BACKGROUND: As health services research (HSR) expands across the globe, researchers will adopt health services and health worker evaluation instruments developed in one country for use in another. This paper explores the cross-cultural methodological challenges involved in translating HSR in the language and context of different health systems. OBJECTIVES: To describe the pre-data collection systematic translation process used in a twelve country, eleven language nursing workforce survey. DESIGN AND SETTINGS: We illustrate the potential advantages of Content Validity Indexing (CVI) techniques to validate a nursing workforce survey developed for RN4CAST, a twelve country (Belgium, England, Finland, Germany, Greece, Ireland, Netherlands, Norway, Poland, Spain, Sweden, and Switzerland), eleven language (with modifications for regional dialects, including Dutch, English, Finnish, French, German, Greek, Italian, Norwegian, Polish, Spanish, and Swedish), comparative nursing workforce study in Europe. PARTICIPANTS: Expert review panels comprised of practicing nurses from twelve European countries who evaluated cross-cultural relevance, including translation, of a nursing workforce survey instrument developed by experts in the field. METHODS: The method described in this paper used Content Validity Indexing (CVI) techniques with chance correction and provides researchers with a systematic approach for standardizing language translation processes while simultaneously evaluating the cross-cultural applicability of a survey instrument in the new context. RESULTS: The cross-cultural evaluation process produced CVI scores for the instrument ranging from .61 to .95. The process successfully identified potentially problematic survey items and errors with translation. CONCLUSIONS: The translation approach described here may help researchers reduce threats to data validity and improve instrument reliability in multinational health services research studies involving comparisons across health systems and language translation.

BACKGROUND: Current human resources planning models in nursing are unreliable and ineffective as they consider volumes, but ignore effects on quality in patient care. The project RN4CAST aims innovative forecasting methods by addressing not only volumes, but quality of nursing staff as well as quality of patient care.

METHODS/DESIGN: A multi-country, multilevel cross-sectional design is used to obtain important unmeasured factors in forecasting models including how features of hospital work environments impact on nurse recruitment, retention and patient outcomes. In each of the 12 participating European countries, at least 30 general acute hospitals were sampled. Data are gathered via four data sources (nurse, patient and organizational surveys and via routinely collected hospital discharge data). All staff nurses of a random selection of medical and surgical units (at least 2 per hospital) were surveyed. The nurse survey has the purpose to measure the experiences of nurses on their job (e.g. job satisfaction, burnout) as well as to allow the creation of aggregated hospital level measures of staffing and working conditions. The patient survey is organized in a sub-sample of countries and hospitals using a one-day census approach to measure the patient experiences with medical and nursing care. In addition to conducting a patient survey, hospital discharge abstract datasets will be used to calculate additional patient outcomes like in-hospital mortality and failure-to-rescue. Via the organizational survey, information about the organizational profile (e.g. bed size, types of technology available, teaching status) is collected to control the analyses for institutional differences.This information will be linked via common identifiers and the relationships between different aspects of the nursing work environment and patient and nurse outcomes will be studied by using multilevel regression type analyses. These results will be used to simulate the impact of changing different aspects of the nursing work environment on quality of care and satisfaction of the nursing workforce.

DISCUSSION: RN4CAST is one of the largest nurse workforce studies ever conducted in Europe, will add to accuracy of forecasting models and generate new approaches to more effective management of nursing resources in Europe.

In Sweden, increased care in ordinary housing has contributed to a reduction of rooms in sheltered accommodation. The allocation of rooms has become stricter. Only those whose care needs cannot be met in any other ways are allocated such accommodation. The aim was to explore the waiting time between the transfer decision and the accomplishment of the move from the initial form of care to sheltered accommodation as well as whether there were differences in waiting time in relation to certain demographic data. METHOD: 445 decision documents were analysed. Mean and 95% confidence intervals (CI) for waiting time and date of the move to sheltered accommodation were calculated. Differences between mean age and waiting time were analysed using Student's T-test. Effects of age, gender and cohabitation on waiting time were estimated by means of multifactor linear regression. RESULTS: The main finding was that the difference in mean waiting time was shortest when moving from hospital, irrespective of destination. There were no significant differences in waiting time in relation to gender, age or cohabitation. CONCLUSION: The reason for a move was often described by means of abstract standard formulations. There is a need for standardised models and assessment instruments in order to ensure older people's safety and to compare different forms of accommodation.

The objective was to investigate how differences among hospitals in the shift from in-patient care to day surgery and a reduced hospital length of stay affect the sick-leave period for female patients surgically treated for breast cancer. All women aged 18-64 who were diagnosed with breast cancer in 2000 were selected from the National Cancer Register and combined with data from the sick-leave database of the National Social Insurance Board and the National Hospital Discharge Register (N = 1834). A multi-factorial model was fitted to the data to investigate how differences in hospital care practice affected the length of sick-leave. The main output measure was the number of sick-leave days after discharge during the year following surgery. The confounders used included age, type of primary surgical treatment, whether or not lymph node dissection was performed, labour-market status, county, and readmission. Women treated with breast-conserving surgery had a 54.7-day (-71.9 < or = CI(95%) < or = -37.5) shorter sick-leave period than those with more invasive surgery. The day-surgery cases had 24.3 (-47.5 < or = CI(95%) < or = -1.1) days shorter sick-leave than those who received overnight care. The effect of the hospital median length of stay (LOS) was U-shaped, suggesting that hospitals with a median LOS that is either short or long are associated with longer sick-leave. In the intermediate range, women treated in hospitals with a median LOS of 2 days had 22 days longer sick-leave than those treated in hospitals with a mean LOS of 3 days. This is possibly a sign of sub-optimising.

In Sweden from 1980 to 1995 there was an overall decrease of 56% in mean length of stay (MLOS) for surgical curative breast cancer treatment. The objective of this study was to separate the possible impact of tumour size and lymph node dissemination and changes in surgical procedures. All women diagnosed (n=13 290) with breast cancer between 1982 and 1995 were selected from the Southern Swedish Tumour Register. Data on LOS, diagnoses, and surgical procedures were obtained from the Swedish Hospital Discharge Register. A multi-factorial model was fitted to the data. Discharges where patients were treated with breast conserving surgery had more than two days shorter MLOS (-2.49, 95% CI -1.66) compared with mastectomy. Although TNM data imply a shift from T2 to smaller T1 among operated women the effect on MLOS is negligible when controlled for age, type of operation etc. Changes in clinical practice such as changes in operation technique can explain approximately 13% of the total decrease in MLOS.

Diagnosis-related groups (DRGs) are secondary patient classification systems based on primary classified medical data, in which single events of care are grouped into larger, economically and medically consistent groups. The main primary classified medical data are diagnoses and surgery codes. In Sweden, the number of secondary diagnoses per case increased during the 1990s. In the early 1990s some county councils introduced DRG systems. The present study investigated whether the introduction of such systems had influenced the number of secondary diagnoses. The nation-wide Hospital Discharge Register from 1988 to 2000 was used for the analyses. All regional hospitals were included, giving a database of 5,355,000 discharges. The hospitals were divided into those that had introduced prospective payment systems during the study period and those that had not. Among all regional hospitals, there was an increase in the number of coded secondary diagnoses, but also in the number of secondary diagnoses per case. Hospitals with prospective payment systems had a larger increase, starting after the system was introduced. Regional hospitals without prospect payment systems had a more constant increase, starting later and coinciding with the introduction of their DRG-based management systems. It is concluded that introduction of DRG-based systems, irrespective of use, focuses on recording diagnoses and therefore increases the number of diagnoses. Other reasons may also have contributed to the increase. It was found that the changes in the speciality mix, during the study period, have impact on the increase of secondary diagnoses.

BACKGROUND: Between 1986 and 1996, the overall mean overnight length of stay for all diagnoses in Sweden decreased from 20.8 to 7.1 days. OBJECTIVES: The study describes changes in surgical technique, from mastectomy to breast-conserving surgery, in treatment of female breast cancer and the parallel change in average length of hospital stay, and discusses the possible link between the trends. RESEARCH DESIGN: The study was performed as a descriptive register study on hospital admission data from the Swedish Hospital Discharge Register over a 16-year period (1980-95). RESULTS: During the study period, the mean length of stay for surgical curative breast cancer treatment in Sweden decreased by 56%. In 1980, the proportion of women receiving conservative surgery was 7%. At the end of the period, this share had increased to 51%. Breast-conserving surgery had an approximately 30% shorter mean length of stay compared with mastectomy. The gap was remarkably stable during the study period. The shift from mastectomy to breast-conserving surgery had a limited effect on the share of patients that went through lymph node dissection. Neither age nor the number of operations per woman could, to any significant extent, explain the decrease in mean length of stay. Approximately 14% of the overall decline can be attributed to the changes in technique. CONCLUSIONS: Clinical practice style, in this case the surgical technique, has had an effect on length of stay, but the surgical technique can only to some extent explain the trend.

Presents a revision of the Cochrane review of screening for breast cancer with mammography. Analysis of equivalent interventions; Grading procedure of the quality in the trials; Evidence for unreliable outcome measures; Costs of mammography screening.