Background: With economic development, aging of the population, improved insurance coverage, and the absence of a formal referral system, bypassing primary healthcare facilities appear to have become more common. Chinese patients tend to visit the secondary or tertiary healthcare facilities directly leading to overcrowding at the higher-level facilities. This study attempts to analyze the factors associated with bypassing primary care facilities among patients of age 45 years or older in China. Methods: Random effects logistic models were used to examine bypassing of primary health facilities among rural-urban patients. Data from 2011 to 2015 waves of the China Health and Retirement Longitudinal Study were used. Results: Two in five older patients in China bypass primary health centers (PHC) to access care from higher-tier facilities. Urban patients were nearly twice as likely as rural patients to bypass PHC. Regardless of rural-urban residence, our analysis found that a longer travel time to primary facilities compared to higher-tier facilities increases the likelihood of bypassing. Patients with higher educational attainment were more likely to bypass PHCs. In rural areas, patients who reported their health as poor or those who experienced a recent hospitalization had a higher probability of bypassing PHC. In urban areas, older adults (age 65 years or older) were more likely to bypass PHC than the younger group. Patients with chronic conditions like diabetes also had a higher probability of bypassing. Conclusions: The findings indicate the importance of strengthening the PHCs in China to improve the efficiency and effectiveness of the health system. Significantly lower out-of-pocket costs at the PHC compared to costs at the higher tiers had little or no impact on increasing the likelihood of utilizing the PHCs. Improving service quality, providing comprehensive person-centered care, focusing on family health care needs, and providing critical preventive services will help increase utilization of PHCs as well as the effectiveness and efficiency of the health system.

Utilization of Antenatal Care (ANC) is very low in Nigeria. Self-reported patient satisfaction may be useful to identify provider- and facility-specific factors that can be improved to increase ANC satisfaction and utilization. Exit interview data collected from ANC users and facility assessment survey data from 534 systematically selected facilities in four northern Nigerian states were used. Associations between patient satisfaction (satisfied, not-satisfied) and patient ratings of the provider’s interactions, care processes, out-of-pocket costs, and quality of facility infrastructure were studied. Of 1336 mothers, 90% were satisfied with ANC. Patient satisfaction was positively associated with responsive service (prompt, unrushed service, convenient clinic hours and privacy during consultation, AOR 2.42, 95% CI 2.05–2.87), treatment-facilitation (medical care-related provider communication and ease of receiving medicines, AOR 2.03, 95% CI 1.46–2.80), equipment availability (AOR 1.10, 95% CI 1.01–1.21), staff empathy (AOR 1.82, 95% CI 1.03–3.23), non-discriminatory treatment regardless of patient’s socioeconomic status (AOR: 1.87, 95% CI 1.09–3.22), provider assurance (courtesy and patient’s confidence in provider’s competence, AOR 1.48, 95% CI 1.26–1.75), and number of clinical examinations received (AOR 1.28, 95% CI 1.10–1.50). ANC satisfaction was negatively impacted by out-of-pocket payment for care (vs. free care, AOR 0.44, 95% CI 0.23–0.82). ANC satisfaction in Nigeria may be enhanced by improving responsiveness to clients, clinical care quality, ensuring equipment availability, optimizing easy access to medicines, and expanding free ANC services.

Portal use has been studied among outpatients, but its utility and impact on inpatients is unclear. This study describes portal adoption and use among hospitalized cancer patients and investigates associations with selected safety, utilization, and satisfaction measures. A retrospective review of 4594 adult hospitalized cancer patients was conducted between 2012 and 2014 at Mayo Clinic in Jacksonville, Florida, comparing portal adopters, who registered for a portal account prior to hospitalization, with nonadopters. Adopters were classified by their portal activity during hospitalization as active or inactive inpatient users. Univariate and several logistic and linear regression models were used for analysis. Of total patients, 2352 (51.2%) were portal adopters, and of them, 632 (26.8%) were active inpatient users. Portal adoption was associated with patients who were young, female, married, with higher income, and had more frequent hospitalizations (P < .05). Active inpatient use was associated with patients who were young, married, nonlocals, with higher disease severity, and were hospitalized for medical treatment (P < .05). In univariate analyses, self-management knowledge scores were higher among adopters vs nonadopters (84.3 and 80.0, respectively; P = .01) and among active vs inactive inpatient users (87.0 and 83.3, respectively; P = .04). In regression models adjusted for age and disease severity, the association between portal behaviors and majority of measures were not significant (P > .05). Over half of our cancer inpatients adopted a portal prior to hospitalization, with increased adoption associated with predisposing and enabling determinants (eg: age, sex, marital status, income), and increased inpatient use associated with need (eg: nonlocal residence and disease severity). Additional research and greater effort to expand the portal functionality is needed to impact inpatient outcomes.

The Government of Turkey has initiated a series of major health reforms in 2003 with an objective of increasing access to health care services and improving efficiency of public and private hospitals. This study attempts to understand the technical efficiency of public and private hospitals in Turkey to better guide hospital reform. We use data from 1079 public and private hospitals and translog stochastic production frontier was adopted to estimate technical inefficiency of hospitals. Results indicate that there is no statistically significant difference in the degree of inefficiency of hospitals by geographic location or its level of economic development. Efficiency scores vary significantly across hospital types with Ministry of Health (MoH) General Hospitals being the most efficient followed by MoH teaching hospitals. Better performance of MoH hospitals may be due to successful implementation of 2003 health reforms in Turkey, which intended to improve resource utilization within and across MoH hospitals. Among MoH hospital types, integrated county hospitals were the least efficient. Since the hospital outcome measure did not include the value of medical training, efficiency scores of university hospitals became relatively low. Wide variability of efficiency scores of private general hospitals implies the existence of both highly efficient and inefficient hospitals in the private sector. Efficiency differences of various hospital types can be leveraged to guide future reforms by emphasizing the strengths of general hospitals and improving the referral system from county hospitals to general hospitals. Encouraging resource sharing across hospitals, as being done by the 2011 reforms, should further improve hospital efficiency. Promoting private hospitals may not necessarily be efficiency enhancing due to high variability of private hospitals in terms of efficiency scores. Similarly, implementation of common productivity standards and quality control measures are likely to improve hospital technical efficiency scores further.