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.

The purpose of this study is to identify the influencing factors of mother-infant attachment and construct a descriptive model that explains mother-infant attachment during the early postpartum period.

The hypothetical model of this study consisted of 8 variables with 23 constructed paths. The subjects of this study were 152 postpartum women. Data was analyzed to test the hypothetical model using covariance structure analysis.

The final model which is modified from the hypothetical model improved to Chi-Square 41.92, GFI .95, AGFI .89, RMSR .02, RMSEA .06, NFI .94, and NNFI .95. Mother-infant attachment during the early postpartum period was proven to be influenced directly by neonatal perception, maternal sensitivity, and maternal-fetal attachment and also indirectly by social support, maternal-fetal attachment and maternal identity. These variables accounted for 32% of the variance of the mother-infant attachment during the early postpartum period.

It is necessary that the nurses provide postpartum women with an intervention using social support for improving maternal identity and alleviating maternal role strain. It can be helpful to improve maternal sensitivity and in the end it will facilitate the mother-infant attachment during postpartum period.

This cross-sectional survey was conducted to describe the sexuality of Korean women after menopause using a national sample, and to examine relationships between the sexuality and demographic, body mass index, and life style factors including smoking, alcohol use, and physical activity.

From Dec. 20, 1998 to April 30, 1999, 2196 naturally postmenopausal women aged between 41 and 65 years were recruited by a disproportional stratified random sampling method from 7 metropolitans and 6 provinces in Korea. The questionnaire was used to obtain information on the demographic characteristics, life style factors, body mass index, and sexual activities.

The findings show that the frequency of intercourse after menopause decreased among most of postmenopausal Korean women (64.5%). The frequency of women reported their sexual activity as satisfactory was higher among women doing physical activity, not smoking, with higher educational status, with middle socioeconomic status, without sleep disturbance, with lower body mass index, and with good subjective health status.

Further studies need to be designed as the longitudinal studies with larger random samples and better measures of sexuality.

The purpose of this study was to identify the influences of oral health behaviors, depression, and stress on periodontal disease in pregnant women.

The participants in this study were 129 pregnant women. Data were collected using questionnaires which included individual characteristics, oral health care behaviors, the Center for Epidemiological Studies-Depression scale (CES-D), a global measure of perceived stress, and pregnancy stress. A dentist measured periodontal probing depth and classified stages of periodontal disease according to the Community Periodontal Index (CPI). Data were analyzed using descriptive statistics, Pearson correlation, and multiple regression.

Periodontal disease had significant correlations with oral health care behaviors (r=-.56, p <.001), perceived stress (r=.44 p <.001), pregnancy stress (r=.37 p <.001), diet (r=-.33, p <.001) and depression (r=.18 p =.046). Factors influencing periodontal disease for these pregnant women were being in the 2nd (β=.27, p <.001) or 3rd trimester (β=.45, p <.001), having a pregnancy induced disease (β=.20, p =.002), performing higher oral health behaviors (β=-.30, p <.001), and having higher perceived stress (β=.17, p =.028). The explanation power of this regression model was 61.6% (F=15.52, p <.001).

The findings of this study indicated that periodic assessment of periodontal disease is essential for pregnant women who are in 2nd or 3rd trimester and have pregnancy induced diseases. Enhancing oral health care behaviors and reducing perceived stress are indicated as effective strategies to reduce periodontal disease in pregnant women.

To examine geographical imbalances by analyzing new graduate nurses' migration patterns among regions where they grew up, attended nursing school, and had their first employment and to identify factors related to working in non-metropolitan areas.

The sample consisted of 507 new graduates working in hospitals as full-time registered nurses in South Korea. Migration patterns were categorized into 5 patterns based on sequential transitions of "geographic origin-nursing school-hospital." Multiple logistic regression analysis was conducted to identify factors associated with working in non-metropolitan hospitals.

Nurses who grew up, graduated, and worked in the same region accounted for the greatest proportion (54%). Sixty-five percent had their first employment in the region where they graduated. Nurses tended to move from poor to rich regions and from non-metropolitan to metropolitan areas. Working in non-metropolitan hospitals was related to older age, the father having completed less than 4 years of college education, non-metropolitan origin, non-capital city school graduation, and a diploma (vs. baccalaureate) degree.

Admitting students with rural backgrounds, increasing rural nursing school admission capacities, and providing service-requiring scholarships, particularly for students from low-income families, are recommended to address geographical imbalances.

This study was done to examine relationships between nurse staffing level and postsurgical patient outcomes using inpatient database from the National Health Insurance.

Records of 111,491 patients who received one of 12 types of surgery between January and December, 2009 were identified and analyzed in this study. Nurse staffing level was measured using adjusted nurse staffing grades from 0 to 7. Patient outcomes were defined as in-hospital mortality, or pneumonia, sepsis, or urinary tract infection after surgery. Logistic regression analyses estimated by Generalized Estimation Model, were used to analyze the association between nurse staffing level and patient outcomes.

An inverse relationship was found between nurse staffing and patient mortality. Compared with patients who were cared for in hospitals with the highest nurse staffing (Grades 0-1), increases in the odds of dying were found in those with Grades 6-7 [OR (odds ratio)= 2.99, 95% CI (confidence interval)= 1.94-4.60], those with Grades 4-5 (OR= 1.78, 95% CI= 1.24-2.57) and those with Grades 2-3 (OR= 1.57, 95% CI= 1.25-1.98). Lower nurse staffing level was also associated with higher number of cases in pneumonia and sepsis.

Policies for providing adequate nurse staffing is required to enhance quality of care and lead to better perioperative patient outcomes.

The purpose of this study was to test whether pre-operative visual information and parental presence had positive effects on anxiety, delirium, and pain in pediatric patients who awoke from general anesthesia in a post-surgical stage.

This study used a non equivalent control-group post test design (n=76). Independent variables were provision of pre-operative visual information and parental presence for post-surgical pediatric patients in PACU (post anesthesia care unit). Dependent variables were anxiety, delirium, and pain in the pediatric patients measured three times at 10 minute intervals after extubation in the PACU. Measurements included Numerical Rating Scale for assessing state anxiety, Pediatric Anesthesia Emergence Delirium Scale by Sikich & Lerman (2004) for delirium, and Objective Pain Scale by Broadman, Rice & Hannallah (1988) for pain.

Experimental group showed significantly decreased state anxiety at time points-10, 20, and 30 minutes after extubation. Delirium was significantly lower at 10 minutes and 30 minutes after extubation in the experimental group. Pain was significantly lower at 10 minutes after extubation in the experimental group.

The results of this study suggest that this intervention can be a safe pre-operative nursing intervention for post-surgical pediatric patients at PACU.

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.