Conectar
There are global concerns about the rise in opioid prescribing. Patients undergoing potentially curative surgery for colorectal cancer (CRC) are at high risk of adverse outcomes from opioid-related complications, including delayed discharge and adjuvant chemotherapy, long-term opioid use and reduced cancer-free survival. We aimed to develop a set of actionable quality indicators for opioid stewardship for patients undergoing CRC surgery, and an implementation toolkit to support professional behaviour change to improve appropriateness of perioperative opioid prescribing.
A five-round modified RAND consensus process was conducted in 2021–2024.
14 secondary care trusts across the UK Yorkshire and Humber region.
Consultant anaesthetists and national perioperative opioid stewardship experts (expert panel) and patient and public panel.
Potential indicators were identified from a literature review, guideline search and expert panel. All potential indicators were rated on relevance and actionability (online survey, expert panel) and importance to patient care (online meeting, patient panel). A hybrid consensus meeting involving a patient representative and the expert panel discussed and rerated the indicators. An online expert survey identified potential barriers to implementation. An actionable toolkit was developed using implementation strategies and supporting resources developed where appropriate.
73 potential indicators were identified. All indicators remained in the process through the online survey and patient panel. After the final meeting, four indicators remained: (1) hospital trust presence of an opioid stewardship protocol; (2) inpatient functional post-operative pain assessments; (3) patient education and discharge leaflet; and (4) senior clinician review of ‘strong’ opioids on discharge (British National Formulary definition). The number of barriers identified ranged from 8 to 22 per indicator. 49 different implementation strategies were identified for the toolkit (range 32–45 per indicator).
We identified four actionable quality indicators and developed an implementation toolkit that represents consensus in defining quality of care in opioid stewardship for CRC surgery.
Public involvement in mental health research enhances research quality. The use of citizen science methods in mental health research has been described as a conclusion of a movement towards increased public involvement; however, this field is in its early stages of development. Our objective was to create a theory of change (ToC) for how citizen science can be used to enhance mental health research quality.
Iterative consultation with the stakeholders of an existing citizen mental health science study, that is, change for citizen science to achieve co-production at scale (C-STACS: https://www.researchintorecovery.com/research/c-stacs/)
We co-developed a ToC through an iterative consultation with C-STACS stakeholders who were (a) representatives of mental health community organisations (n=10), individuals with public involvement experience (n=2) and researchers (n=5). In keeping with established ToC practice, entities were identified, including long-term impacts, outcomes needed to create an impact, stakeholder assumptions and indicators for tracking progress.
A desired primary long-term impact of greater co-production of research was identified between researchers and members of the public, which would create a secondary impact of enhancing public capacity to engage in citizen mental health science. We proposed long-term outcomes needed to enable this impact: (1) greater co-production of research objectives and pathways between researcher and the public, (2) greater embedment of citizen mental health science into funder processes (eg, the creation of specific funding calls for citizen mental health science proposals, (3) greater clarity on the boundaries between citizen science and other participatory approaches (eg, so that there is not loss of impact due to conceptual confusion between these, (4) increased knowledge around effective frameworks to enable mass public participation and (5) greater availability of technology platforms, enabling safe and accessible engagement with citizen mental health science projects.
The proposed ToC is grounded in the C-STACS project, but intended to be broadly applicable. It allows the continued formation of a community of practice around citizen mental health science and should be reviewed, as greater knowledge is developed on how citizen mental health science creates change.
The harmful health effects of children’s exposure to secondhand smoke (SHS) are well established. Most SHS exposure now occurs in the home, in low-income households. Previous research suggests that using nicotine replacement therapy (NRT) in the home can help with temporary smoking abstinence and could reduce smoking indoors. This pilot randomised controlled trial tests the feasibility of providing parents, carers and relatives with posted-to-home nicotine replacement therapy alongside fortnightly telephone support to reduce children’s exposure to SHS.
100 participants are being recruited through existing National Health Service (NHS) Lanarkshire initiatives and social media. Parents/carers who are at least 18 years old, smoke in the home and care for one or more children aged 0–16 years are eligible to take part. Participants are randomised to either the intervention (Group A) or control (Group B) arm. Group A receives NRT posted to their home for 12 weeks free of charge, alongside fortnightly telephone calls and materials to support them in reducing children’s exposure to SHS. Group B is signposted to the Scottish Government’s ‘Take it Right Outside’ website which provides interactive advice on creating a smoke-free home. To quantify the child’s exposure to SHS, participants instal an air quality monitor to measure fine particulate matter (PM2.5) concentrations in their living room for 7 days at baseline and 12-week follow-up and/or collect and post saliva samples from their youngest child (age 5 or over) for cotinine analysis. Qualitative interviews explore intervention experience, NRT use and adherence and changes to home-smoking behaviours/smoking-related expenditure. Descriptive data analyses will be performed to address the feasibility of recruitment, randomisation, retention and adherence, data collection and intervention delivery. Analysis will also include pre/post changes (paired t-test) in both child’s salivary cotinine and PM2.5 levels to provide preliminary data on intervention effectiveness and difference between the intervention and control arms of the study. Health economics and resource use data will be collected and assessed for completeness, to test the process of data collection and estimate mean cost of both study arms.
NHS ethical approval has been obtained by the West of Scotland Research Ethics Service (15 December 2023, ref 23/WS/0153; 13 December 2024, ref AM01). The findings will be disseminated to participants, funders, NHS Lanarkshire and other health services, and in peer-reviewed journals and academic conferences. Findings will inform new approaches that are timely and important, providing valuable evidence to help reduce children’s exposure to SHS in the home in Scotland and elsewhere.
To integrate the quantitative and qualitative data collected as part of the PEACH (Procalcitonin: Evaluation of Antibiotic use in COVID-19 Hospitalised patients) study, which evaluated whether procalcitonin (PCT) testing should be used to guide antibiotic prescribing and safely reduce antibiotic use among patients admitted to acute UK National Health Service (NHS) hospitals.
Triangulation to integrate quantitative and qualitative data.
Four data sources in 148 NHS hospitals in England and Wales including data from 6089 patients.
A triangulation protocol was used to integrate three quantitative data sources (survey, organisation-level data and patient-level data: data sources 1, 2 and 3) and one qualitative data source (clinician interviews: data source 4) collected as part of the PEACH study. Analysis of data sources initially took place independently, and then, key findings for each data source were added to a matrix. A series of interactive discussion meetings took place with quantitative, qualitative and clinical researchers, together with patient and public involvement (PPI) representatives, to group the key findings and produce seven statements relating to the study objectives. Each statement and the key findings related to that statement were considered alongside an assessment of whether there was agreement, partial agreement, dissonance or silence across all four data sources (convergence coding). The matrix was then interpreted to produce a narrative for each statement.
To explore whether PCT testing safely reduced antibiotic use during the first wave of the COVID-19 pandemic.
Seven statements were produced relating to the PEACH study objective. There was agreement across all four data sources for our first key statement, ‘During the first wave of the pandemic (01/02/2020-30/06/2020), PCT testing reduced antibiotic prescribing’. The second statement was related to this key statement, ‘During the first wave of the pandemic (01/02/2020-30/06/2020), PCT testing safely reduced antibiotic prescribing’. Partial agreement was found between data sources 3 (quantitative patient-level data) and 4 (qualitative clinician interviews). There were no data regarding safety from data sources 1 or 2 (quantitative survey and organisational-level data) to contribute to this statement. For statements three and four, ‘PCT was not used as a central factor influencing antibiotic prescribing’, and ‘PCT testing reduced antibiotic prescribing in the emergency department (ED)/acute medical unit (AMU),’ there was agreement between data source 2 (organisational-level data) and data source 4 (interviews with clinicians). The remaining two data sources (survey and patient-level data) contributed no data on this statement. For statement five, ‘PCT testing reduced antibiotic prescribing in the intensive care unit (ICU)’, there was disagreement between data sources 2 and 3 (organisational-level data and patient-level data) and data source 4 (clinician interviews). Data source 1 (survey) did not provide data on this statement. We therefore assigned dissonance to this statement. For statement six, ‘There were many barriers to implementing PCT testing during the first wave of COVID-19’, there was partial agreement between data source 1 (survey) and data source 4 (clinician interviews) and no data provided by the two remaining data sources (organisational-level data and patient-level data). For statement seven, ‘Local PCT guidelines/protocols were perceived to be valuable’, only data source 4 (clinician interviews) provided data. The clinicians expressed that guidelines were valuable, but as there was no data from the other three data sources, we assigned silence to this statement.
There was agreement between all four data sources on our key finding ‘during the first wave of the pandemic (01/02/2020-30/06/2020), PCT testing reduced antibiotic prescribing’. Data, methodological and investigator triangulation, and a transparent triangulation protocol give validity to this finding.
Fatigue is a common and debilitating symptom that is associated with an increased risk of mortality, dialysis initiation and hospitalisation among patients with chronic kidney disease (CKD). The aim of this study was to identify the characteristics, content and psychometric properties of patient-reported outcome measures (PROMs) used to measure fatigue in patients with CKD not requiring kidney replacement therapy (KRT).
Systematic review. The characteristics, dimensions of fatigue and psychometric properties of these measures were extracted and analysed.
We searched MEDLINE, Embase, PsycINFO and CINAHL from database inception to February 2023.
All studies that reported fatigue in patients with CKD stages 1–5 not receiving KRT.
We identified 97 studies (20 (21%) randomised trials, 2 (2%) non-randomised trials and 75 (77%) observational studies). 27 different measures were used to assess fatigue, of which three were author-developed measures. The 36-Item Short Form Health Survey (SF-36) and Kidney Disease Quality of Life – Short Form (KDQOL-SF) were the most frequently used measures (41 (42%) and 24 (25%) studies, respectively). Six (22%) measures were specific to fatigue (Chalder Fatigue Questionnaire, Functional Assessment of Chronic Illness Therapy – Fatigue Scale, Functional Assessment of Cancer Therapy-Fatigue, Fatigue Severity Scale, and author developed Chen & Ku 1998, and Hao et al 2021) while 21 (78%) included a fatigue subscale or item within a broader construct for example, quality of life. Various content domains assessed included tiredness, ability to think clearly, level of energy, muscle weakness, ability to concentrate, verbal abilities, motivation, memory, negative emotions and life participation. Only two measures (Chronic Kidney Disease Symptom Index – Sri Lanka, Kidney Symptom Questionnaire) were developed specifically for CKD, but they were not specific to fatigue. Six measures (Chronic Kidney Disease Symptom Index – Sri Lanka, Functional Assessment of Cancer Therapy – Anemia, Revised Illness Perception Questionnaire, Kidney Symptom Questionnaire, Short Form 6 Dimension and 36-Item Short Form Health Survey) had been validated in patients with CKD not requiring KRT.
PROMs used to assess fatigue in patients with CKD vary in content and few were specific to fatigue in patients with CKD not requiring KRT. Data to support the psychometric robustness of PROMs for fatigue in CKD were sparse. A validated and content-relevant measure to assess fatigue in patients with CKD is needed.
FreshRSS 