Factors associated with patients' and GPs' assessment of the burden of treatment in multimorbid patients: a cross-sectional study in primary care

Measuring treatment burden in people with Type 2 Diabetes Mellitus (T2DM): a mixed-methods systematic review

BACKGROUND

Measuring treatment burden is important for the effective management of Type 2 Diabetes Mellitus (T2DM) care. The purpose of this systematic review was to identify the most robust approach for measuring treatment burden in people with T2DM based on existing evidence.

METHODS

Articles from seven databases were retrieved. Qualitative, quantitative, and mixed-methods studies examining treatment burden in adults with T2DM and/or reporting relevant experiences were included. A convergent segregated approach with a mixed-methods design of systematic review was employed, creating a measurement framework in a narrative review for consistent critical appraisal. The quality of included studies was assessed using the Joanna Briggs Institute tool. The measurement properties of the instruments were evaluated using the Consensus based Standards for selection of Health Measurement Instruments (COSMIN) checklist.

RESULTS

A total of 21,584 records were screened, and 26 articles were included, comprising 11 quantitative, 11 qualitative, and 4 mixed-methods studies. A thematic analysis of qualitative data extracted from the included articles summarised a measurement framework encompassing seven core and six associated measurements. The core measurements, including financial, medication, administrative, lifestyle, healthcare, time/travel, and medical information burdens, directly reflect the constructs pertinent to the treatment burden of T2DM. In contrast, the associated measurement themes do not directly reflect the burdens or are less substantiated by current evidence. The results of the COSMIN checklist evaluation demonstrated that the Patient Experience with Treatment and Self-management (PETS), Treatment Burden Questionnaire (TBQ), and Multimorbidity Treatment Burden Questionnaire (MTBQ) have robust instrument development processes. These three instruments, with the highest total counts combining the number of themes covered and "positive" ratings in COSMIN evaluation, were in the top tertile stratification, demonstrating superior applicability for measuring T2DM treatment burden.

CONCLUSIONS

This systematic review provides evidence for the currently superior option of measuring treatment burden in people with T2DM. It also revealed that most current research was conducted in well-resourced institutions, potentially overlooking variability in under-resourced settings.

Treatment burden and regimen fatigue among patients with HIV and diabetes attending clinics of Tikur Anbessa specialized hospital

Nascent studies showed that patients with chronic medical illnesses such as diabetes mellitus (DM) and HIV/AIDS are highly vulnerable to face both treatment burden and regimen fatigue. However, an attempt made so far in this sphere in sub-Saharan African health care context is dearth. Thus, this study aimed to determine the level of treatment burden and regimen fatigue of diabetic and HIV patients attending adult diabetic and ART clinics of TASH and explore patients' and health care workers' propositions to reduce treatment burden and regimen fatigue. An explanatory sequential mixed methods study was conducted at the adult HIV and DM clinics of TASH, Addis Ababa, Ethiopia from February 01-March 30, 2022. Simple random and purposive sampling techniques were employed to select participants for quantitative and qualitative studies, respectively. Descriptive analysis was done to summarize the quantitative data. Logistic and linear regression analyses were performed to identify predictors of treatment burden and regimen fatigue, respectively. P value < 0.05 was considered statistically significant. Qualitative data was analyzed by using a thematic analysis. A total of 300 patients (200 diabetes and 100 HIV) were included in the quantitative study. For the qualitative study, 14 patients and 10 health care workers (six nurses and four medical doctors) were included. Participants' mean global Treatment Burden Questionnaire (TBQ) and Treatment Regimen Fatigue Scale (TRFS) score were 28.86 ± 22.13 and - 42.82 ± 17.45, respectively. Roughly, 12% of patients experienced a high treatment burden. The presence of two or more comorbidities (adjusted odds ratio [AOR] = 7.95, 95% confidence interval [CI] 1.59-39.08), daily ingestion of more than five types of prescribed medications (AOR = 6.81, 95%CI 1.59-29.14), and good knowledge about DM and/or HIV (AOR = 0.33, 95%CI 0.12-0.92) were predictors of treatment burden. Poor availability of medications (β = 0.951, p < 0.001) was the only predictor of regimen fatigue. Patients and health care workers primarily proposed to foster self-care efficacy, advance administrative services of the clinic and hospital, and improve healthcare system provision. The findings of this study unveiled that a considerable proportion of patients experienced low levels of treatment burden and regimen fatigue. This study showed that boosting the patients' self-care efficacy, upgrading administrative services of the clinic and hospital, and promoting the healthcare system provision had enormous significance in reducing treatment burden and regimen fatigue. Therefore, when designing patient-specific healthcare interventions for both HIV and diabetic patients' various factors affecting both treatment burden and regimen fatigue should be considered to achieve the desired goals of therapy.

Psychosocial factors associated with medication burden among community-dwelling older people with multimorbidity

BACKGROUND

Older people with multimorbidity are often prescribed multiple medication treatments, leading to difficulties in self-managing their medications and negative experiences in medication use. The perceived burden arising from the process of undertaking medication self-management practices has been described as medication burden. Preliminary evidence has suggested that patients' demographic and clinical characteristics may impact their medication burden. Little is known regarding how psychosocial factors affect medication burden in older people with multimorbidity. The aim of this study was to identify psychosocial factors associated with medication burden among community-dwelling older people with multimorbidity.

METHODS

This is a secondary analysis of a cross-sectional study. A total of 254 older people with three or more chronic conditions were included in the analysis. Participants were assessed for demographics, medication burden, psychosocial variables (depression, medication-related knowledge, beliefs, social support, self-efficacy, and satisfaction), disease burden, and polypharmacy. Medication burden was measured using items from the Treatment Burden Questionnaire. Univariate and multivariate linear regression models explored factors associated with medication burden.

RESULTS

The mean age of participants was 70.90 years. Participants had an average of 4.40 chronic conditions, and over one-third had polypharmacy. Multivariate analysis showed that the participants' satisfaction with medication treatments (β = -0.32, p < 0.001), disease burden (β = 0.25, p = 0.009), medication self-efficacy (β = -0.21, p < 0.001), polypharmacy (β = 0.15, p = 0.016), and depression (β = 0.14, p = 0.016) were independently associated with medication burden. Other factors, including demographic characteristics, medication knowledge, medication beliefs, medication social support, and the number or specific types of chronic conditions, were not independently associated with medication burden.

CONCLUSIONS

Poor medication treatment satisfaction, great disease burden, low medication self-efficacy, polypharmacy, and depression may increase individuals' medication burden. Understanding psychosocial aspects associated with medication burden provides an important perspective for identifying older people who are overburdened by their medication treatments and offering individualised treatments to relieve their burden.

Scoping review of measures of treatment burden in patients with multimorbidity: advancements and current gaps

OBJECTIVES

To identify, assess, and summarize the measures to assess burden of treatment in patients with multimorbidity (BoT-MMs) and their measurement properties.

STUDY DESIGN AND SETTING

MEDLINE via PubMed was searched from inception until May 2021. Independent reviewers extracted data from studies in which BoT-MMs were developed, validated, or reported as used, including an assessment of their measurement properties (e.g., validity and reliability) using the COnsensus-based Standards for the selection of health Measurement INstruments.

RESULTS

Eight BoT-MMs were identified across 72 studies. Most studies were performed in English (68%), in high-income countries (90%), without noting urban-rural settings (90%). No BoT-MMs had both sufficient content validity and internal consistency; some measurement properties were either insufficient or uncertain (e.g., responsiveness). Other frequent limitations of BoT-MMs included absent recall time, presence of floor effects, and unclear rationale for categorizing and interpreting raw scores.

CONCLUSION

The evidence needed for use of extant BoT-MMs in patients with multimorbidity remains insufficiently developed, including that of suitability for their development, measurement properties, interpretability of scores, and use in low-resource settings. This review summarizes this evidence and identifies issues needing attention for using BoT-MMs in research and clinical practice.

Understanding the treatment burden of people with chronic conditions in Kenya: A cross-sectional analysis using the Patient Experience with Treatment and Self-Management (PETS) questionnaire

In Kenya, non-communicable diseases (NCDs) are an increasingly important cause of morbidity and mortality, requiring both better access to health care services and self-care support. Evidence suggests that treatment burdens can negatively affect adherence to treatment and quality of life. In this study, we explored the treatment and self-management burden among people with NCDs in in two counties in Western Kenya. We conducted a cross-sectional survey of people newly diagnosed with diabetes and/or hypertension, using the Patient Experience with Treatment and Self-Management (PETS) instrument. A total of 301 people with diabetes and/or hypertension completed the survey (63% female, mean age = 57 years). They reported the highest treatment burdens in the domains of medical and health care expenses, monitoring health, exhaustion related to self-management, diet and exercise/physical therapy. Treatment burden scores differed by county, age, gender, education, income and number of chronic conditions. Younger respondents (<60 years) reported higher burden for medication side effects (p<0.05), diet (p<0.05), and medical appointments (p = 0.075). Those with no formal education or low income also reported higher burden for diet and for medical expenses. People with health insurance cover reported lower (albeit still comparatively high) burden for medical expenses compared to those without it. Our findings provide important insights for Kenya and similar settings where governments are working to achieve universal health coverage by highlighting the importance of financial protection not only to prevent the economic burden of seeking health care for chronic conditions but also to reduce the associated treatment burden.

Catalogue of socioeconomic disparities and characteristics of 199+ chronic conditions-A nationwide register-based population study

BACKGROUND

Real-world information on socioeconomic differences within and between chronic conditions represents an important data source for treatments and decision-makers executing and prioritising healthcare resources.

AIMS

The aim of this study was to estimate the prevalence and mean of socioeconomic disparities from educational, income, and socioeconomic positions of 199 chronic conditions and disease groups, including sex and age group estimates, for use in planning of care services and prioritisation, by healthcare professionals, decision-makers and researchers.

METHODS

The study population includes all Danish residents 16 years and above, alive on 1 January 2013 (n = 4,555,439). The data was established by linking seven national registers encompassing educational achievements, incomes, socioeconomic positions, hospital- and general practice services, and filled-in out-of-hospital prescriptions. The health register data were used to identify the 199+ chronic conditions. Socioeconomic differences were primarily measured as differences in educational prevalence levels from low to high educational achievements using a ratio. Furthermore, multiple binary logistic regression models were carried out to control for potential confounding and residual correlations of the crude estimates.

RESULTS

The prevalence of having one or more chronic conditions for patients with no educational achievement was 768 per thousand compared to 601.3 for patients with higher educational achievement (ratio 1.3). Across disease groups, the highest educational differences were found within disease group F-mental and behavioural (ratio 2.5), E-endocrine, nutritional and metabolic disease (ratio 2.4), I-diseases of the circulatory system (ratio 2.1) and, K-diseases of the digestive system (ratio 2.1). The highest educational differences among the 29 common diseases were found among schizophrenia (ratio 5.9), hyperkinetic disorders (ratio 5.2), dementia (ratio 4.9), osteoporosis (ratio 3.9), type 2 diabetes (ratio 3.8), chronic obstructive pulmonary disease COPD (ratio 3.3), heart conditions and stroke (ratios ranging from 2.3-3.1).

CONCLUSIONS

A nationwide catalogue of socioeconomic disparities for 199+ chronic conditions and disease groups is catalogued and provided. The catalogue findings underline a large scope of socioeconomic disparities that exist across most chronic conditions. The data offer essential information on the socioeconomic disparities to inform future socially differentiated treatments, healthcare planning, etiological, economic, and other research areas.

Treatment burden among patients with heart failure attending cardiac clinic of Tikur Anbessa Specialized Hospital: an explanatory sequential mixed methods study

Emerging evidences hypothesized that patients with heart failure are susceptible to experience treatment burden. Despite this fact, no attempt was made so far to address this neoteric construct in the sub-Saharan African health care context. Hence, this study aimed to assess patients' and health care providers' perspectives on how to decrease treatment burden among patients with heart failure attending the adult cardiac clinic of Tikur Anbessa Specialized Hospital (TASH). An explanatory sequential mixed methods study was conducted at the adult cardiac clinic of TASH, Addis Ababa, Ethiopia from August 01 to September 30, 2021. Simple random and purposive sampling techniques were employed to select participants for quantitative and qualitative studies, respectively. Descriptive analysis was done to summarize the quantitative data. Logistic regression analysis was performed to identify predictors of treatment burden. P value < 0.05 was considered to declare statistical significance. Qualitative data were analyzed by using thematic analysis. A total of 325 patients were enrolled in the quantitative study. For the qualitative study, 14 patients and 11 health care providers (five nurses and six medical doctors) were included. Participants mean global Treatment Burden Questionnaire (TBQ-15) score was 27.22 ± 19.35. Approximately 12% (n = 38) patients indicated high treatment burden (TBQ-15 global score ≥ 59) with a median global score of 63(60-69). Higher education level (adjusted odds ratio [AOR] = 6.66, 95% confidence interval [CI]: 1.16-38.43), presence of two and more comorbidities (AOR = 2.74, 95%CI: 1.02-7.39), daily intake of more than five pills (AOR = 7.38, 95%CI: 2.23-24.41), poor medication availability (AOR = 3.33, 95%CI: 1.33-8.36), presence of medication adverse effects (AOR = 4.04, 95%CI: 1.63-10.03), and higher monthly cost of medication (AOR = 5.29, 95%CI: 1.46-19.18) were predictors of treatment burden. Patients and healthcare providers' propositions were primarily focused on improving self-care management, structural organization of the clinic and hospital, and healthcare system provision. Our findings demonstrated that a substantial proportion of patients faced low levels of treatment burden. This study unveiled that improving self-care management, structural organization of the clinic, and healthcare system provision had paramount importance to reducing treatment burden. Hence, factors affecting treatment burden should be considered when designing tailored healthcare interventions for patients with heart failure.

Self-Management and Its Influential Factors Among Individuals With Anxiety Disorders: A Cross-Sectional Study

Self-management has been proposed as a crucial pathway to recovery from mental disorders. The aim of the current study was to explore self-management and its influential factors among individuals with anxiety disorders. Data were from a cross-sectional survey of 180 individuals diagnosed with anxiety disorders. Sociodemographic characteristics, anxiety, self-management, and social support were investigated and analyzed. Participants' mean self-management score was 79.04, with a score rate of 63%. Economic burden, number of relapses, and anxiety severity significantly influenced self-management among participants. Increased social support was correlated with greater self-management. Mental health nursing services should be directed toward individuals with anxiety disorders. [Journal of Psychosocial Nursing and Mental Health Services, 61(4), 27-35.].

Adaptation and validation of a German version of the Multimorbidity Treatment Burden Questionnaire

Background

Patients with multiple long-term conditions often face a variety of challenges arising from the requirements of their health care. Knowledge of perceived treatment burden is crucial for optimizing treatment. In this study, we aimed to create a German version of the Multimorbidity Treatment Burden Questionnaire (MTBQ) and to evaluate its validity.

Methods

The steps to translate the MTBQ included forward/back translation, cognitive interviews (n = 6) and a pilot test (n = 7). Psychometric properties of the scale were assessed in a cross-sectional survey with primary care patients aged 65 and older with at least 3 long-term conditions (n = 344). We examined the distribution of responses, dimensionality, internal reliability and construct validity.

Results

Cognitive interviewing and piloting led to minor modifications and showed overall good face validity and acceptability. As expected, we observed a positively skewed response distribution for all items. Reliability was acceptable with McDonald’s omega = 0.71. Factor analysis suggested one common factor while model fit indices were inconclusive. Predefined hypotheses regarding the construct validity were supported by negative associations between treatment burden and health-related quality of life, self-rated health, social support, patient activation and medication adherence, and positive associations between treatment burden and number of comorbidities. Treatment burden was found to be higher in female participants (Mdn₁ = 6.82, Mdn₂ = 4.55; U = 11,729, p = 0.001) and participants with mental health diagnoses (Mdn₁ = 9.10, Mdn₂ = 4.55; U = 3172, p = 0.024).

Conclusions

The German MTBQ exhibited good psychometric properties and can be used to assess the perceived treatment burden of patients with multimorbidity.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12955-022-01993-z.

Change in treatment burden among people with multimorbidity: a follow-up survey

Background

Treatment burden is the effort required of patients to look after their health and the impact this has on their functioning and wellbeing. Little is known about change in treatment burden over time for people with multimorbidity.

Aim

To quantify change in treatment burden, determine factors associated with this change, and evaluate a revised single-item measure for high treatment burden in older adults with multimorbidity.

Design and setting

A 2.5-year follow-up of a cross-sectional postal survey via six general practices in Dorset, England.

Method

GP practices identified participants of the baseline survey. Data on treatment burden (measured using the Multimorbidity Treatment Burden Questionnaire; MTBQ), sociodemographics, clinical variables, health literacy, and financial resource were collected. Change in treatment burden was described, and associations assessed using regression models. Diagnostic test performance metrics evaluated the revised single-item measure relative to the MTBQ.

Results

In total, 300 participants were recruited (77.3% response rate). Overall, there was a mean increase of 2.6 (standard deviation 11.2) points in treatment burden global score. Ninety-eight (32.7%) and 53 (17.7%) participants experienced an increase and decrease, respectively, in treatment burden category. An increase in treatment burden was associated with having >5 long-term conditions (adjusted β 8.26, 95% confidence interval [CI] = 4.20 to 12.32) and living >10 minutes (versus ≤10 minutes) from the GP (adjusted β 3.88, 95% CI = 1.32 to 6.43), particularly for participants with limited health literacy (mean difference: adjusted β 9.59, 95% CI = 2.17 to 17.00). The single-item measure performed moderately (sensitivity 55.7%; specificity 92.4%.

Conclusion

Treatment burden changes over time. Improving access to primary care, particularly for those living further away from services, and enhancing health literacy may mitigate increases in burden.

Comorbidities and depressive symptoms among older adults with asthma

OBJECTIVE

Depression is associated with poor outcomes among older adults with asthma, and the presence of multiple comorbidities may magnify this relationship. We sought to determine the association of comorbidities with depressive symptoms among older adults with asthma.

METHODS

Secondary analysis of data from a randomized controlled trial of older adults with poorly controlled asthma and comorbidities. Comorbidities were measured in two ways: (1) as a count of all the patient's chronic diseases, and (2) as a count of chronic illnesses with self-management intensive needs (diabetes, hypertension, congestive heart failure). Depressive symptoms were measured using the PROMIS SF8a scale. Multiple regression analyses tested the relationship between comorbidities and depressive symptoms, adjusting for sociodemographic factors.

RESULTS

Overall, 25% of participants had moderate-severe levels of depressive symptoms, 87% had ≥ two comorbidities, and 41% had ≥ one comorbidity with self-management intensive needs. The count of all comorbidities was significantly associated with depressive symptoms (F (8, 330) = 7.7, p < 0.0001, R2 = 0.158) in adjusted models, whereas the count of self-management intensive conditions was not significantly associated with depressive symptoms in adjusted analyses.

CONCLUSIONS

In older adults with asthma and multiple comorbidities, depressive symptoms increased with the overall count of comorbidities but not with the count of comorbidities with self-management intensive needs. Given the impact of depression on asthma outcomes for older adults, the mechanisms by which comorbid illness contributes to depressive symptoms in older asthmatics warrants further evaluation.

Exploring the ability of self-report measures to identify risk of high treatment burden in chronic disease patients: a cross-sectional study

Background

Effective self-management of chronic health conditions is key to avoiding disease escalation and poor health outcomes, but self-management abilities vary. Adequate patient capacity, in terms of abilities and resources, is needed to effectively manage the treatment burden associated with chronic health conditions. The ability to measure different elements of capacity, as well as treatment burden, may assist to identify those at risk of poor self-management. Our aims were to: 1. Investigate correlations between established self-report tools measuring aspects of patient capacity, and treatment burden; and 2. Explore whether individual questions from the self-report tools will correlate to perceived treatment burden without loss of explanation. This may assist in the development of a clinical screening tool to identify people at risk of high treatment burden.

Methods

A cross-sectional survey in both a postal and online format. Patients reporting one or more chronic diseases completed validated self-report scales assessing social, financial, physical and emotional capacity; quality of life; and perceived treatment burden. Logistic regression analysis was used to explore relationships between different capacity variables, and perceived high treatment burden.

Results

Respondents (n = 183) were mostly female (78%) with a mean age of 60 years. Most participants were multimorbid (94%), with 45% reporting more than five conditions. 51% reported a high treatment burden. Following logistic regression analyses, high perceived treatment burden was correlated with younger age, material deprivation, low self-efficacy and usual activity limitation. These factors accounted for 50.7% of the variance in high perceived treatment burden. Neither disease burden nor specific diagnosis was correlated with treatment burden.

Conclusions

This study supports previous observations that psychosocial factors may be more influential than specific diagnoses for multimorbid patients in managing their treatment workload. A simple capacity measure may be useful to identify those who are likely to struggle with healthcare demands.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-022-12579-1.

Danish validation of the Multimorbidity Treatment Burden Questionnaire (MTBQ) and findings from a population health survey: a mixed-methods study

OBJECTIVE

To validate the Danish Multimorbidity Treatment Burden Questionnaire (MTBQ) and obtain a population-based evaluation of treatment burden.

DESIGN

Mixed-methods.

SETTING

Danish population-based survey.

PARTICIPANTS

Translation by professional translators and an expert group. The scale was tested by 13 407 participants (aged ≥25 years) in treatment.

MEASURES

The 10-item MTBQ was translated into Danish using forward-backward translation and used in a large population health survey. A global MTBQ score was calculated and factor analysis and Cronbach's alpha assessed dimensional structure and internal consistency reliability, respectively. Spearman's rank correlations between global MTBQ scores and scores of self-rated health, health-related quality of life and the number of long-term conditions, respectively, assessed construct validity. MTBQ scores were grouped into four categories (no, low, medium, high burden) to assess interpretability and population-based evaluation of treatment burden.

RESULTS

The scale showed high internal consistency (α=0.87), positive skewness and large floor effects. Factor analysis supported a one-dimensional structure of the scale with a three-dimensional structure as a less parsimonious alternative. The MTBQ score was negatively associated with self-rated health (r_S-0.45, p<0.0001) and health-related quality of life (r_S-0.46/-0.51, p<0.0001), and positively associated with the number of long-term conditions (r_S 0.26, p<0.0001) and perceived stress (r_S 0.44, p<0.0001). Higher treatment burden was associated with young age, male sex, high educational level, unemployment, being permanently out of work, not living with a spouse/cohabitant, living with child(ren) and long-term conditions (eg, heart attack, stroke, diabetes and mental illness).

CONCLUSION

The Danish MTBQ is a valid measure of treatment burden with good construct validity and high internal reliability. This is the first study to explore treatment burden at a population level and provides important evidence to policy makers and clinicians about sociodemographic groups at risk of higher treatment burden.

Healthcare needs, experiences and treatment burden in primary care patients with multimorbidity: An evaluation of process of care from patients' perspectives

Background

Patients with multimorbidity often experience treatment burden as a result of fragmented, specialist‐driven healthcare. The ‘family doctor team' is an emerging service model in China to address the increasing need for high‐quality routine primary care.

Objective

This study aimed to explore the extent to which treatment burden was associated with healthcare needs and patients' experiences.

Methods

Multisite surveys were conducted in primary care facilities in Guangdong province, southern China. Interviewer‐administered questionnaires were used to collect data from patients (N = 2160) who had ≥2 clinically diagnosed long‐term conditions (multimorbidity) and had ≥1 clinical encounter in the past 12 months since enrolment registration with the family doctor team. Patients' experiences and treatment burden were measured using a previously validated Chinese version of the Primary Care Assessment Tool (PCAT) and the Treatment Burden Questionnaire, respectively.

Results

The mean age of the patients was 61.4 years, and slightly over half were females. Patients who had a family doctor team as the primary source of care reported significantly higher PCAT scores (mean difference 7.2 points, p < .001) and lower treatment burden scores (mean difference −6.4 points, p < .001) when compared to those who often bypassed primary care. Greater healthcare needs were significantly correlated with increased treatment burden (β‐coefficient 1.965, p < .001), whilst better patients' experiences were associated with lower treatment burden (β‐coefficient −0.252, p < .001) after adjusting for confounders.

Conclusion

The inverse association between patients' experiences and treatment burden supports the importance of primary care in managing patients with multimorbidity.

Patient Contribution

Primary care service users were involved in the instrument development and data collection.

Multimorbidity and its effect on perceived burden, capacity and the ability to self-manage in a low-income rural primary care population: A qualitative study

INTRODUCTION

Multimorbidity is increasing in prevalence, especially in low-income settings. Despite this, chronic conditions are often managed in isolation, potentially leading to burden-capacity imbalance and reduced treatment adherence. We aimed to explore, in a low-income population with common comorbidities, how the specific demands of multimorbidity affect burden and capacity as defined by the Cumulative Complexity Model.

MATERIALS AND METHODS

Qualitative interviews with thirteen rural community health centre patients in Victoria, Australia. Participants were aged between 47-72 years and reported 3-10 chronic conditions. We asked about perceived capacity and burden in managing health. The Theory of Patient Capacity was used to analyse capacity and Normalisation Process Theory to analyse burden. All data specifically associated with the experience of multimorbidity was extracted from each burden and capacity domain.

RESULTS

The capacity domains of biography, resource mobilisation and work realisation were important in relation to multimorbidity. Conditions causing functional impairment (e.g. chronic pain, depression) interacted with physical, psychological and financial capacity, leading to biographical disruption and an inability to realise treatment and life work. Despite this, few people had a treatment plan for these conditions. Participants reported that multimorbidity affected all burden domains. Coherence and appraisal were especially challenging due to condition interactions, with clinicians providing little guidance.

DISCUSSION

The capacity and burden deficits highlighted by participants were not associated with any specific diagnosis, but were due to condition interactions, coupled with the lack of health provider support to navigate interactions. Physical, psychological and financial capacities were inseparable, but rarely addressed or understood holistically. Understanding and managing condition and treatment interactions was a key burden task for patients but was often difficult, isolating and overwhelming. This suggests that clinicians should become more aware of linkages between conditions, and include generic, synergistic or cross-disciplinary approaches, to build capacity, reduce burden and encourage integrated chronic condition management.

Treatment burden for patients with multimorbidity: cross-sectional study with exploration of a single-item measure

Background

Treatment burden is the effort required of patients to look after their health, and the impact this has on their wellbeing. Quantitative data on treatment burden for patients with multimorbidity are sparse, and no single-item treatment burden measure exists.

Aim

To determine the extent of, and associations with, high treatment burden among older adults with multimorbidity, and to explore the performance of a novel single-item treatment burden measure.

Design and setting

Cross-sectional postal survey via general practices in Dorset, UK.

Method

Patients ≥55 years, living at home, with three or more long-term conditions (LTCs) were identified by practices. Treatment burden was measured using the Multimorbidity Treatment Burden Questionnaire. Data collected were sociodemographics, LTCs, medications, and characteristics including health literacy and financial resource. Associations with high treatment burden were investigated via logistic regression. Performance of a novel single-item measure of treatment burden was also evaluated.

Results

A total of 835 responses were received (response rate 42%) across eight practices. Patients’ mean age was 75 years, 55% were female (n = 453), and 99% were white (n = 822). Notably, 39% of patients self-reported fewer than three LTCs (n = 325). Almost one-fifth (18%) of responders reported high treatment burden (n = 150); making lifestyle changes and arranging appointments were particular sources of difficulty. After adjustment, limited health literacy and financial difficulty displayed strong associations with high treatment burden; more LTCs and more prescribed regular medications were also independently associated. The single-item measure discriminated moderately between high and non-high burden with a sensitivity of 89%, but a specificity of 58%.

Conclusion

High treatment burden was relatively common, underlining the importance of minimising avoidable burden. More vulnerable patients, with less capacity to manage, are at greater risk of being overburdened. Further development of a single-item treatment burden measure is required.

Healthcare professionals' perspective on treatment burden and patient capacity in low-income rural populations: challenges and opportunities

BACKGROUND

The challenges of chronic disease self-management in multimorbidity are well-known. Shippee's Cumulative Complexity Model provides useful insights on burden and capacity factors affecting healthcare engagement and outcomes. This model reflects patient experience, but healthcare providers are reported to have a limited understanding of these concepts. Understanding burden and capacity is important for clinicians, since they can influence these factors both positively and negatively. This study aimed to explore the perspectives of healthcare providers using burden and capacity frameworks previously used only in patient studies.

METHODS

Participants were twelve nursing and allied health providers providing chronic disease self-management support in low-income primary care settings. We used written vignettes, constructed from interviews with multimorbid patients at the same health centres, to explore how clinicians understood burden and capacity. Interviews were recorded and transcribed verbatim. Analysis was by the framework method, using Normalisation Process Theory to explore burden and the Theory of Patient Capacity to explore capacity.

RESULTS

The framework analysis categories fitted the data well. All participants clearly understood capacity and were highly conscious of social (e.g. income, family demands), and psychological (e.g. cognitive, mental health) factors, in influencing engagement with healthcare. Not all clinicians recognised the term 'treatment burden', but the concept that it represented was familiar, with participants relating it both to specific treatment demands and to healthcare system deficiencies. Financial resources, health literacy and mental health were considered to have the biggest impact on capacity. Interaction between these factors and health system barriers (leading to increased burden) was a common and challenging occurrence that clinicians struggled to deal with.

CONCLUSIONS

The ability of health professionals to recognise burden and capacity has been questioned, but participants in this study displayed a level of understanding comparable to the patient literature. Many of the challenges identified were related to health system issues, which participants felt powerless to address. Despite their awareness of burden and capacity, health providers continued to operate within a single-disease model, likely to increase burden. These findings have implications for health system organisation, particularly the need for alternative models of care in multimorbidity.

Patients' and kidney care team's perspectives of treatment burden and capacity in older people with chronic kidney disease: a qualitative study

OBJECTIVE

Chronic kidney disease (CKD) is often a multimorbid condition and progression to more severe disease is commonly associated with increased management requirements, including lifestyle change, more medication and greater clinician involvement. This study explored patients' and kidney care team's perspectives of the nature and extent of this workload (treatment burden) and factors that support capacity (the ability to manage health) for older individuals with CKD.

DESIGN

Qualitative semistructured interview and focus group study.

SETTING AND PARTICIPANTS

Adults (aged 60+) with predialysis CKD stages G3-5 (identified in two general practitioner surgeries and two renal clinics) and a multiprofessional secondary kidney care team in the UK.

RESULTS

29 individuals and 10 kidney team members were recruited. Treatment burden themes were: (1) understanding CKD, its treatment and consequences, (2) adhering to treatments and management and (3) interacting with others (eg, clinicians) in the management of CKD. Capacity themes were: (1) personal attributes (eg, optimism, pragmatism), (2) support network (family/friends, service providers), (3) financial capacity, environment (eg, geographical distance to unit) and life responsibilities (eg, caring for others). Patients reported poor provision of CKD information and lack of choice in treatment, whereas kidney care team members discussed health literacy issues. Patients reported having to withdraw from social activities and loss of employment due to CKD, which further impacted their capacity.

CONCLUSION

Improved understanding of and measures to reduce the treatment burden (eg, clear information, simplified medication, joined up care, free parking) associated with CKD in individuals as well as assessment of their capacity and interventions to improve capacity (social care, psychological support) will likely improve patient experience and their engagement with kidney care services.

What do older adults with multimorbidity and polypharmacy think about deprescribing? The LESS study - a primary care-based survey

Background

Multimorbidity and polypharmacy are very common in older adults in primary care. Ideally, general practitioners (GPs), should regularly review medication lists to identify inappropriate medication(s) and, where appropriate, deprescribe. However, it remains challenging to deprescribe given time constraints and few recommendations from guidelines. Further, patient related barriers and enablers to deprescribing have to be accounted for. The aim of this study was to identify barriers and enablers to deprescribing as reported by older adults with polypharmacy and multimorbidity.

Methods

We conducted a survey among participants aged ≥70 years, with multimorbidity (≥3 chronic conditions) and polypharmacy (≥5 chronic medications). We invited Swiss GPs, to recruit eligible patients who then completed a paper-based survey on demographics, medications and chronic conditions. We used the revised Patients’ Attitudes Towards Deprescribing (rPATD) questionnaire and added twelve additional Likert scale questions and two open-ended questions to assess barriers and enablers towards deprescribing, which we coded and categorized into meaningful themes.

Result

Sixty four Swiss GPs consented to recruit 5–6 patients each and returned 300 participant responses. Participants were 79.1 years (SD 5.7), 47% female, 34% lived alone, and 86% managed their medications themselves. Sixty-seven percent of participants took 5–9 regular medicines and 24% took ≥10 medicines. The majority of participants (77%) were willing to deprescribe one or more of their medicines if their doctor said it was possible. There was no association with sex, age or the number of medicines and willingness to deprescribe. After adjustment for baseline characteristics, there was a strong positive association between willingness to deprescribe and saying that because they have a good relationship with their GP, they would feel that deprescribing was safe OR 11.3 (95% CI: 4.64–27.3) and agreeing that they would be willing to deprescribe if new studies showed an avoidable risk OR 8.0 (95% CI 3.79–16.9). From the open questions, the most mentioned barriers towards deprescribing were patients feeling well on their current medicines and being convinced that they need all their medicines.

Conclusions

Most older adults with polypharmacy are willing to deprescribe. GPs may be able to increase deprescribing by building trust with their patients and communicating evidence about the risks of medication use.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12877-020-01843-x.

A cross-sectional study of Swiss ambulatory care services use by multimorbid patients in primary care in the light of the Andersen model

BACKGROUND

Multimorbidity is frequently encountered in primary care and is associated with increasing use of healthcare services. The Andersen Behavioral Model of Health Services Use is a multilevel framework classifying societal, contextual, and individual characteristics about the use of healthcare services into three categories: 1. predisposing factors, 2. enabling factors, and 3. need factors. The present study aimed to explore multimorbid patients' use of ambulatory healthcare in terms of homecare and other allied health services, visits to GPs, and number of specialists involved. A secondary aim was to apply Andersen's model to explore factors associated with this use.

METHOD

In a cross-sectional study, 100 Swiss GPs enrolled up to 10 multimorbid patients each. After descriptive analyses, we tested the associations of each determinant and outcome variable of healthcare use, according to the Andersen model: predisposing factors (patient's demographics), enabling factors (health literacy (HLS-EU-Q6), deprivation (DipCare)), and need factors (patient's quality of life (EQ-5D-3L), treatment burden (TBQ), severity index (CIRS), number of chronic conditions, and of medications). Logistic regressions (dichotomous variables) and negative binomial regressions (count variables) were calculated to identify predictors of multimorbid patients' healthcare use.

RESULTS

Analyses included 843 multimorbid patients; mean age 73.0 (SD 12.0), 28-98 years old; 48.3% men; 15.1% (127/843) used homecare. Social deprivation (OR 0.75, 95%CI 0.62-0.89) and absence of an informal caregiver (OR 0.50, 95%CI 0.28-0.88) were related to less homecare services use. The use of other allied health services (34.9% (294/843)) was associated with experiencing pain (OR 2.49, 95%CI 1.59-3.90). The number of contacts with a GP (median 11 (IQR 7-16)) was, among other factors, related to the absence of an informal caregiver (IRR 0.90, 95%CI 0.83-0.98). The number of specialists involved (mean 1.9 (SD 1.4)) was linked to the treatment burden (IRR 1.06, 95%CI 1.02-1.10).

CONCLUSION

Multimorbid patients in primary care reported high use of ambulatory healthcare services variably associated with the Andersen model's factors: healthcare use was associated with objective medical needs but also with contextual or individual predisposing or enabling factors. These findings emphasize the importance of adapting care coordination to individual patient profiles.