To identify trends in patient satisfaction adjusted for sociodemographic factors and health status from 1989-2003.

Five repeated cross-sectional surveys were used. The study sample included 290,534 household members 20 years of age and over from the five survey periods of 1989, 1992, 1995, 1999, and 2003. Satisfaction was measured using a five-point scale, ranging from “very satisfied” to “very dissatisfied.” Crude satisfaction rates, representing the proportion of patients satisfied (very satisfied or satisfied), were calculated for each survey period. Satisfaction rates adjusted for age, sex, marital status, education, and selfrated health status were calculated for each of the five years.

Crude satisfaction rates increased from 15.4% in 1989 to 40.5% in 2003. The proportions of satisfaction and dissatisfaction were reversed after 15 years had passed. However, the satisfaction trend was not linear throughout the different years, with 1992 being the year with the lowest satisfaction rate (9.7%). These trends in crude rates did not change even after adjusting for patient characteristics. The odds of satisfaction in 1992 were 38% lower (odds ratio 0.62, 95% CI 0.60 to 0.64) than the odds in 1989. In 2003, the odds of satisfaction were 4.01 times (95% CI 3.89 to 4.13) the odds for 1989. Older, female, married, and less-educated people were more likely to be satisfied. Patients who rated their health as “very good” had the highest satisfaction rate, and those with “neutral” health ratings had the lowest. General hospitals achieved substantial improvement whereas pharmacies became the lowest-rated of all institutions.

The Korean health system has achieved better patient satisfaction rates over the past 15 years. Increased health expenditure, resources, and quality improvement efforts may have contributed to this progress.

Adequate staffing is necessary to meet patient care needs and provide safe, quality nursing care. In November 1999, the Korean government implemented a new staffing policy that differentiates nursing fees for inpatients based on nurse-to-bed ratios. The purpose was to prevent hospitals from delegating nursing care to family members of patients or paid caregivers, and ultimately deteriorating the quality of nursing care services.

To examine nurse staffing levels and related factors including hospital, nursing and medical staff, and financial characteristics.

A cross-sectional design was employed using two administrative databases, Medical Care Institution Database and Medical Claims Data for May 1-31, 2002. Nurse staffing was graded from 1 to 6, based on grading criteria of nurse-to-bed ratios provided by the policy. The study sample consisted of 42 tertiary and 186 general acute care hospitals.

None of tertiary or general hospitals gained the highest nurse staffing of Grade 1 (i.e., less than 2 beds per nurse in tertiary hospitals; less than 2.5 beds per nurse in general hospitals). Two thirds of the general hospitals had the lowest staffing of Grade 6 (i.e., 4 or more beds per nurse in tertiary hospitals; 4.5 or more beds per nurse in general hospitals). Tertiary hospitals were better staffed than general hospitals, and private hospitals had higher staffing levels compared to public hospitals. Large-sized general hospitals located in metropolitan areas had higher staffing than other general hospitals. Occupancy rate was positively related to nurse staffing. A negative relationship between nursing assistant and nurse staffing was found in general hospitals. A greater number of physician specialists were associated with better nurse staffing.

The staffing policy needs to be evaluated and modified to make it more effective in leading hospitals to increase nurse staffing.

This study was done to analyze variations in unit staffing and recommend policies to improve nursing staffing levels in intensive care units (ICUs).

A cross-sectional study design was used, employing survey data from the Health Insurance Review Agency conducted from June-July, 2003. Unitstaffing was measured using two indicators; bed-to-nurse (B/N) ratio (number of beds per nurse), and patient-to-nurse (P/N)ratio (number of average daily patients per nurse). Staffing levels were compared according to hospital and ICU characteristics.

A total of 414 institutions were operating 569 adult and 86 neonatal ICUs. Tertiary hospitals (n=42) had the lowest mean B/N (0.82) and P/N (0.76) ratios in adult ICUs, followed by general hospitals (B/N: 1.34, P/N: 0.97). Those ratios indicated that a nurse took care of 3 to 5 patients per shift. Neonatal ICUs had worse staffing and had greater variations in staffing ratios than adult ICUs. About 17% of adult and 26% of neonatal ICUs were staffed only by adjunct nurses who had responsibility for a general ward as well as the ICU.

Stratification of nurse staffing levels and differentiation of ICU utilization fees based on staffing grades are recommended as a policy tool to improve nurse staffing in ICUs.

This paper reports a study exploring factors related to patient satisfaction and dissatisfaction with inpatient care.

A cross-sectional study design was used, employing data from the National Health and Nutrition Survey conducted in 2001. Socio-demographic factors, utilization, self-rated health status, and disease characteristics were assessed by employing univariate comparisons and multivariate logistic regression analyses.

Out of 37,769 respondents, 1,043 aged 20 years and over had been admitted to a hospital or clinic at least once during the past year. About a quarter of the respondents were discharged from tertiary hospitals and 21% from clinics. The majority of patients (58%) were satisfied with inpatient care received, whereas 11% were dissatisfied. Greater satisfaction was found in patients aged 45-64 years and those having formal education, discharge from tertiary hospitals, national health insurance as a payer, medical expenses not being burdensome, good self-rated health status, and neoplasm. Living in non-metropolitan urban areas, shorter length of stay, and musculoskeletal diseases were associated with greater dissatisfaction.

Different factors were related to patient satisfaction and dissatisfaction with care. Those factors need to be taken into account when evaluating and comparing satisfaction levels between health care institutions.