Barbara M. Holzer

In aging populations, multimorbidity causes a disease burden of growing importance and cost. However, estimates of the prevalence of multimorbidity (prevMM) vary widely across studies, impeding valid comparisons and interpretation of differences. With this study we pursued two research objectives: (1) to identify a set of study design and demographic factors related to prevMM, and (2) based on (1), to formulate design recommendations for future studies with improved comparability of prevalence estimates. Study data were obtained through systematic review of the literature. Using PubMed/MEDLINE, Embase, CINAHL, Web of Science, BIOSIS, and Google Scholar, we looked for articles with the terms “multimorbidity,” “comorbidity,” “polymorbidity,” and variations of these published in English or German in the years 1990 to 2011. We selected quantitative studies of the prevalence of multimorbidity (two or more chronic medical conditions) with a minimum sample size of 50 and a study population with a majority of Caucasians. Our database consisted of prevalence estimates in 108 age groups taken from 45 studies. To assess the effects of study design variables, we used meta regression models. In 58% of the studies, there was only one age group, i.e., no stratification by age. The number of persons per age group ranged from 136 to 5.6 million. Our analyses identified the following variables as highly significant: “mean age,” “number of age groups”, and “data reporting quality” (all p < 0.0001). “Setting,” “disease classification,” and “number of diseases in the classification” were significant (0.01 < p ≤ 0.03), and “data collection period” and “data source” were non-significant. A separate analysis showed that prevMM was significantly higher in women than men (sign test, p = 0.0015). Comparable prevalence estimates are urgently needed for realistic description of the magnitude of the problem of multimorbidity. Based on the results of our analyses of variables affecting prevMM, we make some design recommendations. Our suggestions were guided by a pragmatic approach and aimed at facilitating the implementation of a uniform methodology. This should aid progress towards a more uniform operationalization of multimorbidity.

Chronic pain is common in multimorbid patients. However, little is known about the implications of chronic pain and analgesic treatment on multimorbid patients. This study aimed to assess chronic pain therapy with regard to the interaction potential in a sample of inpatients with multiple chronic conditions. We conducted a retrospective study with all multimorbid inpatients aged ≥18 years admitted to the Department of Internal Medicine of University Hospital Zurich in 2011 (n = 1,039 patients). Data were extracted from the electronic health records and reviewed. We identified 433 hospitalizations of patients with chronic pain and analyzed their combinations of chronic conditions (multimorbidity). We then classified all analgesic prescriptions according to the World Health Organization (WHO) analgesic ladder. Furthermore, we used a Swiss drug-drug interactions knowledge base to identify potential interactions between opioids and other drug classes, in particular coanalgesics and other concomitant drugs. Chronic pain was present in 38% of patients with multimorbidity. On average, patients with chronic pain were aged 65.7 years and had a mean number of 6.6 diagnoses. Hypertension was the most common chronic condition. Chronic back pain was the most common painful condition. Almost 90% of patients were exposed to polypharmacotherapy. Of the chronic pain patients, 71.1% received opioids for moderate to severe pain, 43.4% received coanalgesics. We identified 3,186 potential drug-drug interactions, with 17% classified between analgesics (without coanalgesics). Analgesic drugs-related DDIs, in particular opioids, in multimorbid patients are often complex and difficult to assess by using DDI knowledge bases alone. Drug-multimorbidity interactions are not sufficiently investigated and understood. Today, the scientific literature is scarce for chronic pain in combination with multiple coexisting medical conditions and medication regimens. Our work may provide useful information to enable further investigations in multimorbidity research within the scope of potential interactions and chronic pain.

Prevalence estimates of chronic medical conditions and their multiples (multimorbidity) in the general population are scarce and often rather speculative in Switzerland. Using complementary data sources, we assessed estimates validity of population-based prevalence rates of four common chronic medical conditions with high impact on cardiovascular health (diabetes mellitus, hypertension, dyslipidemia, obesity). We restricted our analyses to patients 15-94 years old living in the German speaking part of Switzerland. Data sources were: Swiss Health Survey (SHS, 2007, n = 13,580); Family Medicine ICPC Research using Electronic Medical Record Database (FIRE, 2010-12, n = 99,441); and hospital discharge statistics (MEDSTAT, 2009-10, n = 883,936). We defined chronic medical conditions based on use of drugs, diagnoses, and measurements. After a careful harmonization of the definitions, a high degree of concordance, especially regarding the age- and gender-specific distribution patterns, was found for diabetes mellitus (defined as drug use or diagnosis in SHS, drug use or diagnosis or blood glucose measurement in FIRE, and ICD-10 codes E10-14 as secondary diagnosis in MEDSTAT) and for hypertension (defined as drug use alone in SHS and FIRE, and ICD-10 codes I10-15 or I67.4 as secondary diagnosis in MEDSTAT). A lesser degree of concordance was found for dyslipidemia (defined as drug use alone in SHS and FIRE, and ICD-10 code E78 in MEDSTAT), and for obesity (defined as BMI ≥ 30 kg/m2 derived from self-reported height and weight in SHS, from measured height and weight or diagnosis of obesity in FIRE, and ICD-10 code E66 as secondary diagnosis in MEDSTAT). MEDSTAT performed well for clearly defined diagnoses (diabetes, hypertension), but underrepresented systematically more symptomatic conditions (dyslipidemia, obesity). Complementary data sources can provide different prevalence estimates of chronic medical conditions in the general population. However, common age and sex patterns indicate that a careful harmonization of the definition of each chronic medical condition permits a high degree of concordance.

Patients with multimorbidity are an increasing concern in healthcare. Clinical practice guidelines, however, do not take into account potential therapeutic conflicts caused by co-occurring medical conditions. This makes therapeutic decisions complex, especially in emergency situations. The aim of this study was to identify and quantify therapeutic conflicts in emergency department patients with multimorbidity. We reviewed electronic records of all patients ≥18 years with two or more concurrent active medical conditions, admitted from the emergency department to the hospital ward of the University Hospital Zurich in January 2009. We cross-tabulated all active diagnoses with treatments recommended by guidelines for each diagnosis. Then, we identified potential therapeutic conflicts and classified them as either major or minor conflicts according to their clinical significance. 166 emergency inpatients with multimorbidity were included. The mean number of active diagnoses per patient was 6.6 (SD±3.4). We identified a total of 239 therapeutic conflicts in 49% of the of the study population. In 29% of the study population major therapeutic conflicts, in 41% of the patients minor therapeutic conflicts occurred. Therapeutic conflicts are common among multimorbid patients, with one out of two experiencing minor, and one out of three experiencing major therapeutic conflicts. Clinical practice guidelines need to address frequent therapeutic conflicts in patients with co-morbid medical conditions.

Presently, there is no consensus on how to define multimorbidity. In this paper we investigate the connection between prevalence estimates for two or more and three or more chronic conditions to improve comparability of multimorbidity studies with different cut-offs. In a systematic review of the literature published between January, 1990 and December, 2011, we found 52 suitable studies, many providing prevalence estimates for several age groups. A total of 31 studies reported both the prevalence for multimorbidity based on two or more chronic conditions and three or more chronic conditions, which were analysed in this study. Our research question was whether there is a systematic interrelation between these two prevalence estimates, and how this could be used to improve the comparability of studies on the burden of multimorbidity. Actually, we found a tight relationship between the prevalence of two or more and three or more chronic conditions. Moreover, each of these estimates can be predicted from the other. I.e. the cut-offs of two or three for the number of chronic conditions produce essentially the same information on prevalence. Our study shows a way to enhance and improve the comparability of prevalence estimates from different multimorbidity studies.

Objective:The aim of this study was to investigate the utilization of ambulance services that resulted from alcohol and drug intoxication over a period of 1 year in a metropolitan area, with an emp...

Trotz ungenügender Datenlage steht Multimorbidität auch in der Schweiz zunehmend auf den Agenden der sich mit Gesundheitsthemen befassenden Institutionen und Personen. In diesem Artikel werden die wichtigsten Probleme und Hindernisse auf dem Weg zu verlässlichen Prävalenzdaten erläutert. Dabei werden bestehende schweizerische Datenquellen, die für Prävalenzberechnungen herangezogen werden könnten, aufgezeigt und besprochen. Die wohl grösste aktuelle Herausforderung liegt in der Einigung der internationalen Forschungsgemeinschaft auf eine standardisierte Definition von Multimorbidität mit der Festlegung der Art und minimalen Anzahl der einzubeziehenden chronischen Erkrankungen. Um künftig valide und international vergleichbare Prävalenzdaten zu erhalten, sollten darüber hinaus methodologische Ansätze, wie das Vorgehen bei der Datenerfassung und die Entwicklung eines Masses zur Messung von Multimorbidität, breit diskutiert und zu einem Konsens geführt werden.

Background. Intoxication, whether from alcohol, drugs, or alcohol and drugs in combination, remains a challenging burden on emergency departments. The increasing alcohol consumption among adolescents and young adults, particularly heavy episodic drinking, and the resulting increase in the use of health care resources for alcohol intoxication has been a widely discussed topic. Objective. The aim of our study was to assess and characterize the use of emergency ambulance services that was required as a result of alcohol and drug intoxication in a major metropolitan area. Methods. We conducted a retrospective, longitudinal study over a 10-year period in the greater metropolitan area of Zurich, Switzerland. The study population included intoxicated patients assessed and initially treated by paramedics of the emergency ambulance service. Data were extracted from the ambulance service reports. The primary outcomes measured were trends over time in the numbers and types of intoxication and trends with respect to gender and age distributions of intoxicated patients. Results. An annual increase of about 5% in the number of intoxicated patients requiring emergency ambulance service was observed over the study period. Alcohol use was present in 73% of the cases. The highest number of cases was among patients 25–44 years of age. The greatest increase in the number of cases over time was among patients under 25 years of age. Women comprised 41% of the patients under 25 years of age but only about 35% of older patients. The number of severe injuries and suicide attempts was small, but the number of suicide attempts increased at a higher rate than the overall number of cases of intoxication. There was a significant increase (17.64% per year on average) in the incidence of aggressive behavior toward paramedics from intoxicated patients, although still small in numbers. Conclusions. Our findings suggest two main vulnerable groups: young persons under 25 years of age, with a particular focus on women, having the greatest increase over time, and middle-aged men, having the greatest proportion among all cases observed. Intervention efforts should include a high-risk approach to reduce alcohol-related problems. Key words: alcohol intoxication; substance-related disorders; aggression; injuries; emergency medical services

Objective To determine the factors contributing most to variability in patient experience in order to present approaches for fairer benchmarking of hospitals and for quality improvement. Design Secondary analysis of data from a widely used survey on patient experience. Setting Inpatients from all 24 acute hospitals in the Canton of Bern in Switzerland. Data collection followed the standardized and validated Picker Institute methodology for a period of 13 weeks in the fall/winter of 2005. Participants Inpatients age 18 years and older (n = 14 089), discharged within the sampling period. Main outcome measures ‘Patient experience’, measured by the total Picker Problem Score (PPS) and by six domain scores (care, communication, respect, cooperation, organization, discharge management). Results In regression analysis, the patient factors self-reported health, age and education explained the highest proportion of variability in the PPS (4.8, 2.2 and 0.7%, respectively). Multiple linear adjustment for factors associated with patients removed between 29 and 33% of variability between hospital categories. The domain score means varied from under 5% for ‘respect towards the patient' to 34% for ‘discharge management’. Ranking of hospitals by domain scores differed from the ranking based on the total PPS. Conclusions Statistical adjustment for patient mix and additional stratification for some hospital factors make benchmarking using patient survey data fairer and more transparent. Use of our approach for presenting quality data may make interpretation easier for the different target groups and may enhance the relevance of such information for decision-making.