Health-care workforce implications of the Dobbs v Jackson Women's Health Organization decision.

The Dobbs v Jackson Women's Health Organization Supreme Court decision, which revoked the constitutional right to abortion in the USA, has impacted the national medical workforce. Impacts vary across states, but providers in states with restrictive abortion laws now must contend with evolving legal and ethical challenges that have the potential to affect workforce safety, mental health, education, and training opportunities, in addition to having serious impacts on patient health and far-reaching societal consequences. Moreover, Dobbs has consequences on almost every facet of the medical workforce, including on physicians, nurses, pharmacists, and others who work within the health-care system. Comprehensive research is urgently needed to understand the wide-ranging implications of Dobbs on the medical workforce, including legal, ethical, clinical, and psychological dimensions, to inform evidence-based policies and standards of care in abortion-restrictive settings. Lessons from the USA might also have global relevance for countries facing similar restrictions on reproductive care.

Societal implications of the Dobbs v Jackson Women's Health Organization decision.

On June 24, 2022, the US Supreme Court's decision in Dobbs v Jackson Women's Health Organization marked the removal of the constitutional right to abortion in the USA, introducing a complex ethical and legal landscape for patients and providers. This shift has had immediate health and equity repercussions, but it is also crucial to examine the broader impacts on states, health-care systems, and society as a whole. Restrictions on abortion access extend beyond immediate reproductive care concerns, necessitating a comprehensive understanding of the ruling's consequences across micro and macro levels. To mitigate potential harm, it is imperative to establish a research agenda that informs policy making and ensures effective long-term monitoring and reporting, addressing both immediate and future impacts.

Responsiveness and trajectory of changes in the rating of everyday arm-use in the community and home (REACH) scale over the first-year post-stroke.

OBJECTIVE: To examine the trajectory of the Rating of Everyday Arm-use in the Community and Home (REACH) scores over the first-year post-stroke, determine if REACH scores are modified by baseline impairment level and explore the responsiveness of the REACH scale through hypothesis testing. DESIGN: Consecutive sample longitudinal study. SETTING: Participants were recruited from an acute stroke unit and followed up at three, six, and 12 months post-stroke. PARTICIPANTS: Seventy-three participants with upper limb weakness (Shoulder Abduction and Finger Extension score ≤ 8). MAIN MEASURES: The REACH scale is a six-level self-report classification scale that captures how the affected upper limb is being used in one's own environment. The Fugl-Meyer Upper Limb Assessment (FMA-UL), Stroke Upper Limb Capacity Scale (SULCS), accelerometer-based activity count ratio and Global Rating of Change Scale (GRCS) were used to capture upper limb impairment, capacity, and use. RESULTS: The following proportions of participants improved at least one REACH level: 64% from baseline to three months, 37% from three to six months and 13% from six to 12 months post-stroke. The trajectory of REACH scores over time was associated with baseline impairment. Change in REACH had a moderate correlation to change in SULCS and the GRCS but not FMA-UL or the activity count ratio. CONCLUSIONS: Results of hypothesis testing provide preliminary evidence of the responsiveness of the REACH scale. On average, individuals with severe impairment continued to show improvement in use over the first year, while those with mild/moderate impairment plateaued and a small proportion decreased in the early chronic phase.

Scaling Family Voices and Engagement to Measure and Improve Systems Performance and Whole Child Health: Progress and Lessons from the Child and Adolescent Health Measurement Initiative.

BACKGROUND: The 1997 legislation authorizing the United States Child Health Insurance Program sparked progress to measure and publicly report on children's healthcare services quality and system performance. To meet the moment, the national Child and Adolescent Health Measurement Initiative (CAHMI) public-private collaboration was launched to put families at the center of defining, measuring and using healthcare performance information to drive improved services quality and outcomes. METHODS: Since 1996 the CAHMI followed an intentional path of collaborative action to (1) articulate shared goals for child health and advance a comprehensive, life-course and outcomes-based healthcare performance measurement and reporting framework; (2) collaborate with families, providers, payers and government agencies to specify, validate and support national, state and local use of dozens of framework aligned measures; (3) create novel public-facing digital data query, collection and reporting tools that liberate data findings for use by families, providers, advocates, policymakers, the media and researchers (Data Resource Center, Well Visit Planner); and (4) generate field building research and systems change agendas and frameworks (Prioritizing Possibilities, Engagement In Action) to catalyze prevention, flourishing and healing centered, trauma-informed, whole child and family engaged approaches, integrated systems and supportive financing and policies. CONCLUSIONS: Lessons call for a restored, sustainable family and community engaged measurement infrastructure, public activation campaigns, and undeterred federal, state and systems leadership that implement policies to incentivize, resource, measure and remove barriers to integrated systems of care that scale family engagement to equitably promote whole child, youth and family well-being. Population health requires effective family engagement.

A Pilot Study for Remote Evaluation of Upper Extremity Motor Function After Stroke: The Arm Capacity and Movement Test (ArmCAM).

IMPORTANCE: A simple measure that can be administered remotely by means of videoconferencing is needed for telerehabilitation. OBJECTIVE: To develop a valid and reliable measure, the Arm Capacity and Movement Test (ArmCAM), that can be administered remotely by means of videoconferencing to evaluate upper extremity motor function poststroke. DESIGN: Cross-sectional. SETTING: Participants' homes. PARTICIPANTS: A sample of people with stroke (N = 31). OUTCOMES AND MEASURES: Test-retest and interrater reliabilities were assessed through intraclass correlation coefficients (ICCs), Cohen's κ, standard error of measurement (SEM), and minimal detectable change (MDC). Interrater reliability validity was examined with Pearson and Spearman rank correlation coefficients. RESULTS: The ArmCAM (range = 0-30) consists of 10 items and takes 15 min to administer with no special equipment except for a computer and internet access. The ICCs for test-retest reliability and interrater reliability were .997 and .993, respectively. The SEM and MDC95 were 0.74 and 2.05 points, respectively. Individual items' test-retest reliability and interrater levels of agreement ranged from .811 to .957 and from .475 to .842, respectively, as measured with Cohen's κ. Correlations between the ArmCAM and the Rating of Everyday Arm-use in the Community and Home scale; the Stroke Impact Scale, hand function domain; the Fugl-Meyer Assessment for upper extremity; and the Action Research Arm Test were good to excellent. CONCLUSIONS AND RELEVANCE: The ArmCAM has good reliability and validity. It is an easy-to-use assessment designed to be administered remotely by means of videoconferencing. What This Article Adds: The ArmCAM is a psychometrically sound instrument that can be easily administered remotely by means of videoconferencing to evaluate upper extremity motor function after stroke.

Clinicians' perceptions of a potential wearable device for capturing upper limb activity post-stroke: a qualitative focus group study.

BACKGROUND: There is growing interest in the use of wearable devices that track upper limb activity after stroke to help determine and motivate the optimal dose of upper limb practice. The purpose of this study was to explore clinicians' perceptions of a prospective wearable device that captures upper limb activity to assist in the design of devices for use in rehabilitation practice. METHODS: Four focus groups with 18 clinicians (occupational and physical therapists with stroke practice experience from a hospital or private practice setting) were conducted. Data were analyzed thematically. RESULTS: Our analysis revealed three themes: (1) "Quantity and quality is ideal" emphasized how an ideal device would capture both quantity and quality of movement; (2) "Most useful outside therapy sessions" described how therapists foresaw using the device outside of therapy sessions to monitor homework adherence, provide self-monitoring of use, motivate greater use and provide biofeedback on movement quality; (3) "User-friendly please" advocated for the creation of a device that was easy to use and customizable, which reflected the client-centered nature of their treatment. CONCLUSIONS: Findings from this study suggest that clinicians support the development of wearable devices that capture upper limb activity outside of therapy for individuals with some reach to grasp ability. Devices that are easy to use and capture both quality and quantity may result in greater uptake in the clinical setting. Future studies examining acceptability of wearable devices for tracking upper limb activity from the perspective of individuals with stroke are needed.

Preliminary Examination of the Ability of a New Wearable Device to Capture Functional Hand Activity After Stroke.

Background and Purpose- A reliable measure of movement repetitions is required to assist in determining the optimal dose for maximizing upper limb recovery after stroke. This study investigated the ability of a new wearable device to capture reach-to-grasp repetitions in individuals with stroke. Methods- Eight individuals with stroke wore an instrumented wrist bracelet while completing 12 upper limb activities. Participants completed 5 and 10 repetitions of each activity on 2 separate sessions (time 1 and time 2) and completed clinical assessments (Fugl-Meyer Upper Extremity Assessment and Action Research Arm Test). Mean reach-to-grasp counts (ie, hand counts) were compared across activities. Scaling properties were assessed by the ratio of 10 repetitions to 5 repetitions for the activities (ie, expected value of 2). Bland-Altman diagrams were used to examine agreement between time 1 and time 2 counts. Results- The wrist bracelet averaged 0 to 0.6 hand counts per repetition for the arm-only and hand-only activities and averaged 1 to 2 counts per repetition of the reach-to-grasp activities. The mean ratio of 10 repetition to 5 repetition counts was ≈2 for all of the reach-to-grasp activities. Mean differences from time 1 to time 2 were <0.3 counts/repetition for all activities except one. Conclusions- These preliminary results provide evidence that the wrist bracelet is able to capture hand counts over a variety of tasks in a consistent manner. This wrist bracelet could be further developed as a tool to record dose of upper limb practice for research or clinical practice, as well as providing motivation and accountability to patients participating in treatments requiring upper limb movement repetitions. Currently, there are limitations in interpreting the impact of impairment and common compensatory movements on hand counts, and it would be valuable for future studies to explore these effects.

Healthcare utilization after stroke in Canada- a population based study.

BACKGROUND: More people are surviving stroke but are living with functional limitations that pose increasing demands on their families and the healthcare system. The aim of this study was to determine the extent to which stroke survivors use healthcare services on a population level compared to people without a stroke. METHODS: This was a cross-sectional population-based survey that collected information related to health status, healthcare utilization and health determinants using the 2014 Canadian Community Health Survey. Healthcare utilization was assessed by a computer-assisted personal interview asking about visits to healthcare professionals in the last 12 months. Negative binomial regression was used to estimate the incidence rate ratios (IRR) and 95% confidence intervals (CI) for the number of health professional visits between stroke survivors and people without a stroke. The regression models were adjusted for demographics, as well as for mobility, mood/anxiety disorder and cardiometabolic comorbid conditions. RESULTS: The study sample included 35,759 respondents (948 stroke, 34,811 non-stroke) and equate to 12,396,641 (286,783 stroke; 12,109,858 non-stroke) when sampling weights were applied. Stroke survivors visited their family doctor the most, and stroke was significantly associated with more visits to most healthcare professionals [e.g., family doctor IRR 1.6 (CI 1.4-1.8); nurse IRR 3.0 (CI 1.8-4.8); physiotherapist IRR 1.8 (CI 1.1-1.9); psychologist IRR 4.0 (CI 1.1-5.7)] except the dental practitioner, which was less [IRR 0.7 (CI 0.6-0.9)]. Mood/anxiety condition, but not cardiometabolic comorbid condition increased the probability of visiting a family doctor or social worker/ counsellor among people with stroke. CONCLUSION: Stroke survivors visited healthcare professionals more often than people without stroke, and were approximately twice as likely to visit with those who manage problems that may arise after a stroke (e.g., family doctor, nurse, psychologist, physiotherapist). The effects of a stroke include mobility impairment and mood/ anxiety disorders. Therefore, adequate access to stroke-related healthcare services should be provided for stroke survivors, as this may improve functional outcome and reduce future healthcare costs.

Research versus practice in quality improvement? Understanding how we can bridge the gap.

The gap between implementers and researchers of quality improvement (QI) has hampered the degree and speed of change needed to reduce avoidable suffering and harm in health care. Underlying causes of this gap include differences in goals and incentives, preferred methodologies, level and types of evidence prioritized and targeted audiences. The Salzburg Global Seminar on 'Better Health Care: How do we learn about improvement?' brought together researchers, policy makers, funders, implementers, evaluators from low-, middle- and high-income countries to explore how to increase the impact of QI. In this paper, we describe some of the reasons for this gap and offer suggestions to better bridge the chasm between researchers and implementers. Effectively bridging this gap can increase the generalizability of QI interventions, accelerate the spread of effective approaches while also strengthening the local work of implementers. Increasing the effectiveness of research and work in the field will support the knowledge translation needed to achieve quality Universal Health Coverage and the Sustainable Development Goals.

Investigating measures of intensity during a structured upper limb exercise program in stroke rehabilitation: an exploratory study.

OBJECTIVES: To use 3 measures of intensity­time, observed repetitions, and wrist accelerometer activity counts­to describe the intensity of exercise carried out when completing a structured upper limb exercise program, and to explore whether a relationship exists between wrist accelerometer activity counts and observed repetitions. DESIGN: Observational study design. SETTING: Rehabilitation center research laboratory. PARTICIPANTS: Community-dwelling stroke survivors (N=13) with upper limb hemiparesis. INTERVENTION: Not applicable. MAIN OUTCOME MEASURES: Time engaged in exercise, total repetitions, and accelerometer activity counts for the affected upper limb. RESULTS: Mean session time ± SD was 48.5±7.8 minutes. Participants were observed to be engaged in exercises for 63.8%±7.5% of the total session time. The median number of observed repetitions per session was 340 (interquartile range [IQR], 199-407), of which 251 (IQR, 80-309) were purposeful repetitions. Wrist accelerometers showed the stroke survivors' upper limbs to be moving for 75.7%±15.9% of the total session time. Purposeful repetitions and activity counts were found to be significantly correlated (ρ=.627, P<.05). CONCLUSIONS: Stroke survivors were not actively engaged in exercises for approximately one third of each exercise session. Overall session time may not be the most accurate measure of intensity. Counting repetitions was feasible when using a structured exercise program and provides a clinically meaningful way of monitoring intensity and progression. Wrist accelerometers provided an objective measure for how much the arm moves, which correlated with purposeful repetitions. Further research using repetitions and accelerometers as measures of intensity is warranted.

The relationship between Rating of Everyday Arm-use in the Community and Home (REACH) scale affected arm-use assessment, activity and participation after stroke.

BACKGROUND AND OBJECTIVES: While arm function has been traditionally used as a primary goal for upper extremity rehabilitation post-stroke, we propose a simple measure of arm use, which may translate into better activities and participation. The aim was to determine the relationship between arm use and measures of activity and participation. METHODS: This was a cross-sectional study with evaluative components involving community-dwelling individuals with chronic stroke. The Rating of Everyday Arm-Use in the Community and Home (REACH) Scale was used to assess affected arm use, Barthel Index and activity domain of the Stroke Impact Scale (SIS) for activities, and participation domain of the SIS for participation. The participants were also asked if they resumed driving after the stroke. RESULTS: Forty-nine individuals (mean age = 70.3 ± 11.5 years, male sex = 51%) living with the effects of a stroke for at least 3 months participated in this study. There was a positive relationship between affected arm use and activities (Barthel Index score - rs  = 0.464; SIS activities - rs  = 0.686), participation (rs  = 0.479), and driving (rs  = 0.581). The Barthel Index scores were higher for individuals with dominant arm hemiparesis (p = 0.003) or left hemisphere lesions (p = 0.005). There was also greater arm use in left hemisphere lesions (p = 0.018). CONCLUSIONS: Affected arm use in individuals with chronic stroke is related to activities and participation. Given the importance of arm use in activities and participation after stroke, rehabilitation therapists may consider utilizing the REACH Scale, a simple and quick outcome measure, as a means to assess arm use and implement effective interventions for improving arm use.

Prevalence of Walking Limitation After Acute Stroke and Its Impact on Discharge to Home.

OBJECTIVE: The purpose of this study was to provide contemporary estimates of the prevalence of lower extremity motor impairment and walking limitation after first-ever stroke and to characterize the predictive nature of early walking ability for being discharged home after acute hospitalization. METHODS: In this cohort study, data were collected from a metropolitan acute care hospital in Canada at admission for 487 adults with first-ever acute ischemic or hemorrhagic stroke. Lower extremity motor impairment and walking limitation were measured using the National Institutes of Health Stroke Scale and AlphaFIM, respectively. Parallel multivariable logistic regression models were built to predict discharge home after acute hospitalization compared with further hospitalization. RESULTS: For patients surviving a first-ever stroke, 44.1% presented with some degree of lower extremity motor impairment and 46.0% were unable to walk. In a multivariable model built around a binary classification of walking (Nagelkerke R2 = 0.41), those with any ability to walk at admission (with or without therapist assistance) had 9.48 times greater odds of being discharged home (odds ratio = 9.48, 95% CI = 6.11-14.92) than those who were unable. In a parallel multivariable model built around an ordinal classification of walking (Nagelkerke R2 = 0.49), patients had 2.07 times greater odds (odds ratio = 2.07, 95% CI = 1.82-2.38) of being discharged home for each increment on a 6-point walking scale (total dependence to complete independence) assessed at acute admission. CONCLUSION: Approximately one-half of patients with first-ever stroke present with lower extremity weakness and walking limitation. Early walking ability is a significant predictor of returning home after acute hospitalization, independent of stroke severity. Discharge planning may be facilitated early after stroke with the familiar assessment of walking ability. IMPACT: An early assessment of walking function within days of stroke admission can help to streamline discharge planning. LAY SUMMARY: Nearly one-half of all individuals who experience a first-time stroke have walking difficulty when they arrive at the hospital. The severity of the walking limitation can predict whether a patient will eventually be discharged home or go on to further hospitalization.

Virtual Arm Boot Camp (V-ABC): study protocol for a mixed-methods study to increase upper limb recovery after stroke with an intensive program coupled with a grasp count device.

BACKGROUND: Encouraging upper limb use and increasing intensity of practice in rehabilitation are two important goals for optimizing upper limb recovery post stroke. Feedback from novel wearable sensors may influence practice behaviour to promote achieving these goals. A wearable sensor can potentially be used in conjunction with a virtually monitored home program for greater patient convenience, or due to restrictions that preclude in-person visits, such as COVID-19. This trial aims to (1) determine the efficacy of a virtual behaviour change program that relies on feedback from a custom wearable sensor to increase use and function of the upper limb post stroke; and (2) explore the experiences and perceptions of using a program coupled with wearable sensors to increase arm use from the perspective of people with stroke. METHODS: This mixed-methods study will utilize a prospective controlled trial with random allocation to immediate or 3-week delayed entry to determine the efficacy of a 3-week behaviour change program with a nested qualitative description study. The intervention, the Virtual Arm Boot Camp (V-ABC) features feedback from a wearable device, which is intended to increase upper limb use post stroke, as well as 6 virtual sessions with a therapist. Sixty-four adults within 1-year post stroke onset will be recruited from seven rehabilitation centres. All outcomes will be collected virtually. The primary outcome measure is upper limb use measured by grasp counts over 3 days from the wearable sensor (TENZR) after the 3-week intervention. Secondary outcomes include upper limb function (Arm Capacity and Movement Test) and self-reported function (Hand Function and Strength subscale from the Stroke Impact Scale). Outcome data will be collected at baseline, post-intervention and at 2 months retention. The qualitative component will explore the experiences and acceptability of using a home program with a wearable sensor for increasing arm use from the point of view of individuals with stroke. Semi-structured interviews will be conducted with participants after they have experienced the intervention. Qualitative data will be analysed using content analysis. DISCUSSION: This study will provide novel information regarding the efficacy and acceptability of virtually delivered programs to improve upper extremity recovery, and the use of wearable sensors to assist with behaviour change. TRIAL REGISTRATION: ClinicalTrials.gov NCT04232163 . January 18, 2020.

Governance and funding best practices for embedded research programs.

Health systems are increasingly embracing embedded research (ER) program models that allow researchers to integrate into operational and clinical practices. Successful ER programs rely on unique funding streams and bidirectional relationships with health system operational and executive leaders. This commentary summarizes current practices and recommendations for funding and governing ER programs. Three funding best practices are recommended: a mixed portfolio of short-term and long-term projects funded through a combination of internal and external sources; leveraging the community benefit requirement of non-profit hospitals and forming connections in the development office; and a research and implementation franchise model. Governance best practices include a strong relationship between researchers, operational and executive leaders and an external advisory committee to ensure that research topics are relevant to the needs of patients, the health system, and other stakeholders. These recommended best practices can help lay the foundation for early attempts to identify shared challenges and successes as health systems establish new ER programs and existing programs continue to mature.

Challenges of Estimating Accurate Prevalence of Arm Weakness Early After Stroke.

Background. Recent studies have reported lower statistics of upper limb (UL) weakness (48-57%) compared to widely cited values collected over 2 decades ago (70-80%). Objective. To explore potential factors contributing to the accuracy of prevalence values of UL weakness using a case study from a single regional centre. Methods. All patients admitted to the acute stroke unit with suspected diagnosis of stroke were screened from February 2016 to August 2017. Upper limb weakness was captured (a) prospectively using the Shoulder Abduction and Finger Extension (SAFE) score performed by unit physical therapists within 7 days post-stroke and (b) retrospectively via chart review using the National Institutes of Health Stroke Scale (NIHSS) arm score at admission and 24 hours post-admission. Results. A total of 656 patients were admitted with a first-ever stroke, and 621 (95%) individuals were administered the SAFE score. A total of 40% of individuals had UL weakness using the SAFE score (SAFE ≤8) at a mean time of 1.9 (SD 1.5) days post-stroke. In the same sample, 57% and 49% had UL weakness using the admission and 24-hour post-admission NIHSS arm score, respectively. Conclusions. The accuracy of population-level UL weakness prevalence values can be affected by weakness measure and score cut-off, time post-stroke weakness is captured, sample characteristics and use of single or multiple sites. Researchers using prevalence values for clinical trial planning should consider these attributes when using prevalence data for estimating recruitment rates and resource needs.

Real-World Functional Grasping Activity in Individuals With Stroke and Healthy Controls Using a Novel Wearable Wrist Sensor.

Background. While wrist-worn accelerometers have been used to measure upper extremity use in the past, they primarily measure arm motion and lack the ability to capture functional hand opening and grasping activities which are essential for activities of daily living. Objectives. To characterize real-world functional hand opening and grasping activities captured over multiple days in adults with stroke and in matched controls using a novel wrist-worn device. Methods. Twenty-eight individuals (fourteen individuals with stroke and 14 healthy controls) wore the devices on both wrists for 3 days. Functional hand activity was characterized by daily hand counts, hourly hand counts, and asymmetry between hands. The Mann-Whitney U test was used to evaluate differences in functional hand activities between the two groups. Results. The stroke group had 1480 and 4691 daily hand counts in their affected and nonaffected hands, respectively. The control group had 3559 and 5021 daily hand counts in their nondominant and dominant hands, respectively. Significantly fewer daily hand counts (P = .019), fewer hourly hand counts (P = .024), and a larger asymmetry index (P = .01) of the affected hand in the stroke group were found compared to that of the nondominant hand in the control group. Conclusions. Real-world functional upper extremity activity can be measured using this novel wrist-worn device. Unlike wrist-worn accelerometers, this wrist-worn device can provide a measurement of functional grasping activity. The findings have implications for clinicians and researchers to monitor and assess real-world hand activity, as well as to apply specific doses of repetitions to improve neural recovery after stroke.

Proposed CMS Data Access Changes May Hamper Health Services Research.

This Viewpoint discusses how proposed Centers for Medicare & Medicaid Services data access changes may impede health services research.

Training for Health System Improvement: Emerging Lessons from Canadian and US Approaches to Embedded Fellowships.

The benefits of supporting experiential learning for improved health and societal outcomes have been recognized in many countries. A number of funding organizations have developed competitive funding opportunities to support experiential learning in health system organizations outside of the traditional university setting. AcademyHealth in the US is an early innovator that pioneered the Delivery System Science Fellowship (DSSF) and inspired Canada's creation of the Health System Impact (HSI) Fellowship program. The DSSF and HSI Fellowship have similar objectives: to improve the career readiness of doctorally prepared graduates and to build research capacity within health system organizations. However, the programs have taken different approaches to achieve these objectives and operate in different healthcare systems. This paper outlines the two models of embedded fellowships, analyzes their commonalities and differences, discusses lessons learned and suggests future directions for health services and policy research training.

Positioning the Health Services Research Workforce for Continued Success: Recommendations from AcademyHealth Stakeholders.

AcademyHealth established a Workforce Initiative Task Force in 2016 to conduct an assessment of the state of the health services research workforce and develop recommendations for its future in the context of the changing health care and research ecosystems. This assessment included four components: a series of commissioned papers, an online priority setting process, a multistakeholder summit, and final analysis by the AcademyHealth Education Council. This paper presents this process and the resultant list of prioritized recommendations and planned next steps.