The “Child Health Evidence Week” and GRADE grid may aid transparency in the deliberative process of guideline development

AbstractObjectiveTo explore the evidence translation process during a 1-week national guideline development workshop (“Child Health Evidence Week”) in Kenya.Study Design and SettingNonparticipant observational study of the discussions of a multidisciplinary guideline development panel in Kenya. Discussions were aided by GRADE (Grading of Recommendations Assessment, Development, and Evaluation) grid.ResultsThree key thematic categories emerged: 1) “referral to other evidence to support or refute the proposed recommendations;” 2) “assessment of the presented research evidence;” and 3) “assessment of the local applicability of evidence.” The types of evidence cited included research evidence and anecdotal evidence based on clinician experiences. Assessment of the research evidence revealed important challenges in the translation of evidence into recommendations, including absence of evidence, low quality or inconclusive evidence, inadequate reporting of key features of the management under consideration, and differences in panelists’ interpretation of the research literature. A broad range of factors with potential to affect local applicability of evidence were discussed.ConclusionThe process of the “Child Health Evidence Week” combined with the GRADE grid may aid transparency in the deliberative process of guideline development, and provide a mechanism for comprehensive assessment, documentation, and reporting of multiple factors that influence the quality and applicability of guideline recommendations

Prevalence and outcomes of frailty in unplanned hospital admissions: a systematic review and meta-analysis of hospital-wide and general (internal) medicine cohorts

Background: Guidelines recommend routine frailty screening for all hospitalised older adults to inform care decisions, based mainly on studies in elective or speciality-specific settings. However, most hospital bed days are accounted for by acute non-elective admissions, in which the prevalence and prognostic value of frailty might differ, and uptake of screening is limited. We therefore did a systematic review and meta-analysis of frailty prevalence and outcomes in unplanned hospital admissions. Methods: We searched MEDLINE, EMBASE and CINAHL up to 31/01/2023 and included observational studies using validated frailty measures in adult hospital-wide or general medicine admissions. Summary data on the prevalence of frailty and associated outcomes, measurement tools, study setting (hospital-wide vs general medicine), and design (prospective vs retrospective) were extracted and risk of bias assessed (modified Joanna Briggs Institute checklists). Unadjusted relative risks (RR; moderate/severe frailty vs no/mild) for mortality (within one year), length of stay (LOS), discharge destination and readmission were calculated and pooled, where appropriate, using random-effects models. PROSPERO CRD42021235663. Findings: Among 45 cohorts (median/SD age = 80/5 years; n = 39,041,266 admissions, n = 22 measurement tools) moderate/severe frailty ranged from 14.3% to 79.6% overall (and in the 26 cohorts with low-moderate risk of bias) with considerable heterogeneity between studies (phet 8 days (RR range = 2.14–3.04; n = 6) and discharge to a location other than home (RR range = 1.97–2.82; n = 4) but was inconsistently related to 30-day readmission (RR range = 0.83–1.94; n = 12). Associations remained clinically significant after adjustment for age, sex and comorbidity where reported. Interpretation: Frailty is common in older patients with acute, non-elective hospital admission and remains predictive of mortality, LOS and discharge home with more severe frailty associated with greater risk, justifying more widespread implementation of screening using clinically administered tools

The work of older people and their informal caregivers in managing an acute health event in a hospital at home or hospital inpatient setting.

BACKGROUND: There is limited understanding of the contribution made by older people and their caregivers to acute healthcare in the home and how this compares to hospital inpatient healthcare. OBJECTIVES: To explore the work of older people and caregivers at the time of an acute health event, the interface with professionals in a hospital and hospital at home (HAH) and how their experiences relate to the principles underpinning comprehensive geriatric assessment (CGA). DESIGN: A qualitative interview study within a UK multi-site participant randomised trial of geriatrician-led admission avoidance HAH, compared with hospital inpatient care. METHODS: We conducted semi-structured interviews with 34 older people (15 had received HAH and 19 hospital care) alone or alongside caregivers (29 caregivers; 12 HAH, 17 hospital care), in three sites that recruited participants to a randomised trial, during 2017-2018. We used normalisation process theory to guide our analysis and interpretation of the data. RESULTS: Patients and caregivers described efforts to understand changes in health, interpret assessments and mitigate a lack of involvement in decisions. Practical work included managing risks, mobilising resources to meet health-related needs, and integrating the acute episode into longer-term strategies. Personal, relational and environmental factors facilitated or challenged adaptive capacity and ability to manage. CONCLUSIONS: Patients and caregivers contributed to acute healthcare in both locations, often in parallel to healthcare providers. Our findings highlight an opportunity for CGA-guided services at the interface of acute and chronic condition management to facilitate personal, social and service strategies extending beyond an acute episode of healthcare

Treat-to-target in PsA: methods and necessity

© Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. With increasing recognition of the high burden and impact of psoriatic arthritis (PsA) and the growing number of therapeutic options, there has been an intensifying focus on treatment strategy in recent years. In 2015, the Tight Control of Psoriatic Arthritis study confirmed the clinical benefit of using a treat-to-target approach in PsA. This randomised controlled trial found benefits in both arthritis and psoriasis disease activity as well as lower disease impact reported by patients, although participants allocated to tight control experienced a higher rate of serious adverse events. European and international recommendations support the use of a treat-to-target approach in PsA and have offered specific advice on how to do this using outcomes such as the minimal disease activity criteria. However, implementation of this approach in routine practice is low, with real-world data highlighting undertreatment as a result. Recent qualitative work with physicians in the UK has helped researchers to understand the barriers to implementation of treat-to-target in PsA. We now need to address these barriers, provide education and support to non-specialist clinicians in routine practice, and aid the translation of optimal care to the clinic

Estimating the need for inpatient neonatal services: an iterative approach employing evidence and expert consensus to guide local policy in Kenya.

Universal access to quality newborn health services will be essential to meeting specific Sustainable Development Goals to reduce neonatal and overall child mortality. Data for decision making are crucial for planning services and monitoring progress in these endeavours. However, gaps in local population-level and facility-based data hinder estimation of health service requirements for effective planning in many low-income and middle-income settings. We worked with local policy makers and experts in Nairobi City County, an area with a population of four million and the highest neonatal mortality rate amongst counties in Kenya, to address this gap, and developed a systematic approach to use available data to support policy and planning. We developed a framework to identify major neonatal conditions likely to require inpatient neonatal care and identified estimates of incidence through literature review and expert consultation, to give an overall estimate for the year 2017 of the need for inpatient neonatal care, taking account of potential comorbidities. Our estimates suggest that almost 1 in 5 newborns (183/1000 live births) in Nairobi City County may need inpatient care, resulting in an estimated 24 161 newborns expected to require care in 2017. Our approach has been well received by local experts, who showed a willingness to work together and engage in the use of evidence in healthcare planning. The process highlighted the need for co-ordinated thinking on admission policy and referral care especially in a pluralistic provider environment helping build further appetite for data-informed decision making

Mixed methods study of clinicians' perspectives on barriers to implementation of treat to target in psoriatic arthritis

Objectives: In treat to target (T2T), the patient is treated to reach and maintain specified and sequentially measured goals, such as remission or low disease activity. T2T in psoriatic arthritis (PsA) has demonstrated improved clinical and patient-reported outcomes and is recommended in European guidelines. However, most clinicians do not use T2T in PsA. This study examined the barriers and enablers to implementation in practice. Methods: Sequential mixed methods comprising a qualitative design (interviews and focus group) to inform a quantitative design (survey). Qualitative data were analysed thematically, and quantitative statistics were analysed descriptively. Results: Nineteen rheumatology clinicians participated in telephone interviews or a face-to-face focus group. An overarching theme 'Complexity' (including 'PsA vs Rheumatoid Arthritis', 'Measurement' and 'Resources') and an underpinning theme 'Changes to current practice' (including 'Reluctance due to organisational factors' and 'Individual determination to make changes') were identified. 153 rheumatology clinicians responded to an online survey. Barriers included limited clinical appointment time to collect outcome data (54.5%) and lack of training in assessing skin disease (35%). Enablers included provision of a protocol (86.4%), a local implementation lead (80.9%), support in clinic to measure outcomes (83.3%) and training in T2T (69.8%). The importance of regular audit with feedback, specialist PsA clinics and a web-based electronic database linked to hospital/national information technology (IT) systems were also identified as enablers. Conclusions: Implementation of T2T in PsA requires an integrated approach to address the support, training and resource needs of individual clinicians, rheumatology teams, local IT systems and service providers to maximise success

Admission avoidance hospital at home: Intervention Review

Background Admission avoidance hospital at home provides active treatment by healthcare professionals in the patient's home for a condition that would otherwise require acute hospital inpatient care, and always for a limited time period. This is the fourth update of this review. Objectives To determine the effectiveness and cost of managing patients with admission avoidance hospital at home compared with inpatient hospital care. Search methods We searched the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, Embase, and CINAHL on 24 February 2022, and checked the reference lists of eligible articles. We sought ongoing and unpublished studies by searching ClinicalTrials.gov and WHO ICTRP, and by contacting providers and researchers involved in the field. Selection criteria Randomised controlled trials recruiting participants aged 18 years and over. Studies comparing admission avoidance hospital at home with acute hospital inpatient care. Data collection and analysis We followed the standard methodological procedures expected by Cochrane and the Effective Practice and Organisation of Care (EPOC) Group. We performed meta‐analysis for trials that compared similar interventions, reported comparable outcomes with sufficient data, and used individual patient data when available. We used the GRADE approach to assess the certainty of the body of evidence for the most important outcomes. Main results We included 20 randomised controlled trials with a total of 3100 participants; four trials recruited participants with chronic obstructive pulmonary disease; two trials recruited participants recovering from a stroke; seven trials recruited participants with an acute medical condition who were mainly older; and the remaining trials recruited participants with a mix of conditions. We assessed the majority of the included studies as at low risk of selection, detection, and attrition bias, and unclear for selective reporting and performance bias. For an older population, admission avoidance hospital at home probably makes little or no difference on mortality at six months' follow‐up (risk ratio (RR) 0.88, 95% confidence interval (CI) 0.68 to 1.13; P = 0.30; I2 = 0%; 5 trials, 1502 participants; moderate‐certainty evidence); little or no difference on the likelihood of being readmitted to hospital after discharge from hospital at home or inpatient care within 3 to 12 months' follow‐up (RR 1.14, 95% CI 0.97 to 1.34; P = 0.11; I2 = 41%; 8 trials, 1757 participants; moderate‐certainty evidence); and probably reduces the likelihood of living in residential care at six months' follow‐up (RR 0.53, 95% CI 0.41 to 0.69; P < 0.001; I2 = 67%; 4 trials, 1271 participants; moderate‐certainty evidence). Hospital at home probably results in little to no difference in patient's self‐reported health status (2006 patients; moderate‐certainty evidence). Satisfaction with health care received may be improved with admission avoidance hospital at home (1812 participants; low‐certainty evidence); few studies reported the effect on caregivers. Hospital at home reduced the initial average hospital length of stay (2036 participants; low‐certainty evidence), which ranged from 4.1 to 18.5 days in the hospital group and 1.2 to 5.1 days in the hospital at home group. Hospital at home length of stay ranged from an average of 3 to 20.7 days (hospital at home group only). Admission avoidance hospital at home probably reduces costs to the health service compared with hospital admission (2148 participants; moderate‐certainty evidence), though by a range of different amounts and using different methods to cost resource use, and there is some evidence that it decreases overall societal costs to six months' follow‐up. Authors' conclusions Admission avoidance hospital at home, with the option of transfer to hospital, may provide an effective alternative to inpatient care for a select group of older people who have been referred for hospital admission. The intervention probably makes little or no difference to patient health outcomes; may improve satisfaction; probably reduces the likelihood of relocating to residential care; and probably decreases costs

Should I stay or should I go? A retrospective propensity score-matched analysis using administrative data of hospital-at-home for older people in Scotland.

OBJECTIVES: To compare the characteristics of populations admitted to hospital-at-home services with the population admitted to hospital and assess the association of these services with healthcare costs and mortality. DESIGN: In a retrospective observational cohort study of linked patient level data, we used propensity score matching in combination with regression analysis. PARTICIPANTS: Patients aged 65 years and older admitted to hospital-at-home or hospital. INTERVENTIONS: Three geriatrician-led admission avoidance hospital-at-home services in Scotland. OUTCOME MEASURES: Healthcare costs and mortality. RESULTS: Patients in hospital-at-home were older and more socioeconomically disadvantaged, had higher rates of previous hospitalisation and there was a greater proportion of women and people with several chronic conditions compared with the population admitted to hospital. The cost of providing hospital-at-home varied between the three sites from £628 to £2928 per admission. Hospital-at-home was associated with 18% lower costs during the follow-up period in site 1 (ratio of means 0.82; 95% CI: 0.76 to 0.89). Limiting the analysis to costs during the 6 months following index discharge, patients in the hospital-at-home cohorts had 27% higher costs (ratio of means 1.27; 95% CI: 1.14 to 1.41) in site 1, 9% (ratio of means 1.09; 95% CI: 0.95 to 1.24) in site 2 and 70% in site 3 (ratio of means 1.70; 95% CI: 1.40 to 2.07) compared with patients in the control cohorts. Admission to hospital-at-home was associated with an increased risk of death during the follow-up period in all three sites (1.09, 95% CI: 1.00 to 1.19 site 1; 1.29, 95% CI: 1.15 to 1.44 site 2; 1.27, 95% CI: 1.06 to 1.54 site 3). CONCLUSIONS: Our findings indicate that in these three cohorts, the populations admitted to hospital-at-home and hospital differ. We cannot rule out the risk of residual confounding, as our analysis relied on an administrative data set and we lacked data on disease severity and type of hospitalised care received in the control cohorts

Protocol for the development and analysis of the Oxford and Reading Cognitive Comorbidity, Frailty and Ageing Research Database - Electronic Patient Records (ORCHARD-EPR)

Background Hospital electronic patient records (EPRs) offer the opportunity to exploit large-scale routinely acquired data at relatively low cost and without selection. EPRs provide considerably richer data, and in real-time, than retrospective administrative data sets in which clinical complexity is often poorly captured. With population ageing, a wide range of hospital specialties now manage older people with multimorbidity, frailty and associated poor outcomes. We, therefore, set-up the Oxford and Reading Cognitive Comorbidity, Frailty and Ageing Research Database-Electronic Patient Records (ORCHARD-EPR) to facilitate clinically meaningful research in older hospital patients, including algorithm development, and to aid medical decision-making, implementation of guidelines, and inform policy. Methods and analysis ORCHARD-EPR uses routinely acquired individual patient data on all patients aged ≥65 years with unplanned admission or Same Day Emergency Care unit attendance at four acute general hospitals serving a population of >800 000 (Oxfordshire, UK) with planned extension to the neighbouring Berkshire regional hospitals (>1 000 000). Data fields include diagnosis, comorbidities, nursing risk assessments, frailty, observations, illness acuity, laboratory tests and brain scan images. Importantly, ORCHARD-EPR contains the results from mandatory hospital-wide cognitive screening (≥70 years) comprising the 10-point Abbreviated-Mental-Test and dementia and delirium diagnosis (Confusion Assessment Method—CAM). Outcomes include length of stay, delayed transfers of care, discharge destination, readmissions and death. The rich multimodal data are further enhanced by linkage to secondary care electronic mental health records. Selection of appropriate subgroups or linkage to existing cohorts allows disease-specific studies. Over 200 000 patient episodes are included to date with data collection ongoing of which 129 248 are admissions with a length of stay ≥1 day in 64 641 unique patients. Ethics and dissemination ORCHARD-EPR is approved by the South Central Oxford C Research Ethics Committee (ref: 23/SC/0258). Results will be widely disseminated through peer-reviewed publications and presentations at conferences, and regional meetings to improve hospital data quality and clinical services

Synthesis without meta-analysis (SWiM) in systematic reviews : reporting guideline

In systematic reviews that lack data amenable to meta-analysis, alternative synthesis methods are commonly used, but these methods are rarely reported. This lack of transparency in the methods can cast doubt on the validity of the review findings. The Synthesis Without Meta-analysis (SWiM) guideline has been developed to guide clear reporting in reviews of interventions in which alternative synthesis methods to meta-analysis of effect estimates are used. This article describes the development of the SWiM guideline for the synthesis of quantitative data of intervention effects and presents the nine SWiM reporting items with accompanying explanations and examples