ciências do Movimento Humano. Porto Alegre, Rio Grande do Sul, Brasil.Universidade Federal do Rio Grande do SulBrazilPorto Alegre, Rio Grande do Sul, BrazilUniversidade Federal do Rio Grande do Sul, Escola de Educação Física, Fisioterapia e Dança, Programa de Pós-graduação em Ciências do Movimento Humano. Porto Alegre, Rio Grande do Sul, Brasil.

https://orcid.org/0000-0002-6864-158X

Alan Silva Schukes

Universidade Feevale, Instituto de Ciências da Saúde, Curso de Educação Física. Novo Hamburgo, Rio Grande do Sul, Brasil.Universidade FeevaleBrazilNovo Hamburgo, Rio Grande do Sul, BrazilUniversidade Feevale, Instituto de Ciências da Saúde, Curso de Educação Física. Novo Hamburgo, Rio Grande do Sul, Brasil.

https://orcid.org/0000-0003-3491-4735

Marielly de Moraes

Universidade Feevale, Instituto de Ciências da Saúde, Curso de Fisioterapia. Novo Hamburgo, Rio Grande do Sul, Brasil.Universidade FeevaleBrazilNovo Hamburgo, Rio Grande do Sul, BrazilUniversidade Feevale, Instituto de Ciências da Saúde, Curso de Fisioterapia. Novo Hamburgo, Rio Grande do Sul, Brasil.

https://orcid.org/0000-0001-7439-0839

Alexandre Simões Dias

Universidade Federal do Rio Grande do Sul, Faculdade de Medicina, Programa de Pós-graduação em Ciências Pneumológicas. Porto Alegre, Rio Grande do Sul.Universidade Federal do Rio Grande do SulBrazilPorto Alegre, Rio Grande do Sul, BrazilUniversidade Federal do Rio Grande do Sul, Faculdade de Medicina, Programa de Pós-graduação em Ciências Pneumológicas. Porto Alegre, Rio Grande do Sul.

https://orcid.org/0000-0002-0609-4779

Correspondence
Jorge Luiz de Andrade Trindade jorge.trindade@gmail.com

SCIMAGO INSTITUTIONS RANKINGS

Tables

Tables (4)

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Chart 1
Stratification of the probability of repeated admission (PRA) in the population of elderly retired rural workers. Rio Grande do Sul (N=604), 2017-2018.

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Table 1
Distribution of risk factors for hospital admission in the elderly rural population of Rio Grande do Sul (N=604), 2017 and 2018.

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Table 2
Distribution of the elderly rural population of Rio Grande do Sul, in relation to hospital admission risk variables, by gender (N=604), 2017 and 2018.

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Table 3
Distribution of Probability of Repeated Admission (PIA) in relation to the regions of residence of the elderly retired rural workers in the state of Rio Grande do Sul (N=604), 2017 and 2018.

Chart 1 Stratification of the probability of repeated admission (PRA) in the population of elderly retired rural workers. Rio Grande do Sul (N=604), 2017-2018.

Stratification of Risk	Probability of Repeated Admission (PRA)	n (%)
High	≥0.500	2(0.3)
Mean-High	From 0.400 to 0.499	8(1.3)
Mean	From 0.300 to 0.399	41(6.8)
Low	<0.300	553(91.6)
Total		604(100.0)

Table 1 Distribution of risk factors for hospital admission in the elderly rural population of Rio Grande do Sul (N=604), 2017 and 2018.

Risk Factor	Low (<0.300)	Medium (0.300 a 0.399)	Medium-High (0.400 a 0.499)	High (≥0.500)	Total	p ^*
Risk Factor	n (%)	n (%)	n (%)	n (%)	n (%)
Perception of Health
Poor	24 (4.3)	12 (29.3)	4 (50.0)	2 (100)	42 (7.0)
Fair	220 (39.8)	26 (63.4)	4 (50.0)	0 (0.0)	250 (41.4)
Good	252 (45.6)	1 (2.4)	0 (0.0)	0 (0.0)	253 (41.9)	0.001
Very good	39 (7.1)	1 (2.4)	0 (0.0)	0 (0.0)	40 (6.6)
Excellent	18 (3.3)	1 (2.4)	0 (0.0)	0 (0.0)	19 (3.1)
Hospitalization
> 3 times	3 (0.5)	2 (4.9)	1 (12.5)	0 (0.0)	6 (1.0)
2-3 times	16 (2.9)	1 (2.4)	1 (12.5)	0 (0.0)	18 (3.0)
Once	52 (9.4)	11 (26.8)	3 (37.5)	1 (50.0)	67 (11.1)	0.001
None	482 (87.2)	27 (65.9)	3 (37.5)	1 (50.0)	513 (84.9)
Doctor's appointments
> 3 times	140 (25.3)	37 (90.2)	8 (100.0)	2 (100.0)	187 (31.0)	0.001
2 or 3 times	210 (38.0)	4 (9.8)	0 (0.0)	0 (0.0)	214 (35.4)
Once	129 (23.3)	0 (0.0)	0 (0.0)	0 (0.0)	129 (21.4)
None	74 (13.4)	0 (0.0)	0 (0.0)	0 (0.0)	74 (12.2)
Diabetes
Yes	107 (19.3)	17 (41.5)	5 (62.5)	2 (100.0)	131 (21.7)	0.001
No	446 (80.7)	24 (58.5)	3 (37.5)	0 (0.0)	473 (78.3)	0.001
Cardiovascular diseases
Yes	118 (21.3)	26 (63.4)	8 (100.0)	2 (100.0)	154 (25.5)	0.001
No	435 (78.7)	15 (36.6)	0 (0.0)	0 (0.0)	450 (74.5)	0.001
Gender
Male	279 (50.5)	33 (80.5)	7 (87.5)	2 (100.0)	321 (53.1)	0.001
Female	274 (49.5)	8 (19.5)	1 (12.5)	0 (0.0)	283 (46.9)	0.001

*Pearson’s Chi-squared test.

Table 2 Distribution of the elderly rural population of Rio Grande do Sul, in relation to hospital admission risk variables, by gender (N=604), 2017 and 2018.

Variables	Gender			Total	p
	Female		Male
	n	(%)	n (%)	n (%)
Age Range (years)
60-69	154 (54.4)		169 (52.6)	323 (53.4)	0.022
70-79	99 (35.0)		113 (35.2)	212 (35.2)
80+	30 (10.6)		39 (12.1)	69 (11.4)
Health Perception
Excellent	10 (3.5)		9 (2.8)	19 (3.1)
Very good	20 (7.1)		20 (6.2)	40 (6.6)
Good	119 (42.0)		134 (41.7)	253 (41.9)
Fair	111 (39.2)		139 (43.3)	250 (41.4)
Poor	23 (8.1)		19 (5.9)	42 (7.0)
Medical appointment
None	25 (8.8)		49 (15.3)	74 (12.2)
Once	63 (22.3)		66 (20.6)	129 (21.4)
2 or 3 times	98 (34.6)		116 (36.1)	214 (35.4)
> 3 times	97 (34.3)		90 (28.0)	187 (31.0)
Diabetes Mellitus
No	219 (77.4)		254 (79.1)	473 (78.3)
Yes	64 (22.6)		67 (20.9)	131 (21.7)
Cardiovascular disease
No	205 (72.4)		245 (76.3)	450 (74.5)
Yes	78 (27.6)		76 (23.7)	154 (25.5)
Caregiver
Yes	255 (90.1)		301 (93.8)	556 (92.1)
No	28 (9.9)		20 (6.2)	48 (7.9)
Hospital admission
No	244 (86.2)		269 (83.8)	513 (84.9)
Yes	39 (13.8)		52 (16.2)	91 (15.1)
Probability of Repeated Admission
Low	274 (96.8)		279 (86.9)	553 (91.6)
Medium	8 (2.8)		33 (10.3)	41 (6.8)	0.001
Medium-High	1 (0.4)		7 (2.2)	8 (1.3)
High	0 (0.0)		2 (0.6)	2 (0.3)

Table 3 Distribution of Probability of Repeated Admission (PIA) in relation to the regions of residence of the elderly retired rural workers in the state of Rio Grande do Sul (N=604), 2017 and 2018.

Regional branches*	Low (<0.300)	Mean (0.300 to 0.399)	Mean-High (0.400 to 0.499)	High (≥0,500)	Total	p
Regional branches*	n (%)	n (%)	n (%)	n (%)	n (%)
Médio e Alto Uruguai	147 (26.6)	6 (14.6)	1 (12.5)	0 (0.0)	154 (25.5)	0.003
Passo Fundo	67 (12.1)	5 (12.2)	1 (12.5)	0 (0.0)	73 (12.1)
Litoral (Coast)	48 (8.7)	5 (12.2)	0 (0.0)	0 (0.0)	53 (8.8)
Santa Rosa	48 (8.7)	2 (4.9)	0 (0.0)	0 (0.0)	50 (8.3)
Missões II	47 (8.5)	3 (7.3)	0 (0.0)	0 (0.0)	50 (8.3)
Santa Maria	36 (6.5)	5 (12.2)	3 (37.5)	1 (50.0)	45 (7.4)
Vale do Rio dos Sinos e Serra	43 (7.8)	0 (0.0)	0 (0.0)	0 (0.0)	43 (7.2)
Vale do Rio Pardo e Baixo Jacuí	31 (5.6)	2 (4.9)	0 (0.0)	0 (0.0)	33 (5.4)
Sul (Pelotas)	21 (3.8)	7 (17.1)	2 (25.0)	0 (0.0)	30 (4.9)
Camaquã	23 (4.2)	2 (4.9)	1 (12.5)	1 (50.0)	27 (4.5)
Serra do Alto Taquari	24 (4.3)	2 (4.9)	0 (0.0)	0 (0.0)	26 (4.3)
Fronteira	18 (3.3)	2 (4.9)	0 (0.0)	0 (0.0)	20 (3.3)

*Chi-squared test =60.142; degree of freedom =33; p-value =0.003.

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Risk of hospitalization of elderly rural workers in the state of Rio Grande do Sul

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[1] Correspondence
Jorge Luiz de Andrade Trindade jorge.trindade@gmail.com