Detecting Frailty in Primary Care: A Major Challenge for Primary Care Physicians

Agreement between standard and self-reported assessments of physical frailty syndrome and its components in a registry of community-dwelling older adults

BACKGROUND

The ability to identify frail older adults using a self-reported version of the physical frailty phenotype (PFP) that has been validated with the standard PFP could facilitate physical frailty detection in clinical settings.

METHODS

We collected data from volunteers (N = 182), ages 65 years and older, in an aging research registry in Baltimore, Maryland. Measurements included: standard PFP (walking speed, grip strength, weight loss, activity, exhaustion); and self-reported questions about walking and handgrip strength. We compared objectively-measured gait speed and grip strength to self-reported questions using Cohen's Kappa and diagnostic accuracy tests. We used these measures to compare the standard PFP with self-reported versions of the PFP, focusing on a dichotomized identification of frail versus pre- or non-frail participants.

RESULTS

Self-reported slowness had fair-to-moderate agreement (Kappa(k) = 0.34-0.56) with measured slowness; self-reported and objective weakness had slight-to-borderline-fair agreement (k = 0.10-0.21). Combining three self-reported slowness questions had highest sensitivity (81%) and negative predictive value (NPV; 91%). For weakness, three questions combined had highest sensitivity (72%), while all combinations had comparable NPV. Follow-up questions on level of difficulty led to minimal changes in agreement and decreased sensitivity. Substituting subjective for objective measures in our PFP model dichotomized by frail versus non/pre-frail, we found substantial (k = 0.76-0.78) agreement between standard and self-reported PFPs. We found highest sensitivity (86.4%) and NPV (98.7%) when comparing the dichotomized standard PFP to a self-reported version combining all slowness and weakness questions. Substitutions in a three-level model (frail, vs pre-frail, vs. non-frail) resulted in fair-to-moderate agreement (k = 0.33-0.50) with the standard PFP.

CONCLUSIONS

Our results show potential utility as well as challenges of using certain self-reported questions in a modified frailty phenotype. A self-reported PFP with high agreement to the standard phenotype could be a valuable frailty screening assessment in clinical settings.

Implementing frailty assessment into a healthcare system: a clinical opinion paper

Frailty is a multifactorial medical syndrome characterized by reduced endurance and decreased physiological ability. The aim of this narrative literature review is to present the frailty diagnostic instruments that are already used in most Western countries and provide recommendations for use in clinical practice. Among the numerous available frailty instruments identified in current literature, the Frailty Index and the Physical Frailty Phenotype are most commonly used. There are large differences in each instrument design, ease of use by healthcare teams and also significant heterogeneity in the design of the studies based on these instruments. Therefore, future studies should be designed to properly address the discrepancy in the comparison of the existent instruments and consider their validity and feasibility of implementation in different healthcare settings with different healthcare providers.

Becoming frail: a major turning point in patients' life course

BACKGROUND

The frailty concept requires that practices should be adapted to meet the challenge of dependence. The GP is in the front line of management of frail elderly patients.

OBJECTIVES

To explore the perception of elderly persons of the term and concept of frailty and to understand their perception of the risk of loss of independence.

METHODS

Two qualitative studies by individual interviews in the homes of elderly persons identified as potentially frail by their GP, or diagnosed as frail and at risk of loss of independence. The sampling was theoretical. The analysis was carried out using an inductive approach following the phases of thematic analysis. The researchers used triangulation and collection was concluded when theoretical saturation had been reached.

RESULTS

The concept of frailty was seen as forming an integral part of physiological ageing and appeared to be irreversible. The term of frailty had a negative connotation. The physical, cognitive and psychological components of frailty were present in the participants' discourse. Nutritional and sensory components were less present. Frailty due to inappropriate medication was not cited. Seven risk factors for loss of independence were identified: social isolation, poor physical health, poor mental health, loss of mobility, unsuitable living conditions, unsuitable environment, and low resources.

CONCLUSIONS

Becoming frail is a major turning point in patients' life course. Coordinated multiprofessional management that takes account of patients' perceptions could help in negotiating a feasible care plan adapted to the patient's needs.

Identifying frailty in primary care: a qualitative description of family physicians' gestalt impressions of their older adult patients

Background

Many tools exist to guide family physicians’ impressions about frailty status of older adults, but no single tool, instrument, or set of criteria has emerged as most useful. The role of physicians’ subjective impressions in frailty decisions has not been studied. This study explores how family physicians conceptualize frailty, and the factors that they consider when making subjective decisions about patients’ frailty statuses.

Methods

Descriptive qualitative study of family physicians who practice in a large urban academic family medicine center as they participated in one-on-one “think-aloud” interviews about the frailty status of their patients aged 80 years and over. Of 23 eligible family physicians, 18 shared their impressions about the frailty status of their older adult patients and the factors influencing their decisions. Interviews were audio-recorded, transcribed, and thematically analyzed.

Results

Four themes were identified, the first of which described how physicians conceptualized frailty as a spectrum and dynamic in nature, but also struggled to conceptualize it without a formal definition in place. The remaining three themes described factors considered before determining patients’ frailty statuses: physical characteristics (age, weight, medical conditions), functional characteristics (physical, cognitive, social) and living conditions (level of independence, availability of supports, physical environment).

Conclusions

Family physicians viewed frailty as multifactorial, dynamic, and inclusive of functional and environmental factors. This conceptualization can be useful to make comprehensive and flexible evaluations of frailty status in conjunction with more objective frailty tools.

Electronic supplementary material

The online version of this article (10.1186/s12875-018-0743-4) contains supplementary material, which is available to authorized users.

Evaluating the Implementation and Feasibility of a Web-Based Tool to Support Timely Identification and Care for the Frail Population in Primary Healthcare Settings

Background: Understanding and addressing the needs of frail persons is an emerging health priority for Nova Scotia and internationally. Primary healthcare (PHC) providers regularly encounter frail persons in their daily clinical work. However, routine identification and measurement of frailty is not standard practice and, in general, there is a lack of awareness about how to identify and respond to frailty. A web-based tool called the Frailty Portal was developed to aid in identifying, screening, and providing care for frail patients in PHC settings. In this study, we will assess the implementation feasibility and impact of the Frailty Portal to: (1) support increased awareness of frailty among providers and patients, (2) identify the degree of frailty within individual patients, and (3) develop and deliver actions to respond to frailtyl in community PHC practice.

Methods: This study will be approached using a convergent mixed method design where quantitative and qualitative data are collected concurrently, in this case, over a 9-month period, analyzed separately, and then merged to summarize, interpret and produce a more comprehensive understanding of the initiative’s feasibility and scalability. Methods will be informed by the ‘Implementing the Frailty Portal in Community Primary Care Practice’ logic model and questions will be guided by domains and constructs from an implementation science framework, the Consolidated Framework for Implementation Research (CFIR).

Discussion: The ‘Frailty Portal’ aims to improve access to, and coordination of, primary care services for persons experiencing frailty. It also aims to increase primary care providers’ ability to care for patients in the context of their frailty. Our goal is to help optimize care in the community by helping community providers gain the knowledge they may lack about frailty both in general and in their practice, support improved identification of frailty with the use of screening tools, offer evidence based severity-specific care goals and connect providers with local available community supports.

Screening for frailty among older emergency department visitors: Validation of the new FRESH-screening instrument

Background

The identification of frail older persons in different health care settings is widely seen as an important step in improving the healthcare system. Screening at an emergency department (ED) should be handled in just a few minutes without the use of tests or measurements. The FRESH-screening was developed for this purpose. This study’s aim was to evaluate the FRESH-screening and its construct validity; also assessed were the sensitivity, specificity, and predictive values for frailty screening.

Methods

The study had a cross-sectional design. A total of 161 elderly people who sought care at the emergency department at Mölndal Hospital were included. Inclusion criteria were ages ≥80 years or ages 65–79 with at least one chronic disease and dependence in at least one daily living activity. Sensitivity, specificity, and predictive values were calculated to describe the accuracy of the FRESH-screening in identifying those with frailty, as assessed by eight frailty indicators. Sensitivity and specificity were both set at a minimum of 80 %, and a percentage sum ≥150 of the sensitivity and positive prediction was considered a measure of excellent value.

Result

Both sensitivity and specificity were high (81 % and 80 %, respectively) when comparing the four questions of the FRESH-screening against the eight frailty indicators. The percentage sum of sensitivity and positive prediction was 173 (81 % + 92 %), thus exceeding the 150 cutoff.

Conclusion

This study shows the FRESH-screening to be of excellent clinical value. Additionally, the clinical experience is that the instrument is simple and rapid to use, takes only a few minutes to administer, and requires minimal energy input by older persons.

How do general practitioners recognize the definition of multimorbidity? A European qualitative study

BACKGROUND

Multimorbidity is a challenging concept for general practice. An EGPRN working group has published a comprehensive definition of the concept of multimorbidity. As multimorbidity could be a way to explore complexity in general practice, it was of importance to explore whether European general practitioners (GPs) recognize this concept and whether they would change it.

OBJECTIVES

To investigate whether European GPs recognize the EGPRN concept of multimorbidity and whether they would change it.

METHODS

Focus group meetings and semi-structured interviews as data collection techniques with a purposive sample of practicing GPs from every country. Data collection continued until saturation was reached in every country. The analysis was undertaken using a grounded theory based method. In each national team, four independent researchers, working blind and pooling data, carried out the analysis. To ensure the internationalization of the data, an international team of 10 researchers pooled the axial and selective coding of all national teams to check the concept and highlight emerging themes.

RESULTS

The maximal variation and saturation of the sample were reached in all countries with 211 selected GPs. The EGPRN definition was recognized in all countries. Two additional ideas emerged, the use of Wonca's core competencies of general practice, and the dynamics of the doctor-patient relationship for detecting and managing multimorbidity and patient's complexity.

CONCLUSION

European GPs recognized and enhanced the EGPRN concept of multimorbidity. These results open new perspectives regarding the management of complexity using the concept of multimorbidity in general practice. [Box: see text].

Risk factors for functional decline in a population aged 75 years and older without total dependence: A one-year follow-up

OBJECTIVES

estimation of functional loss incidence and identification of risk factors associated with new disability onset in people aged 75 and older without severe dependence in a rural primary care setting.

PATIENTS AND METHOD

Prospective cohort study of a representative sample of people aged 75 years or older without severe dependence (Barthel Index>20 and Lawton Index>1) at a primary care center, with a 12-month follow-up. The baseline geriatric assessment recorded activities of daily living (ADL), sociodemographic information, numbers of drugs prescribed, previous hospital admissions and falls, cognitive function, hearing and visual capacity, body mass index, blood pressure, and the Short Physical Performance Battery to evaluate lower limb function. ADL was re-assessed after 12 months, defining functional loss as a fall of ≥10 points on the Barthel Index and/or ≥2 instrumental activities of the Lawton Index. Bivariate and multivariate analyses using logistic regression models were conducted to identify factors independently associated with functional loss.

RESULTS

Mean age was 81.7 years, 58.7% of patients were men, and 23.4% presented functional loss at the 12-month follow-up. Variables identified as independent predictors of functional loss were hospital admissions (aOR 3.92; 95%CI: 1.35-11.39), cognitive impairment (aOR 2.60; 95%CI: 1.39-4.92) and lower limbs functional limitation (aOR 2.01; 95%CI: 1.02-3.97).

CONCLUSIONS

Our results support the use of performance batteries in primary care for identifying elderly persons at risk of functional decline; and they also highlight the relevance of appropriate management of hospital admissions and planned discharges in order to preserve patients' functional status.

Association of Frailty and Cardiometabolic Risk Among Community-Dwelling Middle-Aged and Older People: Results from the I-Lan Longitudinal Aging Study

The aim of this study was to evaluate the association of cardiometabolic risk and frailty through a community-based aging cohort in Taiwan In total, 1839 participants (men, 47.5%; mean age 63.9 ± 9.3 years) from the first wave of the I-Lan longitudinal cohort study, recruited between August of 2011 and August of 2013, were retrieved for the analysis of this cross-sectional study. Frailty was defined by Cardiovascular Health Study (CHS) criteria, encompassing un-intentional weight loss, slow walk speed, poor grip strength, exhaustion, and low activity. Comparisons between cardiometabolic risk and frailty status were performed after adjustment for age, hormone parameters, functional measurements, and skeletal muscle mass. Independent association of cardiometabolic risk and frailty status was identified through the multivariate logistic regression model. We found that the prevalence of frailty and pre-frial were 6.8% and 40.5%, respectively. Adjustments for age, blood pressure, low-density lipoprotein cholesterol (LDL-C), uric acid, creatinine, and carotid intima media thickness were not significantly associated with frailty. However, lower total cholesterol and high-density lipoprotein cholesterol (HDL-C), higher high-sensitivity C-reactive protein (hsCRP) and glycemia profiles were significantly associated with frailty. For hormone parameters, dehydroepiandrosterone sulfate (DHEA-S), insulin-like growth factor-1 (IGF-1), and free androgen index were not significantly associated with frailty after age adjustment. In a multivariate logistic regression model, abdominal obesity, homeostasis model assessment of insulin resistance (HOMA-IR), and hsCRP were significantly associated with frailty. The odds ratio (OR) for frailty was 3.57 (95% confidence interval [CI] 1.88-6.78, p < 0.001), 1.30 (95% CI 1.02-1.66, p = 0.032), and 1.66 (95% CI 1.10-2.49, p = 0.016), respectively, in a fully adjusted model. Conversely, higher total cholesterol was associated with a lower prevalence of frailty (OR = 0.44, 95% CI 0.22-0.89, p = 0.023) in the final model. In this study, abdominal obesity, insulin resistance, and inflammation were significantly associated with frailty, and the effect was independent of functional measurement and decline of skeletal muscle mass. An integrated approach targeted at cardiometabolic aging and frailty is needed in clinical practice.

What research agenda could be generated from the European General Practice Research Network concept of Multimorbidity in Family Practice?

Background

Multimorbidity is an intuitively appealing, yet challenging, concept for Family Medicine (FM). An EGPRN working group has published a comprehensive definition of the concept based on a systematic review of the literature which is closely linked to patient complexity and to the biopsychosocial model. This concept was identified by European Family Physicians (FPs) throughout Europe using 13 qualitative surveys. To further our understanding of the issues around multimorbidity, we needed to do innovative research to clarify this concept. The research question for this survey was: what research agenda could be generated for Family Medicine from the EGPRN concept of Multimorbidity?

Methods

Nominal group design with a purposive panel of experts in the field of multimorbidity. The nominal group worked through four phases: ideas generation phase, ideas recording phase, evaluation and analysis phase and a prioritization phase.

Results

Fifteen international experts participated. A research agenda was established, featuring 6 topics and 11 themes with their corresponding study designs. The highest priorities were given to the following topics: measuring multimorbidity and the impact of multimorbidity. In addition the experts stressed that the concept should be simplified. This would be best achieved by working in reverse: starting with the outcomes and working back to find the useful variables within the concept.

Conclusion

The highest priority for future research on multimorbidity should be given to measuring multimorbidity and to simplifying the EGPRN model, using a pragmatic approach to determine the useful variables within the concept from its outcomes.