Predictive analytics support for complex chronic medical conditions: An experience-based co-design study of physician managers' needs and preferences

PURPOSE

The literature suggests predictive technology applications in health care would benefit from physician and manager input during design and development. The aim was to explore the needs and preferences of physician managers regarding the role of predictive analytics in decision support for patients with the highly complex yet common combination of multiple chronic conditions of cardiovascular (Heart) and kidney (Nephrology) diseases and diabetes (HND).

METHODS

This qualitative study employed an experience-based co-design model comprised of three data gathering phases: 1. Patient mapping through non-participant observations informed by process mining of electronic health records data, 2. Semi-structured experience-based interviews, and 3. A co-design workshop. Data collection was conducted with physician managers working at or collaborating with the HND center, Danderyd University Hospital (DSAB), in Stockholm, Sweden. HND center is an integrated practice unit offering comprehensive person-centered multidisciplinary care to stabilize disease progression, reduce visits, and develop treatment strategies that enables a transition to primary care.

RESULTS

Interview and workshop data described a complex challenge due to the interaction of underlying pathophysiologies and the subsequent need for multiple care givers that hindered care continuity. The HND center partly met this challenge by coordinating care through multiple interprofessional and interdisciplinary shared decision-making interfaces. The large patient datasets were difficult to operationalize in daily practice due to data entry and retrieval issues. Predictive analytics was seen as a potentially effective approach to support decision-making, calculate risks, and improve resource utilization, especially in the context of complex chronic care, and the HND center a good place for pilot testing and development. Simplicity of visual interfaces, a better understanding of the algorithms by the health care professionals, and the need to address professional concerns, were identified as key factors to increase adoption and facilitate implementation.

CONCLUSIONS

The HND center serves as a comprehensive integrated practice unit that integrates different medical disciplinary perspectives in a person-centered care process to address the needs of patients with multiple complex comorbidities. Therefore, piloting predictive technologies at the same time with a high potential for improving care represents an extreme, demanding, and complex case. The study findings show that health care professionals' involvement in the design of predictive technologies right from the outset can facilitate the implementation and adoption of such technologies, as well as enhance their predictive effectiveness and performance. Simplicity in the design of predictive technologies and better understanding of the concept and interpretation of the algorithms may result in implementation of predictive technologies in health care. Institutional efforts are needed to enhance collaboration among the health care professionals and IT professionals for effective development, implementation, and adoption of predictive analytics in health care.

Storylines of family medicine VIII: clinical approaches

Storylines of Family Medicine is a 12-part series of thematically linked mini-essays with accompanying illustrations that explore the many dimensions of family medicine as interpreted by individual family physicians and medical educators in the USA and elsewhere around the world. In 'VIII: clinical approaches', authors address the following themes: 'Evaluation, diagnosis and management I-toward a working diagnosis', 'Evaluation, diagnosis and management II-process steps', 'Interweaving integrative medicine and family medicine', 'Halfway-the art of clinical judgment', 'Seamless integration in family medicine-team-based care', 'Technology-uncovering stories from noise' and 'Caring for patients with multiple long-term conditions'. May readers recognise in these essays the uniqueness of a family medicine approach to care.

Managing Multiple Chronic Conditions during COVID-19 Among Patients with Social Health Risks

BACKGROUND

Optimal care for persons with multiple chronic conditions (MCC) requires primary and specialty care continuity, access to multiple providers, social risk assessment, and self-management support. The COVID-19 pandemic abruptly changed primary care delivery to increase reliance on telehealth and virtual care. We report on the experiences of individuals with MCC and their family caregivers on managing their health and receiving health care during the initial pandemic.

METHODS

Semistructured qualitative interviews with 30 patients (19 English speaking, 11 Spanish speaking) plus 9 accompanying care partners, who had 2+ primary care encounters between March 1, 2020, and November 30, 2020, 2+ chronic conditions, and 1 or more self-reported social risks. Questions focused on access to and experiences with care, roles for care partners, and self-management during the first 6 months of the pandemic.

RESULTS

Participants experienced substantial changes in care delivery. The most commonly reported changes were a shift to more virtual relative to in-person care and shifting roles for care partners. Changes fostered new perspectives on self-management and an appreciation of personal resilience and self-reliance. Virtual care was an acceptable complement to in-person care, though not a substitute for periodic in-person visits. It was more acceptable for English speakers and with a usual provider.

CONCLUSION

New models of care delivery that recognize patient and family resilience and resourcefulness, emphasize provider continuity, and combine virtual and in-person care may support self-management for individuals with MCC and social needs.

Multimorbidity Patterns, Hospital Uses and Mortality by Race and Ethnicity Among Oldest-Old Patients

BACKGROUNDS

Adults aged 85 years and older ("oldest-old") are perceived as survivors resilient to age-related risk factors. Although considerable heterogeneity has been often observed in this population, less is known about the unmet needs in health and healthcare service utilization for diverse patients in healthcare systems. We examined racial-ethnic variation in patterns of multimorbidity associated with emergency department (ED), clinic visits, and mortality among the oldest-old patients with multimorbidity.

METHODS

Administrative and clinical data from an integrated healthcare system for five years included 25,801 oldest-old patients with two or more chronic conditions. Hierarchical cluster analysis identified patterns of multimorbidity by four racial-ethnic groups (White, Black, Hispanic, & Other). Clusters associated with ED and clinic visits, and mortality were analyzed using generalized estimation equations and proportional hazards survival model, respectively.

RESULTS

Hypothyroidism, Alzheimer's disease and related dementia, bone & joint conditions, metabolism syndrome, and pulmonary-vascular clusters were commonly observed across the groups. While most clusters were significantly associated with ED and clinic visits among White patients, bone & joint conditions cluster was the most significantly associated with ED and clinic visits among Black (RR = 1.32, p <.01 for ED; RR = 1.67, p <.0001 for clinic) and Hispanic patients (RR = 1.36, p <.0001 for ED; RR = 1.39, p <.0001 for clinic). Similar patterns were observed in the relationship between multimorbidity clusters and mortality.

CONCLUSIONS

Patterns of multimorbidity and its significant association with the uses of ambulatory and emergency care varied by race-ethnicity. More studies are needed to explore barriers when minoritized patients are faced with the use of hospital services.

Improving outpatient clinic experience: the future of chronic kidney disease care and associated multimorbidity

BACKGROUND

Chronic kidney disease (CKD) is estimated to affect more than 2.5 million adults in England, and this is expected to rise to 4.2 million by 2036 (1). Population-level digital healthcare systems have the potential to enable earlier detection of CKD providing an opportunity to introduce interventions that attenuate progression and reduce the risk of end-stage kidney disease (ESKD) and cardiovascular diseases (CVD). Services that can support patients with CKD, CVD, and diabetes mellitus (DM) have the potential to reduce fragmented clinical care and optimise pharmaceutical management.

METHODS AND RESULTS

The Salford renal service has established an outpatient improvement programme which aims to address these issues via two projects. Firstly, the development of a CKD dashboard that can stratify patients by their kidney failure risk equation (KFRE) risk. High-risk patients would be invited to attend an outpatient clinic if appropriate. Specialist advice and guidance would be offered to primary care providers looking after patients with medium risk. Patients with lower risk would continue with standard care via their primary care provider unless there was another indication for a nephrology referral. The CKD dashboard identified 11546 patients (4.4% of the total adult population in Salford) with T2DM and CKD. The second project is the establishment of the Metabolic CardioRenal (MRC) clinic. It provided care for 209 patients in the first 8 months of its establishment with a total of 450 patient visits. Initial analysis showed clustering of cardiorenal metabolic diseases with 85% having CKD stages 3 and 4 and 73.2% having DM. In addition, patients had a significant burden of CVD with 50.2% having hypertension and 47.8% having heart failure.

CONCLUSION

There is a pressing need to create new outpatient models of care to tackle the rising epidemic of cardio-renal metabolic diseases. This model of service has potential benefits at both organisational and patient levels including improving patient management via risk stratification, increased care capacity and reduction of variation of care. Patients will benefit from earlier intervention, appropriate referral for care, reduction in CKD-related complications, and reduction in hospital visits and cardiovascular events. In addition, this combined digital and patient-facing model of care will allow rapid translation of advances in cardio-renal metabolic diseases into clinical practice.

A Comprehensive Digital Self-care Support System for Older Adults With Multiple Chronic Conditions: Development, Feasibility, and Usability Testing of myHESTIA

The objective of this mixed methods study is to evaluate the need for a comprehensive digital self-care support system (CDSSS) for older adults with multiple chronic conditions (MCC) and to examine whether such a system can be developed to enable daily capture of self-care data. The 3-phase study involved Phase-1: user needs assessment and prototype development; Phase-2: preliminary user evaluation of the prototype; and Phase-3: 4-week small group usability and feasibility testing of the tracking component of the prototype. Results of Phase-1 show the need for a CDSSS. Phase-2 results demonstrate interest among older adults in using such a CDSSS and Phase-3 findings show that older adults found the tracking component of the system easy to use for capturing daily inputs. Overall, the findings show that it is feasible to design a CDSSS for older adults with MCC in a way that is usable and functional for them.

Outcomes of Delay of Care After the Onset of COVID-19 for Patients Managing Multiple Chronic Conditions

PURPOSE

Many patients delayed health care during COVID-19. We assessed the extent to which patients managing multiple chronic conditions (MCC) delayed care in the first months of the pandemic, reasons for delay, and impact of delay on patient-reported physical and behavioral health (BH) outcomes.

METHODS

As part of a large clinical trial conducted April 2016-June, 2021, primary care patients managing MCC were surveyed about physical and behavioral symptoms and functioning. Surveys administered between September 3, 2020, and March 16, 2021, included questions about the extent of and reasons for any delayed medical and BH care since COVID-19. Multivariable linear regression was used to assess health outcomes as a function of delay of care status.

RESULTS

Among patients who delayed medical care, 58% delayed more than once. Among those who delayed behavioral health care, 63% delayed more than once. Participants who delayed multiple times tended to be younger, female, unmarried, and reported food, financial, and housing insecurities and worse health. The primary reasons for delaying care were lack of availability of in-person visits and perceived lack of urgency. Participants who delayed care multiple times had significantly worse outcomes on nearly every measure of physical and mental health, compared with participants who delayed care once or did not delay.

CONCLUSIONS

Delay of care was substantial. Patients who delayed care multiple times were in poorer health and thus in need of more care. Effective strategies for reengaging patients in deferred care should be identified and implemented on multiple levels.

TRIAL REGISTRATION

ClinicalTrials.gov NCT02868983. Registered on August 16, 2016.

Children and adolescents are not small adults: towards a better understanding of multimorbidity in younger populations

Multimorbidity is of increasing importance for the health of both children and adults but research has hitherto focused on adult multimorbidity. Hence, public awareness, practice and policy lack vital information about multimorbidity in childhood and adolescence. We convened an international and interdisciplinary group of experts from six nations to identify key priorities supported by published evidence to strengthen research for children and adolescent with multimorbidity. Future research is encouraged 1) To develop a conceptual framework to capture unique aspects of child and adolescent multimorbidity - including definitions, characteristic patterns of conditions for different age groups, its dynamic nature through childhood and adolescence and understanding of severity and trajectories for different clusters of multiple chronic conditions, 2) To define new indices to classify the presence of multimorbidity in children and adolescents, 3) To improve the availability and linkage of data across countries, 4) To synthesize evidence on the global phenomenon of multimorbidity in childhood and adolescence as well as health inequalities, 5) To involve children and adolescents in research relevant to their health.

Multimorbidity patterns in adult day health center clients with dementia: a latent class analysis

Background

Persons living with dementia (PLWD) in adult day centers (ADCs) represent a complex and vulnerable population whose well-being is at risk based on numerous factors. Greater knowledge of the interaction between dementia, chronic conditions, and social determinants of health would enable ADCs to identify and target the use of their resources to better support clients in need of in-depth intervention. The purpose of this paper is to (a) classify PLWD in ADCs according to their level of medical complexity and (b) identify the demographic, functional, and clinical characteristics of those with the highest degree of medical complexity.

Methods

This was a secondary data analysis of 3052 clients with a dementia diagnosis from 53 ADCs across the state of California between 2012 and 2019. The most common diagnosis codes were organized into 28 disease categories to enable a latent class analysis (LCA). Chi-square test, analysis of variance (ANOVA), and Kruskal-Wallis tests were conducted to examine differences among latent classes with respect to clinical and functional characteristics.

Results

An optimal 4-class solution was chosen to reflect chronic conditions among PLWD: high medical complexity, moderate medical complexity, low medical complexity, and no medical complexity. Those in the high medical complexity were taking an average of 12.72 (+/− 6.52) medications and attending the ADC an average of 3.98 days (+/− 1.31) per week—values that exceeded any other class. They also experienced hospitalizations more than any other group (19.0%) and met requirements for the nursing facility level of care (77.4%). In addition, the group experienced the greatest frequency of bladder (57.5%) and bowel (15.7%) incontinence.

Conclusions

Our results illustrate a high degree of medical complexity among PLWD in ADCs. A majority of PLWD not only have multimorbidity but are socially disadvantaged. Our results demonstrate that a comprehensive multidisciplinary approach that involves community partners such as ADCs is critically needed that addresses functional decline, loneliness, social isolation, and multimorbidity which can negatively impact PLWD.

Factors Affecting Primary Care Implementation for Older Veterans with multimorbidity in VA

OBJECTIVE

To identify factors affecting implementation of Geriatric Patient Aligned Care Teams (GeriPACT), a patient-centered medical home model for older adults with complex care needs including multiple chronic conditions (MCC), designed to provide them with comprehensive, managed and coordinated primary care.

DATA SOURCES

Qualitative data was collected from key informants at eight VA Medical Centers (VAMCs) geographically spread across the US.

STUDY DESIGN

Guided by the Consolidated Framework for Implementation Research (CFIR), we collected prospective primary data through semi-structured interviews with GeriPACT team members (e.g. physicians, nurses, social workers, pharmacists), leaders (e.g., executive leaders and middle managers), and other staff referring to the program.

DATA COLLECTION

We conducted in-person, semi-structured interviews with 134 key informants. Interviews were recorded with permission and professionally transcribed. Transcripts were coded in NVIVO 11. We used directed content analysis to identify key factors affecting GeriPACT implementation across sites.

PRINCIPAL FINDINGS

Five key factors affected GeriPACT implementation-5 CFIR constructs within two CFIR domains. Within the intervention characteristics domain, two constructs emerged: 1) the structure of the GeriPACT model, and 2) design, quality and packaging. In the inner setting domain, we identified three constructs: 1) available resources (e.g., staffing and space, and infrastructure and information technology; 2) leadership support and engagement, and 3) networks and communications including teamwork, communication and coordination.

CONCLUSIONS

Older Veterans with MCC have complex primary care needs requiring high levels of care management and coordination. Knowing what key factors affect GeriPACT implementation is critical. Study findings also contribute to the growing implementation science literature on applying CFIR to evaluate factors that affect program implementation, especially to aging research. Further studies on MCC-focused specialty primary care will help facilitate patient-centered care provision for older adults' complex health needs while also leveraging synergistic work across factors affecting implementation. This article is protected by copyright. All rights reserved.

The Relationship Between Social Determinants of Health and Functional Capacity in Adult Primary Care Patients With Multiple Chronic Conditions

PURPOSE

Social determinants of health (SDoH) including insecure access to food, housing, and financial resources are critical threats to overall health. We sought to examine this relationship among adult primary care patients with multiple chronic conditions.

METHODS

We obtained cross-sectional data on 2763 adults with chronic medical and behavioral conditions or greater than 2 chronic medical conditions from a survey of participants in Integrating Behavioral Health and Primary Care, a multicenter randomized trial.

RESULTS

The prevalence of 1 or more insecurities was reported in 29% of participants, including food (13%), housing (3%), or financial (25%). Functional capacity ranged from 2.74 to 9.89 metabolic equivalents (METs) (median, 6.05). The distribution of functional capacity was significantly lower for those with any 1 or more SDoH than for those without. Each insecurity independently affected the functional capacity in multivariable analysis.

CONCLUSIONS

Among primary care patients with chronic conditions, SDoH are associated with poorer functional capacity, independent of other social and demographic factors. Primary care offers a promising, if underused, opportunity to intervene in SDoH. There is a need for future studies to explore the role of screening and intervention by primary care providers to mitigate or prevent SDoH.

Features of U.S. Primary Care Physicians and Their Practices Associated with Advance Care Planning Conversations

INTRODUCTION

Primary care practices are essential settings for Advance Care Planning (ACP) conversations with patients. We hypothesized that such conversations occur more routinely in Advanced Primary Care/Patient Centered Medical Home (APCP/PCMH) Practices using practice transformation strategies.

METHODS

We analyzed characteristics of physician respondents and their practices associated with ACP discussions in older and sicker patients using US data from the 2015 Commonwealth Fund International Survey of Primary Care Physicians in 10 Nations. The primary outcome was how routinely these ACP conversations are reported. We developed an index of APCP/PCMH features as a practice covariable.

RESULTS

Respondents (N = 1001) were predominantly male (60%) and ≥45 years old (74%). Multivariable analyses showed that suburban practice location was associated with fewer ACP conversations; working in a practice commonly seeing patients with multiple chronic conditions or who have palliative care needs, and working in a practice from which home visits are made, were associated with more ACP conversations. Physicians compensated in part by capitation were more likely to report ACP conversations. No association was found between a single item asking if the practice was an APCP/PCMH and having ACP conversations. However, higher scores on an index of APCP/PCMH features were associated with more ACP conversations.

CONCLUSIONS

In this sample of US primary care physicians, the types of patients seen, practice location, and physician compensation influenced whether physicians routinely discuss ACP with patients who are older and sicker. Practices demonstrating more features of APCP/PCMH models of primary care are also associated with ACP discussions.

Mixed method evaluation of Relational Team Development (RELATED) to improve team-based care for complex patients with mental illness in primary care

BACKGROUND

Patients with mental illness are frequently treated in primary care, where Primary Care Providers (PCPs) report feeling ill-equipped to manage their care. Team-based models of care improve outcomes for patients with mental illness, but multiple barriers limit adoption. Barriers include practical issues and psychosocial factors associated with the reorganization of care. Practice facilitation can improve implementation, but does not directly address the psychosocial factors or gaps in PCP skills in managing mental illness. To address these gaps, we developed Relational Team Development (RELATED).

METHODS

RELATED is an implementation strategy combining practice facilitation and psychology clinical supervision methodologies to improve implementation of team-based care. It includes PCP-level clinical coaching and a team-level practice change activity. We performed a preliminary assessment of RELATED with a convergent parallel mixed method study in 2 primary care clinics in an urban Federally Qualified Health Center in Southwest, USA, 2017-2018. Study participants included PCPs, clinic staff, and patient representatives. Clinic staff and patients were recruited for the practice change activity only. Primary outcomes were feasibility and acceptability. Feasibility was assessed as ease of recruitment and implementation. Acceptability was measured in surveys of PCPs and staff and focus groups. We conducted semi-structured focus groups with 3 participant groups in each clinic: PCPs; staff and patients; and leadership. Secondary outcomes were change in pre- post- intervention PCP self-efficacy in mental illness management and team-based care. We conducted qualitative observations to better understand clinic climate.

RESULTS

We recruited 18 PCPs, 17 staff members, and 3 patient representatives. We ended recruitment early due to over recruitment. Both clinics developed and implemented practice change activities. The mean acceptability score was 3.7 (SD=0.3) on a 4-point Likert scale. PCPs had a statistically significant increase in their mental illness management self-efficacy [change = 0.9, p-value= <.01]. Focus group comments were largely positive, with PCPs requesting additional coaching.

CONCLUSIONS

RELATED was feasible and highly acceptable. It led to positive changes in PCP self-efficacy in Mental Illness Management. If confirmed as an effective implementation strategy, RELATED has the potential to significantly impact implementation of evidence-based interventions for patients with mental illness in primary care.

Evaluating the Outcome of Multi-Morbid Patients Cared for by Hospitalists: a Report of Integrated Medical Model in Korea

BACKGROUND

The lack of medical personnel has led to the employment of hospitalists in Korean hospitals to provide high-quality medical care. However, whether hospitalists' care can improve patients' outcomes remains unclear. We aimed to analyze the outcome in patients cared for by hospitalists.

METHODS

A retrospective review was conducted in 1,015 patients diagnosed with pneumonia or urinary tract infection from March 2017 to July 2018. After excluding 306 patients, 709 in the general ward who were admitted via the emergency department were enrolled, including 169 and 540 who were cared for by hospitalists (HGs) and non-hospitalists (NHGs), respectively. We compared the length of hospital stay (LOS), in-hospital mortality, readmission rate, comorbidity, and disease severity between the two groups. Comorbidities were analyzed using Charlson comorbidity index (CCI).

RESULTS

HG LOS (median, interquartile range [IQR], 8 [5-12] days) was lower than NHG LOS (median [IQR], 10 [7-15] days), (P < 0.001). Of the 30 (4.2%) patients who died during their hospital stay, a lower percentage of HG patients (2.4%) than that of NHG patients (4.8%) died, but the difference between the two groups was not significant (P = 0.170). In a subgroup analysis, HG LOS was shorter than NHG LOS (median [IQR], 8 [5-12] vs. 10 [7-16] days, respectively, P < 0.001) with CCI of ≥ 5 points.

CONCLUSION

Hospitalist care can improve the LOS of patients, especially those with multiple comorbidities. Further studies are warranted to evaluate the impact of hospitalist care in Korea.

CKD in Patients with Bilateral Oophorectomy

BACKGROUND AND OBJECTIVES

Premenopausal women who undergo bilateral oophorectomy are at a higher risk of morbidity and mortality. Given the potential benefits of estrogen on kidney function, we hypothesized that women who undergo bilateral oophorectomy are at higher risk of CKD.

DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS

We performed a population-based cohort study of 1653 women residing in Olmsted County, Minnesota who underwent bilateral oophorectomy before age 50 years old and before the onset of menopause from 1988 to 2007. These women were matched by age (±1 year) to 1653 referent women who did not undergo oophorectomy. Women were followed over a median of 14 years to assess the incidence of CKD. CKD was primarily defined using eGFR (eGFR<60 ml/min per 1.73 m2 on two occasions >90 days apart). Hazard ratios were derived using Cox proportional hazards models, and absolute risk increases were derived using Kaplan-Meier curves at 20 years. All analyses were adjusted for 17 chronic conditions present at index date, race, education, body mass index, smoking, age, and calendar year.

RESULTS

Women who underwent bilateral oophorectomy had a higher risk of eGFR-based CKD (211 events for oophorectomy and 131 for referent women; adjusted hazard ratio, 1.42; 95% confidence interval, 1.14 to 1.77; absolute risk increase, 6.6%). The risk was higher in women who underwent oophorectomy at age ≤45 years old (110 events for oophorectomy and 60 for referent women; adjusted hazard ratio, 1.59; 95% confidence interval, 1.15 to 2.19; absolute risk increase, 7.5%).

CONCLUSIONS

Premenopausal women who undergo bilateral oophorectomy, particularly those ≤45 years old, are at higher risk of developing CKD, even after adjusting for multiple chronic conditions and other possible confounders present at index date.

PODCAST

This article contains a podcast at https://www.asn-online.org/media/podcast/CJASN/2018_10_11_CJASNPodcast_18_1.

Meal Tickets for Better Health, Lower Costs

Community Servings, a not-for-profit organization in the Boston area, delivers medically tailored meals that take into account the nutritional needs of people with chronic illnesses. The idea is to ensure that a patient's food addresses his or her specific health conditions.

An Interactive Platform to Visualize Data-Driven Clinical Pathways for the Management of Multiple Chronic Conditions

Patients with multiple chronic conditions (MCC) pose an increasingly complex health management challenge worldwide, particularly due to the significant gap in our understanding of how to provide coordinated care. Drawing on our prior research on learning data-driven clinical pathways from actual practice data, this paper describes a prototype, interactive platform for visualizing the pathways of MCC to support shared decision making. Created using Python web framework, JavaScript library and our clinical pathway learning algorithm, the visualization platform allows clinicians and patients to learn the dominant patterns of co-progression of multiple clinical events from their own data, and interactively explore and interpret the pathways. We demonstrate functionalities of the platform using a cluster of 36 patients, identified from a dataset of 1,084 patients, who are diagnosed with at least chronic kidney disease, hypertension, and diabetes. Future evaluation studies will explore the use of this platform to better understand and manage MCC.

Designing, Implementing, and Evaluating Mobile Health Technologies for Managing Chronic Conditions in Older Adults: A Scoping Review

Background

The current landscape of a rapidly aging population accompanied by multiple chronic conditions presents numerous challenges to optimally support the complex needs of this group. Mobile health (mHealth) technologies have shown promise in supporting older persons to manage chronic conditions; however, there remains a dearth of evidence-informed guidance to develop such innovations.

Objectives

The purpose of this study was to conduct a scoping review of current practices and recommendations for designing, implementing, and evaluating mHealth technologies to support the management of chronic conditions in community-dwelling older adults.

Methods

A 5-stage scoping review methodology was used to map the relevant literature published between January 2005 and March 2015 as follows: (1) identified the research question, (2) identified relevant studies, (3) selected relevant studies for review, (4) charted data from selected literature, and (5) summarized and reported results. Electronic searches were conducted in 5 databases. In addition, hand searches of reference lists and a key journal were completed. Inclusion criteria were research and nonresearch papers focused on mHealth technologies designed for use by community-living older adults with at least one chronic condition, or health care providers or informal caregivers providing care in the home and community setting. Two reviewers independently identified articles for review and extracted data.

Results

We identified 42 articles that met the inclusion criteria. Of these, described innovations focused on older adults with specific chronic conditions (n=17), chronic conditions in general (n=6), or older adults in general or those receiving homecare services (n=18). Most of the mHealth solutions described were designed for use by both patients and health care providers or health care providers only. Thematic categories identified included the following: (1) practices and considerations when designing mHealth technologies; (2) factors that support/hinder feasibility, acceptability, and usability of mHealth technologies; and (3) approaches or methods for evaluating mHealth technologies.

Conclusions

There is limited yet increasing use of mHealth technologies in home health care for older adults. A user-centered, collaborative, interdisciplinary approach to enhance feasibility, acceptability, and usability of mHealth innovations is imperative. Creating teams with the required pools of expertise and insight regarding needs is critical. The cyclical, iterative process of developing mHealth innovations needs to be viewed as a whole with supportive theoretical frameworks. Many barriers to implementation and sustainability have limited the number of successful, evidence-based mHealth solutions beyond the pilot or feasibility stage. The science of implementation of mHealth technologies in home-based care for older adults and self-management of chronic conditions are important areas for further research. Additionally, changing needs as cohorts and technologies advance are important considerations. Lessons learned from the data and important implications for practice, policy, and research are discussed to inform the future development of innovations.

The Method of Randomization for Cluster-Randomized Trials: Challenges of Including Patients with Multiple Chronic Conditions

Cluster-randomized clinical trials (CRT) are trials in which the unit of randomization is not a participant but a group (e.g. healthcare systems or community centers). They are suitable when the intervention applies naturally to the cluster (e.g. healthcare policy); when lack of independence among participants may occur (e.g. nursing home hygiene); or when it is most ethical to apply an intervention to all within a group (e.g. school-level immunization). Because participants in the same cluster receive the same intervention, CRT may approximate clinical practice, and may produce generalizable findings. However, when not properly designed or interpreted, CRT may induce biased results. CRT designs have features that add complexity to statistical estimation and inference. Chief among these is the cluster-level correlation in response measurements induced by the randomization. A critical consideration is the experimental unit of inference; often it is desirable to consider intervention effects at the level of the individual rather than the cluster. Finally, given that the number of clusters available may be limited, simple forms of randomization may not achieve balance between intervention and control arms at either the cluster- or participant-level. In non-clustered clinical trials, balance of key factors may be easier to achieve because the sample can be homogenous by exclusion of participants with multiple chronic conditions (MCC). CRTs, which are often pragmatic, may eschew such restrictions. Failure to account for imbalance may induce bias and reducing validity. This article focuses on the complexities of randomization in the design of CRTs, such as the inclusion of patients with MCC, and imbalances in covariate factors across clusters.