Trends in multimorbidity and polypharmacy in the Flemish-Belgian population between 2000 and 2015

Association between continuity of care and inappropriate prescribing in outpatient care in Germany: a cross-sectional analysis conducted as part of the LoChro trial

OBJECTIVES

Potentially inappropriate medications (PIMs) and potential prescribing omissions (PPOs) are common in multimorbid patients. This study aims to describe PIMs and PPOs in an open-access outpatient setting and to investigate any association between continuity of care (CoC) and PIMs and PPOs in multimorbid older patients.

DESIGN

Cross-sectional study using patient-confirmed outpatient medication plans to describe PIMs and PPOs using the 'Screening Tool of Older Person's Prescription/Screening Tool to Alert to Right Treatment' version 2. Four Poisson regressions modelled the number of PIMs and PPOs using context-adapted versions of the Usual Provider of Care (UPC) and the Modified Modified Continuity Index (MMCI) as measures for CoC.

SETTING

Southern Germany, outpatient setting.

PARTICIPANTS

321 participants of the LoChro-trial at 12-month follow-up (both arms). The LoChro-trial compared healthcare involving an additional care manager with usual care. Inclusion criteria were age over 64, local residence and scoring over one in the Identification of Older patients at Risk Screening Tool.

PRIMARY OUTCOMES

Numbers of PIMs and PPOs.

RESULTS

The mean number of PIMs was 1.5 (SD 1.5), lower than the average number of PPOs at 2.9 (SD 1.7). CoC showed similar results for both indices with a mean of 0.548 (SD 0.279) for MMCI and 0.514 (SD 0.262) for UPC. Both models predicting PPOs indicated more PPOs with higher CoC; statistical significance was only demonstrated for MMCI (MMCI~PPO: Exp(B)=1.42, 95% CI (1.11; 1.81), p=0.004; UPC~PPO: Exp(B)=1.29, 95% CI (0.99; 1.67), p=0.056). No significant association between PIMs and CoC was found (MMCI~PIM: Exp(B)=0.72, 95% CI (0.50; 1.03), p=0.072; UPC~PIM: Exp(B)=0.83, 95% CI (0.57; 1.21), p=0.337).

CONCLUSION

The results did not show a significant association between higher CoC and lesser PIMs. Remarkably, an association between increased CoC, represented through MMCI, and more PPOs was found. Consultation of different care providers in open-access healthcare systems could possibly ameliorate under-prescribing in multimorbid older patients.

TRIAL REGISTRATION

German Clinical Trials Register (DRKS): DRKS00013904.

Is the insomnia phenotype the common denominator in LUTS during transition periods? An expert NOPIA research group review

AIMS

As people age, sleep stages and characteristics transition over time, but sleep deficits can profoundly impact health and cognitive functioning. Chronic sleep deprivation is linked to impaired attention and productivity, weakened immunity, increased risk of cardiovascular disease, obesity, and mental health disorders. Insomnia, obstructive sleep apnea syndrome, hormonal changes, nocturia, neurological disorders, and life events interfere with sleep patterns and some are linked to lower urinary tract symptoms (LUTS). This NOPIA symposium on Lifelong LUTS aimed to analyze the literature on associations between sleep and LUTS, generate ideas for future research, and explore whether there is support for the concept of lifelong LUTS in relation to changes in sleep throughout the lifespan.

METHODS

An international panel of experts took part in an online meeting addressing the role of lifelong LUTS in relationship to sleep and the brain organized by the NOPIA research group. The manuscript summarizes existing literature, hypotheses, future research ideas, and clinical recommendations.

RESULTS

Insomnia, sleep fragmentation, hyperarousal, and sensory processing disorders emerged as potential factors in the relationship between sleep and LUTS. Insomnia is often a persistent factor and may have been the initial symptom; however, it is often unrecognized and/or unaddressed in healthcare settings. By recognizing insomnia as a primary driver of various health issues, including nocturia, transitional care aims to address root causes and underlying problems earlier to initiate appropriate treatment.

CONCLUSIONS

A multidisciplinary approach with collaboration between healthcare professionals from various disciplines, such as urology, sleep medicine, gynecology, pediatrics, and geriatrics, is needed and should include validated measurements such as the insomnia severity index and sleep and voiding diaries. Ensuring ongoing follow-up and monitoring through transitional care is crucial for individuals with persistent sleep problems and LUTS, allowing issues that arise or fluctuate over the lifespan to be addressed.

Prevalence of multimorbidity and polypharmacy among adults and older adults: a systematic review

Multimorbidity (multiple conditions) and polypharmacy (multiple medications) are increasingly common, yet there is a need to better understand the prevalence of co-occurrence. In this systematic review, we examined the prevalence of multimorbidity and polypharmacy among adults (≥18 years) and older adults (≥65 years) in clinical and community settings. Six electronic databases were searched, and 87 studies were retained after two levels of screening. Most studies focused on adults 65 years and older and were done in population-based community settings. Although the operational definitions of multimorbidity and polypharmacy varied across studies, consistent cut-points (two or more conditions and five or more medications) were used across most studies. In older adult samples, the prevalence of multimorbidity ranged from 4·8% to 93·1%, while the prevalence of polypharmacy ranged from 2·6% to 86·6%. High heterogeneity between studies indicates the need for more consistent reporting of specific lists of conditions and medications used in operational definitions.

Multimorbidity healthcare expenditure in Belgium: a 4-year analysis (COMORB study)

BACKGROUND

The complex management of health needs in multimorbid patients, alongside limited cost data, presents challenges in developing cost-effective patient-care pathways. We estimated the costs of managing 171 dyads and 969 triads in Belgium, taking into account the influence of morbidity interactions on costs.

METHODS

We followed a retrospective longitudinal study design, using the linked Belgian Health Interview Survey 2018 and the administrative claim database 2017-2020 hosted by the Intermutualistic Agency. We included people aged 15 and older, who had complete profiles (N = 9753). Applying a system costing perspective, the average annual direct cost per person per dyad/triad was presented in 2022 Euro and comprised mainly direct medical costs. We developed mixed models to analyse the impact of single chronic conditions, dyads and triads on healthcare costs, considering two-/three-way interactions within dyads/triads, key cost determinants and clustering at the household level.

RESULTS

People with multimorbidity constituted nearly half of the study population and their total healthcare cost constituted around three quarters of the healthcare cost of the study population. The most common dyad, arthropathies + dorsopathies, with a 14% prevalence rate, accounted for 11% of the total national health expenditure. The most frequent triad, arthropathies + dorsopathies + hypertension, with a 5% prevalence rate, contributed 5%. The average annual direct costs per person with dyad and triad were €3515 (95% CI 3093-3937) and €4592 (95% CI 3920-5264), respectively. Dyads and triads associated with cancer, diabetes, chronic fatigue, and genitourinary problems incurred the highest costs. In most cases, the cost associated with multimorbidity was lower or not substantially different from the combined cost of the same conditions observed in separate patients.

CONCLUSION

Prevalent morbidity combinations, rather than high-cost ones, made a greater contribution to total national health expenditure. Our study contributes to the sparse evidence on this topic globally and in Europe, with the aim of improving cost-effective care for patients with diverse needs.

Understanding the Extent of Polypharmacy and its Association With Health Service Utilization Among Persons With Cancer and Multimorbidity: A Population-Based Retrospective Cohort Study in Ontario, Canada

Background: Cancer often co-occurs with other chronic conditions, which may result in polypharmacy. Polypharmacy is associated with adverse outcomes, including increased health service utilization. Objectives: This study examines the overall prevalence of polypharmacy (5 or more medications) among adults with cancer and multimorbidity, as well as the association of both minor polypharmacy (5-9 medications) and hyper-polypharmacy (10 or more medications) on high use of emergency room visits and hospitalizations, while controlling for age, sex, and type and stage of cancer. Methods: This retrospective longitudinal study used linked health administrative databases and included persons 18 years and older diagnosed with cancer between April 2010 and March 2013 in Ontario, Canada. Data on the number of health service utilizations at or above the 90th percentile (high users), was collected up to March 2014 and multivariate logistic regression was used to determine the impact of polypharmacy. Results: The prevalence of polypharmacy was 46% prior to cancer diagnosis, and 57% one year after diagnosis. Polypharmacy prior to and after cancer diagnosis increased with the level of multimorbidity, increasing age, but did not differ by sex. It was also highest in persons with lung cancer (52.4%) and those diagnosed with stage 4 cancer (51.3%). Minor polypharmacy increased the odds of being a high user of emergency rooms (1.16; 99% CI: 1.09-1.24) and hospitalizations (1.03; 0.98-1.09) and the odds of high use was greater with hyper-polypharmacy (1.41; 1.33-1.51) and (1.23; 1.17-1.29) respectively. Conclusion: Polypharmacy is highly prevalent and is associated with high health service utilization among adults with cancer and multimorbidity.

Chronic disease and multimorbidity in the Chinese older adults' population and their impact on daily living ability: a cross-sectional study of the Chinese Longitudinal Healthy Longevity Survey (CLHLS)

BACKGROUND

Owing to an increase in life expectancy, it is common for the older adults to suffer from chronic diseases that can result in disability and a low quality of life. This study aimed to explore the influence of chronic diseases and multimorbidities on activities of daily living (ADLs) and instrumental ADLs (IADLs) in an older Chinese population.

METHODS

Based on the Chinese Longitudinal Healthy Longevity Survey (2018), 9,155 older adults aged 65 years and above were included in the study. A self-administered questionnaire was used to collect information on demographic characteristics, chronic diseases, ADLs, and IADLs. The impact of factors affecting ADL and IADL impairment in older adults was analysed using binary logistic regression.

RESULTS

In total, 66.3% participants had chronic diseases. Hypertension, heart disease, arthritis, diabetes and cerebrovascular disease were among the top chronic diseases. Of these, 33.7% participants had multimorbidities. The most common combination of the two chronic diseases was hypertension and heart disease (11.2%), whereas the most common combination of the three chronic diseases was hypertension, heart disease, and diabetes (3.18%). After categorising the older adults into four age groups, dementia, visual impairment, and hearing impairment were found to be more prevalent with increasing age. The prevalence of hypertension, heart disease, cerebrovascular disease, gastrointestinal ulcers, arthritis and chronic nephritis gradually increased with age until the age of 75 years, peaked in the 75-84 years age group, and then showed a decreasing trend with age. Multimorbidity prevalence followed a similar pattern. Regression analysis indicated that the increase in age group and the number of chronic diseases independently correlated with impairments in ADL as well as IADL. Additionally, gender, physical activity, educational background, obesity, depressive symptoms, and falls also had an impact on ADLs or IADLs.

CONCLUSION

Chronic diseases and multimorbidities are common in older adults, and it is important to note that aging, multimorbidity, obesity, and unhealthy lifestyle choices may interfere with ADLs or IADLs in older adults. Therefore, it is imperative that primary healthcare providers pay special attention to older adults and improve screening for multimorbidity and follow-up needs.

Association of polypharmacy with occurrence of loneliness and social isolation among older adults

BACKGROUND

Polypharmacy is increasing. The longitudinal association of polypharmacy and social isolation has not been previously reported. The aim of this study was to explore longitudinal associations of polypharmacy with loneliness and social isolation among older adults.

METHODS

Participants aged 60 years and above in southern Sweden were invited for participation. A total of 1526 and 2556 participants were included in the separate analyses for loneliness and social isolation. Polypharmacy was defined as taking five or more medications. Associations of polypharmacy with occurrence of loneliness and social isolation were estimated using logistic regression models.

RESULTS

During follow-up, 409 and 414 participants developed loneliness and social isolation, respectively. The odds for loneliness occurrence were higher for participants with polypharmacy compared to participants without polypharmacy (OR, 1.37; 95% CI, 1.05-1.78; P = 0.020). For participants without polypharmacy, the probability of developing loneliness was 0.28 (95% CI, 0.25-0.31), while for those with polypharmacy this probability was 25% higher (0.35; 95% CI, 0.30-0.39). The odds for social isolation occurrence were higher for participants with polypharmacy compared to participants without polypharmacy (OR, 1.29; 95% CI, 1.02-1.64; P = 0.036). For participants without polypharmacy, the probability of developing social isolation was 0.16 (95% CI, 0.14-0.18), while for those with polypharmacy this probability was 18% higher (0.19; 95% CI, 0.17-0.22).

CONCLUSIONS

Polypharmacy was associated with loneliness and social isolation occurrence among older adults. Consideration of loneliness and social isolation are warranted when caring for older adults taking multiple medications.

Predictors for unplanned hospital admissions in community dwelling adults: A dynamic cohort study

BACKGROUND

Polypharmacy and inappropriate medication use are associated with unplanned hospital admissions. Targeted interventions might reduce the hospitalization risk. Yet, it remains unclear which patient profiles derive the largest benefit from such interventions.

OBJECTIVE

The aim of this study was to determine independent risk factors, among which polypharmacy, for unplanned hospital admissions in a cohort of community dwelling adults.

METHODS

A retrospective study was performed using a large general practice registry and an insurance database in Flanders, Belgium. Community dwelling adults aged 40 years or older with data for 2013-2015 were included. The index date was the last general practitioner contact in 2014. Determinants were collected during the preceding year. Unplanned hospital admissions were determined during the year after the index date. Univariable logistic regression models were fitted on each risk factor for an unplanned hospital admission as the primary outcome. Two multivariable models were derived.

RESULTS

In total, 40411 patients were included and 2126 (5.26%) experienced an unplanned hospital admission. Mean age was 58.3 (±12.3) years. The two models identified the following determinants for an unplanned hospital admission: excessive polypharmacy, older age, male sex, number of comorbidities, atrial fibrillation, chronic obstructive pulmonary disease or stroke, low hemoglobin, use of hypnotics, antipsychotics, antidepressants or antiepileptics and prior hospital and general practitioner visits. Prior hospital visits was the largest determinant.

CONCLUSIONS

In our study we identified and confirmed the presence of known determinants for unplanned hospital admissions in community dwelling adults, most of which align with a geriatric phenotype. Our findings can inform the allocation of interventions aiming to reduce unplanned hospital admissions.

Impact of individual, household, and area characteristics on health and social care outcomes for people with multimorbidity: Protocol for a multilevel analysis

BACKGROUND

Multimorbidity is one of the greatest challenges facing health and social care systems globally. It is associated with high rates of health service use, adverse healthcare events, and premature death. Despite its importance, little is known about the effects of contextual determinants such as household and area characteristics on health and care outcomes for people with multimorbidity. This study protocol presents a plan for the examination of associations between individual, household, and area characteristics with important health and social care outcomes.

METHODS

The study will use a cross-section of data from the SAIL Databank on 01 January 2019 and include all people alive and registered with a Welsh GP. The cohort will be stratified according to the presence or absence of multimorbidity, defined as two or more long-term conditions. Multilevel models will be used to examine covariates measured for individuals, households, and areas to account for social processes operating at different levels. The intra-class correlation coefficient will be calculated to determine the strength of association at each level of the hierarchy. Model outcomes will be any emergency department attendance, emergency hospital or care home admission, or mortality, within the study follow-up period.

DISCUSSION

Household and area characteristics might act as protective or risk factors for health and care outcomes for people with multimorbidity, in which case results of the analyses can be used to guide clinical and policy responses for effective targeting of limited resources.

Frequency and impact of medication reviews for people aged 65 years or above in UK primary care: an observational study using electronic health records

BACKGROUND

Medication reviews in primary care provide an opportunity to review and discuss the safety and appropriateness of a person's medicines. However, there is limited evidence about access to and the impact of routine medication reviews for older adults in the general population, particularly in the UK. We aimed to quantify the proportion of people aged 65 years and over with a medication review recorded in 2019 and describe changes in the numbers and types of medicines prescribed following a review.

METHODS

We used anonymised primary care electronic health records from the UK's Clinical Practice Research Datalink (CPRD GOLD) to define a population of people aged 65 years or over in 2019. We counted people with a medication review record in 2019 and used Cox regression to estimate associations between demographic characteristics, diagnoses, and prescribed medicines and having a medication review. We used linear regression to compare the number of medicines prescribed as repeat prescriptions in the three months before and after a medication review. Specifically, we compared the 'prescription count' - the maximum number of different medicines with overlapping prescriptions people had in each period.

RESULTS

Of 591,726 people prescribed one or more medicines at baseline, 305,526 (51.6%) had a recorded medication review in 2019. Living in a care home (hazard ratio 1.51, 95% confidence interval 1.40-1.62), medication review in the previous year (1.83, 1.69-1.98), and baseline prescription count (e.g. 5-9 vs 1 medicine 1.41, 1.37-1.46) were strongly associated with having a medication review in 2019. Overall, the prescription count tended to increase after a review (mean change 0.13 medicines, 95% CI 0.12-0.14).

CONCLUSIONS

Although medication reviews were commonly recorded for people aged 65 years or over, there was little change overall in the numbers and types of medicines prescribed following a review. This study did not examine whether the prescriptions were appropriate or other metrics, such as dose or medicine changes within the same class. However, by examining the impact of medication reviews before the introduction of structured medication review requirements in England in 2020, it provides a useful benchmark which these new reviews can be compared with.

Cardiovascular and renal multimorbidity increase risk of atrial fibrillation in the PREVEND cohort

OBJECTIVE

Atrial fibrillation (AF) is a condition that occurs in the presence of comorbidities. With the accumulation of comorbidities (multimorbidity), some combinations may more often occur together than others. Information on the impact of clustering of these on incident AF is sparse. We aimed to investigate clustering of cardiovascular and renal comorbidities and study the association between comorbidity clusters and incident AF.

METHODS

We used the community-based Prevention of Renal and Vascular ENd-stage Disease (PREVEND) cohort in which 8592 individuals participated. Latent class analysis was performed to assess clustering of 10 cardiovascular and renal comorbidities.

RESULTS

We excluded individuals with prior AF or missing ECG data, leaving 8265 individuals for analysis (mean age 48.9±12.6 years, 50.2% women). During 9.2±2.1 years of follow-up, 251 individuals (3.0%) developed AF. A model with three clusters was the optimal model, with one cluster being young (44.5±10.8 years) and healthy, carrying a low (1.0%) risk of incident AF; one cluster being older (63.0±8.4 years) and multimorbid, carrying a high (16.2%) risk of incident AF and a third middle-aged (57.0±11.3 years), obese and hypertensive cluster carrying an intermediate risk (5.9%) of incident AF. While the prevalence of the comorbidities differed between classes, no clear combination(s) of comorbidities was observed within the classes.

CONCLUSIONS

We identified three clusters of comorbidities in individuals in the community-based PREVEND cohort. The three clusters contained different amount of comorbidities carrying different risks of incident AF. However, there were no differences between the clusters regarding specific combination(s) of comorbidities.

Do the lockdown-imposed changes in a wastewater treatment plant catchment's socio-demographics impact longitudinal temporal trends in psychoactive pharmaceutical use?

Wastewater-based epidemiology (WBE) includes the analysis of human metabolic biomarkers of xenobiotics in influent wastewater. WBE complements existing drug utilization approaches and provides objective, spatio-temporal information on the consumption of pharmaceuticals in the general population. This approach was applied to 24-h composite influent wastewater samples from Leuven, Belgium. Daily samples were analysed from September 2019 to December 2019 (n = 76), and on three days of the week (Monday, Wednesday, Saturday) from January 2020 to April 2022 (n = 367). Sample analysis consisted of 96-well solid-phase extraction and liquid chromatography coupled to tandem mass spectrometry. Measured concentrations of 21 biomarkers for antidepressant and opioid use were converted to population-normalized mass loads (PNML) by considering the flow rate and catchment population. To capture population movements, mobile phone data was used. Amitriptyline, hydroxy-bupropion, norcitalopram, citalopram, normirtazapine, trazodone, O-desmethylvenlafaxine, codeine, 2-ethylidene-1,5-dimethyl-3,3-diphenylpyrrolidine (EDDP), methadone, morphine, O-desmethyltramadol, and tramadol were included in the temporal assessment since concentrations were above the lower limit of quantification. The PNML of most biomarkers increased (with 3-119 %) throughout the sampling period. The population disruption during the COVID-19 pandemic led to a major change in the socio-demographics of the catchment area, resulting in temporal differences in the PNML of the different biomarkers. As such, higher PNML were observed during the different lockdown phases, which were characterized by the outflow of university students and a decreasing commuting in and out the catchment area. The effects of the fluctuating socio-demographics of the catchment population were further evidenced by the different week-weekend pattern of PNMLs over the course of the sampling campaign. Mean parent/metabolite ratios (i.e., citalopram/norcitalopram, tramadol/O-desmethyltramadol, venlafaxine/O-desmethylvenlafaxine, and methadone/EDDP) remained relatively stable throughout the entire sampling campaign (RSD% below 25 % for all ratios, except for methadone/EDDP) and therefore were not affected by this population change.

The Development of Recommendations for Healthcare Providers to Support Patients Experiencing Medication Self-Management Problems

Medication self-management problems such as the inability to correctly obtain, understand, organize, administer or monitor medication can result in negative patient outcomes. However, supportive tools for healthcare providers to assist patients with medication self-management problems are lacking. This study aimed to develop recommendations for healthcare providers to support patients with polypharmacy who experience medication self-management problems. A three-phase study was conducted starting with (1) the mapping of medication self-management problems, followed by (2) a scoping review providing a list of relevant interventions and actions for each respective problem and (3) a three-round modified e-Delphi study with experts to reach consensus on the relevance and clarity of the recommended interventions and actions. The cut-off for consensus on the relevance and clarity of the recommendations was set at 80% expert agreement. Experts could propose additional recommendations based on their professional experience and expertise. The experts (n = 23) involved were healthcare professionals (i.e., nurses, pharmacists, and physicians) with specific expertise in medication management of patients with polypharmacy. Simultaneous with the second e-Delphi round, a panel of patients with polypharmacy (n = 8) evaluated the usefulness of recommendations. Results obtained from the patient panel were fed back to the panel of healthcare providers in the third e-Delphi round. Descriptive statistics were used for data analysis. Twenty medication self-management problems were identified. Based on the scoping review, a list of 66 recommendations for healthcare providers to support patients with the identified medication self-management problems was composed. At the end of the three-round e-Delphi study, the expert panel reached consensus on the relevance and clarity of 67 recommendations, clustered according to the six phases of the medication self-management model by Bailey et al. In conclusion, this study resulted in a guidance document including recommendations that can serve as a resource for healthcare providers to support patients with polypharmacy in case of medication self-management problems. Future research should focus on the evaluation of the feasibility and user-friendliness of the guide with recommendations in clinical practice.

People-centered care and patients' beliefs about medicines and adherence: A cross-sectional study

Introduction

People-centered care (PCC) strategies are believed to improve overall health outcomes. Medicines use is essential for the treatment of many patients with chronic conditions. Non-adherence rates are high and result in poor health outcomes, and increased healthcare utilization and costs. This study aimed to explore the relationship between PCC and adherence to medicines for persons with chronic medicines use, as well as the extent to which patients' beliefs about medicines are influenced by their level of perceived PCC.

Methods

A cross-sectional survey design was performed with adults using at least 3 chronic medicines per day. To measure the degree of medicines adherence, patients' ideas about medication, and PCC, four validated questionnaires were used: The Medication Adherence Report Scale (MARS-5), Beliefs about medicines questionnaire (BMQ), Client-Centered Care Questionnaire (CCCQ) and the Shared Decision Making Questionnaire (SDM-Q-9). Socio-demographics, health status, and drug-related burden were questioned as potential factors to impact the relationship between PCC and adherence.

Results

A sample of 459 persons participated. The mean score on the CCCQ (adjusted to pharmacotherapy) was 52.7 on 75 (sd = 8.83, range [18-70]). The top 20% scored 60 or more, the 20% lowest scores were 46 or less. Adherence levels were high, with a mean score of 22.6 on 25 on the MARS-5, and 88% scoring 20 or more. An increase in PCC corresponded to a higher chance of medicines adherence (OR 1.07, 95%CI [1.02-1.12]), corrected for age, the burden due to chronic diseases, the impact of side effects on daily life, and participants' beliefs about medicines. PCC showed positive correlations with the necessity of medicines use (r = 0.1, p = 0.016) and the balance between necessity and concerns (r = 0.3, p < 0.001); and negative correlations with levels of concerns (r = -0.3, p < 0.001) and scores on harmfulness (r = -0.3, p < 0.001) and overuse of medicines (r = -0.4, p < 0.001).

Conclusion

Patients with chronic medicine use perceived an average high level of people-centeredness in the pharmaceutical care they received. This PCC was weakly positively associated with adherence to their medicines. The higher PCC was evaluated, the more patients believed in the necessity of the medicines use and the better the balance between necessity and concerns. The people-centeredness of pharmaceutical care showed several shortcomings and can still be improved. As such, healthcare providers are advised to actively engage in PCC, and not to wait passively for information provided by the patient.

Association of disability level with polypharmacy and potentially inappropriate medication in community dwelling older people

AIMS

To investigate the influence of disability severity level on polypharmacy and the prescription of potentially inappropriate medication (PIM) using health insurance and long-term care (LTC) insurance claim data.

METHODS

Data were obtained from a health-care insurance and long-term care insurance claims database of citizens of Kure city, Japan, in April 2017. Data including age, sex, and drug profile were obtained, and the level of LTC needs was used to measure disability level. Factors associated with polypharmacy (≥5 prescribed drugs) and PIM prescription (≥1 PIM) defined by STOPP-J were analyzed statistically.

RESULTS

Among 67,169 people aged ≥65 (mean age 77.2 ± 7.9, male 40.7%), the frequency of polypharmacy increased with age until 85-89 (male 58.3%, female 57.6%) in both genders, and polypharmacy was most prevalent in those at the mildest LTC level (support level: male 68.9%, female 73.7%). PIM prescriptions was also frequent in those with LTC needs. On multiple logistic regression analysis, polypharmacy was significantly associated with older age and LTC needs, and PIM prescription was associated with older age and higher LTC level, suggesting that there is a large difference in prescription according to the person's age and disability level.

CONCLUSION

Polypharmacy was prevalent especially in older persons which peaked at the age of 85-89 or at mild disability level, and PIM prescription was prevalent in those with older age and higher care levels. When optimizing polypharmacy or PIM prescription in older patients, healthcare providers should focus on not only age but also disability level.

Somatic comorbidities of mental disorders in pregnancy

BACKGROUND

Mental and physical health conditions are frequently comorbid. Despite the widespread physiological and behavioral changes during pregnancy, the pattern of comorbidities among women in pregnancy is not well studied. This study aimed to systematically examine the associations between mental and somatic disorders before and during pregnancy.

METHOD

The study used data from mothers of a nationally representative birth cohort of children born in Israel (1997-2008). We compared the risk of all major somatic disorders (International Classification of Diseases, Ninth Revision) in pregnant women with and without a mental disorder. All analyses were adjusted for maternal age, child's birth year, family socioeconomic status, and the total number of maternal encounters with health services around pregnancy period.

RESULTS

The analytical sample included 77,030 mother-child dyads, with 30,083 unique mothers. The mean age at child's birth was 29.8 years. Prevalence of diagnosis of mental disorder around pregnancy in our sample was 4.4%. Comorbidity between mental and somatic disorders was two times higher than the comorbidity between pairs of different somatic disorders. Of the 17 somatic disorder categories, seven were positively associated with mental health disorders. The highly prevalent comorbidities associated with mental disorders in pregnancy included e.g. musculoskeletal (OR = 1.30; 95% CI = 1.20-1.42) and digestive system diseases (OR = 1.23; 95% CI = 1.13-1.34).

CONCLUSIONS

We observed that associations between maternal diagnoses and mental health stand out from the general pattern of comorbidity between nonmental health diseases. The study results confirm the need for screening for mental disorders during pregnancy and for potential comorbid conditions associated with mental disorders.

Association rules analysis on patterns of multimorbidity in adults: based on the National Health and Nutrition Examination Surveys database

OBJECTIVE

To explore the prevalence and patterns of multimorbidity in population with different genders and age ranges.

DESIGN

A cross-sectional study.

SETTING

National Health and Nutrition Examination Surveys database.

PARTICIPANTS

12 576 patients.

PRIMARY AND SECONDARY OUTCOME MEASURES

The prevalence and patterns of multimorbidity.

RESULTS

High cholesterol had the highest prevalence in all population (33.4 (95% CI: 32.0 to 34.9)) and males. In females <65 years, the most prevalent disease was sleep disorder (32.1 (95% CI: 29.6 to 34.5)) while in females ≥65 years, hypertension was the most prevalent disease (63.9 (95% CI: 59.9 to 67.9)). Hypertension and high cholesterol were associated with the highest support (occur together most frequently) in all population regardless of genders. Hypertension displayed the highest betweenness centrality (mediating role in the network) followed by high cholesterol and arthritis in all population. For males aged <65 years, hypertension and high cholesterol presented the highest betweenness centrality. In males ≥65 years, hypertension, high cholesterol and arthritis were the top three diseases of degree centrality (direct association with other conditions). As for females ≥65 years, hypertension showed the highest betweenness centrality followed by high cholesterol and arthritis. The associations of hypertension, arthritis and one other item with high cholesterol presented the highest support in all population. In males, the associations of depression, hypertension with sleep disorders had the highest lift (the chance of co-occurrence of the conditions and significant association). Among females, the associations of depression, arthritis with sleep disorders had the highest lift.

CONCLUSION

Hypertension and high cholesterol were prevalent in all population, regardless of females and males. Hypertension and high cholesterol, arthritis and hypertension, and diabetes and hypertension were more likely to coexist. The findings of this study might help make plans for the management and primary care of people with one or more diseases.

Guiding Principles for Managing Co-occurring Alcohol/Other Drug and Mental Health Conditions: a Scoping Review

This scoping review aimed to synthesise the published literature on guiding principles for managing co-occurring alcohol/other drug (AOD) and mental health conditions in AOD treatment settings. Systematic search of key electronic databases (January 1, 2010, to February 17, 2021) produced 4583 articles, and independent title/abstract and full text screening left 43 articles for inclusion. Fifteen guiding principles were identified, most commonly: build a strong therapeutic relationship (n = 24 articles), provide holistic care (n = 12), involve peer support (n = 7), ensure continuity of care (n = 6), support the professional development and competence of workers (n = 6), and provide trauma-informed care (n = 5). Remaining principles were identified in < 5 articles. Limited empirical literature examined the impact of guiding principles on patient- and treatment-related outcomes. This review provides the first comprehensive synthesis of the international literature to derive guiding principles for managing co-occurring AOD and mental health conditions in AOD treatment. Further empirical research is needed to determine the effectiveness of principles at improving outcomes.

Life-course socioeconomic conditions, multimorbidity and polypharmacy in older adults: A retrospective cohort study

Socioeconomic conditions across the life course may contribute to differences in multimorbidity and polypharmacy in old age. However, whether the risk of multimorbidity changes during ageing and whether life-course socioeconomic conditions are associated with polypharmacy remain unclear. We investigated whether disadvantaged childhood socioeconomic conditions (CSCs) predict increased odds of multimorbidity and polypharmacy in older adults, whether CSCs remain associated when adjusting for adulthood socioeconomic conditions (ACSs), and whether CSCs and ACSs are associated cumulatively over the life course. We used data for 31,432 participants (multimorbidity cohort, mean [SD] age 66·2[9] years), and 21,794 participants (polypharmacy cohort, mean age 69·0[8.9] years) from the Survey of Health, Ageing, and Retirement in Europe (age range 50-96 years). We used mixed-effects logistic regression to assess the associations of CSCs, ASCs, and a life-course socioeconomic conditions score (0-8; 8, most advantaged) with multimorbidity (≥2 chronic conditions) and polypharmacy (≥5 drugs taken daily). We found an association between CSCs and multimorbidity (reference: most disadvantaged; disadvantaged: odds ratio (OR) = 0·79, 95% confidence interval (CI) 0·70-0·90; middle: OR = 0·60; 95%CI 0·53-0·68; advantaged: OR = 0·52, 95%CI 0·45-0·60, most advantaged: OR = 0·40, 95%CI 0·34-0·48) but not polypharmacy. This multimorbidity association was attenuated but remained significant after adjusting for ASCs. The life-course socioeconomic conditions score was associated with multimorbidity and polypharmacy. We did not find an association between CSCs, life-course socioeconomic conditions, and change in odds of multimorbidity and polypharmacy with ageing. Exposure to disadvantaged socioeconomic conditions in childhood or over the entire life-course could predict multimorbidity in older age.

Prevalence and factors associated with polypharmacy: a systematic review and Meta-analysis

Introduction

Polypharmacy is commonly associated with adverse health outcomes. There are currently no meta-analyses of the prevalence of polypharmacy or factors associated with polypharmacy. We aimed to estimate the pooled prevalence of polypharmacy and factors associated with polypharmacy in a systematic review and meta-analysis.

Methods

MEDLINE, EMBASE, and Cochrane databases were searched for studies with no restrictions on date. We included observational studies that reported on the prevalence of polypharmacy among individuals over age 19. Two reviewers extracted study characteristics including polypharmacy definitions, study design, setting, geography, and participant demographics. The risk of bias was assessed using the Newcastle-Ottawa Scales. The main outcome was the prevalence of polypharmacy and factors associated with polypharmacy prevalence. The pooled prevalence estimates of polypharmacy with 95% confidence intervals were determined using random effects meta-analysis. Subgroup analyses were undertaken to evaluate factors associated with polypharmacy such as polypharmacy definitions, study setting, study design and geography. Meta-regression was conducted to assess the associations between polypharmacy prevalence and study year.

Results

106 full-text articles were identified. The pooled estimated prevalence of polypharmacy in the 54 studies reporting on polypharmacy in all medication classes was 37% (95% CI: 31-43%). Differences in polypharmacy prevalence were reported for studies using different numerical thresholds, study setting, and publication year. Sex, study geography, study design and geographical location were not associated with differences in polypharmacy prevalence.

Discussion

Our review highlights that polypharmacy is common particularly among older adults and those in inpatient settings. Clinicians should be aware of populations who have an increased likelihood of experiencing polypharmacy and efforts should be made to review the appropriateness of prescribed medications and occurrence of adverse effects potentially associated with polypharmacy.

Conclusions and implications

Clinicians should be aware of the common occurrence of polypharmacy and undertake efforts to minimize inappropriate polypharmacy whenever possible.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12877-022-03279-x.

Age, sex, residence, and region-specific differences in prevalence and patterns of multimorbidity among older Chinese: evidence from Chinese Longitudinal Healthy Longevity Survey

BACKGROUND

Multimorbidity among older adults, which is associated with added functional decline and higher health care utilization and mortality, has become increasingly common with the dramatic acceleration of ageing in China. The purpose of this study was to reveal age, sex, residence, and region- specific prevalence and patterns of multimorbidity among older adults in China.

METHODS

This study is based on the 2018 Chinese Longitudinal Health Longevity Survey (CLHLS), the most recent edition of this national survey, and involved analysis of 15,275 participants aged 65 years and older. Multimorbidity was defined as an individual who has two or more chronic diseases or conditions and was divided into two types for analysis: ≥2 (MM2+) and ≥ 3 (MM3+). Fourteen chronic diseases or conditions surveyed were used to assess patterns of multimorbidity through association rule mining.

RESULTS

Among the 15,275 participants, the largest proportion (39.9%) was 90 years old and over, while the distribution of sex and residence is roughly the same. Overall, the prevalence of multimorbidity was 44.1% for MM2+ and 22.9% for MM3+. The most frequently occurring patterns were two or three combinations between hypertension, cardiovascular diseases and affective disorders. Cardiovascular diseases combined with diabetes or dyslipidemia showed the most predominant association in different age groups. Moreover, the prevalence of the hypertension +diabetes pattern decreased with age. The strongest associations were found for the clustering of hypertension + cardiovascular diseases + respiratory diseases in males, however, among females it was the cardiovascular diseases + diabetes cluster. Cardiovascular diseases + rheumatoid arthritis + visual impairment was observed in urban areas and hypertension + cardiovascular diseases + affective disorders in rural areas. The most distinctive association rule in Northern China was {cardiovascular diseases, hypertension, visual impairment} = > {diabetes}. Respiratory disease was more prevalent in combination with other systemic disorders in Western China, and affective disorders in Southern China.

CONCLUSIONS

The prevalence of multimorbidity among older Chinese was substantial, and patterns of multimorbidity varied by age, sex, residence, and region. Future efforts are needed to identify possible prevention strategies and guidelines that consider differences in demographic characteristics of multimorbid patients to promote health in older adults.

Prevalence of polypharmacy in community-dwelling older adults from seven centres in five European countries: a cross-sectional study of DO-HEALTH

OBJECTIVE

To investigate the prevalence of polypharmacy and characteristics associated with polypharmacy in older adults from seven European cities.

DESIGN

Cross-sectional study of baseline data from DO-HEALTH.

SETTING AND PARTICIPANTS

DO-HEALTH enrolled 2157 community-dwelling adults age 70 and older from seven centres in Europe. Participants were excluded if they had major health problems or Mini-Mental State Examination Score <24 at baseline.

PRIMARY OUTCOME MEASURES

Extensive information on prescription and over-the-counter medications were recorded. Polypharmacy was defined as the concomitant use of five or more medications, excluding vitamins or dietary supplements. Bivariate and multivariable logistic regression was used to test the association of sociodemographic factors (age, sex, years of education, living situation and city) and health-related indicators (number of comorbidities, cognitive function, frailty status, body mass index (BMI), prior fall, self-rated health and smoking status) with polypharmacy.

RESULTS

27.2% of participants reported polypharmacy ranging from 16.4% in Geneva to 60.8% in Coimbra. In the multivariable logistic regression analyses, older age (OR 1.07; 95% CI 1.04 to 1.10), greater BMI (OR 1.09; 95% CI 1.06 to 1.12) and increased number of comorbidities (OR 2.13; 95% CI 1.92 to 2.36) were associated with polypharmacy. Women were less likely to report polypharmacy than men (OR 0.65; 95% CI 0.51 to 0.84). In comparison to participants from Zurich, participants from Coimbra were more likely to report polypharmacy (OR 2.36; 95% CI 1.56 to 3.55), while participants from Geneva or Toulouse were less likely to report polypharmacy ((OR 0.36; 95% CI 0.22 to 0.59 and OR 0.64; 95% CI 0.42 to 0.96), respectively). Living situation, smoking status, years of education, prior fall, cognitive function, self-rated health and frailty status were not significantly associated with polypharmacy.

CONCLUSION

Polypharmacy is common among relatively healthy older adults, with moderate variability across seven European cities. Independent of several confounders, being a woman, older age, greater BMI and greater number of comorbidities were associated with increased odds for polypharmacy.

TRIAL REGISTRATION NUMBER

NCT01745263.

Evaluation of the EMPAR study population on the basis of metabolic phenotypes of selected pharmacogenes

The impact of genetic variability of pharmacogenes as a possible risk factor for adverse drug reactions is elucidated in the EMPAR (Einfluss metabolischer Profile auf die Arzneimitteltherapiesicherheit in der Routineversorgung/English: influence of metabolic profiles on the safety of drug therapy in routine care) study. EMPAR evaluates possible associations of pharmacogenetically predicted metabolic profiles relevant for the metabolism of frequently prescribed cardiovascular drugs. Based on a German study population of 10,748 participants providing access to healthcare claims data and DNA samples for pharmacogenetic assessment, first analyses were performed and evaluated. The aim of this first evaluation was the characterization of the study population with regard to general parameters such as age, gender, comorbidity, and polypharmacy at baseline (baseline year) as well as important combinations of cardiovascular drugs with relevant genetic variants and predicted metabolic phenotypes. The study was registered in the German Clinical Trials Register (DRKS) on July 6, 2018 (DRKS00013909).

Fifteen-year trajectories of multimorbidity and polypharmacy in Dutch primary care—A longitudinal analysis of age and sex patterns

Objective

After stratifying for age, sex and multimorbidity at baseline, our aim is to analyse time trends in incident multimorbidity and polypharmacy in the 15-year clinical trajectories of individual patients in a family medicine setting.

Methods

This study was carried out using data from the Registration Network Family Medicine in the South of the Netherlands. The clinical trajectories of 10037 subjects during the 15-year period (2000–2014) were analyzed in a repeated measurement of using a generalized estimating equations model as well as a multilevel random intercept model with repeated measurements to determine patterns of incident multimorbidity and polypharmacy. Hierarchical age-period-cohort models were used to generate age and cohort trajectories for comparison with prevalence trends in multimorbidity literature.

Results

Multimorbidity was more common in females than in males throughout the duration of the 15-year trajectory (females: 39.6%; males: 33.5%). With respective ratios of 11.7 and 5.9 between the end and the beginning of the 15-year period, the youngest female and male groups showed a substantial increase in multimorbidity prevalence. Ratios in the oldest female and male groups were 2.2 and 1.9 respectively. Females had higher levels of multimorbidity than males in the 0-24-year and 25-44-year age groups, but the levels converged to a prevalence of 92.2% in the oldest male and 90.7% in the oldest female group. Similar, albeit, moderate differences were found in polypharmacy patterns.

Conclusions

We sought to specify the progression of multimorbidity from an early age. As a result, our study adds to the multimorbidity literature by specifying changes in chronic disease accumulation with relation to polypharmacy, and by tracking differences in patient trajectories according to age and sex. Multimorbidity and polypharmacy are common and their prevalence is accelerating, with a relatively rapid increase in younger groups. From the point of view of family medicine, this underlines the need for a longitudinal approach and a life course perspective in patient care.

Spatiotemporal Analysis of the Prevalence and Pattern of Multimorbidity in Older Chinese Adults

Background

Multimorbidity presents an enormous problem to societal and healthcare utilization under the context of aging population in low- and middle-income countries (LMICs). Currently, systematic studies on the profile of multimorbidity and its characteristics among Chinese elderly are lacking. We described the temporal and spatial trends in the prevalence of multimorbidity and explored chronological changes of comorbidity patterns in a large elderly population survey.

Methods

Data were extracted from the Chinese Longitudinal Healthy Longevity Study (CLHLS) conducted between 1998 and 2018 in a random selection of half of the counties and city districts. All the elderly aged 65 and older were included in the survey of eight waves. We used 13 investigated chronic diseases to measure the prevalence of multimorbidity by means of geography, subpopulation, and chronological changes. The patterns of multimorbidity were assessed by computing the value of relative risk (RR indicates the likelihood of certain diseases to be associated with multimorbidity) and the observed-to-expected ratio (O/E indicates the likelihood of the coexistence of a multimorbidity combination).

Results

From 1998 to 2018, the prevalence of multimorbidity went from 15.60 to 30.76%, increasing in the fluctuation across the survey of eight waves (p_{for trend} = 0.020). Increasing trends were observed similarly in a different gender group (p_male = 0.009; p_female = 0.004) and age groups among female participants (p_~80 = 0.009; p₈₁₋₉₀ = 0.004; p₉₁₋₁₀₀ = 0.035; p_101~ = 0.018). The gap in the prevalence of multimorbidity between the north and the south was getting narrow across the survey of eight waves. Hypertension was the highest prevalent chronic condition while diabetes was most likely to coexist with other chronic conditions in the CLHLS survey. The most frequently occurring clusters were hypertension and heart disease, hypertension and cataract, and hypertension and chronic lung disease. And, the cancer, TB, and Parkinson's disease cluster took the domination of O/E rankings over time, which had a higher probability of coexistence in all the multimorbidity combinations.

Conclusions

The prevalence of multimorbidity has been increasing nationwide, and more attention should be paid to a rapid growth in the southern part of China. It demands the effective diagnosis and treatment adopted to the highly prevalent comorbidities, and strategies and measures were adjusted to strongly relevant clusters.

The effect of disease onset chronology on mortality among patients with multimorbidity: A Danish nationwide register study

Background

Multimorbidity is associated with increased mortality. Certain combinations of diseases are known to be more lethal than others, but the limited knowledge of how the chronology in which diseases develop impacts mortality may impair the development of effective clinical interventions for patients with multimorbidity.

Objective

To explore if in multimorbidity the chronology of disease onset is associated with mortality. Design: A prospective nationwide cohort study, including 3,986,209 people aged ≥18 years on 1 January 2000, was performed. We included ten diagnosis groups: lung, musculoskeletal, endocrine, mental, cancer, neurological, gastrointestinal, cardiovascular, kidney, and sensory organs. We defined multimorbidity as the presence of at least two diagnoses from two diagnosis groups (out of ten). To determine mortality, logistic regression models were used to calculate odds ratios (OR) and ratio of ORs (RORs).

Results

For most combinations of multimorbidity, the chronology of disease onset does not change mortality. However, when multimorbidity included mental health diagnoses, mortality was in general higher if the mental health diagnosis appeared first. If multimorbidity included heart and sensory diagnoses, mortality was higher if these developed second. For the majority of multimorbidity combinations, there was excess mortality if multimorbidity was diagnosed simultaneously, rather than consecutively, for example, heart and kidney (3.58 ROR; CI 2.39–5.36), or mental health and musculoskeletal diagnoses (2.38 ROR; CI 1.70–3.32).

Conclusions

Overall, in multimorbidity, the chronology in which diseases develop is not associated with mortality, with few exceptions. For almost all combinations of multimorbidity, diagnoses act synergistically in relation to mortality if diagnosed simultaneously.

Trends in Cardiometabolic and Cancer Multimorbidity Prevalence and Its Risk With All-Cause and Cause-Specific Mortality in U.S. Adults: Prospective Cohort Study

Several prospective cohort studies have assessed the association between multimorbidity and all-cause mortality, but the findings have been inconsistent. In addition, limited studies have assessed the association between multimorbidity and cause-specific mortality. In this study, we used the population based cohort study of National Health Interview Survey (1997–2014) with linkage to the National Death Index records to 31 December 2015 to examine the trends in prevalence of multimorbidity from 1997 to 2014, and its association with the risk of all-cause and cause-specific mortality in the U.S. population. A total of 372,566 adults aged 30–84 years were included in this study. From 1997 to 2014, the age-standardized prevalence of specific chronic condition and multimorbidity increased significantly (P < 0.0001). During a median follow-up of 9.0 years, 50,309 of 372,566 participants died from all causes, of which 11,132 (22.1%) died from CVD and 13,170 (26.2%) died from cancer. Compared with participants without the above-mentioned chronic conditions, those with 1, 2, 3, and ≥4 of chronic conditions had 1.41 (1.37–1.45), 1.94 (1.88–2.00), 2.64 (2.54–2.75), and 3.68 (3.46–3.91) higher risk of all-cause mortality after adjustment for important covariates. Similarly, a higher risk of CVD-specific and cancer-specific mortality was observed as the number of chronic conditions increased, with the observed risk stronger for CVD-mortality compared with cancer-specific mortality. Given the prevalence of multimorbidity tended to increase from 1997 to 2014, our data suggest effective prevention and intervention programs are necessary to limit the increased mortality risk associated with multimorbidity.

Decreasing trends in potentially inappropriate medications in older people: a nationwide repeated cross-sectional study

Background

Potentially Inappropriate Medications (PIMs) and polypharmacy are widely used indicators of suboptimal prescribing for older people. The aim of this study was to describe the changes in the prevalence of PIMs and polypharmacy among people aged 75 years and over between 2011 and 2019 in France.

Methods

PIMs and polypharmacy were assessed among people aged 75 years and over every two years between 2011 and 2019 using the French health insurance data system. Sixteen PIM criteria from the 2015 Beers and STOPP lists were assessed. Polypharmacy (5 to 9 drugs) and hyper-polypharmacy (≥10 drugs) were defined based on the average number of drugs dispensed per quarter. The Annual Percent Change (APC) and 95%CI were assessed using linear regression models after standardization of the prevalence on age and sex.

Results

The study population included 5,777,645 individuals over 75 years old in 2011 and 6,328,155 in 2019. The prevalence of PIMs decreased from 49.6 to 39.6% over the study period (APC: − 1.19% [− 1.35;-1.04]). Of the sixteen indicators assessed, the prevalence of thirteen decreased between 2011 and 2019. Benzodiazepines were the most frequent PIMs (34.7% in 2011 to 26.9% in 2019), followed by anticholinergic drugs (12.1% in 2011 to 8.3% in 2019), oral non-steroidal anti-inflammatory drugs (11.4 to 7.8%), and PIMs related to antihypertensive drugs (7.4 to 6.0%). Overall, women and individuals aged 85 years and older were more likely to receive PIMs. The prevalence of hyper-polypharmacy decreased from 30.5 to 25.9% over the study period.

Conclusion

This study, which is the first to assess the change in prevalence of PIMs and polypharmacy over time from comprehensive health data in France, highlights that PIMs and hyper-polypharmacy declined between 2011 and 2019. However, PIMs remains frequent for older people and often involves benzodiazepines.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12877-021-02568-1.

Diabetes, hypertension and dyslipidemia medication prescribing in Qatari primary care settings: a retrospective analysis of electronic medical records

Background

Globally, non-communicable diseases (NCDs) are recognised as a leading cause of morbidity and mortality. Medications and medicines optimisation play an important role in the management of modifiable physiological risk factors and NCDs. The importance of lifestyle interventions in prevention of modifiable risk factors is also well established. The aim of this paper was to describe the quantity of type 2 diabetes mellitus (T2DM), hypertension and dyslipidaemia prescribing in Qatari primary care settings. Its findings will provide necessary information to inform pharmaceutical policy and practice.

Methods

The study was undertaken in Qatar’s publicly funded primary health care centres. Data sources for this study comprised electronic medical records. The Anatomical Therapeutic Chemical (ATC) drug classification system was used to classify the medications prescribed. The number and proportion of medications by age, sex, nationality and diagnosis (T2DM, hypertension and dyslipidaemia) were reported.

Results

A total 81,569 individuals were included (18–29 years 2.4%; 30–39 years 11.7%; 40–49 years 25.4%; 50–59 years 31.9% and ≥ 60 years 28.6%). 55.6% participants were male. On average 10.2 medications were prescribed per person and 2.3 medications were included in each prescription. T2DM medications were most prescribed (N = 361,87780,799; 43.2%) followed by hypertension (N = 303,086; 36.2%) and dyslipidaemia (N = 172,163; 20.5%). Of the total medications prescribed, 72% (N = 605,488) were prescribed in individuals aged 50 years and above. Men were prescribed 62% (N = 515,043) medications while women were prescribed 38% (N = 322,083) medications. Southern Asians (N = 330,338; 39%) were prescribed most medication followed by Qataris (N = 181,328; 22%) and Northern African (N = 145,577; 17%).

Conclusions

In Qatar’s primary care settings, average medications prescribed per patients were found to be higher compared to other populations. While medications were actively prescribed for the 3 conditions, the study found variations by medication type, age, gender and nationality. Rational guidelines for the utilisation of medications need to be established with the support of real-world evidence.

Supplementary Information

The online version contains supplementary material available at 10.1186/s40545-021-00353-4.

What Happens after Hospital Discharge? Deficiencies in Medication Management Encountered by Geriatric Patients with Polypharmacy

This study aimed to describe post-discharge medication self-management by geriatric patients with polypharmacy, to describe the problems encountered and to determine the related factors. In a multicenter study from November 2019 to March 2020, data were collected at hospital discharge and two to five days post-discharge. Geriatric patients with polypharmacy were questioned about medication management using a combination of validated (MedMaIDE) and self-developed questionnaires. Of 400 participants, 70% did self-manage medication post-discharge. Patients had a mean of four different deficiencies in post-discharge medication management (SD 2.17, range 0-10). Knowledge-related deficiencies were most common. The number of medicines and the in-hospital provision of medication management by nurses were significant predictors of post-discharge medication management deficiencies. In addition to deficiencies in knowledge, medication-taking ability and obtaining medication, non-adherence and disrupted continuity of medication self-management were common in geriatric patients with polypharmacy post-discharge. Improvements in in-hospital preparation could avoid medication self-management problems at home.

Development of Multimorbidity Over Time: An Analysis of Belgium Primary Care Data Using Markov Chains and Weighted Association Rule Mining

Background

The prevalence of multimorbidity is increasing in recent years, and patients with multimorbidity often have a decrease in quality of life and require more health care. The aim of this study was to explore the evolution of multimorbidity taking the sequence of diseases into consideration.

Methods

We used a Belgian database collected by extracting coded parameters and more than 100 chronic conditions from the Electronic Health Records of general practitioners to study patients older than 40 years with multiple diagnoses between 1991 and 2015 (N = 65 939). We applied Markov chains to estimate the probability of developing another condition in the next state after a diagnosis. The results of Weighted Association Rule Mining (WARM) allow us to show strong associations among multiple conditions.

Results

About 66.9% of the selected patients had multimorbidity. Conditions with high prevalence, such as hypertension and depressive disorder, were likely to occur after the diagnosis of most conditions. Patterns in several disease groups were apparent based on the results of both Markov chain and WARM, such as musculoskeletal diseases and psychological diseases. Psychological diseases were frequently followed by irritable bowel syndrome.

Conclusions

Our study used Markov chains and WARM for the first time to provide a comprehensive view of the relations among 103 chronic conditions, taking sequential chronology into consideration. Some strong associations among specific conditions were detected and the results were consistent with current knowledge in literature, meaning the approaches were valid to be used on larger data sets, such as National Health care Systems or private insurers.

Advancement in predicting interactions between drugs used to treat psoriasis and its comorbidities by integrating molecular and clinical resources

OBJECTIVE

Drug-drug interactions (DDIs) can result in adverse and potentially life-threatening health consequences; however, it is challenging to predict potential DDIs in advance. We introduce a new computational approach to comprehensively assess the drug pairs which may be involved in specific DDI types by combining information from large-scale gene expression (984 transcriptomic datasets), molecular structure (2159 drugs), and medical claims (150 million patients).

MATERIALS AND METHODS

Features were integrated using ensemble machine learning techniques, and we evaluated the DDIs predicted with a large hospital-based medical records dataset. Our pipeline integrates information from >30 different resources, including >10 000 drugs and >1.7 million drug-gene pairs. We applied our technique to predict interactions between 37 611 drug pairs used to treat psoriasis and its comorbidities.

RESULTS

Our approach achieves >0.9 area under the receiver operator curve (AUROC) for differentiating 11 861 known DDIs from 25 750 non-DDI drug pairs. Significantly, we demonstrate that the novel DDIs we predict can be confirmed through independent data sources and supported using clinical medical records.

CONCLUSIONS

By applying machine learning and taking advantage of molecular, genomic, and health record data, we are able to accurately predict potential new DDIs that can have an impact on public health.

Sex differences in multimorbidity and polypharmacy trends: A repeated cross-sectional study of older adults in Ontario, Canada

Background

Multimorbidity is increasing among older adults, but the impact of these recent trends on the extent and complexity of polypharmacy and possible variation by sex remains unknown. We examined sex differences in multimorbidity, polypharmacy (5+ medications) and hyper-polypharmacy (10+ medications) in 2003 vs 2016, and the interactive associations between age, multimorbidity level, and time on polypharmacy measures.

Methods and findings

We employed a repeated cross-sectional study design with linked health administrative databases for all persons aged ≥66 years eligible for health insurance in Ontario, Canada at the two index dates. Descriptive analyses and multivariable logistic regression models were conducted; models included interaction terms between age, multimorbidity level, and time period to estimate polypharmacy and hyper-polypharmacy probabilities, risk differences and risk ratios for 2016 vs 2003. Multimorbidity, polypharmacy and hyper-polypharmacy increased significantly over the 13 years. At both index dates prevalence estimates for all three were higher in women, but a greater absolute increase in polypharmacy over time was observed in men (6.6% [from 55.7% to 62.3%] vs 0.9% [64.2%-65.1%] for women) though absolute increases in multimorbidity were similar for men and women (6.9% [72.5%-79.4%] vs 6.2% [75.9%-82.1%], respectively). Model findings showed that polypharmacy decreased over time among women aged < 90 years (especially for younger ages and those with fewer conditions), whereas it increased among men at all ages and multimorbidity levels (with larger absolute increases typically at older ages and among those with 4 or fewer conditions).

Conclusions

There are sex and age differences in the impact of increasing chronic disease burden on changes in measures of multiple medication use among older adults. Though the drivers and health consequences of these trends warrant further investigation, the findings support the heterogeneity and complexity in the evolving association between multimorbidity and polypharmacy measures in older populations.

Population-Based Observational Study of Adverse Drug Event-Related Mortality in the Super-Aged Society of Japan

INTRODUCTION

Adverse drug events (ADEs) are a major cause of mortality.

OBJECTIVE

We examined long-term trends for ADE-related deaths in Japan.

METHODS

This observational study was conducted using the Japanese Vital Statistics from 1999 to 2016. Data for all ADE-related deaths were extracted using International Classification of Diseases, Tenth Revision codes. We analysed ADE-related deaths by age and sex and calculated crude and age-standardised mortality rates (ASMR) per 100,000 people. We used Joinpoint regression analysis to identify significant changing points in mortality trends and to estimate annual percentage change (APC).

RESULTS

In total, 16,417 ADE-related deaths were identified. The crude mortality rate for individuals aged ≥ 65 years was higher than that of young individuals. The ASMR per 100,000 people increased from 0.44 in 1999 to 0.64 in 2016. The crude mortality rate increased from 0.44 in 1999 to 1.01 in 2016. The APC of ASMR increased at a rate of 2.8% (95% confidence interval [CI] 1.4-4.2) throughout the study period. In addition, crude mortality increased at a rate of 5.7% (95% CI 4.2-7.3) annually from 1999 to 2016. The ADE-related mortality rate was higher for men than for women during the study period.

CONCLUSIONS

The number of and trend in ADE-related deaths increased in Japan from 1999 to 2016, particularly in the older population.

Polypharmacy and excessive polypharmacy in community-dwelling middle aged and aged adults between 2011 and 2015

AIMS

We aimed to assess the prevalence, components and evolution of polypharmacy and to evaluate risk factors associated with polypharmacy.

METHODS

A retrospective dynamic cohort study was performed, using a primary healthcare database comprising Flemish community-dwelling adults aged ≥40 years between 2011 and 2015. Polypharmacy and excessive polypharmacy were defined as the use of 5-9 or minimum 10 different medications during 1 year, respectively. Temporal changes were analysed using an autoregressive error model. Risk factors for polypharmacy were evaluated using logistic regression.

RESULTS

In total, 68 426 patients were included in the analysis. The prevalence of polypharmacy was 29.5% and 16.1% for excessive polypharmacy in 2015. The age-standardised prevalence rate of patients using minimum five medications increased with 1.3% per year (95% confidence interval (CI): 0.1968-2.4279). The mean number of unplanned hospital admissions was 0.07 (standard deviation (SD) 0.33) for polypharmacy patients and 0.19 (SD 0.53) for excessive polypharmacy patients. Four risk factors were found to be significantly correlated with polypharmacy: age (odds ratio (OR) 1.015; 95% CI: 1.013-1.017), female gender (OR 1.161; 95% CI: 1.108-1.216), number of chronic diseases (OR 1.126; 95% CI: 1.114-1.139) and number of general practitioner contacts (OR 1.283; 95% CI: 1.274-1.292).

CONCLUSION

The prevalence of polypharmacy increased between 2011 and 2015. Polypharmacy and excessive polypharmacy patients appeared to differ based on our observations of characteristics, drug therapy and outcomes. Age, female gender, number of chronic diseases and number of general practitioner contacts were associated with polypharmacy.

Typology of drug discontinuation trials - Methodological recommendations

OBJECTIVE

Due to the increasing concerns about polypharmacy, there is a growing need for clinical recommendations for drug discontinuation. This requires studies investigating the process on several levels. This paper addresses the methodological problems of drug discontinuation trials (DDTs). To that end, we offer a new typology of research aims and corresponding methodological recommendations for trials evaluating drug discontinuation.

STUDY DESIGN AND SETTING

Multi-stage development process, including literature search and expert panels.

RESULTS

Clinical trials are only required in cases of scientific uncertainty. We identified three situations of uncertainty associated with drug discontinuation from which we derived three study types: 1) Uncertainty regarding the effectiveness and/or safety of a drug; 2) Uncertainty regarding the procedure of discontinuing a previously taken drug; 3) Uncertainty regarding the effectiveness of complex strategies used to discontinue one or more drugs. We developed specific methodological recommendations for each study type.

CONCLUSION

We offer a comprehensive definition of research aims, study designs, and methodological recommendations regarding DDTs. The typology we propose can help investigators clarify their research aims and study design. The type-specific methodological recommendation should improve the quality of future drug discontinuation trials.

Anticholinergic drug burden according to the anticholinergic drug scale and the German anticholinergic burden and their impact on cognitive function in multimorbid elderly German people: a multicentre observational study

OBJECTIVES

The aims of our study were to examine the anticholinergic drug use and to assess the association between anticholinergic burden and cognitive function in the multimorbid elderly patients of the MultiCare cohort.

SETTING

MultiCare was conducted as a longitudinal cohort study in primary care, located in eight different study centres in Germany.

PARTICIPANTS

3189 patients (59.3% female).

PRIMARY AND SECONDARY OUTCOME MEASURES

Baseline data were used for the following analyses. Drugs were classified according to the well-established anticholinergic drug scale (ADS) and the recently published German anticholinergic burden (German ACB). Cognitive function was measured using a letter digit substitution test (LDST) and a mixed-effect multivariate linear regression was performed to calculate the influence of anticholinergic burden on the cognitive function.

RESULTS

Patients used 1764 anticholinergic drugs according to ADS and 2750 anticholinergics according to the German ACB score (prevalence 38.4% and 53.7%, respectively). The mean ADS score was 0.8 (±1.3), and the mean German ACB score was 1.2 (±1.6) per patient. The most common ADS anticholinergic was furosemide (5.8%) and the most common ACB anticholinergic was metformin (13.7%). The majority of the identified anticholinergics were drugs with low anticholinergic potential: 80.2% (ADS) and 73.4% (ACB), respectively. An increasing ADS and German ACB score was associated with reduced cognitive function according to the LDST (-0.26; p=0.008 and -0.24; p=0.003, respectively).

CONCLUSION

Multimorbid elderly patients are in a high risk for using anticholinergic drugs according to ADS and German ACB score. We especially need to gain greater awareness for the contribution of drugs with low anticholinergic potential from the cardiovascular system. As anticholinergic drug use is associated with reduced cognitive function in multimorbid elderly patients, the importance of rational prescribing and also deprescribing needs to be further evaluated.

TRIAL REGISTRATION NUMBER

ISRCTN89818205.

Defining polypharmacy: in search of a more comprehensive determination method applied in a tertiary psychiatric hospital

AIMS

This cross-sectional pharmacoepidemiologic study examined the prevalence of polypharmacy and psychotropic polypharmacy among inpatients in a tertiary psychiatric hospital in Belgium.

METHODS

Current prescriptions of all inpatients suffering from mental disorders were extracted from the hospital Computerized Physician Order Entry. Two methods were used to examine definitive polypharmacy (defined as the concomitant use of at least five medicines): number of medicines per active component and per prescription. Psychotropic polypharmacy was defined as the concomitant use of at least two psychotropic medicines, based on the first counting, i.e., per active component.

RESULTS

In 292 included patients, the prevalence of definitive polypharmacy was 65.8%, with a mean number of 6.8 ± 4.2 medicines per patient. The most prevalent medicines were related to the central nervous system (55.7%), followed by medicines related to the gastro-intestinal (17.6%) and cardiovascular (9.4%) systems. A prevalence of psychotropic polypharmacy of 78.1% was observed, with a mean of 3.0 ± 1.7 psychotropic medicines per patient. Psychotropic polypharmacy was classified in same-class (71.5%), multi-class (82.5%), augmentation (20.6%), and adjuvant (35.5%) polypharmacy.

CONCLUSION

These findings are consistent with previous reports of highly prevalent polypharmacy in patients with mental disorders. Although, in some cases, polypharmacy can be an important part of good clinical practice, the high prevalence of both polypharmacy and psychotropic polypharmacy emphasizes that attention must be paid to the potentially associated risks. Consensus on the definition and method of determination of polypharmacy is needed to support further research.

Multimorbidity in Community-Dwelling Older Adults in Beijing: Prevalence and Trends, 2004-2017

OBJECTIVES

The burden of multimorbidity is increasing worldwide; however, little is known about trends in multimorbidity prevalence among Chinese older adults. We aimed to estimate the prevalence and trends of multimorbidity in community-dwelling older adults in Beijing.

DESIGN

Longitudinal.

SETTING AND PARTICIPANTS

Residents of Beijing aged ≥60 years.

MEASUREMENTS

Data were derived from the Beijing Longitudinal Study of Aging, using cluster, stratification, and random sampling. A total of 1842, 2914, and 1837 participants were included in the 2004, 2011, and 2017 sample, respectively. Multimorbidity was defined as the presence of two or more chronic conditions. Trends in multimorbidity were examined by age, sex, and geographical area.

RESULTS

The prevalence of multimorbidity was 32.5%, 52.9%, and 53.2% in 2004, 2011, and 2017, respectively, following an upward trend over time (P =0.003). A similar multimorbidity increase trend was present in age-, sex-, and region-stratified analysis for the 2004-2017 period (all P<0.05). The most common chronic diseases in 2004 were hypertension (34.3%), cataract (18.2%), coronary heart disease (CHD) (15.6%), stroke (14.3%), and chronic obstructive pulmonary disease (7.9%); in 2011, these were hypertension (49.6%), arthritis (30.9%), CHD (22.3%), stroke (21.9%), and diabetes (15.1%); in 2017, these were hypertension (54.4%), arthritis (26.3%), stroke (22.6%), cataract (20.5%), and CHD (20.1%). The proportion of older adults diagnosed with ≥3 chronic diseases significantly increased from 13.4% in 2004 to 73.1% in 2011 and 69.5% in 2017.

CONCLUSIONS

Multimorbidity is common and the overall and age-, sex-, and region-specific multimorbidity prevalence has been increasing over the past 13 years. Public health policies should account for the more complex care needs and growing costs associated with increasing prevalence of chronic disease and multimorbidity in Chinese older adults.

Prescribers' compliance with summary of product characteristics of dabigatran, rivaroxaban and apixaban-A European comparative drug utilization study

Despite a tremendous increase of direct oral anticoagulants (DOACs) prescriptions in recent years, only few data is available analysing prescribers' adherence to Summary of Product Characteristics (SmPC). We aimed to assess adherence to registered indications, contraindications, special warnings/precautions, and potential drug-drug interactions for three DOAC compounds (dabigatran, rivaroxaban, and apixaban) in six databases of five European countries (The Netherlands, United Kingdom, Spain, Denmark, and Germany). We included adult patients (≥18 years) initiating DOACs between 2008 and 2015. For several SmPC items, broad definitions were used due to ambiguous SmPC terms or lacking data in some databases. Within the study period, a DOAC was initiated in 407 576 patients (rivaroxaban: 240 985 (59.1%), dabigatran: 95 303 (23.4%), and apixaban: 71 288 (17.5%)). In 2015, non-valvular atrial fibrillation was the most common indication (>60% in most databases). For the whole study period, a substantial variation between the databases was found regarding the proportion of patients with at least one contraindication (inter-database range [IDR]: 8.2%-55.7%), with at least one special warning/precaution (IDR: 35.8%-75.2%) and with at least one potential drug-drug interaction (IDR: 22.4%-54.1%). In 2015, the most frequent contraindication was "malignant neoplasm" (IDR: 0.7%-21.3%) whereas the most frequent special warning/precaution was "prescribing to the elderly" (≥75 years; IDR: 25.0%-66.4%). The most common single compound class interaction was "concomitant use of non-steroidal anti-inflammatory drugs" (IDR: 3.0%-25.3%). Contraindications, special warnings/precautions, and potential drug-drug interactions were present in a relevant number of new DOAC users. Due to broad definitions used for some SmPC terms, overall proportions for contraindications are prone to overestimation. However, for unambiguous SmPC terms documented in the databases sufficiently, the respective estimates can be considered valid. Differences between databases might be related to "true" differences in prescription behaviour, but could also be partially due to differences in database characteristics.

Intervention elements to reduce inappropriate prescribing for older adults with multimorbidity receiving outpatient care: a scoping review

OBJECTIVE

Polypharmacy occurs in approximately 30% of older adults aged 65 years or more, particularly among those with multimorbidity. With polypharmacy, there is an associated risk of potentially inappropriate prescribing (PIP). The aims of this scoping review were to (1) identify the intervention elements that have been adopted to reduce PIP in the outpatient setting and (2) determine the behaviour change wheel (BCW) intervention functions performed by each of the identified intervention elements.

DESIGN

Scoping review DATA SOURCES: PubMed, Cumulative Index to Nursing and Allied Health Literature, EMBASE, Web of Science and Cochrane Library databases, grey literature sources, six key geriatrics journals and the reference lists of review papers.

STUDY SELECTION

All studies reporting an intervention or strategy that addressed PIP in the older adult population (age ≥65) with multimorbidity in the outpatient setting and in which the primary prescriber is the physician.

DATA EXTRACTION

Data extracted from the included studies can be broadly categorised into (1) publication details, (2) intervention details and (3) results. This was followed by data synthesis and analysis based on the BCW framework.

RESULTS

Of 8195 studies yielded, 80 studies were included in the final analysis and 14 intervention elements were identified. An average of two to three elements were adopted in each intervention. The three most frequently adopted intervention elements were medication review (70%), training (26.3%) and tool/instrument(s) (22.5%). Among medication reviews, 70% involved pharmacists. The 14 intervention elements were mapped onto five intervention functions: 'education', 'persuasion', 'training', 'environmental restructuring' and 'enablement'.

CONCLUSION

PIP is a multifaceted problem that involves multiple stakeholders. As such, interventions that address PIP require multiple elements to target the behaviour of the various stakeholders. The intervention elements and their corresponding functions identified in this scoping review will serve to inform the design of complex interventions that aim to reduce PIP.

Use of potentially inappropriate medication and polypharmacy in older adults: a repeated cross-sectional study

BACKGROUND

With age, the number of chronic conditions increases along with the use of medications. For several years, polypharmacy has been found to be on the increase in western societies. Polypharmacy is associated with an increased risk of adverse drug events (ADE). Medications called potentially inappropriate medications (PIM) have also been found to increase the risk of ADEs in an older population. In this study, which we conducted during a national information campaign to reduce PIM, we analysed the prevalence of PIM in an older adult population and in different strata of the variables age, gender, number of chronic conditions and polypharmacy and how that prevalence changed over time.

METHODS

This is a registry-based repeated cross-sectional study including two cohorts. Individuals aged 75 or older listed at a primary care centre in Blekinge on the 31st March 2011 (cohort 1, 15,361 individuals) or on the 31st December 2013 (cohort 2, 15,945 individuals) were included in the respective cohorts. Using a chi2 test, the two cohorts were compared on the variables age, gender, number of chronic conditions and polypharmacy. Use of five or more medications at the same time was the definition for polypharmacy.

RESULTS

Use of PIM decreased from 10.60 to 7.04% (p-value < 0.001) between 2011 and 2013, while prevalence of five to seven chronic conditions increased from 20.55 to 23.66% (p-value < 0.001). Use of PIM decreased in all strata of the variables age, gender number of chronic conditions and polypharmacy. Except for age 80-84 and males, where it increased, prevalence of polypharmacy was stable in all strata of the variables.

CONCLUSIONS

Use of potentially inappropriate medications had decreased in all variables between 2011 and 2013; this shows the possibility to reduce PIM with a focused effort. Polypharmacy does not increase significantly compared to the rest of the population.

Polypharmacy in a semirural community in Chile: Results from Maule Cohort

PURPOSE

Although polypharmacy in younger populations is a growing public health concern, most studies addressing polypharmacy focus on elderly populations. Thus, polypharmacy is not yet well understood in younger populations.

METHODS

Baseline data from the Maule Cohort (MAUCO) (adults aged 38-74 years) were used to study the prevalence of polypharmacy and associated participant characteristics using logistic and zero-inflated negative binomial regressions. Factors studied include age, sex, self-rated health, education, smoking, obesity, diabetes, hypertension, and other chronic conditions.

RESULTS

Polypharmacy was reported by 10% of participants overall, with higher prevalence among older (≥60 years) vs middle aged (<60 years) participants (overall: 20.9% vs 6.0%, P < .0001; for those reporting any medication use: 30.2% vs 15.9%, P < .0001). Middle-aged adults reported different patterns of medication use by polypharmacy status, while older adults reported similar medication use patterns regardless of polypharmacy. Diabetes, hypertension, dyslipidemia, cardiovascular diseases, hypothyroidism, and osteomuscular diseases were significantly associated with polypharmacy. Analyses also revealed that there are MAUCO participants who are potentially being undertreated for conditions like depression.

CONCLUSIONS

Research into medication use among younger and middle-aged adults and development of possible tools to deprescribe medications in this population are warranted. However, it is important that patients who need treatment receive it, and so both potential overtreatment and undertreatment need further study in this population.

Epidemiology of knee osteoarthritis in general practice: a registry-based study

OBJECTIVES

The present study investigated (1) trends in the prevalence and incidence of knee osteoarthritis over a 20-year period (1996-2015); (2) trends in multimorbidity and (3) trends in drug prescriptions.

DESIGN

Registry-based study.

SETTING

Primary healthcare, Flanders, Belgium.

PARTICIPANTS

Data were collected from Intego, a general practice-based morbidity registration network. In the study period between 1996 and 2015, data from 440 140 unique patients were available.

OUTCOME MEASURES

Trends in prevalence and incidence rate of knee osteoarthritis were computed using joinpoint regression analysis. The mean disease count was calculated to assess trends in multimorbidity. In addition, the number of drug prescriptions was identified by the Anatomical Therapeutic Chemical Classification code and trends were equally recorded with joinpoint regression.

RESULTS

The total age-standardised prevalence of knee osteoarthritis increased from 2.0% in 1996 to 3.6% in 2015. An upward trend was observed with an average annual percentage change (AAPC) of 2.5 (95% CI 2.2 to 2.9). In 2015, the prevalence rates in the 10 year age groups from the 45-54 years age group onwards were 3.1%, 5.6%, 9.0% and 13.9%, to reach 15.0% in people aged 85 years and older. The incidence remained stable with 3.75‰ in 2015 (AAPC=-0.5, 95% CI -1.4 to 0.5). The mean disease count significantly increased from 1.63 to 2.34 (p<0.001) for incident cases with knee osteoarthritis. Finally, we observed a significantly positive trend in the overall prescription of acetaminophen (AAPC=6.7, 95% CI 5.6 to 7.7), weak opioids (AAPC=4.0, 95% CI 0.9 to 7.3) and glucosamine (AAPC=8.6, 95% CI 2.4 to 15.1). Oral non-steroidal anti-inflammatory drugs were most prescribed, with a prevalence rate of 29.8% in 2015, but remained stable during the study period (AAPC=0.0, 95% CI -1.1 to 1.1).

CONCLUSIONS

Increased prevalence, multimorbidity, and number of drug prescriptions confirm an increased burden of knee osteoarthritis. In future, these trends can be used to prioritise initiatives for improvement in care.

Multimorbidity and complex multimorbidity in Brazilian rural workers

OBJECTIVE

To estimate the prevalence of multimorbidity and complex multimorbidity in rural workers and their association with sociodemographic characteristics, occupational contact with pesticides, lifestyle and clinical condition.

METHODS

This is a cross-sectional epidemiological study with 806 farmers from the main agricultural municipality of the state of Espírito Santo/Brazil, conducted from December 2016 to April 2017. Multimorbidity was defined as the presence of two or more chronic diseases in the same individual, while complex multimorbidity was classified as the occurrence of three or more chronic conditions affecting three or more body systems. Socio-demographic data, occupational contact with pesticides, lifestyle data and clinical condition data were collected through a structured questionnaire. Binary logistic regression was conducted to identify risk factors for multimorbidity.

RESULTS

The prevalence of multimorbidity among farmers was 41.5% (n = 328), and complex multimorbidity was 16.7% (n = 132). More than 77% of farmers had at least one chronic illness. Hypertension, dyslipidemia and depression were the most prevalent morbidities. Being 40 years or older (OR 3.33, 95% CI 2.06-5.39), previous medical diagnosis of pesticide poisoning (OR 1.89, 95% CI 1.03-3.44), high waist circumference (OR 2.82, CI 95% 1.98-4.02) and worse health self-assessment (OR 2.10, 95% CI 1.52-2.91) significantly increased the chances of multimorbidity. The same associations were found for the diagnosis of complex multimorbidity.

CONCLUSION

We identified a high prevalence of multimorbidity and complex multimorbidity among the evaluated farmers. These results were associated with increased age, abdominal fat, pesticide poisoning, and poor or fair health self-assessment. Public policies are necessary to prevent, control and treat this condition in this population.