The quality of prison primary care: cross-sectional cluster-level analyses of prison healthcare data in the North of England
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SUBMITTER: McLintock K
PROVIDER: S-EPMC10484963 | biostudies-literature | 2023 Aug
REPOSITORIES: biostudies-literature
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Project description:BackgroundInternationally, people in prison should receive a standard of healthcare provision equivalent to people living in the community. Yet efforts to assess the quality of healthcare through the use of quality indicators or performance measures have been much more widely reported in the community than in the prison setting. This review aims to provide an overview of research undertaken to develop quality indicators suitable for prison healthcare.MethodsAn international scoping review of articles published in English was conducted between 2004 and 2021. Searches of six electronic databases (MEDLINE, CINAHL, Scopus, Embase, PsycInfo and Criminal Justice Abstracts) were supplemented with journal searches, author searches and forwards and backwards citation tracking.ResultsTwelve articles were included in the review, all of which were from the United States. Quality indicator selection processes varied in rigour, and there was no evidence of patient involvement in consultation activities. Selected indicators predominantly measured healthcare processes rather than health outcomes or healthcare structure. Difficulties identified in developing performance measures for the prison setting included resource constraints, data system functionality, and the comparability of the prison population to the non-incarcerated population.ConclusionsSelecting performance measures for healthcare that are evidence-based, relevant to the population and feasible requires rigorous and transparent processes. Balanced sets of indicators for prison healthcare need to reflect prison population trends, be operable within data systems and be aligned with equivalence principles. More effort needs to be made to meaningfully engage people with lived experience in stakeholder consultations on prison healthcare quality. Monitoring healthcare structure, processes and outcomes in prison settings will provide evidence to improve care quality with the aim of reducing health inequalities experienced by people living in prison.
| S-EPMC8902782 | biostudies-literature
Project description:A new pay-for-performance scheme for primary care physicians was introduced in England in 2004 as part of an initiative to link the quality of primary care with physician pay.To investigate the association between the quality of primary care and rates of hospital admissions for coronary heart disease.Ecological cross-sectional study using data from the Quality and Outcomes Framework for family practice, hospital admissions, and census data.All 303 primary care trusts in England, covering approximately 50 million people.Rates of elective and unplanned hospital admissions for coronary heart disease and rates of coronary angioplasty and coronary artery bypass grafting were regressed against quality-of-care measures from the Quality and Outcomes Framework, area socioeconomic scores, and disease prevalence.Correlations between prevalence, area socioeconomic scores, and admission rates were generally weak. The strongest relations were seen between area socioeconomic scores and elective and unplanned hospital admissions and revascularization procedures among the age group 45-74 years. Among those aged 75 years and over, the only positive association observed was between area socioeconomic scores and unplanned hospital admissions.The lack of an association between quality scores and admission rates suggests that improving the quality of primary care may not reduce demands on the hospital sector and that other factors are much better predictors of hospitalization for coronary heart disease.
| S-EPMC2359159 | biostudies-other
Project description:IntroductionStudies on inmates' Health Care Service (HCS) utilization are scarce globally, infrequent in Ethiopia while findings about the factors associated with HCS utilization are inconsistent. The present study, therefore, examined inmates' HCS utilization and associated socio-demographic and imprisonment related factors in Northwestern Ethiopia.MethodsThe study employed institution-based cross sectional research design and data was collected using questionnaire from 422 inmates in three prisons. The questionnaire collected data about prisoners' demographic characters, imprisonment related information and HCS utilization. Descriptive statistical techniques as well as bi-variate and multiple logistic regressions were used to analyse the data.Results and discussionsThe study found that 72.5%, 66.1% and 13.3% of the inmates, respectively, used medical services, guidance and counseling services, and psychiatric services. Inmates with primary education, with secondary education, and who know the availability of the services were more likely to use medical services. Inmates with accused status were less likely to use medical services than inmates with convict status. Divorced marital status and knowledge of the service availability were associated with high guidance and counseling service use. An increase in the length of stay in the prison was associated with a decrease in psychiatry service use while knowledge of service availability was associated with higher odds of psychiatry service use. There are high medical care service utilization while low mental health care service utilization among inmates in Northwestern Ethiopia. Results of the study implied that there is a critical need for immediate health care service promotion and education measures. Besides, there are also needs for large scale, longitudinal and potentially cross-cultural studies to better understand additional factors that influence inmates' HCS utilization.
| S-EPMC11337193 | biostudies-literature
Project description:BackgroundCOVID-19 is likely to have had an impact on the mental wellbeing of prison staff because of the high risk for infectious disease outbreaks in prisons and the pre-existing high burden of mental health issues among staff.MethodsA cross-sectional study of staff within 26 prisons in England was carried out between 20th July 2020 and 2nd October 2020. Mental wellbeing was measured using the Short-version of Warwick-Edinburgh Wellbeing Scale (SWEMWBS). Staff wellbeing was compared to that of the English population using indirectly standardised data from the Health Survey for England 2010-13 and a one-sample t-test. Multivariate linear regression modelling explored associations with mental wellbeing score.ResultsTwo thousand five hundred and thirty-four individuals were included (response rate 22.2%). The mean age was 44 years, 53% were female, and 93% were white. The sample mean SWEMWBS score was 23.84 and the standardised population mean score was 23.57. The difference in means was statistically significant (95% CI 0.09-0.46), but not of a clinically meaningful level. The multivariate linear regression model was adjusted for age category, sex, ethnicity, smoking status, occupation, and prison service region. Higher wellbeing was significantly associated with older age, male sex, Black/Black British ethnicity, never having smoked, working within the health staff team, and working in certain prison regions.InterpretationUnexpectedly, prison staff wellbeing as measured by SWEMWBS was similar to that of the general population. Reasons for this are unclear but could include the reduction in violence within prisons since the start of the pandemic. Qualitative research across a diverse sample of prison settings would enrich understanding of staff wellbeing within the pandemic.
| S-EPMC10020237 | biostudies-literature
Project description:BackgroundNursing students and nurse preceptors indicate that a comprehensive orientation is vital to successful work-integrated learning placements in Prison Health Services. The aim of this study was to implement and evaluate a Prison Health Service orientation package that included innovative asynchronous online video simulations with branched decision-making and feedback opportunities to stimulate learning and improve students' feelings of preparedness for a placement in this setting.MethodsA cross-sectional pre and post design was used to evaluate the resource. Students were given access to the package and invited to complete a pre-placement survey evaluating the resource and their feelings of preparedness for placement. Following placement, they re-evaluated the resource in terms of how well it prepared them for the placement and how well prepared they felt. Third year Australian undergraduate nursing students from one university who completed a Prison Health Service work-integrated learning placement in 2018, 2021, and 2022 were invited to participate. Placements were unavailable in 2019 and 2020. Independent t-tests were used to determine differences in scale means and level of preparedness between pre- and post-survey responses.ResultsTwenty-three of 40 (57.5%) eligible nursing students completed the pre-placement survey and 13 (32.5%) completed the post placement survey. All respondents to the pre-placement survey indicated that they felt satisfactorily, well, or very well prepared after completing the orientation package prior to their clinical placement. Students were significantly more likely to consider themselves well prepared by the package after they had attended placement (p < .001). All students post placement indicated that overall, the simulation resources and the specific simulation scenario about personal boundaries and management of manipulative behaviours was useful for their placement. The majority of students would recommend the orientation package to other students. Suggestions for improvement included streamlining the resource to reduce the time to complete it.ConclusionsAsynchronous online simulation with the capacity for branched decision making and feedback along with a comprehensive online orientation package were perceived as useful to prepare undergraduate students for placement in the Prison Health Service work-integrated learning setting.
| S-EPMC10506296 | biostudies-literature
Project description:BackgroundQuality of life (QoL) is an important measure of overall well-being linked to physical, mental, social, and environmental aspects of health. This study aimed to assess the QoL among healthcare workers (HCWs) in hospitals and primary healthcare centers (PHCs) in Gaza Strip, Palestine.MethodsA cross-sectional study was conducted among 1850 HCWs in Gaza Strip, Palestine. Data were collected by using self-administered questionnaires in the paper-based format containing a sociodemographic profile and the World Health Organization Quality of Life Brief questionnaire. Factors associated with QoL were examined using an independent t-test, Chi-square test, and multivariate logistic regression models.ResultsThe study included HCWs with a mean age of 38.62 years old, of whom 61.9% were male. The mean QoL score was 55.98 (standard deviation: 11.50), with 55.5% reporting a good QoL. Multivariate logistic regression analysis revealed that age, smoking status, workplace, and work shifts were associated with the overall QoL score (p < 0.05). Older age (≥ 35 years), working in a hospital, and working the morning shifts were identified as protective factors for QoL, while smoking and working the evening-night shifts were inversely associated with QoL.ConclusionsThis study found that HCWs in Gaza Strip exhibited moderate levels of QoL. Age, smoking status, workplace, and work shifts were associated with overall QoL. Strategies to improve HCWs' QoL, such as lifestyle interventions, additional support through training or educational programs, and reducing work schedules, could be considered under high-pressure situations.
| S-EPMC11763158 | biostudies-literature
Project description:To evaluate the prevalence, type and severity of prescribing errors observed between grades of prescriber, ward area, admission or discharge and type of medication prescribed.Ward-based clinical pharmacists prospectively documented prescribing errors at the point of clinically checking admission or discharge prescriptions. Error categories and severities were assigned at the point of data collection, and verified independently by the study team.Prospective study of nine diverse National Health Service hospitals in North West England, including teaching hospitals, district hospitals and specialist services for paediatrics, women and mental health.Of 4238 prescriptions evaluated, one or more error was observed in 1857 (43.8%) prescriptions, with a total of 3011 errors observed. Of these, 1264 (41.9%) were minor, 1629 (54.1%) were significant, 109 (3.6%) were serious and 9 (0.30%) were potentially life threatening. The majority of errors considered to be potentially lethal (n=9) were dosing errors (n=8), mostly relating to overdose (n=7). The rate of error was not significantly different between newly qualified doctors compared with junior, middle grade or senior doctors. Multivariable analyses revealed the strongest predictor of error was the number of items on a prescription (risk of error increased 14% for each additional item). We observed a high rate of error from medication omission, particularly among patients admitted acutely into hospital. Electronic prescribing systems could potentially have prevented up to a quarter of (but not all) errors.In contrast to other studies, prescriber experience did not impact on overall error rate (although there were qualitative differences in error category). Given that multiple drug therapies are now the norm for many medical conditions, health systems should introduce and retain safeguards which detect and prevent error, in addition to continuing training and education, and migration to electronic prescribing systems.
| S-EPMC3553389 | biostudies-other
Project description:OBJECTIVE:To estimate obesity prevalence among healthcare professionals in England and compare prevalence with those working outside of the health services. DESIGN:Cross-sectional study based on data from 5 years (2008-2012) of the nationally representative Health Survey for England. SETTING:England. PARTICIPANTS:20 103 adults aged 17-65 years indicating they were economically active at the time of survey classified into four occupational groups: nurses (n=422), other healthcare professionals (n=412), unregistered care workers (n=736) and individuals employed in non-health-related occupations (n=18 533). OUTCOME MEASURE:Prevalence of obesity defined as body mass index ≥30.0 with 95% CIs and weighted to reflect the population. RESULTS:Obesity prevalence was high across all occupational groups including: among nurses (25.1%, 95% CI 20.9% to 29.4%); other healthcare professionals (14.4%, 95% CI 11.0% to 17.8%); non-health-related occupations (23.5%, 95% CI 22.9% to 24.1%); and unregistered care workers who had the highest prevalence of obesity (31.9%, 95% CI 28.4% to 35.3%). A logistic regression model adjusted for sociodemographic composition and survey year indicated that, compared with nurses, the odds of being obese were significantly lower for other healthcare professionals (adjusted OR (aOR) 0.52, 95% CI 0.37 to 0.75) and higher for unregistered care workers (aOR 1.46, 95% CI 1.11 to 1.93). There was no significant difference in obesity prevalence between nurses and people working in non-health-related occupations (aOR 0.94, 95% CI 0.74 to 1.18). CONCLUSIONS:High obesity prevalence among nurses and unregistered care workers is concerning as it increases the risks of musculoskeletal conditions and mental health conditions that are the main causes of sickness absence in health services. Further research is required to better understand the reasons for high obesity prevalence among healthcare professionals in England to inform interventions to support individuals to achieve and maintain a healthy weight.
| S-EPMC5719305 | biostudies-literature
Project description:ObjectivesConducting randomised controlled trials (RCTs) in primary care is challenging; recruiting patients during time-limited or remote consultations can increase selection bias and physical access to patients' notes is costly and time-consuming. We investigated barriers and facilitators to running a more efficient design.DesignAn RCT aiming to reduce antibiotic prescribing among children presenting with acute cough and a respiratory tract infection (RTI) with a clinician-focused intervention, embedded at the practice level. By using aggregate level, routinely collected data for the coprimary outcomes, we removed the need to recruit individual participants.SettingPrimary care.ParticipantsBaseline data from general practitioner practices and interviews with individuals from Clinical Research Networks (CRNs) in England who helped recruit practices and Clinical Commission Groups (CCGs) who collected outcome data.InterventionThe intervention included: (1) explicit elicitation of parental concerns, (2) a prognostic algorithm to identify children at low risk of hospitalisation and (3) provision of a printout for carers including safety-netting advice.Coprimary outcomesFor 0-9 years old-(1) Dispensing data for amoxicillin and macrolide antibiotics and (2) hospital admission rate for RTI.ResultsWe recruited 294 of the intended 310 practices (95%) representing 336 496 registered 0-9 years old (5% of all 0-9 years old children). Included practices were slightly larger, had slightly lower baseline prescribing rates and were located in more deprived areas reflecting the national distribution. Engagement with CCGs and their understanding of their role in this research was variable. Engagement with CRNs and installation of the intervention was straight-forward although the impact of updates to practice IT systems and lack of familiarity required extended support in some practices. Data on the coprimary outcomes were almost 100%.ConclusionsThe infrastructure for trials at the practice level using routinely collected data for primary outcomes is viable in England and should be promoted for primary care research where appropriate.Trial registration numberISRCTN11405239.
| S-EPMC9252201 | biostudies-literature
Project description:The paper proposes a framework for comparing the quality of healthcare providers and assessing the variation in quality between them, which is directly applicable to both ordinal and cardinal quality data on a comparable basis. The resultant measures are sensitive to the full distribution of quality scores for each provider, not just the mean or the proportion meeting some binary quality threshold, thereby making full use of the multicategory response data increasingly available from patient experience surveys. The measures can also be standardized for factors such as age, sex, ethnicity, health and deprivation using a distribution regression model. We illustrate by measuring the quality of primary care services in England in 2019 using three different sources of publicly available, general practice-level information: multicategory response patient experience data, ordinal inspection ratings and cardinal clinical achievement scores. We find considerable variation at both local and regional levels using all three data sources. However, the correlation between the comparative quality indices calculated using the alternative data sources is weak, suggesting that they capture different aspects of general practice quality.
| S-EPMC9804671 | biostudies-literature