Survivors of Intensive Care With Type 2 Diabetes and the Effect of Shared-Care Follow-Up Clinics: The SWEET-AS Randomized Controlled Pilot Study

Care Transitions After Critical Illness

Patients and their caregivers navigate multiple transitions of care across the health system as they recover from their critical illness. Current research supports the development of integrated models of care to improve patient outcomes after critical illness. Future research to ensure the development of integrated models across different regions and to understand the optimal mode of delivery of these is required.

In-person peer support for critical care survivors: The ICU REcovery Solutions cO-Led through surVivor Engagement (ICURESOLVE) pilot randomised controlled trial

BACKGROUND

Peer support is a promising intervention to mitigate post-ICU disability, however there is a paucity of rigorously designed studies.

OBJECTIVES

The objective of this study was to establish feasibility of an in-person, co-designed, peer-support model.

METHODS

Prospective, randomised, adaptive, single-centre pilot trial with blinded outcome assessment, conducted at a university-affiliated hospital in Melbourne, Australia. Intensive care unit survivors (and their nominated caregiver, where survivor and caregiver are referred to as a dyad), >18 years of age, able to speak and understand English and participate in phone surveys, were eligible. Participants were randomised to the peer-support model (six sessions, fortnightly) or usual care (no follow-up or targeted information). Two sequential models were piloted: 1. Early (2-3 weeks post hospital discharge) 2. Later (4-6 weeks post hospital discharge). Primary outcome was feasibility of implementation measured by recruitment, intervention attendance, and outcome completion. Secondary outcomes included post-traumatic stress and social support.

RESULTS

Of the 231 eligible patients, 80 participants were recruited. In the early model we recruited 38 participants (28 patients, 10 carers; 18 singles, 10 dyads), with an average (standard deviation) age of 60 (18) years; 55 % were female. Twenty-two participants (58 %) were randomised to intervention. Participants in the early intervention model attended a median (interquartile range) of 0 (0-1) sessions (total 24 sessions), with 53% (n = 20) completing the main secondary outcome of interest (Impact of Event Scale) at the baseline and 37 % (n = 14) at the follow-up. For the later model we recruited 42 participants (32 patients, 10 carers; 22 singles, 10 dyads), with an average (standard deviation) age of 60.4 (15.4) years; 50 % were female. Twenty-one participants (50 %) were randomised to intervention. The later intervention model attended a median (interquartile range) of 1 (0-5) sessions (total: 44 sessions), with the main secondary outcome impact of events scale (IES-R) completed by 41 (98 %) participants at baseline and 29 (69 %) at follow-up.

CONCLUSIONS

In this pilot trial, a peer-support model that required in-person attendance delivered in a later posthospital phase of recovery appeared more feasible than an early model. Further research should investigate alternative modes of intervention delivery to improve feasibility (ACTRN12621000737831).

Intensive care unit follow-up clinic activities: a scoping review

The importance of ongoing post-discharge follow-up to prevent functional impairment in patients discharged from intensive care units (ICUs) is being increasingly recognized. Therefore, we conducted a scoping review, which included existing ICU follow-up clinic methodologies using the CENTRAL, MEDLINE, and CINAHL databases from their inception to December 2022. Data were examined for country or region, outpatient name, location, opening days, lead profession, eligible patients, timing of the follow-up, and assessment tools. Twelve studies were included in our review. The results obtained revealed that the methods employed by ICU follow-up clinics varied among countries and regions. The names of outpatient follow-up clinics also varied; however, all were located within the facility. These clinics were mainly physician or nurse led; however, pharmacists, physical therapists, neuropsychologists, and social workers were also involved. Some clinics were limited to critically ill patients with sepsis or those requiring ventilation. Ten studies reported the first outpatient visit 1-3 months after discharge. All studies assessed physical function, cognitive function, mental health, and the health-related quality of life. This scoping review revealed that an optimal operating format for ICU follow-up clinics needs to be established according to the categories of critically ill patients.

Clinician- and Patient-Identified Solutions to Reduce the Fragmentation of Post-ICU Care in Australia

BACKGROUND

Critical care survivors experience multiple care transitions, with no formal follow-up care pathway.

RESEARCH QUESTION

What are the potential solutions to improve the communication between treating teams and integration of care following an ICU admission, from the perspective of patients, their caregivers, intensivists, and general practitioners (GPs) from diverse socioeconomic areas?

STUDY DESIGN AND METHODS

This study included a qualitative design using semi-structured interviews with intensivists, GPs, and patients and caregivers. Framework analysis was used to analyze data and to identify solutions to improve the integration of care following hospital discharge. Patients were previously mechanically ventilated for > 24 h in the ICU and had access to a video-enabled device. Clinicians were recruited from hospital networks and a state-wide GP network.

RESULTS

Forty-six interviews with clinicians, patients, and caregivers were completed (15 intensivists, eight GPs, 15 patients, and eight caregivers). Three higher level feedback loops were identified that comprised 10 themes. Feedback loop 1 was an ICU and primary care collaboration. It included the following: (1) developing collaborative relationships between the ICU and primary care; (2) providing interprofessional education and resources to support primary care; and (3) improving role clarity for patient follow-up care. Feedback loop 2 was developing mechanisms for improved communication across the care continuum. It included: (4) timely, concise information-sharing with primary care on post-ICU recovery; (5) survivorship-focused information-sharing across the continuum of care; (6) empowering patients and caregivers in self-management; and (7) creation of a care coordinator role for survivors. Feedback loop 3 was learning from post-ICU outcomes to improve future care. It included: (8) developing comprehensive post-ICU care pathways; (9) enhancing support for patients following a hospital stay; and (10) integration of post-ICU outcomes within the ICU to improve clinician morale and understanding.

INTERPRETATION

Practical solutions to enhance the quality of survivorship for critical care survivors and their caregivers were identified. These themes are mapped to a novel conceptual model that includes key feedback loops for health system improvements and foci for future interventional trials to improve ICU survivorship outcomes.

Models of intensive care unit follow-up care and feasibility of intervention delivery: A systematic review

BACKGROUND

The optimal model of outpatient intensive care unit (ICU) follow-up care remains uncertain, and there is limited evidence of benefit.

RESEARCH QUESTION

The objective of this research is to describe existing models of outpatient ICU follow-up care, quantify participant recruitment and retention, and describe facilitators of patient engagement.

STUDY DESIGN & METHODS

A systematic search of the MEDLINE and EMBASE databases was undertaken in June 2021. Two independent reviewers screened titles, abstracts, and full texts against eligibility criteria. Studies of adults with any outpatient ICU follow-up were included. Studies were excluded if published before 1990, not published in English, or of paediatric patients. Quantitative data were extracted using predefined data fields. Key themes were extracted from qualitative studies. Risk of bias was assessed.

RESULTS

A total of 531 studies were screened. Forty-seven studies (32 quantitative and 15 qualitative studies) with a total of 5998 participants were included. Of 33 quantitative study interventions, the most frequently reported model of care was in-person hospital-based interventions (n = 27), with 10 hybrid (part in-hospital, part remote) interventions. Literature was limited for interventions without hospital attendance (n = 6), including telehealth and diaries. The median ranges of rates of recruitment, rates of intervention delivery, and retention to outcome assessment for hospital-based interventions were 51.5% [24-94%], 61.9% [8-100%], and 52% [8.1-82%], respectively. Rates were higher for interventions without hospital attendance: 82.6% [60-100%], 68.5% [59-89%], and 75% [54-100%]. Facilitators of engagement included patient-perceived value of follow-up, continuity of care, intervention accessibility and flexibility, and follow-up design. Studies had a moderate risk of bias.

INTERPRETATION

Models of post-ICU care without in-person attendance at the index hospital potentially have higher rates of recruitment, intervention delivery success, and increased participant retention when compared to hospital-based interventions.

PROSPERO REGISTRATION

CRD42021260279.

Survivorship outcomes for critically ill patients in Australia and New Zealand: A scoping review

INTRODUCTION

Impairments after critical illness, termed the post-intensive care syndrome, are an increasing focus of research in Australasia. However, this research is yet to be cohesively synthesised and/or summarised.

OBJECTIVE

The aim of this scoping review was to explore patient outcomes of survivorship research, identify measures, methodologies, and designs, and explore the reported findings in Australasia.

INCLUSION CRITERIA

Studies reporting outcomes for adult survivors of critical illness from Australia and New Zealand in the following domains: physical, functional, psychosocial, cognitive, health-related quality of life (HRQoL), discharge destination, health care use, return to work, and ongoing symptoms/complications of critical illness.

METHODS

The Joanna Briggs Institute scoping review methodology framework was used. A protocol was published on the open science framework, and the search used Ovid MEDLINE, Scopus, ProQuest, and Google databases. Eligible studies were based on reports from Australia and New Zealand published in English between January 2000 and March 2022.

RESULTS

There were 68 studies identified with a wide array of study aims, methodology, and designs. The most common study type was nonexperimental cohort studies (n = 17), followed by studies using secondary analyses of other study types (n = 13). HRQoL was the most common domain of recovery reported. Overall, the identified studies reported that impairments and activity restrictions were associated with reduced HRQoL and reduced functional status was prevalent in survivors of critical illness. About 25% of 6-month survivors reported some form of disability. Usually, by 6 to12 months after critical illness, impairments had improved.

CONCLUSIONS

Reports of long-term outcomes for survivors of critical illness in Australia highlight that impairments and activity limitations are common and are associated with poor HRQoL. There was little New Zealand-specific research related to prevalence, impact, unmet needs, ongoing symptoms, complications from critical illness, and barriers to recovery.

Post-intensive care syndrome follow-up system after hospital discharge: a narrative review

BACKGROUND

Post-intensive care syndrome (PICS) is the long-lasting impairment of physical functions, cognitive functions, and mental health after intensive care. Although a long-term follow-up is essential for the successful management of PICS, few reviews have summarized evidence for the efficacy and management of the PICS follow-up system.

MAIN TEXT

The PICS follow-up system includes a PICS follow-up clinic, home visitations, telephone or mail follow-ups, and telemedicine. The first PICS follow-up clinic was established in the U.K. in 1993 and its use spread thereafter. There are currently no consistent findings on the efficacy of PICS follow-up clinics. Under recent evidence and recommendations, attendance at a PICS follow-up clinic needs to start within three months after hospital discharge. A multidisciplinary team approach is important for the treatment of PICS from various aspects of impairments, including the nutritional status. We classified face-to-face and telephone-based assessments for a PICS follow-up from recent recommendations. Recent findings on medications, rehabilitation, and nutrition for the treatment of PICS were summarized.

CONCLUSIONS

This narrative review aimed to summarize the PICS follow-up system after hospital discharge and provide a comprehensive approach for the prevention and treatment of PICS.

Follow-up focused on psychological intervention initiated after intensive care unit in adult patients and informal caregivers: a systematic review and meta-analysis

Psychological dysfunction is one of the considerable health-related outcomes among critically-ill patients and their informal caregivers. Follow-up of intensive care unit (ICU) survivors has been conducted in a variety of different ways, with different timing after discharge, targets of interest (physical, psychological, social) and measures used. Of diverse ICU follow-up, the effects of follow-ups which focused on psychological interventions are unknown. Our research question was whether follow-up with patients and their informal caregivers after ICU discharge improved mental health compared to usual care. We published a protocol for this systematic review and meta-analysis in https://www.protocols.io/ (https://dx.doi.org/10.17504/protocols.io.bvjwn4pe). We searched PubMed, Cochrane Library, EMBASE, CINAHL and PsycInfo from their inception to May 2022. We included randomized controlled trials for follow-ups after ICU discharge and focused on psychological intervention for critically ill adult patients and their informal caregivers. We synthesized primary outcomes, including depression, post-traumatic stress disorder (PTSD), and adverse events using the random-effects method. We used the Grading of Recommendations Assessment, Development and Evaluation approach to rate the certainty of evidence. From the 10,471 records, we identified 13 studies (n = 3, 366) focusing on patients and four (n = 538) focusing on informal caregivers. ICU follow-up for patients resulted in little to no difference in the prevalence of depression (RR 0.89, 95% CI [0.59-1.34]; low-certainty evidence) and PTSD (RR 0.84, 95% CI [0.55-1.30]; low-certainty evidence) among patients; however, it increased the prevalence of depression (RR 1.58 95% CI [1.01-2.46]; very low-certainty evidence), PTSD (RR 1.36, 95% CI [0.91-2.03]; very low-certainty evidence) among informal caregivers. The evidence for the effect of ICU follow-up on adverse events among patients was insufficient. Eligible studies for informal caregivers did not define any adverse event. The effect of follow-ups after ICU discharge that focused on psychological intervention should be uncertain.

Quality improvement strategies for diabetes care: Effects on outcomes for adults living with diabetes

BACKGROUND

There is a large body of evidence evaluating quality improvement (QI) programmes to improve care for adults living with diabetes. These programmes are often comprised of multiple QI strategies, which may be implemented in various combinations. Decision-makers planning to implement or evaluate a new QI programme, or both, need reliable evidence on the relative effectiveness of different QI strategies (individually and in combination) for different patient populations.

OBJECTIVES

To update existing systematic reviews of diabetes QI programmes and apply novel meta-analytical techniques to estimate the effectiveness of QI strategies (individually and in combination) on diabetes quality of care.

SEARCH METHODS

We searched databases (CENTRAL, MEDLINE, Embase and CINAHL) and trials registers (ClinicalTrials.gov and WHO ICTRP) to 4 June 2019. We conducted a top-up search to 23 September 2021; we screened these search results and 42 studies meeting our eligibility criteria are available in the awaiting classification section.

SELECTION CRITERIA

We included randomised trials that assessed a QI programme to improve care in outpatient settings for people living with diabetes. QI programmes needed to evaluate at least one system- or provider-targeted QI strategy alone or in combination with a patient-targeted strategy. - System-targeted: case management (CM); team changes (TC); electronic patient registry (EPR); facilitated relay of clinical information (FR); continuous quality improvement (CQI). - Provider-targeted: audit and feedback (AF); clinician education (CE); clinician reminders (CR); financial incentives (FI). - Patient-targeted: patient education (PE); promotion of self-management (PSM); patient reminders (PR). Patient-targeted QI strategies needed to occur with a minimum of one provider or system-targeted strategy.

DATA COLLECTION AND ANALYSIS

We dual-screened search results and abstracted data on study design, study population and QI strategies. We assessed the impact of the programmes on 13 measures of diabetes care, including: glycaemic control (e.g. mean glycated haemoglobin (HbA1c)); cardiovascular risk factor management (e.g. mean systolic blood pressure (SBP), low-density lipoprotein cholesterol (LDL-C), proportion of people living with diabetes that quit smoking or receiving cardiovascular medications); and screening/prevention of microvascular complications (e.g. proportion of patients receiving retinopathy or foot screening); and harms (e.g. proportion of patients experiencing adverse hypoglycaemia or hyperglycaemia). We modelled the association of each QI strategy with outcomes using a series of hierarchical multivariable meta-regression models in a Bayesian framework. The previous version of this review identified that different strategies were more or less effective depending on baseline levels of outcomes. To explore this further, we extended the main additive model for continuous outcomes (HbA1c, SBP and LDL-C) to include an interaction term between each strategy and average baseline risk for each study (baseline thresholds were based on a data-driven approach; we used the median of all baseline values reported in the trials). Based on model diagnostics, the baseline interaction models for HbA1c, SBP and LDL-C performed better than the main model and are therefore presented as the primary analyses for these outcomes. Based on the model results, we qualitatively ordered each QI strategy within three tiers (Top, Middle, Bottom) based on its magnitude of effect relative to the other QI strategies, where 'Top' indicates that the QI strategy was likely one of the most effective strategies for that specific outcome. Secondary analyses explored the sensitivity of results to choices in model specification and priors.  Additional information about the methods and results of the review are available as Appendices in an online repository. This review will be maintained as a living systematic review; we will update our syntheses as more data become available.

MAIN RESULTS

We identified 553 trials (428 patient-randomised and 125 cluster-randomised trials), including a total of 412,161 participants. Of the included studies, 66% involved people living with type 2 diabetes only. Participants were 50% female and the median age of participants was 58.4 years. The mean duration of follow-up was 12.5 months. HbA1c was the commonest reported outcome; screening outcomes and outcomes related to cardiovascular medications, smoking and harms were reported infrequently. The most frequently evaluated QI strategies across all study arms were PE, PSM and CM, while the least frequently evaluated QI strategies included AF, FI and CQI. Our confidence in the evidence is limited due to a lack of information on how studies were conducted.  Four QI strategies (CM, TC, PE, PSM) were consistently identified as 'Top' across the majority of outcomes. All QI strategies were ranked as 'Top' for at least one key outcome. The majority of effects of individual QI strategies were modest, but when used in combination could result in meaningful population-level improvements across the majority of outcomes. The median number of QI strategies in multicomponent QI programmes was three.  Combinations of the three most effective QI strategies were estimated to lead to the below effects:  - PR + PSM + CE: decrease in HbA1c by 0.41% (credibility interval (CrI) -0.61 to -0.22) when baseline HbA1c < 8.3%; - CM + PE + EPR: decrease in HbA1c by 0.62% (CrI -0.84 to -0.39) when baseline HbA1c > 8.3%;  - PE + TC + PSM: reduction in SBP by 2.14 mmHg (CrI -3.80 to -0.52) when baseline SBP < 136 mmHg; - CM + TC + PSM: reduction in SBP by 4.39 mmHg (CrI -6.20 to -2.56) when baseline SBP > 136 mmHg;  - TC + PE + CM: LDL-C lowering of 5.73 mg/dL (CrI -7.93 to -3.61) when baseline LDL < 107 mg/dL; - TC + CM + CR: LDL-C lowering by 5.52 mg/dL (CrI -9.24 to -1.89) when baseline LDL > 107 mg/dL. Assuming a baseline screening rate of 50%, the three most effective QI strategies were estimated to lead to an absolute improvement of 33% in retinopathy screening (PE + PR + TC) and 38% absolute increase in foot screening (PE + TC + Other).

AUTHORS' CONCLUSIONS

There is a significant body of evidence about QI programmes to improve the management of diabetes. Multicomponent QI programmes for diabetes care (comprised of effective QI strategies) may achieve meaningful population-level improvements across the majority of outcomes. For health system decision-makers, the evidence summarised in this review can be used to identify strategies to include in QI programmes. For researchers, this synthesis identifies higher-priority QI strategies to examine in further research regarding how to optimise their evaluation and effects. We will maintain this as a living systematic review.

EMPOWERMENT OF CHINESE BOXING PRACTITIONERS UNDER EARLY TRAINING

ABSTRACT Introduction: Early special training has been widely used to improve athletic performance in young Chinese boxing athletes. For athletes to make better use of training time and accumulate maximum special competitive skills, intensive training is required from their youth. Objective: Study the competitive ability of Chinese boxing athletes under strengthening through early physical training. Methods: Through literature method, experimental methods, and mathematical statistical analysis, the athletes’ body composition and their performance in specific and functional physical activities were analyzed. results: Young athletes significantly differed in BMI, height, and limb length (P<0.05). There was no significant difference in height, the distance between fingers, Achilles tendon length (P>0.05). No significant difference was found in flexibility and sensitivity among volunteers (P>0.05). Conclusion: The athletes participating in early training are uniformly matched, the level of tactical ability of the athletes under training has a differential that can directly impact future sports performance, and this practice is recommended to improve the athletes’ sports performance. Level of evidence II; Therapeutic studies - investigation of treatment outcomes.