Tradition, Change and Variation : Past and Present Trends in Public Old-age Care

The general aim of this dissertation is to describe and analyse how public old-age care in Sweden has developed and changed during the last century. The study applies a provider perspective on how care has been planned and professionally carried out. A broader social policy perspective, studying old-age care at central/national as well as local/municipal level, is also developed. A special focus is directed at the large local variation in care and services for the elderly. The empirical base is comprised of official documents and other public sources, survey data from interviews with elderly recipients of public old-age care, and official statistics on publicly financed and controlled old-age care and services. Study I addresses the development of old-age care in Sweden during the twentieth century by studying an important occupation in this field – the supervisors and their professional roles, tasks and working conditions. Throughout, the roles of supervisors have followed the prevailing official policy on the proper way to provide care for elderly people in Sweden; from poor relief at the beginning of the 1900s, via a generous level of services in the 1960s and 1970s, to today’s restricted and economy-controlled mode of operation. Study II describes and compares two main forms of public old-age care in Sweden today, home help services and institutional care. The care-load found in home-based care was comparable to and sometimes even larger than in service-homes and other institutions, indicating that large care needs among elderly people in Sweden today can be met in their homes as well as in institutional settings. Studies III and IV analyse the local variation in public old-age care in Sweden. During the last decades there has been an overall decline in home help services. The coverage of home help for elderly people shows large differences between municipalities throughout this period, and the relative variation has increased. The local disparity seems to depend more on historical factors, e.g., previous coverage rates, than on the present municipal situation in levels of need or local economy and politics. In an introductory part the four papers are linked together by an outline of the demographic situation and the social policy model for old-age care in Sweden. Trends that have been apparent over time, e.g. professionalisation and market orientation, are traced and discussed. Conflicts between prevailing ideologies are analysed, in regards to for instance home-based and institution-based care, social and medical culture, and local and central levels of decision-making. ’Welfare municipality’, ‘path dependency’, and ‘decentralisation’ are suggested as a conceptual framework for describing the large and increasing local variations in old-age care. Finally, implications of the four studies with regard to old-age care policy and further research are discussed.

Frequency of and predictors for patient-reported medical and medication errors in Switzerland

OBJECTIVES: To analyse the frequency of and identify risk factors for patient-reported medical errors in Switzerland. The joint effect of risk factors on error-reporting probability was modelled for hypothetical patients. METHODS: A representative population sample of Swiss citizens (n = 1306) was surveyed as part of the Commonwealth Fund’s 2010 lnternational Survey of the General Public’s Views of their Health Care System’s Performance in Eleven Countries. Data on personal background, utilisation of health care, coordination of care problems and reported errors were assessed. Logistic regression analysis was conducted to identify risk factors for patients’ reports of medical mistakes and medication errors. RESULTS: 11.4% of participants reported at least one error in their care in the previous two years (8% medical errors, 5.3% medication errors). Poor coordination of care experiences was frequent. 7.8% experienced that test results or medical records were not available, 17.2% received conflicting information from care providers and 11.5% reported that tests were ordered although they had been done before. Age (OR = 0.98, p = 0.014), poor health (OR = 2.95, p = 0.007), utilisation of emergency care (OR = 2.45, p = 0.003), inpatient-stay (OR = 2.31, p = 0.010) and poor care coordination (OR = 5.43, p <0.001) are important predictors for reporting error. For high utilisers of care that unify multiple risk factors the probability that errors are reported rises up to p = 0.8. CONCLUSIONS: Patient safety remains a major challenge for the Swiss health care system. Despite the health related and economic burden associated with it, the widespread experience of medical error in some subpopulations also has the potential to erode trust in the health care system as a whole.

[Oral health as the mirror of health: the primary care medicine's poor relative?]

Oral health (OH) is indivisible from general health. Several studies have established the link between morbi-mortality, especially cardiovascular, and bad OH, particularly in the case of edentation. Regrettably, part of the population choses dental care renunciation for financial reasons. The primary care physician (PCP), as the health professionnal with the most frequent and intense contacts with the patients, plays an important role to reinforce prevention measures, OH maintenance and to detect oral pathologies. To fulfill this mission, he has to be trained to endo-buccal examination. Furthermore, both the PCP and the dentist have to proactively build an interprofessional approach to promote patients' OH.

Quality of life of survivors of paediatric intensive care

OBJECTIVE: The mortality rate in paediatric intensive care units (PICU) has fallen over the last two decades. More advanced treatment is offered to children with life-threatening disease and there is substantial interest in knowing whether long term outcome and quality of life after intensive care are acceptable. SETTING: 12-bed paediatric and neonatal intensive care unit. INTERVENTION: Prospective follow-up study with telephone interview 1 and 2 years after discharge. METHODS: Four domains of quality of life (physical function, role function, social-emotional function and health problem) were recorded by calculating the health state classification (HSC) index. Outcome was classified good (HSC 1.0-0.7), moderate (HSC 0.69-0.3), poor (HSC 0.29-0) and very poor (HSC <0). RESULTS: 661 patients were admitted to the PICU in the year 2001 with a mortality within the unit of 3.9%. Over 2 years follow-up there were 21 additional deaths (3.2%). 574 patients could be followed up after 1 year and 464 patients after 2 years. After two years the outcome was good in 77%, moderate in 15% and poor in 8%. Patients with respiratory disease had the best outcome, similar to those admitted for neurological and medical reasons. Patients admitted for postoperative care and for cardiovascular disease had a poorer quality of life. 31% of the children had preexisting health care problems and 21% of all patients had new chronic disease after intensive care. CONCLUSION: The majority of survivors admitted to the PICU have a good outcome. The overall mortality rate doubled if assessed two years after discharge.

Early prognostic value of the medical emergency team calling criteria in patients admitted to intensive care from the emergency department

OBJECTIVES: To evaluate the early prognostic value of the medical emergency team (MET) calling criteria in patients admitted to intensive care from the emergency department. DESIGN: Retrospective cohort study. SETTING: Emergency department and department of intensive care medicine of a 960-bed tertiary referral hospital. PATIENTS: A total of 452 consecutive adult patients admitted to intensive care from the emergency department from January 1, 2004, to December 31, 2004. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: MET calling criteria were retrospectively extracted from patient records, and the sum of positive criteria was calculated for the first hour in the emergency department (METinitial) and subsequently until admission to the intensive care unit in a series of time periods. The maximum number of positive MET calling criteria during any time period was defined (METmax). Logistic regression analysis revealed METinitial (odds ratio [OR] 3.392, 95% confidence interval [CI] 2.534-4.540) and METmax (OR 3.867, 95% CI 2.816-5.312) to be significant predictors of hospital mortality, the need for mechanical ventilation (METinitial: OR 4.151, 95% CI 3.53-4.652; METmax: OR 4.292, 95% CI 3.151-5.846), and occurrence of hemodynamic instability (METinitial: OR 1.548, 95% CI 1.258-1.905; METmax: OR 1.685, 95% CI 1.355-2.094) (all p < .0001). CONCLUSIONS: MET scores collected early after admission or throughout the stay in the emergency department allow for simple identification of patients at risk of unfavorable outcome during the subsequent intensive care unit stay.

Family satisfaction in the intensive care unit: what makes the difference?

PURPOSE: To assess family satisfaction in the ICU and to identify parameters for improvement. METHODS: Multicenter study in Swiss ICUs. Families were given a questionnaire covering overall satisfaction, satisfaction with care and satisfaction with information/decision-making. Demographic, medical and institutional data were gathered from patients, visitors and ICUs. RESULTS: A total of 996 questionnaires from family members were analyzed. Individual questions were assessed, and summary measures (range 0-100) were calculated, with higher scores indicating greater satisfaction. Summary score was 78 +/- 14 (mean +/- SD) for overall satisfaction, 79 +/- 14 for care and 77 +/- 15 for information/decision-making. In multivariable multilevel linear regression analyses, higher severity of illness was associated with higher satisfaction, while a higher patient:nurse ratio and written admission/discharge criteria were associated with lower overall satisfaction. Using performance-importance plots, items with high impact on overall satisfaction but low satisfaction were identified. They included: emotional support, providing understandable, complete, consistent information and coordination of care. CONCLUSIONS: Overall, proxies were satisfied with care and with information/decision-making. Still, several factors, such as emotional support, coordination of care and communication, are associated with poor satisfaction, suggesting the need for improvement. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00134-009-1611-4) contains supplementary material, which is available to authorized users.

Human Trafficking: What is the Role of the Health Care Provider?

The article will address the global and local issue of human trafficking. An estimated 20,000 people are trafficked within the U.S. each year. Trafficked people are forced, defrauded and coerced into labor and sexual service for profit of others. Traffickers use individual vulnerabilities and immigration status, language ability and poor understanding of U.S. laws to identify future victims. One case in 2005 in Texas resulted in 100 victims being identified, none of whom revealed themselves to health care professionals. Health care professionals need contemporary and updated information and resources about health risks, screening methods, and identification of trafficked persons. Readers will learn about common medical problems experienced by individuals who are leaving trafficking situations. Legal and health care intersections will be explored. Implementation of a response protocol to assist those who may currently be enslaved will be introduced. Real case examples from trafficking survivors will be presented and discussed. Participants will learn how to reach out, look beneath the surface, provide assistance, and access resources to help victims, and gain a better understanding of the health challenges faced by trafficked victims.

Comparison of cost and outcome of care in patients with low back pain who are managed by physicians or physical therapists in private practice

The purpose of this study was to determine if there were differences in the cost and outcome of care in patients with low back pain who were managed by physicians or physical therapists in private practice in the state of Arizona. A secondary purpose was to describe the current status of private practice physical therapy clinicians who treat patients with low back pain.^ A Survey on Practice was mailed to 194 physical therapists who were listed by the American Physical Therapy Association as being in private practice in Arizona. Eighty-three percent of the surveys were returned after three attempts. Of those which were returned, 72 were complete and included in the analysis.^ The 72 practices were screened to determine those eligible for the second phase of the study. Those eligible for the second phase numbered 52 clinics. Twenty-six practices agreed to participate; however, only 21 did participate. Clinics which participated were sent packets of information which were to be kept on each patient seen with a complaint of low back pain during a three month period. Packets contained a patient-oriented survey on functional activity to be completed before and after the physical therapy course of treatment, as well as a log which was completed by the physical therapist on the type of care given to the patient and an assessment of the outcome of treatment. The patient was asked to fill out a satisfaction survey relative to the care received from the physical therapist and physician, if applicable.^ Although 259 patients were entered into the study, 210 patient logs were available for analysis. Results indicated that generally, there was no difference in cost or outcome as measured by the final functional score, change between the initial and final functional scores, or the therapist-rated outcome between the patients who were managed by physicians or physical therapists when controlling for age and length of time the patient was experiencing pain. Patients were more satisfied with care received from physical therapists as compared to physicians. Age and length of pain were good predictors of the type of referral patients received according to a logistic regression procedure. The initial disability score (IRS) and the time spent in the facility predicted therapist-rated outcome, a good or poor final disability score (FRS), and a good or poor change score. In addition, age predicted FRS and change scores. The time that the therapist spent in direct contact with the patient also predicted the change score.^ These findings of no difference in the cost and outcome of care were discussed as they relate to the practice of medicine and physical therapy. ^