Factors associated with health care utilization by the elderly in a public health care system

Fernández-Olano, Clotilde; Hidalgo, Jesús Dativo López-Torres; Cerdá-Díaz, R.; Requena-Gallego, M.; Sánchez-Castaño, C.; Urbistondo-Cascales, L.; Otero-Puime, Ángel

doi:10.1016/j.healthpol.2005.02.005

Cited by 104 publications

(96 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Compared to the reference category (male 15-19 years), males 35-44 years old have significantly lower visits and most female groups have significantly higher likelihood of visiting their GPs over the last 12 months. Consistent with the previous literature, the frequency of physician visits is clearly responsive to need, proxied by morbidity (Idler & Ronald, 1990;Idler & Benyamini, 1997;de Boer et al, 1997;Burstrom & Fredlund, 2001;Al Windi et al, 2002;Fernandez-Olano et al, 2006). The estimated effects for fairly good and not good general health and presence of limiting longstanding illness are all positive and significant at the 1% level, compared to those in good health without any longstanding illness.…”

Section: Determinants Of Gp Visitssupporting

confidence: 82%

How Do the Determinants of Demand for GP Visits Respond to Higher Supply? An Analysis of Grouped Counts

Teckle¹,

Sutton

2008

Swiss J Economics Statistics

View full text Add to dashboard Cite

Summary Although there is a substantial literature on the determinants of demand for primary care, few studies have been able to examine how these determinants respond to higher supply. Some demand studies include supply variables or regional dummy variables to allow for different supply conditions. A few have tested for marginal effects of supply variables attributed at a highly aggregated geographic level. However, relatively little is known about whether there is a supply constraint and how demand responses differ across population groups. We used information from a household survey of 60,806 individuals for whom we had detailed information on supply and access conditions. As in many surveys, the annual measure of utilisation is a grouped count and we estimate a grouped negative binomial model (NegBin2) of the determinants of demand for general practitioner (GP) visits by Maximum Likelihood. We exploit a variable on which respondents were asked to report the convenience with which they were able to access GP services. We demonstrate the significance of this variable in determining the number of GP visits. We then examine which demand determinants are correlated with reported convenience. Finally, we compare the demand equations for respondents reporting unconstrained access to GPs with respondents reporting constrained access. We find that being unemployed has a significant positive effect on GP visits for individuals who reported poor access. People who own a car and reported a good access to GPs have significantly higher visits.

show abstract

Section: Determinants Of Gp Visitssupporting

confidence: 82%

How Do the Determinants of Demand for GP Visits Respond to Higher Supply? An Analysis of Grouped Counts

Teckle¹,

Sutton

2008

Swiss J Economics Statistics

View full text Add to dashboard Cite

show abstract

“…8,21 In other researches, those with a lower income utilized health service more. 27,35 Turkiye Klinikleri J Med Sci 2010;30 (2) In our study, on the other hand, mean application -unlike application rates-decreased significantly as monthly income increased (Table 3). As known, income level is one of the important indicators for socioeconomic status and there was a positive correlation between a higher income level and well-being.…”

Section: Ci: Confidence Intervalmentioning

confidence: 45%

“…Contrary to the many literature surveys; [27][28][29][30][31] being male was observed as an important determinant for health services utilization and men applied to a health care institution two times more than women (Table 1). In a country as Turkey, men play a paramount role in determining the health needs of a woman.…”

Section: Ci: Confidence Intervalmentioning

confidence: 66%

Factors Associated with Health Services Utilization by the General Population in the Center of Kayseri, Turkey

Şenol¹,

Çetinkaya²,

Balcı³

2010

Turkiye Klinikleri J Med Sci

View full text Add to dashboard Cite

A AB BS S T TR RA AC CT T O Ob bj je ec ct ti iv ve e: : Pre vi o us stu di es ha ve re ve a led the so ci al, eco no mic, and psycho lo gi cal fac tors that inf lu en ce con sul ting be ha vi o ur; ho we ver the he alth ser vi ces uti li za ti on by the ge ne ral po pu la ti on are seldomly stu di ed. The aim of this study was to exa mi ne the le vel of he alth ser vi ces uti li za ti on and the ef fects of pre dis po sing, enab ling, and ne ed fac tors on Tur kish ge ne ral po pu la ti on. M Ma at te er ri ia al l a an nd d M Me et t h ho od ds s: : This cross-sec ti o nal study was per for med on se ven pub lic he alth cen ters (PHCs) which we re se lec ted among 21 PHCs in the cen ter of Kay se ri bet we en 2005 and 2006. The study po pu la ti on was com pri sed of 1880 ho use hold mem bers who we re se lec ted by a stra ti fi ed ran dom samp ling met hod. Ho u se hold mem bers we re inter vi e wed with a fa ce-to-fa ce met hod in the ir ho mes by me ans of a qu es ti on na i re. Pre dic tors of he alth ser vi ces uti li za ti on inc lu ded pre dis po sing, enab ling, and ne ed fac tors. The qu an ti ta ti ve va ri ab les we re summa ri zed as me ans ± stan dard de vi a ti ons. Com pa ri sons ma de among the gro ups we re per for med using in depen dent samp les t-test and one-way analy sis of va ri an ce (ANO VA). Mul tip le li ne ar reg res si on analy sis was used to mo del the ef fects of pre dic tor-fac tors spe ci fi ed in the An der sen Mo del of he alth ser vi ces uti li za tion. R Re e s su ul lt ts s: : In the last ye ar, ra te of he alth ser vi ces uti li za ti on was 79.6% and the me an vi sit num ber was 5.0 ± 5.4. The ra te of app li ca ti ons to the sta te hos pi tals was hig her (49.9%) than tho se of pri va te me di cal ins ti tu ti ons (13.2%). Pre dis po sing fac tors: Be ing mar ri ed 4.9 ti mes, be ing ma le 1.9 ti mes; enab ling fac tors: Ab sen ce of so ci al in su ran ce co ve ra ge 2.2 ti mes, suf fi ci ent monthly in co me 2.4 ti mes and clo se ness (< 500 met ers) 1.7 ti mes; ne ed fac tors: Po or per cep ti on he alth 1.7 ti mes and pre sen ce of chro nic di se a se 2.5 ti mes, ha ve a hig her pro ba bi lity of using the he alth ser vi ces. C Co on nc c l lu u s si i o on n: : Be ing mar ri ed, ha ving a go od fa mily inco me and chro nic di se a se we re the most im por tant pre dic tors on uti li za ti on of he alth ser vi ces. Ha ving poor per ce i ved he alth was al so mo re clo sely as so ci a ted with he alth ser vi ces uti li za ti on. K Ke ey y W Wo or rd ds s: : He alth ser vi ces mi su se; ca u sa lity; he alth sta tus Ö ÖZ ZE ET T A Am ma aç ç: : Da ha ön ce ya pı lan ça lış ma lar da baş vu ru dav ra nı şı nı sos yal, eko no mik ve psi ko sos yal fak tör lerin et ki le di ği gös te ril miş, an cak ge nel po pü las yon da sağ lık hiz me ti kul la nı mı üze rin de na di ren du rul muş tur. Bu ça lış ma nın ama cı ge nel po pu las yon da sağ lık hiz me ti kul la nım dü ze yi ni, ha zır la yı cı, ko lay laş tı rı cı ve gerek si nim fak tör le ri nin et ki le ri ni in ce le...

show abstract

“…15 Perceived poor health (poor SRH) prompts a complex cognitive process that is required for health care utilization. 16,17 While a wide range of psychosocial factors such as awareness, trust, stigma, access, and insurance influence health care utilization, 18 individuals would not seek help unless they perceive their own health as poor. 10,[15][16][17][18][19][20][21][22] Given the critical role of SRH in the process of health care use, 23 there is a need to better understand what physical and mental SRH actually measure across ethnic groups.…”

Section: Introductionmentioning

confidence: 99%

“…16,17 While a wide range of psychosocial factors such as awareness, trust, stigma, access, and insurance influence health care utilization, 18 individuals would not seek help unless they perceive their own health as poor. 10,[15][16][17][18][19][20][21][22] Given the critical role of SRH in the process of health care use, 23 there is a need to better understand what physical and mental SRH actually measure across ethnic groups. 12,[25][26][27][28][29] The degree by which SRH reflects psychological distress 25 and chronic medical and mental disorders 1,2,12-14 may differ from one ethnic group to another.…”

Section: Introductionmentioning

confidence: 99%

Demographic and Socioeconomic Determinants of Physical and Mental Self-rated Health Across 10 Ethnic Groups in the United States

Assari

Lankarani

2017

Int j epidemiol res

View full text Add to dashboard Cite

show abstract

Factors associated with health care utilization by the elderly in a public health care system

Cited by 104 publications

References 22 publications

How Do the Determinants of Demand for GP Visits Respond to Higher Supply? An Analysis of Grouped Counts

How Do the Determinants of Demand for GP Visits Respond to Higher Supply? An Analysis of Grouped Counts

Factors Associated with Health Services Utilization by the General Population in the Center of Kayseri, Turkey

Demographic and Socioeconomic Determinants of Physical and Mental Self-rated Health Across 10 Ethnic Groups in the United States

Contact Info

Product

Resources

About