Factors affecting patient satisfaction with ecdemic medical care: a cross-sectional study in Nanchang, China

Abstract

PurposeThis study aimed to determine the factors that influence patient satisfaction with ecdemic medical care.Materials and methodsEight hundred and forty-four face-to-face interviews were conducted between October and November 2017 in two high-profile hospitals in Nanchang, China. Patient satisfaction was divided into lowest and highest satisfaction groups according the 80/20 rule. Demographic factors associated with patient satisfaction were identified by logistic regression models.ResultsRespondents’ main reasons for choosing a non-local hospital were “high level of medical treatment” (581/844), “good reputation of the hospital” (533/844), and “advanced medical equipment” (417/844). The top three items that dissatisfied the ecdemic patients were “long time to wait for treatment” (553/844), “complicated formalities” (307/844), and “poor overall service attitude” (288/844). Fewer female patients (adjusted odds ratio [AOR] =1.47, 95% confidence interval [CI] =1.03–2.11), patients with a family per-capita monthly income (FPMI) between 3,001 and 5,000 CNY (AOR =1.40, 95% CI =1.01–2.17), inpatients (AOR =1.46, 95% CI =1.01–2.13), and more patients with an FPMI >7,000 CNY (AOR =0.43, 95% CI =0.20–0.92) were detected in the lowest satisfaction group. Fewer patients with an associate’s or bachelor’s degree (AOR =2.40, 95% CI =1.37–4.20) and patients with an FPMI >7,000 CNY (AOR =3.02, 95% CI =1.10–8.33) were detected in the highest satisfaction group. Moreover, more inpatients (AOR =0.70, 95% CI =0.54–0.97) and those aged 46–65 years (AOR =0.63, 95% CI =0.33–0.98) were detected in the highest satisfaction group.ConclusionFindings suggested that managers of the medical facilities should note the importance of increasing their publicity through a rapidly developing media, as well as the necessity of creating a more patient-friendly medical care experience. Hospitals should also focus on the medical care experience of patients with relatively lower and higher income levels, male ecdemic patients, and ecdemic outpatients.

Outpatient Satisfaction with Tertiary Hospitals in China: The Role of Sociodemographic Characteristics

“…Our results are concordant with previous studies that report lower satisfaction among more educated Chinese patients [5,19,32,34,36]. Our study highlights that dissatisfaction among educated patients may be more related with communication with the provider and hospital environment than process management issues such as waiting times and technology use.…”

“…Gender was the only variable which showed no significant association with any of the individual domains or with overall satisfaction. Indeed, previous studies of Chinese patient satisfaction confirm that the effects of gender on patient satisfaction are highly variable, with some papers showing female outpatients to be more satisfied [28,29,30,31], others showing higher satisfaction in males [5,19,32], and others even reaffirming no difference between male and female patients [14,33].…”

Inpatient satisfaction with nursing care in a backward region: a cross-sectional study from northwestern China

“…The level of patient satisfaction (60.5%) in our study was higher than the results obtained in other areas either in China or elsewhere, such as in Taiwan (35%) 39 Malaysia 22 and 11 western provinces in China (60%) 40 ; however, it was lower than that in Shandong, 41 Jiangxi 42 and other cities in Gansu, China, 33 43 and also in Spain 44 and Australia. 45 This might have been related to differences in sample size, region and the use of a different survey scale.…”

<p>Chinese Hospitalized Cardiovascular Patients’ Attitudes Towards Self-Management: A Qualitative Study</p>

“…55 Social capital could exert effects on patients through knowledge diffusion, informal social control of healthy behavior, healthcare services and amenities access, and emotional or material support and mutual respect receiving. 56 Except for social capital, other contextual characteristics would also be the external obstacles that could influence selfmanagement strategies and health outcomes, for example, factors related to health disparities 57 (economic considerations, education opportunity and so on) and health system responsiveness 58,59 (environmental features, characteristics of the population and so on). It turned out that highly educated participants in this study expressed more fluently and gave more information about their perspectives.…”