Measuring the Quality of Care for Older Adults With Multimorbidity: Results of the MULTIqual Project

The quality of care delivered to residents in long-term care in Australia: an indicator-based review of resident records (CareTrack Aged study)

BACKGROUND

This study estimated the prevalence of evidence-based care received by a population-based sample of Australian residents in long-term care (LTC) aged ≥ 65 years in 2021, measured by adherence to clinical practice guideline (CPG) recommendations.

METHODS

Sixteen conditions/processes of care amendable to estimating evidence-based care at a population level were identified from prevalence data and CPGs. Candidate recommendations (n = 5609) were extracted from 139 CPGs which were converted to indicators. National experts in each condition rated the indicators via the RAND-UCLA Delphi process. For the 16 conditions, 236 evidence-based care indicators were ratified. A multi-stage sampling of LTC facilities and residents was undertaken. Trained aged-care nurses then undertook manual structured record reviews of care delivered between 1 March and 31 May 2021 (our record review period) to assess adherence with the indicators.

RESULTS

Care received by 294 residents with 27,585 care encounters in 25 LTC facilities was evaluated. Residents received care for one to thirteen separate clinical conditions/processes of care (median = 10, mean = 9.7). Adherence to evidence-based care indicators was estimated at 53.2% (95% CI: 48.6, 57.7) ranging from a high of 81.3% (95% CI: 75.6, 86.3) for Bladder and Bowel to a low of 12.2% (95% CI: 1.6, 36.8) for Depression. Six conditions (skin integrity, end-of-life care, infection, sleep, medication, and depression) had less than 50% adherence with indicators.

CONCLUSIONS

This is the first study of adherence to evidence-based care for people in LTC using multiple conditions and a standardised method. Vulnerable older people are not receiving evidence-based care for many physical problems, nor care to support their mental health nor for end-of-life care. The six conditions in which adherence with indicators was less than 50% could be the focus of improvement efforts.

Developing quality measures for non-pharmacological prevention and rehabilitation in primary health care for chronic conditions: a consensus study

Poor health-related behaviours are root causes of a large number of chronic conditions; however, this study is the first to develop guideline-based quality measures targeting health-related behaviours through generic non-pharmacological secondary prevention and rehabilitation in municipal primary health care for persons with chronic conditions. From January 2020 to September 2021, a consensus study was conducted in accordance with the current scientific recommendations for developing guideline-based quality measures. A clinical expert panel (n = 11) was established and included a patient representative, health care professionals, researchers, and key specialists. The process for developing quality measures was led by methodologists and encompassed a modified Research and Development/University of California at Los Angeles (RAND/UCLA) study to evaluate consensus in the expert panel. The consensus recommendations were directed to a steering group including the Danish Ministry of Health, the Danish Regions, and the Local Government Denmark. The expert panel rated 102 clinical practice recommendations. Consensus was demonstrated on 13 quality measures assessing whether the patients are offered participation in and adhere to: self-management, smoking cessation, physical exercise training, nutritional efforts, and preventive consultation on excessive alcohol consumption; whether the patients participate in a closing meeting, whether they are offered follow-up, and whether reasons for dropout are documented. The identified quality measures constitute a framework for assessing the quality of non-pharmacological prevention and rehabilitation in municipal primary health care for persons with chronic conditions. The next steps focus on field testing of the quality measures to refine measure criteria and assess implementation. A close link between clinical practice, the evidence and practice recommendations, the data infrastructure, economic considerations, and national priorities was a key to the consensus process.

Integrated care for older multimorbid heart failure patients: protocol for the ESCAPE randomized trial and cohort study

ESCAPE

Evaluation of a patient-centred biopsychosocial blended collaborative care pathway for the treatment of multimorbid elderly patients.

THERAPEUTIC AREA

Healthcare interventions for the management of older patients with multiple morbidities.

AIMS

Multi-morbidity treatment is an increasing challenge for healthcare systems in ageing societies. This comprehensive cohort study with embedded randomized controlled trial tests an integrated biopsychosocial care model for multimorbid elderly patients.

HYPOTHESIS

A holistic, patient-centred pro-active 9-month intervention based on the blended collaborative care (BCC) approach and enhanced by information and communication technologies can improve health-related quality of life (HRQoL) and disease outcomes as compared with usual care at 9 months.

METHODS

Across six European countries, ESCAPE is recruiting patients with heart failure, mental distress/disorder plus ≥2 medical co-morbidities into an observational cohort study. Within the cohort study, 300 patients will be included in a randomized controlled assessor-blinded two-arm parallel group interventional clinical trial (RCT). In the intervention, trained care managers (CMs) regularly support patients and informal carers in managing their multiple health problems. Supervised by a clinical specialist team, CMs remotely support patients in implementing the treatment plan-customized to the patients' individual needs and preferences-into their daily lives and liaise with patients' healthcare providers. An eHealth platform with an integrated patient registry guides the intervention and helps to empower patients and informal carers. HRQoL measured with the EQ-5D-5L as primary endpoint, and secondary outcomes, that is, medical and patient-reported outcomes, healthcare costs, cost-effectiveness, and informal carer burden, will be assessed at 9 and ≥18 months.

CONCLUSIONS

If proven effective, the ESCAPE BCC intervention can be implemented in routine care for older patients with multiple morbidities across the participating countries and beyond.

Validation of patient- and GP-reported core sets of quality indicators for older adults with multimorbidity in primary care: results of the cross-sectional observational MULTIqual validation study

BACKGROUND

Older adults with multimorbidity represent a growing segment of the population. Metrics to assess quality, safety and effectiveness of care can support policy makers and healthcare providers in addressing patient needs. However, there is a lack of valid measures of quality of care for this population. In the MULTIqual project, 24 general practitioner (GP)-reported and 14 patient-reported quality indicators for the healthcare of older adults with multimorbidity were developed in Germany in a systematic approach. This study aimed to select, validate and pilot core sets of these indicators.

METHODS

In a cross-sectional observational study, we collected data in general practices (n = 35) and patients aged 65 years and older with three or more chronic conditions (n = 346). One-dimensional core sets for both perspectives were selected by stepwise backward selection based on corrected item-total correlations. We established structural validity, discriminative capacity, feasibility and patient-professional agreement for the selected indicators. Multilevel multivariable linear regression models adjusted for random effects at practice level were calculated to examine construct validity.

RESULTS

Twelve GP-reported and seven patient-reported indicators were selected, with item-total correlations ranging from 0.332 to 0.576. Fulfilment rates ranged from 24.6 to 89.0%. Between 0 and 12.7% of the values were missing. Seventeen indicators had agreement rates between patients and professionals of 24.1% to 75.9% and one had 90.7% positive and 5.1% negative agreement. Patients who were born abroad (- 1.04, 95% CI =  - 2.00/ - 0.08, p = 0.033) and had higher health-related quality of life (- 1.37, 95% CI =  - 2.39/ - 0.36, p = 0.008), fewer contacts with their GP (0.14, 95% CI = 0.04/0.23, p = 0.007) and lower willingness to use their GPs as coordinators of their care (0.13, 95% CI = 0.06/0.20, p < 0.001) were more likely to have lower GP-reported healthcare quality scores. Patients who had fewer GP contacts (0.12, 95% CI = 0.04/0.20, p = 0.002) and were less willing to use their GP to coordinate their care (0.16, 95% CI = 0.10/0.21, p < 0.001) were more likely to have lower patient-reported healthcare quality scores.

CONCLUSIONS

The quality indicator core sets are the first brief measurement tools specifically designed to assess quality of care for patients with multimorbidity. The indicators can facilitate implementation of treatment standards and offer viable alternatives to the current practice of combining disease-related metrics with poor applicability to patients with multimorbidity.

Experiences of patients with multimorbidity with primary care and the association with patient activation: a cross-sectional study in Germany

OBJECTIVES

This study aimed to explore the association between patient activation and patients' experience of care among an elderly multimorbid population in Germany.

DESIGN

Cross-sectional study.

SETTING

Primary care practices in two German settings.

PARTICIPANTS

346 patients with 3 or more chronic conditions aged 65 years and over from 36 primary care practices.

OUTCOME MEASURES

Patient activation was measured with the patient activation measure (PAM). To assess patient experiences with primary care, a set of questions concerning domains of primary care were included. Multilevel regression analyses were performed to examine which domains of care were associated with patient activation.

RESULTS

Out of 1243 invited patients, a total of 346 took part in the study (participation rate 27.8 %). Mean PAM score was 76.1. Across all patients, 3.8% achieved PAM level 1, 7.5% level 2, 27.2% level 3% and 60.7% level 4. PAM scores suggest a highly activated patient group. In the regression analysis, three out ten domains of patients' experiences showed an association with patient activation. The domains 'being involved in decision as much as desired' (B=-8.56, p=0.012) and 'receiving a self-management plan' (B=6.51, p=0.051) were associated with higher patient activation scores. Patients with an up-to-date medication plan had lower patient activation scores (B=-12.01, p=0.041).

CONCLUSION

Specific domains of primary care were found to be associated with patient activation. To enhance patient activation, primary care physicians may increase involvement of patients in decisions. Future research should examine the causality of these associations.

TRIAL REGISTRATION NUMBER

DRKS00015718.

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.