Patterns of multimorbidity in internal medicine patients in Swiss university hospitals: a multicentre cohort study

The worse we feel, the more intensively we need to stick together: a qualitative study of couples' emotional co-regulation of the challenge of multimorbidity

Introduction

Being faced with multimorbidity (i.e., being diagnosed with at least two chronic conditions), is not only demanding in terms of following complicated medical regimes and changing health behaviors. The changes and threats involved also provoke emotional responses in the patients but also in their romantic partners. This study aims at exploring the ways of emotional co-regulation that couples facing multimorbidity express when interviewed together.

Method

N = 15 opposite sex couples with one multimorbid patient after an acute health crisis that led to hospitalization were asked in a semi-structured interview about how they found ways to deal with the health situation, what they would recommend to other couples in a similar situation, and how they regulated their emotional responses. Interviews were analyzed qualitatively following open, axial, and selective coding, as in the grounded theory framework.

Results

Emerging categories from the romantic partners' and the patients' utterances revealed three main categories: First, overlapping cognitive appraisals about the situation (from fighting spirit to fatalism) and we-ness (construing the couple self as a unit) emerged as higher order factor from the utterances. Second, relationship-related strategies including strategies aimed at maintaining high relationship quality in spite of the asymmetric situation like strengthening the common ground and balancing autonomy and equity in the couple were often mentioned. Third, some couples mentioned how they benefit from individual strategies that involve fostering individual resources of the partners outside the couple relationship (such as cultivating relationships with grandchildren or going outdoors to nature).

Discussion

Results underline the importance of a dyadic perspective not only on coping with disease but also on regulating the emotional responses to this shared challenging situation. The utterances of the couples were in line with earlier conceptualizations of interpersonal emotion regulation and dyadic perspectives on we-disease. They broaden the view by integrating the interplay between individual and interpersonal regulation strategies and underline the importance of balancing individual and relational resources when supporting couples faced with chronic diseases.

Patterns of multimorbidity and some psychiatric disorders: A systematic review of the literature

Objective

The presence of two or more chronic diseases results in worse clinical outcomes than expected by a simple combination of diseases. This synergistic effect is expected to be higher when combined with some conditions, depending on the number and severity of diseases. Multimorbidity is a relatively new term, with the first fundamental definitions appearing in 2015. Studies usually define it as the presence of at least two chronic medical illnesses. However, little is known regarding the relationship between mental disorders and other non-psychiatric chronic diseases. This review aims at investigating the association between some mental disorders and non-psychiatric diseases, and their pattern of association.

Methods

We performed a systematic approach to selecting papers that studied relationships between chronic conditions that included one mental disorder from 2015 to 2021. These were processed using Covidence, including quality assessment.

Results

This resulted in the inclusion of 26 papers in this study. It was found that there are strong associations between depression, psychosis, and multimorbidity, but recent studies that evaluated patterns of association of diseases (usually using clustering methods) had heterogeneous results. Quality assessment of the papers generally revealed low quality among the included studies.

Conclusions

There is evidence of an association between depressive disorders, anxiety disorders, and psychosis with multimorbidity. Studies that tried to examine the patterns of association between diseases did not find stable results.

Systematic review registration

https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021216101, identifier: CRD42021216101.

Identifying multimorbidity clusters in an unselected population of hospitalised patients

Multimorbidity (multiple coexisting chronic health conditions) is common and increasing worldwide, and makes care challenging for both patients and healthcare systems. To ensure care is patient-centred rather than specialty-centred, it is important to know which conditions commonly occur together and identify the corresponding patient profile. To date, no studies have described multimorbidity clusters within an unselected hospital population. Our aim was to identify and characterise multimorbidity clusters, in a large, unselected hospitalised patient population. Linked inpatient hospital episode data were used to identify adults admitted to hospital in Grampian, Scotland in 2014 who had ≥ 2 of 30 chronic conditions diagnosed in the 5 years prior. Cluster analysis (Gower distance and Partitioning around Medoids) was used to identify groups of patients with similar conditions. Clusters of conditions were defined based on clinical review and assessment of prevalence within patient groups and labelled according to the most prevalent condition. Patient profiles for each group were described by age, sex, admission type, deprivation and urban–rural area of residence. 11,389 of 41,545 hospitalised patients (27%) had ≥ 2 conditions. Ten clusters of conditions were identified: hypertension; asthma; alcohol misuse; chronic kidney disease and diabetes; chronic kidney disease; chronic pain; cancer; chronic heart failure; diabetes; hypothyroidism. Age ranged from 51 (alcohol misuse) to 79 (chronic heart failure). Women were a higher proportion in the chronic pain and hypothyroidism clusters. The proportion of patients from the most deprived quintile of the population ranged from 6% (hypertension) to 14% (alcohol misuse). Identifying clusters of conditions in hospital patients is a first step towards identifying opportunities to target patient-centred care towards people with unmet needs, leading to improved outcomes and increased efficiency. Here we have demonstrated the face validity of cluster analysis as an exploratory method for identifying clusters of conditions in hospitalised patients with multimorbidity.

Optimizing antimicrobial use: challenges, advances and opportunities

An optimal antimicrobial dose provides enough drug to achieve a clinical response while minimizing toxicity and development of drug resistance. There can be considerable variability in pharmacokinetics, for example, owing to comorbidities or other medications, which affects antimicrobial pharmacodynamics and, thus, treatment success. Although current approaches to antimicrobial dose optimization address fixed variability, better methods to monitor and rapidly adjust antimicrobial dosing are required to understand and react to residual variability that occurs within and between individuals. We review current challenges to the wider implementation of antimicrobial dose optimization and highlight novel solutions, including biosensor-based, real-time therapeutic drug monitoring and computer-controlled, closed-loop control systems. Precision antimicrobial dosing promises to improve patient outcome and is important for antimicrobial stewardship and the prevention of antimicrobial resistance.

Discharging the complex patient - changing our focus to patients' networks of care providers

Background

A disconnect exists between the idealized model of every patient having a family physician (FP) who acts as the central hub for care, and the reality of health care where patients must navigate a network of different providers. This disconnect is particularly evident when hospitalized multimorbid patients transition back into the community. These discharges are identified as high-risk due to lapses in care continuity. The aim of this study was to identify and explore the networks of care providers in a sample of hospitalized, complex patients, and better understand the nature of their attachments to these providers as a means of discovering novel approaches for improving discharge planning.

Methods

This was a constructivist grounded theory study. Data included interviews from 30 patients admitted to an inpatient internal medicine service of a midsized academic hospital in Ontario, Canada. Analysis and data collection proceeded iteratively with sampling progressing from purposive to theoretical.

Results

We identified network of care configurations commonly found in patients with multiple medical comorbidities receiving care from multiple different providers admitted to an internal medicine service. FPs and specialists form the network’s scaffold. The involvement of physicians in the network dictated not only how patients experienced transitions in care but the degree of reliance on social supports and personal capacities. The ideal for the multimorbid patient is an optimally involved FP that remains at the centre, even when patients require more subspecialized care. However, in cases where a rostered FP is non-existent or inadequate, increased involvement and advocacy from specialists is crucial.

Conclusions

Our results have implications for transition planning in hospitalized complex patients. Recognizing salient network features can help identify patients who would benefit from enhanced discharge support.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12913-021-06841-2.

Implementation and preliminary testing of a theory-guided nursing discharge teaching intervention for adult inpatients aged 50 and over with multimorbidity: a pragmatic feasibility study protocol

BACKGROUND

Discharge teaching by nurses during hospitalization is essential to provide multimorbid inpatients with the knowledge and skills to self-manage their health conditions. However, available disease-specific teaching guidelines do not address the cumulative complexity of multiple chronic diseases that occur with greater frequency in older adults. Therefore, there is a need for a discharge teaching intervention which uses concepts that specifically address the needs of these patients, such as considering their level of activation (i.e. knowledge, skills and confidence to self-manage their health) and the burden of multimorbid disease. The objectives of this pragmatic study will be to (1) test the feasibility of implementing a nursing discharge teaching intervention and (2) conduct a preliminary test of this novel discharge teaching intervention with adult inpatients age 50 or greater who have multiple comorbid conditions.

METHODS

This study uses a two-group pre-posttest design. Participants are drawn from medical units in three hospitals in the French-speaking part of Switzerland. The implementation of the intervention will be facilitated by implementation strategies from the Theoretical Domains Framework and the Behavior Change Wheel and will target change in nurses' teaching behaviours. Implementation outcomes will include measures of feasibility of the implementation strategies and the intervention process. Participants in the intervention group will receive tailored discharge teaching by trained teaching nurses. Patient outcomes will inform the preliminary testing of the intervention and will be measured with validated questionnaires assessing patients' activation level, health confidence, perceived readiness for discharge, experience with the discharge process and rate of and time to readmission.

DISCUSSION

The study takes a pragmatic approach to examining the feasibility of implementing the discharge teaching intervention to contribute to the knowledge development within the context of the real-world practice setting. Results will provide the foundation for clinical trials to build evidence for widespread adoption of this intervention.

TRIAL REGISTRATION

The trial is registered at ClinicalTrials.gov (ID: NCT04253665 ) on the 30 of January 2020 and has been approved by the Cantonal Ethics Committee Vaud in Switzerland (2020-00141).

Digital health literacy intervention to support maternal, child and family health in primary healthcare settings of Pakistan during the age of coronavirus: study protocol for a randomised controlled trial

INTRODUCTION

There is a need to continue primary healthcare services through digital communication for disadvantaged women living in underdeveloped areas of Pakistan, especially in the age of the coronavirus pandemic, social distancing and lockdown of communities. This project will be the first of its kind in aiming to implement a digital health literacy intervention, using smartphone and internet, to disadvantaged women through female community healthcare workers. Improved health literacy in women of reproductive years is known to promote maternal, child and family health overall.

METHODS AND ANALYSIS

The study will include a baseline survey, a pre- and post-test survey and a 3-month lasting intervention on (1) hygiene and prevention and (2) coronavirus awareness and prevention. Women of reproductive years will be sampled from disadvantaged areas across the four provinces of Pakistan (Baluchistan, Khyber Pakhtunkhwa, Punjab and Sindh), and the selection criteria will be poor, semiliterate or illiterate, belonging to underdeveloped neighbourhoods devoid of universal healthcare coverage and dependent on free primary health services. A target of 1000 women will comprise the sample, with 500 women each assigned randomly to the intervention and control groups. Analysis of variance and multivariate analysis will be used for analysing the intervention's effects compared with the control group.

ETHICS AND DISSEMINATION

Ethics approval for this study has been received from the Internal Review Board of the Forman Christian College University (reference number: IRB-252/06-2020). Results will be published in academic journals of repute and dissemination to the international scientific community and stakeholders will also be planned through workshops.

TRIAL REGISTRATION NUMBER

NCT04603092.

Patients' preferences for health insurance coverage of new technologies for treating chronic diseases in China: a discrete choice experiment

OBJECTIVES

Our study aimed to inform insurance decision-making in China by investigating patients' preferences for insurance coverage of new technologies for treating chronic diseases.

DESIGN

We identified six attributes of new medical technologies for treating chronic diseases and used Bayesian-efficient design to generate choice sets for a discrete choice experiment (DCE). After conducting the DCE, we analysed the data by mixed logit regression to examine patient-reported preferences for each attribute.

SETTING

The DCE was conducted with patients in six tertiary hospitals from four cities in Jiangsu province.

PARTICIPANTS

Patients aged 18 years or older with a history of diabetes or hypertension and taking medications regularly for more than 1 year were recruited (n=408).

RESULTS

The technology attributes regarding expected gains in health outcomes from the treatment, high likelihood of effective treatment and low incidence of serious adverse events were significant, positive predictors of choice by the study patients (p<0.01). The out-of-pocket cost was a significant, negative attribute for the entire study sample (β = -0.258, p<0.01) and for the patients with Urban-Rural Residents Basic Medical Insurance (URRBMI) (β = -0.511, p<0.01), but not for all the patients with Urban Employees Basic Medical Insurance (UEBMI) (β = -0.071, p>0.05). The severity of target disease was valued by patients with lower EQ-5D-5L index value as well as URRBMI enrollees.

CONCLUSIONS

Patients highly valued the health benefits and risks of new technologies, which were closely linked to their feelings of disease and perceptions of health-related quality of life. However, there existed heterogeneity in preferences between URRBMI and UEBMI patients. Further efforts should be made to reduce the gap between insurance schemes and make safe and cost-effective new technologies as a priority for health insurance reimbursement.

Niacin, lutein and zeaxanthin and physical activity have an impact on Charlson comorbidity index using zero-inflated negative binomial regression model: National Health and Nutrition Examination Survey 2013-2014

Background

Combined with the increasing life expectancy, chronic medical conditions have gradually become the dominant cause of death and disability, and multimorbidity became an increasingly serious public health challenge. However, most existing studies have focused on the coexistence of specific diseases or relatively few diseases. Given one person may have multiple diseases at the same time, we applied Charlson Comorbidity Index (CCI) to systematically evaluate one’s 10-year mortality. In this study, we explored the effects of nutrients and physical activity on CCI using National Health and Nutrition Examination Survey (NHANES) 2013–2014 data.

Methods

The study sample consists of one continuous cycle (2013–2014) of NHANES, and 4386 subjects were included in the study. Nutrients intake was measured by dietary recall, and physical activity was evaluated by the Global Physical Activity Questionnaire respectively. Besides, CCI was the sum of the scores assigned for each medical condition. We utilized zero-inflated negative binomial (ZINB) model to investigate the effects in nutrients intake and physical activity on CCI by adjusting for seven sociodemographic characteristics, smoking and drinking.

Results

Among the 4386 participants, 2018 (68.7%) are Non-Hispanic White, over half participants (78.6%) drink. In count part (CCI ≥ 0), holding other variables constant, the expected change in CCI for a one-unit increase in niacin is 1.621(RR = 1.621, p = 0.016), in lutein + zeaxanthin is 0.974 (RR = 0.974, p = 0.031), and in sedentary time is 1.035 (RR = 1.035, p = 0.005). Moreover, those who do not have vigorous work activity would be more likely to have higher CCI than those who have (RR = 1.275, P = 0.045). In logit part (CCI = 0), the log odds of having CCI equals zero would increase by 0.541 and 0.708 for every additional vigorous recreational activity (OR = 0.541, p = 0.004) and moderate recreational activity (OR = 0.708, p = 0.017) respectively.

Conclusions

Lutein and zeaxanthin intake, vigorous work activity, vigorous recreational activity and moderate recreational activity may be good for one’s health. Rather, increasing niacin intake and sedentary activity may be likely to raise 10-year mortality. Our findings may be significant for preventing diseases and improving health, furthermore, reducing people’s financial burden on healthcare.