Multimorbidity and quality of preventive care in Swiss university primary care cohorts.

BACKGROUND Caring for patients with multimorbidity is common for generalists, although such patients are often excluded from clinical trials, and thus such trials lack of generalizability. Data on the association between multimorbidity and preventive care are limited. We aimed to assess whether comorbidity number, severity and type were associated with preventive care among patients receiving care in Swiss University primary care settings. METHODS We examined a retrospective cohort composed of a random sample of 1,002 patients aged 50-80 years attending four Swiss university primary care settings. Multimorbidity was defined according to the literature and the Charlson index. We assessed the quality of preventive care and cardiovascular preventive care with RAND's Quality Assessment Tool indicators. Aggregate scores of quality of provided care were calculated by taking into account the number of eligible patients for each indicator. RESULTS Participants (mean age 63.5 years, 44% women) had a mean of 2.6 (SD 1.9) comorbidities and 67.5% had 2 or more comorbidities. The mean Charlson index was 1.8 (SD 1.9). Overall, participants received 69% of recommended preventive care and 84% of cardiovascular preventive care. Quality of care was not associated with higher numbers of comorbidities, both for preventive care and for cardiovascular preventive care. Results were similar in analyses using the Charlson index and after adjusting for age, gender, occupation, center and number of visits. Some patients may receive less preventive care including those with dementia (47%) and those with schizophrenia (35%). CONCLUSIONS In Swiss university primary care settings, two thirds of patients had 2 or more comorbidities. The receipt of preventive and cardiovascular preventive care was not affected by comorbidity count or severity, although patients with certain comorbidities may receive lower levels of preventive care.

Patient and physician gender concordance in preventive care in university primary care settings.

OBJECTIVE To assess the quality of preventive care according to physician and patient gender in a country with universal health care coverage. METHODS We assessed a retrospective cohort study of 1001 randomly selected patients aged 50-80 years followed over 2 years (2005-2006) in 4 Swiss university primary care settings (Basel, Geneva, Lausanne, Zürich). We used indicators derived from RAND's Quality Assessment Tools and examined percentages of recommended preventive care. Results were adjusted using hierarchical multivariate logistic regression models. RESULTS 1001 patients (44% women) were followed by 189 physicians (52% women). Female patients received less preventive care than male patients (65.2% vs. 72.1%, p<0.001). Female physicians provided significantly more preventive care than male physicians (p=0.01) to both female (66.7% vs. 63.6%) and male patients (73.4% vs. 70.7%). After multivariate adjustment, differences according to physician (p=0.02) and patient gender (p<0.001) remained statistically significant. Female physicians provided more recommended cancer screening than male physicians (78.4 vs. 71.9%, p=0.01). CONCLUSIONS In Swiss university primary care settings, female patients receive less preventive care than male patients, with female physicians providing more preventive care than male physicians. Greater attention should be paid to female patients in preventive care and to why female physicians tend to provide better preventive care.

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.

Follow-up care of adolescent survivors of childhood cancer: The role of health beliefs

BACKGROUND Little is known about follow-up care attendance of adolescent survivors of childhood cancer, and which factors foster or hinder attendance. Attending follow-up care is especially important for adolescent survivors to allow for a successful transition into adult care. We aimed to (i) describe the proportion of adolescent survivors attending follow-up care; (ii) describe adolescents' health beliefs; and (iii) identify the association of health beliefs, demographic, and medical factors with follow-up care attendance. PROCEDURE Of 696 contacted adolescent survivors diagnosed with cancer at ≤16 years of age, ≥5 years after diagnosis, and aged 16-21 years at study, 465 (66.8%) completed the Swiss Childhood Cancer Survivor Study questionnaire. We assessed follow-up care attendance and health beliefs, and extracted demographic and medical information from the Swiss Childhood Cancer Registry. Cross-sectional data were analyzed using descriptive statistics and logistic regression models. RESULTS Overall, 56% of survivors reported attending follow-up care. Most survivors (80%) rated their susceptibility for late effects as low and believed that follow-up care may detect and prevent late effects (92%). Few (13%) believed that follow-up care is not necessary. Two health beliefs were associated with follow-up care attendance (perceived benefits: odds ratio [OR]: 1.56; 95% confidence interval [CI]: 1.07-2.27; perceived barriers: OR: 0.70; 95%CI: 0.50-1.00). CONCLUSIONS We show that health beliefs are associated with actual follow-up care attendance of adolescent survivors of childhood cancer. A successful model of health promotion in adolescent survivors should, therefore, highlight the benefits and address the barriers to keep adolescent survivors in follow-up care. Pediatr Blood Cancer © 2015 Wiley Periodicals, Inc.

Follow-up care of young childhood cancer survivors: attendance and parental involvement.

PURPOSE Despite recommendations, only a proportion of long-term childhood cancer survivors attend follow-up care. We aimed to (1) describe the follow-up attendance of young survivors aged 11-17 years; (2) describe the parental involvement in follow-up, and (3) investigate predictors of follow-up attendance and parental involvement. METHODS As part of the Swiss Childhood Cancer Survivor Study, a follow-up questionnaire was sent to parents of childhood cancer survivors aged 11-17 years. We assessed follow-up attendance of the child, parents' involvement in follow-up, illness perception (Brief IPQ), and sociodemographic data. Clinical data was available from the Swiss Childhood Cancer Registry. RESULTS Of 309 eligible parents, 189 responded (67 %; mean time since diagnosis 11.3 years, range 6.8-17.2) and 75 % (n = 141) reported that their child still attended follow-up. Of these, 83 % (n = 117) reported ≥1 visit per year and 17 % (n = 23) reported <1 visit every year. Most survivors saw pediatric oncologists (n = 111; 79 % of 141), followed by endocrinologists (n = 24, 17 %) and general practitioners (n = 22, 16 %). Most parents (92 %) reported being involved in follow-up (n = 130). In multivariable and Cox regression analyses, longer time since diagnosis (p = 0.025) and lower perceived treatment control (assessed by IPQ4: how much parents thought follow-up can help with late effects; p = 0.009) were associated with non-attendance. Parents' overall information needs was significantly associated with parental involvement in the multivariable model (p = 0.041). CONCLUSION Educating survivors and their parents on the importance and effectiveness of follow-up care might increase attendance in the longer term.

Late presentation for HIV care across Europe: update from the Collaboration of Observational HIV Epidemiological Research Europe (COHERE) study, 2010 to 2013.

Late presentation (LP) for HIV care across Europe remains a significant issue. We provide a cross-European update from 34 countries on the prevalence and risk factors of LP for 2010-2013. People aged ≥ 16 presenting for HIV care (earliest of HIV-diagnosis, first clinic visit or cohort enrollment) after 1 January 2010 with available CD4 count within six months of presentation were included. LP was defined as presentation with a CD4 count < 350/mm(3) or an AIDS defining event (at any CD4), in the six months following HIV diagnosis. Logistic regression investigated changes in LP over time. A total of 30,454 people were included. The median CD4 count at presentation was 368/mm(3) (interquartile range (IQR) 193-555/mm(3)), with no change over time (p = 0.70). In 2010, 4,775/10,766 (47.5%) were LP whereas in 2013, 1,642/3,375 (48.7%) were LP (p = 0.63). LP was most common in central Europe (4,791/9,625, 49.8%), followed by northern (5,704/11,692; 48.8%), southern (3,550/7,760; 45.8%) and eastern Europe (541/1,377; 38.3%; p < 0.0001). There was a significant increase in LP in male and female people who inject drugs (PWID) (adjusted odds ratio (aOR)/year later 1.16; 95% confidence interval (CI): 1.02-1.32), and a significant decline in LP in northern Europe (aOR/year later 0.89; 95% CI: 0.85-0.94). Further improvements in effective HIV testing strategies, with a focus on vulnerable groups, are required across the European continent.

Polypharmacy and specific comorbidities in university primary care settings.

AIMS Polypharmacy is associated with adverse events and multimorbidity, but data are limited on its association with specific comorbidities in primary care settings. We measured the prevalence of polypharmacy and inappropriate prescribing, and assessed the association of polypharmacy with specific comorbidities. METHODS We did a cross-sectional analysis of 1002 patients aged 50-80years followed in Swiss university primary care settings. We defined polypharmacy as ≥5 long-term prescribed drugs and multimorbidity as ≥2 comorbidities. We used logistic mixed-effects regression to assess the association of polypharmacy with the number of comorbidities, multimorbidity, specific sets of comorbidities, potentially inappropriate prescribing (PIP) and potential prescribing omission (PPO). We used multilevel mixed-effects Poisson regression to assess the association of the number of drugs with the same parameters. RESULTS Patients (mean age 63.5years, 67.5% ≥2 comorbidities, 37.0% ≥5 drugs) had a mean of 3.9 (range 0-17) drugs. Age, BMI, multimorbidity, hypertension, diabetes mellitus, chronic kidney disease, and cardiovascular diseases were independently associated with polypharmacy. The association was particularly strong for hypertension (OR 8.49, 95%CI 5.25-13.73), multimorbidity (OR 6.14, 95%CI 4.16-9.08), and oldest age (75-80years: OR 4.73, 95%CI 2.46-9.10 vs.50-54years). The prevalence of PPO was 32.2% and PIP was more frequent among participants with polypharmacy (9.3% vs. 3.2%, p<0.006). CONCLUSIONS Polypharmacy is common in university primary care settings, is strongly associated with hypertension, diabetes mellitus, chronic kidney disease and cardiovascular diseases, and increases potentially inappropriate prescribing. Multimorbid patients should be included in further trials for developing adapted guidelines and avoiding inappropriate prescribing.