To assess the effect of the COVID-19 pandemic on people experiencing incarceration (PEI), focusing particularly on clinical outcomes compared with the general population.
Systematic review with narrative synthesis in accordance with the Centre for Reviews and Dissemination’s good practice guidelines.
Medline, Social Policy and Practice, Criminology Connection, ASSIA, EMBASE, SCOPUS, Web Of Science, CINAHL, Cochrane Library, Cochrane COVID-19 reviews, COVID-19 Evidence Reviews and L*OVE COVID-19 Evidence databases were searched up to 21 October 2022.
We included studies presenting data specific to adults ≥18 years experiencing incarceration, with exposure to SARS-CoV-2 infection. All studies with a comparison group, regardless of study design and country were included. Studies with no comparison group data or not measuring clinical outcomes/health inequalities were excluded. Studies focussing on detained migrants, forensic hospitals, prison staff and those not in English were also excluded.
Two reviewers extracted data and assessed risk of bias. Data underwent narrative synthesis using a framework analysis based on the objectives, for infection rates, testing, hospitalisation, mortality, vaccine uptake rates and mental health outcomes. There was no scope for meta-analysis, due to the heterogeneity of evidence available.
4516 references were exported from the databases and grey literature searched, of which 55 met the inclusion criteria. Most were from the USA and were retrospective analyses. Compared with the general population, PEI were usually found to have higher rates of SARS-CoV-2 infection and poorer clinical outcomes. Conflicting data were found regarding vaccine uptake and testing rates compared with the general population. The mental health of PEI declined during the pandemic. Certain subgroups were more adversely affected by the COVID-19 pandemic, such as ethnic minorities and older PEI.
PEI have poorer COVID-19 clinical outcomes than the general public, as shown by largely low-quality heterogenous evidence. Further high-quality research of continuing clinical outcomes and appropriate mitigating interventions is required to assess downstream effects of the pandemic on PEI. However, performing such research in the context of incarceration facilities is highly complex and potentially challenging. Prioritisation of resources for this vulnerable group should be a focus of national policy in the event of future pandemics.
CRD42022296968.
To explore how healthcare practitioners (HCPs) made decisions about the implementation of digital health technologies (DHTs) in their clinical practice before and during the COVID-19 pandemic.
A multimethods study, comprising semistructured interviews conducted prior to the COVID-19 pandemic, supplemented with an online survey that was conducted during the pandemic with a different sample, to ensure the qualitative findings remained relevant within the rapidly changing healthcare context. Participants were recruited through HCP networks, snowballing and social media. Data were analysed thematically.
Phone interviews and online survey.
HCPs represented a range of professions from primary and secondary care across England, with varied socioeconomic deprivation.
24 HCPs were interviewed, and 16 HCPs responded to the survey. In the interviews, HCPs described three levels where decisions were made, which determined who would have access to what DHTs: health organisation, HCP and patient levels. These decisions resulted in the unequal implementation of DHTs across health services, created barriers for HCPs using DHTs in their practice and influenced HCPs’ decisions on which patients to supply DHTs with. In the survey, HCPs described being provided support to overcome some of the barriers at the organisation and HCP level during the pandemic. However, they cited similar concerns to pre-pandemic about barriers patients faced using DHTs (eg, digital literacy). In the absence of centralised guidance on how to manage these barriers, health services made their own decisions about how to adapt their services for those who struggled with DHTs.
Decision-making at the health organisation, HCP and patient levels influences inequalities in access to DHTs for HCPs and patients. The mobilisation of centralised information and resources during the pandemic can be viewed as good practice for reducing barriers to use of DHTs for HCPs. However, attention must also be paid to reducing barriers to accessing DHTs for patients.
The study aimed to conduct a follow-up of all broad-based training (BBT) trainees who participated in the original evaluation completed in 2017. The follow-up study explored the impact of BBT on career decisions, sustained benefits and unintended disadvantages of the programme, and views on the future of training.
Scoping interviews informed the design of an online survey. The interview transcripts were analysed thematically. The survey was piloted with six volunteers and sent out to all former BBT trainees. Data from the survey were transferred to Excel and SPSS for analysis. The open-text comments on the survey were subject to a thematic content analysis.
Participants were working in general practice, paediatrics, psychiatry or medicine.
Eight former BBT trainees participated in the scoping interviews. Interview participants were selected to ensure a diversity of current specialties and to represent all three BBT cohorts. All former BBT trainees were invited to complete the survey (n=118) and 70 replied.
The benefits of BBT were sustained over time: participants were confident in their career decisions, took a holistic approach to care and capitalised on their experiences in other specialties in their current roles. A minority of trainees also experienced temporary challenges when they joined a specialty training programme after completing the BBT. Whatever their specialty, experience in core medicine, paediatrics, psychiatry and general practice was valued. Disadvantages were short-lived (catching up on transition specialty training) or affected a minority (impact on sense of belonging).
The BBT programme supported the development of generalist doctors. Greater attention needs to be given to training secondary care doctors who take a holistic view of the patient and navigate their specialist care.
Like many countries, England has a national shortage of registered nurses. Employers strive to retain existing staff, to ease supply pressures. Disproportionate numbers of nurses leave the National Health Services (NHS) both early in their careers, and later, as they near retirement age. Research is needed to understand the job preferences of early-career and late-career nurses working in the NHS, so tailored policies can be developed to better retain these two groups.
We will collect job preference data for early-career and late-career NHS nurses, respectively using two separate discrete choice experiments (DCEs). Findings from the literature, focus groups, academic experts and stakeholder discussions will be used to identify and select the DCE attributes (ie, job features) and levels. We will generate an orthogonal, fractional factorial design using the experimental software Ngene. The DCEs will be administered through online surveys distributed by the regulator Nursing and Midwifery Council. For each group, we expect to achieve a final sample of 2500 registered NHS nurses working in England. For early-career nurses, eligible participants will be registered nurses who graduated in the preceding 5 years (ie, 2019–2023). Eligible participants for the late-career survey will be registered nurses aged 55 years and above. We will use conditional and mixed logit models to analyse the data. Specifically, study 1 will estimate the job preferences of early-career nurses and the possible trade-offs. Study 2 will estimate the retirement preferences of late-career NHS nurses and the potential trade-offs.
The research protocol was reviewed and approved by the host research organisation Ethics Committees Research Governance (University of Southampton, number 80610) (https://www.southampton.ac.uk/about/governance/regulations-policies/policies/ethics). The results will be disseminated via conference presentations, publications in peer-reviewed journals and annual reports to key stakeholders, the Department of Health and Social Care, and NHS England/Improvement retention leaders.
Registration on OSF http://doi.org/10.17605/OSF.IO/RDN9G.
by Jacinda M. Nicklas, Laura Pyle, Andrey Soares, Jennifer A. Leiferman, Sheana S. Bull, Suhong Tong, Ann E. Caldwell, Nanette Santoro, Linda A. Barbour
BackgroundPostpartum women with overweight/obesity and a history of adverse pregnancy outcomes are at elevated risk for cardiometabolic disease. Postpartum weight loss and lifestyle changes can decrease these risks, yet traditional face-to-face interventions often fail. We adapted the Diabetes Prevention Program into a theory-based mobile health (mHealth) program called Fit After Baby (FAB) and tested FAB in a randomized controlled trial.
MethodsThe FAB program provided 12 weeks of daily evidence-based content, facilitated tracking of weight, diet, and activity, and included weekly coaching and gamification with points and rewards. We randomized women at 6 weeks postpartum 2:1 to FAB or to the publicly available Text4baby (T4B) app (active control). We measured weight and administered behavioral questionnaires at 6 weeks, and 6 and 12 months postpartum, and collected app user data.
Results81 eligible women participated (77% White, 2% Asian, 15% Black, with 23% Hispanic), mean baseline BMI 32±5 kg/m2 and age 31±5 years. FAB participants logged into the app a median of 51/84 (IQR 25,71) days, wore activity trackers 66/84 (IQR 43,84) days, logged weight 17 times (IQR 11,24), and did coach check-ins 5.5/12 (IQR 4,9) weeks. The COVID-19 pandemic interrupted data collection for the primary 12-month endpoint, and impacted diet, physical activity, and body weight for many participants. At 12 months postpartum women in the FAB group lost 2.8 kg [95% CI -4.2,-1.4] from baseline compared to a loss of 1.8 kg [95% CI -3.8,+0.3] in the T4B group (p = 0.42 for the difference between groups). In 60 women who reached 12 months postpartum before the onset of the COVID-19 pandemic, women randomized to FAB lost 4.3 kg [95% CI -6.0,-2.6] compared to loss in the control group of 1.3 kg [95% CI -3.7,+1.1] (p = 0.0451 for the difference between groups).
ConclusionsThere were no significant differences between groups for postpartum weight loss for the entire study population. Among those unaffected by the COVID pandemic, women randomized to the FAB program lost significantly more weight than those randomized to the T4B program. The mHealth FAB program demonstrated a substantial level of engagement. Given the scalability and potential public health impact of the FAB program, the efficacy for decreasing cardiometabolic risk by increasing postpartum weight loss should be tested in a larger trial.
Pharmacists are increasingly joining the general practice skill-mix. Research is still in relative infancy, but barriers and facilitators to their integration are emerging, as well as indications that pharmacists’ skillset remain underutilised. This study explores first-hand experiences and perspectives among general practice teams of the processes that underpin the effective integration and sustained contribution of pharmacists in general practice.
This research employed a qualitative case study approach involving general practice teams in Wales. Data were collected from eight general practices where each practice represented one case study. Data were collected via online interviews (one-to-one or group) and written feedback. Data were pattern coded and analysed thematically through a constant comparative approach. Data interpretations were confirmed with participants and wider general practice teams.
Eight general practice teams across Wales (comprising combinations of practice and business managers, general practitioners (GPs) and general practice pharmacists) represented eight case studies. Cases were required to have had experience of working with a general practice pharmacist.
Data were yielded from five practice managers, two GPs, three general practice pharmacists and a business manager. A total of 3 hours and 2 min of interview data was recorded as well as 2038 words of written feedback. Three foundations to pharmacists’ effective contribution to general practice were identified: defining the role (through identifying the right pharmacist, mapping skillset to demand and utilising the increasing need for specialist skills), appropriate infrastructure and workforce review, and an appropriate employment model.
Pharmacists are becoming increasingly critical to the general practice skill-mix and utilisation of their specialist skillset is crucial. This paper identifies how to enable the effective integration and sustained contribution of pharmacists to general practice.