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Interventions to improve the implementation of evidence-based healthcare in prisons: a scoping review

Abstract

Background

There are challenges to delivering high quality primary care within prison settings and well-recognised gaps between evidence and practice. There is a growing body of literature evaluating interventions to implement evidence-based practice in the general population, yet the extent and rigour of such evaluations in incarcerated populations are unknown. We therefore conducted a scoping literature review to identify and describe evaluations of implementation interventions in the prison setting.

Methods

We searched EMBASE, MEDLINE, CINAHL Plus, Scopus, and grey literature up to August 2021, supplemented by hand searching. Search terms included prisons, evidence-based practice, and implementation science with relevant synonyms. Two reviewers independently selected studies for inclusion. Data extraction included study populations, study design, outcomes, and author conclusions. We took a narrative approach to data synthesis. We followed Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidance for scoping reviews.

Results

Fifteen studies reported in 17 papers comprised one randomised controlled trial, one controlled interrupted time series analysis and 13 uncontrolled before and after studies. Eight studies took place in the US and four in the UK. Ten studies evaluated combined (multifaceted) interventions, typically including education for staff or patients. Interventions most commonly targeted communicable diseases, mental health and screening uptake. Thirteen studies reported adherence to processes of care, mainly testing, prescribing and referrals. Fourteen studies concluded that interventions had positive impacts.

Conclusions

There is a paucity of high-quality evidence to inform strategies to implement evidence-based health care in prisons, and an over-reliance on weak evaluation designs which may over-estimate effectiveness. Whilst most evaluations have focused on recognised priorities for the incarcerated population, relatively little attention has been paid to long-term conditions core to primary care delivery. Initiatives to close the gaps between evidence and practice in prison primary care need a stronger evidence base.

Background

The global incarcerated population has grown by a quarter over in the past two decades, to 11 million in 2021 (Fair & Walmsley, 2021). Multiple social and economic disadvantages contribute to a high burden of long-term conditions, communicable diseases, mental illness, and drug misuse in this population (Condon et al., 2007; Fazel & Baillargeon, 2011; Kinner & Young, 2018; Stürup-Toft et al., 2018; Toledanes et al., 2021; Wang et al., 2017). Shifting demographics towards an ageing incarcerated population are placing further demands on healthcare systems (Forsyth et al., 2017; Ministry of Justice, 2020; Wang et al., 2017).

In the last three decades evidence-based healthcare – the translation of high-quality research into clinical practice - has become internationally accepted as essential for quality improvement, yet well-recognised gaps between recommended and actual health care and associated inappropriate variations pervade different health care settings and patient populations (Brownlee et al., 2017; Glasziou et al., 2017). This may include under-treatment and failures to meet targets for long term conditions such as diabetes and hypertension or potentially inappropriate or risky treatment (Foy et al., 2016; Willis et al., 2017). Such gaps disproportionately affect marginalised or lower socio-economic status groups, such as incarcerated persons (Rich et al., 2014; Stürup-Toft et al., 2018; World Health Organisation, 2018). For example, despite reported higher rates of cardiovascular disease in incarcerated populations compared to community populations, the availability of prescription medication, exercise and low salt diets are often out of an incarcerated person’s control (Wang et al., 2017).

Evidence-based clinical guidelines are necessary but seldom sufficient alone to bring about significant improvements in health care delivery (Grimshaw et al., 2012). This challenge is heightened in custodial settings, where adherence to guideline-recommended practice is generally lower than that for the wider population in, for example, managing cardiovascular disease, epilepsy, blood-borne viruses (BBVs), mental illness and in preventing illness through cervical screening (Chan et al., 2015; Davis et al., 2018; Elwood Martin et al., 2004; Gibson & Phillips, 2016; Humphreys et al., 2015; Kinner & Young, 2018; Meine, 2018; Tittensor et al., 2008; Wang et al., 2017). This is likely due to a confluence of factors specific to the prison healthcare context. For instance, whilst most healthcare resourcing is inevitably limited, prison services and their associated healthcare provision have generally faced tighter funding constraints (Ismail, 2020; Stephenson & Bell, 2019), with understaffing and high numbers of vacant positions compromising safety and effectiveness. There are direct impacts of healthcare understaffing; for example, two thirds of prison nurses responding to a survey in the United Kingdom stated that the care they provided on their last shift was compromised and that the quality of care was poor (Royal College of Nursing, 2018). There are also impacts of prison service understaffing; for example, a recent report from the United Kingdom noted that incarcerated people missed 20-30% of medical appointments, and that this was largely attributed to the lack of prison officers to escort incarcerated people to the healthcare wing (Association of Members of Independent Monitoring Boards, 2018). This also illustrates how the wider priorities of prison regimes substantially influence healthcare delivery; the over-riding concern with security, which has no equivalent comparison with healthcare delivered in community settings, can delay access and reduce patient autonomy (Edge et al., 2020).

Challenges in the prison setting constrain healthcare quality, yet incarceration potentially presents opportunities to address health needs that may otherwise have gone unmet in community settings, such as providing vaccinations against communicable disease and enrolment into screening programmes. Charged with ‘evaluating, promoting, protecting and improving’ the health of incarcerated people (UN General Assembly, 2016 p.8), prisons should aim to provide a standard of care at least equivalent to that available in the wider community, also known as the equivalence principle. Yet, accumulating evidence and inquiries suggest equivalence is often not achieved, compounding existing health inequities (Health and Social Care Committee, 2018). Neglecting the health needs of incarcerated people has negative implications for both the individuals concerned and for society (Leaman et al., 2016). However, as broader experience with healthcare systems indicates, concerted efforts to increase the quality of care can bring wider benefits, beyond improved health outcomes for incarcerated people, such as improved staff morale or institutional reputation (Payne, 2012).

Active implementation strategies are therefore needed to close the gap between evidence and practice to improve health outcomes for this vulnerable population. There is a growing body of evidence, based on systematic reviews of rigorous experimental and quasi-experimental evaluations, summarising the effects of a range of implementation strategies (e.g., audit and feedback, education, computerised clinical decision support) on health care delivery and outcomes in the general population (Grimshaw et al., 2012; Hillman & Roueche, 2011; Jones et al., 2019). However, the applicability of such strategies to the prison context is uncertain.

Efforts to improve the implementation of clinical guidelines in prisons needs to build on an understanding of the available and context-specific evidence on the effectiveness of implementation strategies. Otherwise, resources may be wasted on ineffective strategies and new research will fail to learn from previous work (Glasziou & Chalmers, 2018). We therefore conducted a scoping review to identify and describe studies evaluating the effects of interventions to promote the uptake of evidence-based healthcare in prison settings.

Methods

Design

Scoping reviews offer a systematic approach to summarise evidence on broad research topics (Arksey & O’Malley, 2005). We used the PRISMA Scoping Review (PRISMA-ScR) checklist (Tricco et al., 2018) to structure and support our review (Additional file 1: Appendix 1).

Search strategy

We searched for and included any quantitative evaluations of interventions to improve the uptake of evidence-based practice or recommended healthcare in detention settings. We placed no limits on dates and country of origin but restricted our review to English language papers. We excluded studies of transitional care between custodial institutions and the community, those covering day release or community sentences, and those researching forensic or psychiatric inpatient populations. We excluded studies largely focused on the evaluation of clinical interventions (e.g. studies assessing the effectiveness of drug or psychological therapy for depression) as these fell outside the scope of recognised implementation strategies (Grimshaw et al., 2012). These included health promotion programmes and other interventions largely targeting the incarcerated population directly. This built in a focus on systematic changes in the prison healthcare system rather than the behaviour of incarcerated persons. However, we included evaluations including patient-mediated interventions, aimed at changing the performance of healthcare professionals through interactions with patients, or through information provided by or to patients (Fønhus et al., 2018). We excluded qualitative studies as our focus was on effectiveness evaluations but included the quantitative results from mixed-method evaluations.

Our search was focussed around three key concepts: prisons, evidence-based practice, and implementation science. Our search included synonyms of these terms, which were combined with Boolean operators. We consulted an academic librarian to determine the most relevant databases and inform our search strategy. One author (JB) then searched Medline, EMBASE, CINAHL, Scopus, and Web of Science for grey literature, searching up to August 2021 (Additional file 2: Appendix 2). The earliest dated paper for title screening was from 1978. Two reviewers (JB and JBl) checked references of all retrieved full-text papers. One reviewer (JB) hand searched two key journals (International Journal of Prisoner Healthcare and Journal of Correctional Healthcare). During the screening process, two authors were contacted via email to request final studies from published study protocols with one response received (Almost et al., 2019). All results and responses were downloaded and imported into Endnote X9 and duplicates removed.

Selection of literature

Two reviewers independently screened all retrieved titles (JB and Shruti Chawla, a medical student) and abstracts (JB and JBl). We included all titles and abstracts screened in by any reviewer. Two reviewers (JB and JBl) independently screened full texts, resolving disagreements by discussion or reference to a third author (RF). Consistent with scoping review methodology, we did not exclude papers on the basis of poor methodology as we aimed to describe and summarise currently available evidence (Arksey & O’Malley, 2005; Tricco et al., 2018).

Data extraction

We extracted and tabulated data on the following: first author and title; year of publication; country of study; study objectives; population and sample size; evaluation design (Eccles et al., 2003); intervention type (Grimshaw et al., 2012); outcomes; and key results or conclusions reported by the authors. Two reviewers (JB and RF) piloted full text data extraction before two reviewers (JB and JBI) independently extracted data, resolving any disagreements by discussion or reference to a third author (RF).

Figure 1 demonstrates the search strategy and screening process in a PRISMA flow diagram.

Fig. 1
figure 1

PRISMA flow diagram

Table 1 displays the 15 studies (17 papers) included in data synthesis with full extraction data.

Table 1 Summary of included studies

Results

Selected studies

Our searches yielded 4449 citations, out of which we screened 259 abstracts and then 43 full texts to include 15 studies (17 papers; Fig. 1). The studies were published between 2004 and 2021.

We found one randomised controlled trial (Pankow et al., 2018; Pearson et al., 2014) and one controlled interrupted time series analysis (Lee et al., 2016). The other 13 studies employed uncontrolled before and after designs, three of which were included within mixed-methods studies (Emerson et al., 2020; Meine, 2018; O’Toole et al., 2018). Table 1. summarises features of each study.

Eight studies took place in US detention centres (Beyda et al., 2018; Emerson et al., 2020; Lee et al., 2016; Lin et al., 2019; Meine, 2018; Pankow et al., 2018; Pearson et al., 2014; Reeves, 2012; Toledanes et al., 2021), four in the UK (Arif, 2018; Finnie, 2018; Francis-Graham et al., 2020; Morey et al., 2019), and one each in France (Cabelguenne et al., 2018; Lerat et al., 2011), Ireland (O’Toole et al., 2018) and Canada (Elwood Martin et al., 2004).

Twelve studies involved adult custodial settings; those holding males exclusively in seven studies (Arif, 2018; Cabelguenne et al., 2018; Finnie, 2018; Francis-Graham et al., 2020; Lerat et al., 2011; Lin et al., 2019; Morey et al., 2019; O’Toole et al., 2018) and holding females exclusively in three (Elwood Martin et al., 2004; Emerson et al., 2020; Meine, 2018). Two studies did not specify gender of the incarcerated persons (Pankow et al., 2018; Pearson et al., 2014; Reeves, 2012). Three studies were conducted in custodial settings for juveniles, with two housing both male and female juveniles (Lee et al., 2016; Toledanes et al., 2021) and one exclusively female setting (Beyda et al., 2018).

Of the eight US studies, three occurred in jails (Emerson et al., 2020; Lin et al., 2019; Meine, 2018), three in juvenile detention facilities (Beyda et al., 2018; Lee et al., 2016; Toledanes et al., 2021), one in prison (Reeves, 2012), and one in paired prisons or jails (Pankow et al., 2018; Pearson et al., 2014). Of the four UK studies, one studied a Category A (high security) prison (Francis-Graham et al., 2020), two studied Category B (remand and long-term) prisons (Arif, 2018; Morey et al., 2019) and once studied a Category C (training and resettlement) prison (Finnie, 2018).

Types of implementation intervention

We grouped interventions broadly into professional behaviour change and patient education; 12 studies evaluated interventions that concentrated on professional behaviour change (Beyda et al., 2018; Cabelguenne et al., 2018; Elwood Martin et al., 2004; Finnie, 2018; Francis-Graham et al., 2020; Lee et al., 2016; Lerat et al., 2011; Lin et al., 2019; Meine, 2018; Morey et al., 2019; Pankow et al., 2018; Pearson et al., 2014; Reeves, 2012; Toledanes et al., 2021) and three evaluated patient-mediated interventions involving educating or empowering patients (Arif, 2018; Emerson et al., 2020; O’Toole et al., 2018).

Ten studies evaluated multifaceted strategies which combined interventions (Arif, 2018; Beyda et al., 2018; Cabelguenne et al., 2018; Finnie, 2018; Francis-Graham et al., 2020; Lerat et al., 2011; Meine, 2018; Morey et al., 2019; Pankow et al., 2018; Pearson et al., 2014; Reeves, 2012; Toledanes et al., 2021). Eight studies evaluated educational meetings, largely aiming to improve staff knowledge and patient health literacy. For example, Elwood Martin et al. (2004) evaluated one-to-one nurse-led education sessions explaining the need for cervical cancer screening. Three study interventions drew on local opinion leaders, defined elsewhere as “individuals perceived as credible and trustworthy, who disseminate and implement best evidence” (Flodgren et al., 2019). For example, Pearson et al. appointed “local change teams” (Pankow et al., 2018; Pearson et al., 2014) led by senior healthcare staff with advanced training who acted as educators for the rest of their teams. Two studies evaluated printed educational materials. For example, Beyda et al. (2018) included leaflets written for patients providing detailed information on contraception options. System alerts were evaluated in two studies. For example, Finnie (2018) included prompts in electronic health records to identify patients due for health checks.

Targeted healthcare conditions

Four studies targeted the prevention and management of communicable diseases, specifically hepatitis B (Arif, 2018), hepatitis C (Arif, 2018; Francis-Graham et al., 2020; Morey et al., 2019) and human immunodeficiency viruses (HIV) (Pankow et al., 2018; Pearson et al., 2014). Four studies concerned mental health, specifically perinatal depression (Meine, 2018) and antipsychotic prescribing (Cabelguenne et al., 2018; Lee et al., 2016; Lerat et al., 2011; Reeves, 2012). Four studies targeted screening programmes or health promotion, specifically cervical cancer screening (Elwood Martin et al., 2004; Emerson et al., 2020), health checks (Finnie, 2018) and exercise (O’Toole et al., 2018). Two studies targeted long term conditions, asthma (Toledanes et al., 2021) and diabetes (Lin et al., 2019). One study targeted contraception (Beyda et al., 2018).

Outcomes

The most commonly reported outcomes were processes of care, with 13 studies reporting testing, prescribing and referrals (Arif, 2018; Beyda et al., 2018; Cabelguenne et al., 2018; Elwood Martin et al., 2004; Emerson et al., 2020; Finnie, 2018; Francis-Graham et al., 2020; Lee et al., 2016; Lerat et al., 2011; Lin et al., 2019; Meine, 2018; Morey et al., 2019; Pankow et al., 2018; Pearson et al., 2014; Reeves, 2012). The majority of these focused upon screening uptake (seven studies) (Arif, 2018; Elwood Martin et al., 2004; Emerson et al., 2020; Francis-Graham et al., 2020; Meine, 2018; Morey et al., 2019; Pearson et al., 2014). Three studies used patient outcomes such as glycaemic control or symptom scores (Lin et al., 2019; O’Toole et al., 2018; Toledanes et al., 2021). One study assessed patient knowledge (Emerson et al., 2020).

Author conclusions

All studies bar one (Elwood Martin et al., 2004) reported positive impacts of interventions. For example, there was a statistically significant decrease in the prevalence (and likely overdiagnosis) of asthma in juvenile detainees at two facilities, falling from 18.2% to 11.2% following the implementation of an asthma diagnosis protocol (p < 0.0001) (Toledanes et al., 2021). A cluster randomised controlled reported that addition of a protocol-based approach to HIV care doubled the odds of successful delivery of HIV prevention, screening and linkage to treatment (Pearson et al., 2014). The success of this strategy was attributed to high adherence by prison staff to the improvement strategy processes (Pankow et al., 2018).

Discussion

Considering the significant healthcare needs and vulnerability of the incarcerated population, our scoping review found relatively few evaluations of strategies to improve the uptake of evidence-based healthcare. Even amongst those evaluations identified, only two used rigorous study designs. Therefore, any drives to improve care will either depend on a weak evidence base or need to draw upon rigorous evidence generated in settings that may not be generalisable to prisons.

The majority of studies used uncontrolled before and after designs and reported improvements in care. Such designs are prone to major biases, such as maturation effects, when the passage of time brings about changes in the study units independent of the intervention, or regression to the mean, if study units selected on the basis of low performance subsequently tend to give scores closer to the average (Eccles et al., 2003; Goodacre, 2015). For example, Lin et al. (2019) reported a reduction in mean HbA1c outcomes after introducing pharmacist-led diabetes clinics. This reduction was mostly observed in individuals with higher pre-intervention HbA1c levels and hence this apparent improvement could be explained by regression to the mean rather than a true intervention effect. Furthermore, most studies took place in either a single facility or a small number of sites housing incarcerated populations, which may be self-selected and potentially more amenable to implementation interventions. Such selection bias would limit generalisability.

Most evidence was from US settings, which given differing terminology and criminal justice systems, may not be generalisable to other settings. For example, in the US, the term ‘prison’ refers to a long-term facility owned by either a state or the federal government housing those convicted of serious crimes. In contrast, in the UK for example, the term ‘prison’ refers to a facility holding long- and short-term incarcerated people, including those awaiting trial. Therefore, in a UK setting, a single site may hold incarcerated persons of varying sentence lengths compared to separation of those on remand in a US setting.

Defining and describing interventions was problematic given a lack of standardised descriptive terminology. Our grouping was based upon an existing taxonomy (Grimshaw et al., 2012), which may not have captured nuanced aspects of the interventions we identified. Similarly, it would be difficult to draw generalisable conclusions about intervention effectiveness from the evaluations of multiple cycles of varying interventions and multifaceted interventions. Together, these limitations in the literature pose problems for those looking to adopt or adapt evaluated interventions given uncertainties about their precise characteristics. For example, Reeves (2012) concluded that education, in combination with guideline amendment and peer profiling, was successful in achieving lasting changes in benzodiazepine prescribing. However, the educational intervention was mentioned several times without elaboration of its content. There are many different ways of delivering education with varying success and so the lack of common language and detail provides sparse information for those planning similar approaches. We also observed that the majority of studies relied upon education, which may have limited sustainability.

The conditions targeted largely reflect the recognised priorities for incarcerated populations of communicable diseases and mental health. Blood borne viral infections, substance misuse, depression and post-traumatic stress disorder are all highly prevalent in incarcerated populations (Kinner & Young, 2018). However, relatively few studies targeted other common long-term conditions typically managed in primary care, such as hypertension or asthma, as well as conditions associated with aging populations, such as atrial fibrillation and dementia. These conditions are often amenable to treatments or management strategies that can improve quality of life and longevity. For incarcerated people awaiting trial or serving shorter sentences, access to prison healthcare services offers opportunities for care for those with poor or inconsistent engagement with community primary care. Although men typically account for the majority of the incarcerated population (Walmsley, 2017), we noted that few studies focused on women’s healthcare needs, which may be greater (Public Health England, 2018); recent research has found that incarcerated females are more likely than their male counterparts to suffer from long-term physical health conditions (Wright et al., 2021) and experience mental health problems (Tyler et al., 2019). Indeed, self-harm rates have been found to be over ten times higher in women than for men in prison (Hawton et al., 2014).

Most outcomes concerned processes of care, some of which were evidence-based. For example, Reeves (2012) aimed to reduce prescribing recognised as causing potential patient harm. However, the utility of other outcome measures was sometimes uncertain, such as numbers of referrals (Finnie, 2018). Studies reporting outcomes such as symptom scores, as seen in O’Toole et al. (2018), provide more direct information relevant to patients but are prone to reporting bias due to the nature of self-reporting and subjective scales (Higgins et al., 2021). Whilst our review focused on measurable outcomes, we recognise the importance of outcomes which are less amenable to measurement, especially through routinely collected data, such as patient experience and autonomy.

Study strengths and limitations

Our study was novel in aiming to identify and describe evaluations of implementation interventions in the prison setting. We followed widely recognised methods for scoping reviews, including a reasonably comprehensive search strategy (Arksey & O’Malley, 2005). Apart from the limited quality of the evaluations we identified, we acknowledge three main limitations of our methods. First, our scoping review did not exclude on the basis of study quality. However, we noted the preponderance of weak designs with low validity for causal inference. Second, we are uncertain of the extent of publication bias and evaluations with favourable findings could be more likely to be reported than those showing no benefit. Third, we focused our review on studies assessing the effectiveness of implementation strategies and acknowledge that further valuable insights into why strategies succeed or not could be added by mixed-method process evaluations (Grant et al., 2013).

Implications for policy and research

Our findings mean that policymakers have little empirical basis for selecting and applying interventions to improve the uptake of evidence-based health care in prisons. There is a growing body of evidence from randomised trials and rigorous quasi-experiments for various implementation interventions in other healthcare settings, for example 140 studies evaluating the effects of audit and feedback (Ivers et al., 2012) and 108 studies evaluating the effects of computerised clinical decision support systems (Kwan et al., 2020), yet none of these studies concerned incarcerated populations. Whilst the findings of such systematic reviews could be applied with a degree of judgment (Sackett et al., 1996), prison settings present unique challenges to implementation (such as system and resource constraints and high health needs) which undermine generalisability of the wider evidence base. We did identify one robustly designed study, which demonstrates the feasibility of implementation trials in a prison setting and which found that quality improvement involving defined leadership, local change teams and staff training improved the uptake of HIV screening (Pankow et al., 2018; Pearson et al., 2014).

Our study holds up a mirror to the prison healthcare policy and research field. There have been calls for equivalence of healthcare and outcomes between incarcerated and community populations (Charles & Draper, 2012). The lack of rigorous evaluations we found suggests the need to re-balance research resources and efforts to start building a stronger evidence base to address the gaps between recommended and actual care in prisons. This will require capacity-building in this field of research, as well as collaborative work to allow secure data-sharing between prison healthcare providers and researchers. This would, for example, allow the use of routinely collected data as outcomes in future randomised trials of implementation strategies (Wolfenden et al., 2021).

Conclusion

There is a paucity of high-quality evidence on the effectiveness of strategies to improve the implementation of evidence-based health care in prisons. Whilst evidence from other settings may still be relevant, it is unlikely to take account of the highly challenging context of prison healthcare and the substantial needs of the incarcerated population. There is a case for more concerted efforts to develop and evaluate implementation interventions using rigorous evaluation designs.

Availability of data and materials

The main text and appendices include all relevant data from this study.

Abbreviations

BBV:

Blood borne virus

DBST:

Dry blood spot testing

HbA1c:

Glycated haemoglobin

HIV:

Human immunodeficiency virus

QI:

Quality improvement

UK:

United Kingdom

US:

United States of America

References

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Acknowledgements

Shruti Chawla, medical student at the University of Leeds, supported the initial literature screening.

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Contributions

JB and RF conceived the design of the study, producing a study protocol. JB developed the search strategy and accumulation of literature with oversight from RF. JB and JBl undertook screening and data extraction. JBl undertook data analysis and discussion with contribution from RF. JBl, JB and RF wrote the initial draft of the paper. SB and KC provided critical comments on the draft. JBl, RF and SB made revisions to the final manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Jenna Blackaby.

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Supplementary Information

Additional file 1.

Scoping Reviews (PRISMA-ScR) Checklist. This file contains details of the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) Checklist (Tricco et al., 2018).

Additional file 2.

Search Strategy. This file contains details of the complete search strategy performed.

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Blackaby, J., Byrne, J., Bellass, S. et al. Interventions to improve the implementation of evidence-based healthcare in prisons: a scoping review. Health Justice 11, 1 (2023). https://doi.org/10.1186/s40352-022-00200-x

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Keywords

  • Prison healthcare
  • Incarceration healthcare
  • Quality improvement
  • Intervention
  • Evidence-based