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.

Risk factors for patient-reported medical errors in eleven countries

OBJECTIVES The aim of this study was to identify common risk factors for patient-reported medical errors across countries. In country-level analyses, differences in risks associated with error between health care systems were investigated. The joint effects of risks on error-reporting probability were modelled for hypothetical patients with different health care utilization patterns. DESIGN Data from the Commonwealth Fund's 2010 lnternational Survey of the General Public's Views of their Health Care System's Performance in 11 Countries. SETTING Representative population samples of 11 countries were surveyed (total sample = 19,738 adults). Utilization of health care, coordination of care problems and reported errors were assessed. Regression analyses were conducted to identify risk factors for patients' reports of medical, medication and laboratory errors across countries and in country-specific models. RESULTS Error was reported by 11.2% of patients but with marked differences between countries (range: 5.4-17.0%). Poor coordination of care was reported by 27.3%. The risk of patient-reported error was determined mainly by health care utilization: Emergency care (OR = 1.7, P < 0.001), hospitalization (OR = 1.6, P < 0.001) and the number of providers involved (OR three doctors = 2.0, P < 0.001) are important predictors. Poor care coordination is the single most important risk factor for reporting error (OR = 3.9, P < 0.001). Country-specific models yielded common and country-specific predictors for self-reported error. For high utilizers of care, the probability that errors are reported rises up to P = 0.68. CONCLUSIONS Safety remains a global challenge affecting many patients throughout the world. Large variability exists in the frequency of patient-reported error across countries. To learn from others' errors is not only essential within countries but may also prove a promising strategy internationally.

[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.

Are there accurate predictors of long-term vital and functional outcomes in cardiac surgical patients requiring prolonged intensive care?

BACKGROUND AND OBJECTIVE: The decision to maintain intensive treatment in cardiac surgical patients with poor initial outcome is mostly based on individual experience. The risk scoring systems used in cardiac surgery have no prognostic value for individuals. This study aims to assess (a) factors possibly related to poor survival and functional outcomes in cardiac surgery patients requiring prolonged (> or = 5 days) intensive care unit (ICU) treatment, (b) conditions in which treatment withdrawal might be justified, and (c) the patient's perception of the benefits and drawbacks of long intensive treatments. METHODS: The computerized data prospectively recorded for every patient in the intensive care unit over a 3-year period were reviewed and analyzed (n=1859). Survival and quality of life (QOL) outcomes were determined in all patients having required > or =5 consecutive days of intensive treatment (n=194/10.4%). Long-term survivors were interviewed at yearly intervals in a standardized manner and quality of life was assessed using the dependency score of Karnofsky. No interventions or treatments were given, withhold, or withdrawn as part of this study. RESULTS: In-hospital, 1-, and 3-year cumulative survival rates reached 91.3%, 85.6%, and 75.1%, respectively. Quality of life assessed 1 year postoperatively by the score of Karnofsky was good in 119/165 patients, fair in 32 and poor in 14. Multivariate logistic regression analysis of 19 potential predictors of poor outcome identified dialysis as the sole factor significantly (p=0.027) - albeit moderately - reducing long-term survival, and sustained neurological deficit as an inconstant predictor of poor functional outcome (p=0.028). One year postoperatively 0.63% of patients still reminded of severe suffering in the intensive station and 20% of discomfort. Only 7.7% of patients would definitely refuse redo surgery. CONCLUSIONS: This study of cardiac surgical patients requiring > or =5 days of intensive treatment did not identify factors unequivocally justifying early treatment limitation in individuals. It found that 1-year mortality and disability rates can be maintained at a low level in this subset of patients, and that severe suffering in the ICU is infrequent.

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.

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.

Organized inpatient (stroke unit) care in very old patients

BACKGROUND AND PURPOSE: It is unclear whether very old patients benefit from organized inpatient (stroke unit) care. The aim of this work was to compare the clinical outcome of patients with first-ever ischemic stroke aged either >or=80 or <80 years who were treated conservatively (without cerebral revascularization) in a university-based stroke unit. PATIENTS AND METHODS: We included 147 (11%) patients >or=80 years and 1241 (89%) patients, <80 years. All patients underwent clinical examination, blood tests, electrocardiography (ECG), brain imaging and cerebrovascular ultrasound. Additional investigations were done at the discretion of the treating physician. The modified Rankin scale (mRS) score was used to assess the 3-month outcome (favorable: mRS, 0-1; poor: mRS, 2-6; death of any cause). RESULTS: Stroke severity did not differ between both groups [median National Institutes of Health Stroke Scale (NIHSS) score, 4]. Younger patients underwent magnetic resonance (MR) imaging of the brain, MR and catheter angiography and echocardiography (p<0.001) more frequently, whereas older patients underwent computed tomography of the brain and 24-hour ECG (p<0.001) more frequently. Stroke prevention included clopidogrel (p<0.001) and heparin (p=0.047) more often in older patients and aspirin (p=0.016) in younger patients. Recurrent ischemic events were similarly frequent in old (7%) and young (5%) patients. Favorable outcome was equally prevalent in old (71%) and young (76%) patients, whereas mortality was higher in older patients (7 and 3%, p=0.007). Admission NIHSS score >or=12 was the only independent predictor of unfavorable outcome (odds ratio, 19.6; 95% confidence interval, 9.7-39.6; p<0.001). CONCLUSION: Our work provides further evidence that also the oldest patients may benefit from conservative stroke unit care.

Tooth loss and periodontitis in older individuals: results from the Swedish National Study on Aging and Care

BACKGROUND Due to the increasing number of older people, there is a need for studies focused on this population. The aims of the present study are to assess oral and systemic conditions in individuals aged 60 to 95 years with access to dental insurance. METHODS Probing depths (PDs), tooth loss, alveolar bone levels, and systemic health were studied among a representative cohort of older individuals. RESULTS A total of 1,147 individuals in young-old (aged 60 or 67 years), old (aged 72 or 78 years), and old-old (aged ≥81 years) age groups were enrolled, including 200 individuals who were edentulous, in this study. Annual dental care was received by 82% of dentate individuals. Systemic diseases were common (diabetes: 5.8%; cardiovascular diseases: 20.7%; obesity: 71.2%; elevated C-reactive protein [CRP]: 98.4%). Serum CRP values were unrelated to periodontal conditions. Rates of periodontitis, defined as ≥30% of sites with a distance from cemento-enamel junction to bone of ≥5 mm, were 11.2% in women in the young-old age group and 44.9% in men in the old-old age group. Individuals in older age groups had a higher likelihood of periodontitis defined by bone loss and cutoff levels of PD ≥5 mm (odds ratio: 1.8; 95% confidence interval: 1.2 to 2.5; P <0.01). A total of 7% of individuals in the old-old age group had ≥20 teeth and no periodontitis. Systemic diseases, dental use, or smoking were not explanatory, whereas age and sex were explanatory for periodontitis. CONCLUSIONS The prevalence of periodontitis increased with age. Sex seems to be the dominant explanatory factor for periodontitis in older individuals. Despite frequent dental visits, overall oral health in the oldest age cohort was poor.

Clinically relevant quality measures for risk factor control in primary care: a retrospective cohort study

BACKGROUND Assessment of the proportion of patients with well controlled cardiovascular risk factors underestimates the proportion of patients receiving high quality of care. Evaluating whether physicians respond appropriately to poor risk factor control gives a different picture of quality of care. We assessed physician response to control cardiovascular risk factors, as well as markers of potential overtreatment in Switzerland, a country with universal healthcare coverage but without systematic quality monitoring, annual report cards on quality of care or financial incentives to improve quality. METHODS We performed a retrospective cohort study of 1002 randomly selected patients aged 50-80 years from four university primary care settings in Switzerland. For hypertension, dyslipidemia and diabetes mellitus, we first measured proportions in control, then assessed therapy modifications among those in poor control. "Appropriate clinical action" was defined as a therapy modification or return to control without therapy modification within 12 months among patients with baseline poor control. Potential overtreatment of these conditions was defined as intensive treatment among low-risk patients with optimal target values. RESULTS 20% of patients with hypertension, 41% with dyslipidemia and 36% with diabetes mellitus were in control at baseline. When appropriate clinical action in response to poor control was integrated into measuring quality of care, 52 to 55% had appropriate quality of care. Over 12 months, therapy of 61% of patients with baseline poor control was modified for hypertension, 33% for dyslipidemia, and 85% for diabetes mellitus. Increases in number of drug classes (28-51%) and in drug doses (10-61%) were the most common therapy modifications. Patients with target organ damage and higher baseline values were more likely to have appropriate clinical action. We found low rates of potential overtreatment with 2% for hypertension, 3% for diabetes mellitus and 3-6% for dyslipidemia. CONCLUSIONS In primary care, evaluating whether physicians respond appropriately to poor risk factor control, in addition to assessing proportions in control, provide a broader view of the quality of care than relying solely on measures of proportions in control. Such measures could be more clinically relevant and acceptable to physicians than simply reporting levels of control.

Retention in care of HIV-infected pregnant and lactating women starting art under Option B+ in rural Mozambique.

OBJECTIVE In 2013, Mozambique adopted Option B+, universal lifelong antiretroviral therapy (ART) for all pregnant and lactating women, as national strategy for prevention of mother-to-child transmission of HIV. We analyzed retention in care of pregnant and lactating women starting Option B+ in rural northern Mozambique. METHODS We compared ART outcomes in pregnant ("B+pregnant"), lactating ("B+lactating") and non-pregnant-non-lactating women of childbearing age starting ART after clinical and/or immunological criteria ("own health") between July 2013 and June 2014. Lost to follow-up was defined as no contact >180 days after the last visit. Multivariable competing risk models were adjusted for type of facility (type 1 vs. peripheral type 2 health center), age, WHO stage and time from HIV diagnosis to ART. RESULTS Over 333 person-years of follow-up (of 243 "B+pregnant", 65″B+lactating" and 317 "own health" women), 3.7% of women died and 48.5% were lost to follow-up. "B+pregnant" and "B+lactating" women were more likely to be lost in the first year (57% vs. 56.9% vs. 31.6%; p<0.001) and to have no follow-up after the first visit (42.4% vs. 29.2% vs. 16.4%; p<0.001) than "own health" women. In adjusted analyses, risk of being lost to follow-up was higher in "B+pregnant" (adjusted subhazard ratio [asHR]: 2.77; 95% CI: 2.18-3.50; p<0.001) and "B+lactating" (asHR: 1.94; 95% CI: 1.37-2.74; p<0.001). Type 2 health center was the only additional significant risk factor for loss to follow-up. CONCLUSIONS Retaining pregnant and lactating women in option B+ ART was poor; losses to follow-up were mainly early. The success of Option B+ for prevention of mother-to-child transmission of HIV in rural settings with weak health systems will depend on specific improvements in counseling and retention measures, especially at the beginning of treatment. This article is protected by copyright. All rights reserved.