Submitted:
26 October 2026
Posted:
27 October 2026
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Abstract
Background: Staffing methods in healthcare assume that the time required for a service depends only on its clinical content. Under the Italian special detention regime (Article 41-bis of the Penitentiary Act), security barriers, escorts, one-person-at-a-time access and separation between socialization groups add a logistical, partly unpredictable time to every clinical act. Methods: We propose the Logistic–Temporal Correction Factor (LTCF), defined as the ratio between the actual and the standard time of a service, and embed it in a time-driven activity-based staffing model. A time-and-motion protocol for its measurement is described, and the model is applied to an illustrative scenario of a dedicated 41-bis institution. Results: For 210 persons under 41-bis and 45 medium-security inmates, the nursing requirement of the detention units rises from 10.9 full-time equivalents with LTCF = 1 to 17.9 with LTCF = 2 and 24.8 with LTCF = 3 (FTE ≈ 3.9 + 7.0 × LTCF). Conclusions: The LTCF makes measurable an organizational cost that is widely recognized but has never been quantified, and provides an objective basis for staffing and funding healthcare in high-security settings, where the compatibility between health and detention depends on the organizational model of care more than on the disease itself.
Keywords:
prison health
; correctional healthcare
; 41-bis regime
; healthcare workforce planning
; time-driven activity-based costing
; time-and-motion study
; fitness for detention
; health services funding
1. Introduction
The principle of equivalence of care requires that people in prison receive healthcare of a standard equal to that available in the community [1,2,3]. Yet the prison population carries a heavier burden of disease than the general population, with a higher prevalence of chronic, infectious and psychiatric conditions [4]; in a recent Italian study, about 41% of newly admitted inmates already had a psychiatric diagnosis at entry [5]. In Italy, the transfer of penitentiary healthcare to the National Health Service (NHS) made Regions and local health authorities responsible for care [6,7], within an arrangement in which two different organizational logics coexist: that of healthcare and the more hierarchical one of the Penitentiary Administration [8]. Healthcare professionals do not control movements between units, escort availability or external transport, yet these variables determine whether a diagnostic or therapeutic plan is delivered on time [9]. The 2015 national guidelines organized care into regional networks, whose most complex node is the Intensive Assistance Service (Servizio di Assistenza Intensificata, SAI) [10].
The special detention regime established by Article 41-bis of Law No. 354 of 26 July 1975 [11], applied to people detained for organized crime and terrorism offences, brings this complexity to its highest level. About 740 people are held under the regime, a number that has been stable for over a decade; in 2023, 43% were aged 60 or over and 12% were over 70 [12]. In 2019, for 754 people under 41-bis, 1129 health-related transfers and 99 guarded hospital admissions were recorded, totalling 984 inpatient days [13]. Ageing in custody brings forward the conditions typical of old age [14], and prolonged isolation is associated with an increased risk of psychiatric disorders and self-harm [15,16].
Those who must organize and fund healthcare in this setting face a methodological problem that, to the author’s knowledge, has never been addressed quantitatively. Staffing methods, including those adopted in Italy [17], estimate working time on the basis of the clinical content of services. Under the special regime, however, every clinical act requires the progressive opening of several security barriers, the presence of escort staff, one-person-at-a-time access and strict separation between socialization groups. This time is not clinical but logistical, and it appears in no staffing parameter. The result is a systematic underestimation of the staff required, which translates into delays in care, greater reliance on hospitals and, ultimately, the risk that treatable conditions become incompatible with detention.
This paper proposes the Logistic–Temporal Correction Factor (LTCF; in Italian, Fattore Correttivo Logistico-Temporale, FCLT), developed by the author in the course of penitentiary healthcare planning activities. The aims are: (i) to define the LTCF formally; (ii) to embed it in a staffing model; (iii) to propose a protocol for its empirical measurement; (iv) to illustrate its implications through an illustrative scenario; and (v) to discuss its relevance for the funding of services and for assessments of fitness for detention.
2. Legal and Case-Law Framework
2.1. The Special Regime and Its Constraints on Healthcare
Article 41-bis(2) of the Penitentiary Act allows the suspension, for people detained for serious organized crime offences, of the ordinary rules of treatment that may conflict with order and security. Paragraph 2-quater requires placement in dedicated institutions or units, logistically separated, and measures to prevent any communication between members of different socialization groups. Custody is entrusted to a specialized unit of the Penitentiary Police, the Mobile Operational Group (Gruppo Operativo Mobile, GOM).
The Italian Constitutional Court has repeatedly held that the restrictions of the special regime are legitimate only insofar as they serve the preventive purpose that justifies them, and unlawful where they become merely punitive [18,19]. The LTCF does not question these constraints; it measures their organizational cost. Precisely because the restrictions are legitimate and necessary, the additional time they generate cannot be eliminated: it must be recognized and funded, so that it does not result in reduced care.
2.2. Fitness for Detention as a Function of Organization
Assessments of compatibility between health conditions and detention are where the organizational problem becomes a legal one. Deferral of the execution of a sentence (Articles 146 and 147 of the Criminal Code), home detention on health grounds (Article 47-ter of the Penitentiary Act) and decisions on pre-trial custody (Article 275 of the Code of Criminal Procedure) are based not on the disease in the abstract, but on the concrete possibility of providing adequate care in the place of detention.
Case law has applied this criterion to people under the special regime as well. In the case of an elderly and seriously ill person held under 41-bis, the Court of Cassation held that the right to a dignified existence must be guaranteed in prison too, and that the court must verify in concrete terms whether the state of health renders detention contrary to the sense of humanity, even where the clinical condition is constantly monitored [20]. The Constitutional Court extended home detention to people with a severe supervening mental illness, holding that mental health deserves the same protection as physical health [21]. In 2020, after the controversy over home detention granted on health grounds to people convicted of organized crime offences during the pandemic, the legislature introduced periodic review of such measures; the Constitutional Court upheld this mechanism, specifying that revocation remains discretionary and that health must in any case be protected where care cannot be guaranteed in prison [22].
The European Court of Human Rights follows the same criterion. In Provenzano v. Italy, the Court found no violation of Article 3 of the Convention as regards the medical care provided, which it considered adequate, but found a violation in the renewal of the special regime for a person who was bedridden and artificially fed [23]. In Cara-Damiani v. Italy and Pelle v. Italy, concerning paraplegic prisoners, the violation stemmed precisely from the institution’s inability to provide continuous rehabilitation owing to a lack of facilities and staff [24,25]; in the same institution, which also hosts a 41-bis unit, a delegation of the criminal bar found only two physiotherapists for about 700 prisoners [26].
From this case law follows the principle on which this paper rests: the possibility of managing a detained person effectively within a penitentiary depends not so much on the disease from which they suffer as on the organizational model of care. Compatibility with detention is not an unchangeable clinical fact, but the result of organizational and investment choices. A tool capable of correctly sizing resources in high-security settings therefore has not only managerial value: it directly affects the protection of the right to health and the proper execution of sentences.
3. Materials and Methods
3.1. Application Scenario
The model is applied to an illustrative scenario representative of the dedicated institutions for the special regime that are being established in Italy under the national plan to concentrate the 41-bis circuit. We consider an institution holding 210 people under 41-bis and 45 medium-security inmates (working unit), currently provided with primary care only, in which a 7-bed SAI is to be established. In the hub-and-spoke model defined by the 2015 guidelines, institutions with a SAI serve as referral centers for those providing only primary care [9,10].
3.2. Definition of the Logistic–Temporal Correction Factor
The actual time Tact required to deliver a healthcare service in a detention circuit can be split into a clinical component Tclin, corresponding to direct patient contact, and a logistical component Tlog, which includes the access request, waiting for and opening of security barriers, waiting for and accompaniment by the escort, internal transfers and the security procedures associated with the service. The LTCF of an activity is defined as the ratio between the actual time in the circuit considered and the standard time of the same activity in the absence of the regime’s constraints:
LTCF = Tact / Tstd = (Tclin + Tlog) / Tstd
By definition, LTCF = 1 in settings where the logistical component is negligible; values above 1 express how many times the regime multiplies the required time. Operational experience in high-security circuits suggests an empirical reference estimate of 3.0, which, in the absence of published measurements, is treated here as a hypothesis and subjected to sensitivity analysis.
The logistical component is not only longer but also more variable. Healthcare under the special regime is marked by a constant relationship with the unforeseeable: despite the experience of Penitentiary Police staff, the elements at play (escort availability, simultaneous movements, events within the unit) interact in partly unpredictable ways. We therefore propose describing the LTCF with two parameters: the central value (LTCF50), to be used for ordinary staffing, and the 90th percentile (LTCF90), which captures variability and can be used to size functions that do not tolerate delays, such as emergencies and time-critical medication.
3.3. Staffing Model
Staffing requirements are estimated with a time-driven activity-based costing (TDABC) approach, which assigns the necessary time to each activity and derives the required capacity [27,28,29]. The model distinguishes a fixed component, i.e., continuous shift coverage independent of volume (for example, one nurse always present in the SAI), and a variable component, i.e., the workload of the detention units. For the variable component, the daily hours of care are:
where i denotes the activity, c the circuit (41-bis or medium security), Nc the number of people in the circuit, qi the proportion of people requiring the activity, fi its daily frequency, ti its standard time in minutes, LTCFc the circuit’s factor (set to 1 for medium security) and α the share of indirect activities (documentation, medication management, handovers), set at 25%. Full-time equivalents (FTE) are obtained as:
where Hfixed are the daily hours of fixed coverage (for the detention units, one night nurse from 21:00 to 07:00) and AFTE the annual available working hours per staff member, set at 1500 for nurses and healthcare assistants and 1550 for physicians. The average number of nurses simultaneously on duty during the day (07:00–21:00) is H/14.
H = Σi Σc (Nc × qi × fi × ti × LTCFc) / 60 × (1 + α)
FTE = (H × 365 + Hfixed × 365) / AFTE
3.4. Parameters and Scenarios
The parameters of nursing activities in the detention units are reported in Table 1. They are reasoned estimates based on the age structure and chronic disease burden of the expected population, to be replaced by measured values. The LTCF of the 41-bis circuit was varied from 1.0 (no correction) to 3.0 (reference estimate) in steps of 0.5.
3.5. Protocol for Measuring the LTCF
We propose a prospective observational time-and-motion study conducted according to the available methodological recommendations for this design [30,31]. Its key feature is an internal control: the same activities, performed by the same staff in the same institution, are timed in the 41-bis circuit and in the medium-security circuit, so that time differences can be attributed to the regime rather than to the operator or the organization.
- Unit of observation: the individual service, from the request for access to the unit to the return of the professional to the health service area.
- Time decomposition: for each service, clinical contact time, waiting time (barriers, escort, other movements) and internal transfer time are recorded separately, using operational start and stop definitions fixed before the study.
- Sampling: at least 30 observations per activity and per circuit, spread across morning, afternoon and night shifts and across weekdays and holidays, over a period of at least two weeks.
- Analysis: a linear mixed model on the logarithm of actual time, with circuit as a fixed effect, activity as a covariate and operator and day as random effects; the LTCF is estimated as the exponential of the circuit coefficient, with a bootstrap 95% confidence interval. LTCF90 is obtained as the ratio of the 90th percentiles of the distributions.
- Ethics: the study observes staff activity and collects no clinical or identifying data on detained persons; it nonetheless requires approval by the competent ethics committee and authorization from the Penitentiary Administration.
3.6. Estimate of Demand for External Care
To estimate the demand for external services in the absence of an intramural intensive service, national 2019 rates were applied to the expected population: 1.50 health-related transfers, 0.13 guarded hospital admissions and 1.3 guarded inpatient days per person per year [13]. The model was implemented in a spreadsheet and a Python script, available on request.
4. Results
4.1. Nursing Requirements of the Detention Units
Table 2 reports the nursing requirements of the detention units as the LTCF varies. Without correction, the workload is 34.8 hours per day, corresponding to 2.5 nurses on average during the day and 10.9 FTE including night coverage. With LTCF = 2 the requirement rises to 17.9 FTE (+64%), and with LTCF = 3 to 24.8 FTE (+128%). Within the range considered, the relationship is linear:
FTEunits ≈ 3.9 + 7.0 × LTCF
Each unit increase in the LTCF therefore requires about seven additional full-time nurses. A staffing level of three day nurses, which in the absence of an explicit method might appear reasonable for an institution of this size, corresponds to an LTCF of about 1.26, i.e., to the assumption, unrealistic for the special regime, that logistical constraints are almost absent.
4.2. Overall Staffing of the Service
Table 3 reports the overall staffing of the institution, including the 7-bed SAI, in the start-up scenario with LTCF = 2, which allows the service to be activated pending measurement and progressively adjusted to the observed value. Functionally, the SAI is a non-hospital facility comparable to the Community Hospital defined by Italian community-care standards [32], but with higher clinical intensity and with the constraints of the custodial setting.
4.3. Demand for External Care
In the absence of an intramural intensive service, a population of 210 people under 41-bis would generate about 314 health-related transfers, 28 guarded hospital admissions and 274 guarded inpatient days per year (Table 4). The estimate is conservative, being based on rates observed in a younger population than the current one.
4.4. Implications for Funding
Because the variable component of the requirement grows linearly with the LTCF, the staff cost of the detention units can be expressed as the cost calculated with ordinary parameters multiplied by a factor that depends on the LTCF. This yields a simple and verifiable funding rule: the budget allocated to the service is determined by applying the LTCF to the ordinary requirement and is updated annually on the basis of the measured value. In this way, the higher cost does not appear as an inefficiency of the service, but as the documented consequence of an external, legitimate constraint imposed by the security needs of the State.
5. Discussion
5.1. Main Findings
This paper proposes a parameter that makes measurable a component of healthcare work familiar to anyone working in high-security settings but absent, until now, from staffing methods: the logistical time imposed by custody. The application to the illustrative scenario shows that the effect is far from marginal. With the reference estimate, the nursing requirement of the detention units is more than double that calculated with ordinary parameters, and even in the most conservative scenario the increase is about two-thirds. A service sized without correction would be structurally understaffed from the outset.
5.2. The Two Faces of the LTCF
The LTCF acts in two directions. Inside the institution, it lengthens the time of every service and drives the higher staffing requirement. Outside, every transfer and every guarded hospital admission of a person under 41-bis requires reinforced escorts and the securing of hospital wards, making each exit an exceptional event to be reserved for cases in which it is clinically indispensable. Both faces lead to the same conclusion: since the outside can be relied upon only under conditions of particular security, the system must work inside to the fullest extent possible, and the additional staff required by the LTCF is the price of this choice, not an avoidable cost. From this perspective, the LTCF is not merely a calculation coefficient but the criterion for orienting the entire organizational model towards maximum intramural autonomy.
5.3. Comparison with the Literature
To the best of the author’s knowledge, no quantitative parameter correcting the standard time of healthcare services for custodial constraints has been proposed so far. The problem has been addressed in other terms. In United States correctional systems, the relief factor indicates the number of staff needed to cover a post around the clock and concerns custodial staff, not the duration of healthcare services [33]. The National Commission on Correctional Health Care has documented how escort shortages delay medication, visits and treatment and has recommended measuring such delays, without translating them into a staffing parameter [34]. A recent Italian operational model proposes governing conflicts between security schedules and clinical timing through shared procedures, escalation pathways and audits [9]; the LTCF is its quantitative complement, as it measures that conflict and translates it into staff and resources. Activity-based costing models applied to prison healthcare build costs by activity and professional role without any correction for custodial time [35]. Piedmont regional legislation recognizes that the intensity of care must be commensurate with the characteristics of detention circuits, but only in qualitative terms [36]. The LTCF fills this gap by turning a known constraint into a measurable quantity that is comparable across institutions and usable for both staffing and funding.
5.4. Legal and Medico-Legal Implications
The principle that the manageability of a detained person depends on the organizational model rather than on the disease finds its operational tool in the LTCF. If assessments of fitness for detention depend on the concrete possibility of adequate care [20,22], and if European case law censures inadequate care when it results from structural and staffing deficiencies [24,25] while excluding it when care is adequate [23], then the correct sizing of the service directly shifts the threshold of compatibility. An understaffed service makes treatable conditions incompatible with detention, multiplying exits, guarded admissions and requests for deferral of sentences, with the resulting tensions between health protection and security needs. A service sized with the LTCF, on the other hand, can provide most appropriate care on site and document it to the judicial authorities, offering expert witnesses and courts an objective reference on the adequacy of the healthcare organization. Determining fitness for detention, when prison cannot be avoided, means guaranteeing both health and the execution of the sentence, two essential requirements of the rule of law.
5.5. Generalizability
Although developed for the 41-bis regime, the LTCF can be applied to any setting in which access to healthcare is conditioned by custodial constraints: high-security units, segregation and isolation units, maximum-security facilities in other jurisdictions, secure hospital wards and, with appropriate adaptations, forensic psychiatric facilities. As a ratio of times, it is dimensionless and allows comparisons across institutions and countries, regardless of absolute staffing levels.
5.6. Limitations
The reference value of the LTCF and the activity parameters are estimates that have not yet been empirically validated; the results should therefore be read as scenario analyses rather than measurements. The LTCF is likely to vary between institutions, depending on building layout, security procedures and the availability of custodial staff, and may change over time. The estimate of external demand relies on national rates from 2019. The model quantifies the LTCF for nursing care, where its effect is greatest; extension to medical and specialist activities requires dedicated measurements. The proposed protocol is designed to overcome these limitations, and its application across several institutions would make it possible to establish national reference values. Such a programme would also address the fragmentation of research in penitentiary medicine and, by providing objective workload data, help counter the low attractiveness of the discipline and the high turnover of prison physicians, aggravated by the lack of structured training pathways [37].
6. Conclusions
The Logistic–Temporal Correction Factor makes explicit that, under the special detention regime, the time of care does not coincide with clinical time, and that resources sized on ordinary standards are systematically insufficient. It provides those who manage and fund services with a measurable, verifiable and updatable parameter; expert witnesses and courts with an objective reference on the adequacy of the healthcare organization; and the system as a whole with a tool to work inside to the fullest extent, reserving exits for clinically indispensable cases. Its systematic measurement in high-security settings is the necessary next step.
Author Contributions
G.D.M.: conceptualization (including the original concept of the Logistic–Temporal Correction Factor), methodology, formal analysis, writing—original draft preparation, writing—review and editing. The author has read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Institutional Review Board Statement
Not applicable: this study did not involve humans or personal data. The measurement protocol described in Section 3.5 will require approval by the competent ethics committee when implemented.
Informed Consent Statement
Not applicable.
Data Availability Statement
All model parameters are reported in the text. The spreadsheet and the script implementing the model are available from the author on request.
Acknowledgments
During the preparation of this manuscript, the author used Claude (Anthropic) to support literature searching, model calculations, drafting and translation. The author has reviewed and edited the output and takes full responsibility for the content of this publication.
Conflicts of Interest
The author serves as Guest Editor of a Special Issue of Healthcare (MDPI) on prison health. The author declares no other conflicts of interest.
Abbreviations
The following abbreviations are used in this manuscript:
| FCLT | Fattore Correttivo Logistico-Temporale |
| FTE | full-time equivalent |
| GOM | Gruppo Operativo Mobile (Mobile Operational Group) |
| LTCF | Logistic–Temporal Correction Factor |
| NHS | National Health Service |
| SAI | Servizio di Assistenza Intensificata (Intensive Assistance Service) |
| TDABC | time-driven activity-based costing. |
References
- United Nations General Assembly. United Nations Standard Minimum Rules for the Treatment of Prisoners (the Nelson Mandela Rules); A/RES/70/175; United Nations: New York, NY, USA, 2015. [Google Scholar]
- Council of Europe. Recommendation Rec(2006)2-rev of the Committee of Ministers to Member States on the European Prison Rules; Council of Europe.: Strasbourg, France, 2020. [Google Scholar]
- Enggist, S.; Møller, L.; Galea, G.; Udesen, C. (Eds.) Prisons and Health; WHO Regional Office for Europe: Copenhagen, Denmark, 2014. [Google Scholar]
- Fazel, S.; Baillargeon, J. The health of prisoners. Lancet 2011, 377, 956–965. [Google Scholar] [CrossRef] [PubMed]
- Gaetano, R.; Carbone, E.A.; Pitone, V.; Sacco, M.; de Filippis, R.; Pugliese, V.; Bruno, F.; De Fazio, P.; Di Mizio, G. Psychiatric diagnosis at prison admission: clinical and socio-demographic characteristics of newly admitted inmates. Healthcare 2026. [Google Scholar] [CrossRef]
- Italian Republic. Legislative Decree No. 230 of 22 June 1999. Riordino della medicina penitenziaria [Reorganization of penitentiary medicine]. Gazz. Uff. 1999, No. 165. [Google Scholar]
- Italian Republic. Decree of the President of the Council of Ministers of 1 April 2008. Modalità e criteri per il trasferimento al Servizio sanitario nazionale delle funzioni sanitarie in materia di sanità penitenziaria [Transfer of penitentiary healthcare functions to the National Health Service]. In Gazzetta Ufficiale; 30 May 2008; No. 126. [Google Scholar]
- Bolcato, M.; Fiore, V.; Casella, F.; Babudieri, S.; Lucania, L.; Di Mizio, G. Health in Prison: Does Penitentiary Medicine in Italy Still Exist? Healthcare 2021, 9, 1511. [Google Scholar] [CrossRef] [PubMed]
- Di Mizio, G.; Bruno, F.; Pugliese, V.; Iozzo, L.; Cundò, G.; Gaetano, R.; Barbieri, V.; Maio, R.; Gallelli, L. Redesigning Prison Healthcare: Operational Insights and Leadership Lessons from a Correctional Medical Center. Healthcare 2026. [Google Scholar]
- Conferenza Unificata. Agreement Rep. Atti No. 3/CU of 22 January 2015. Linee guida in materia di modalità di erogazione dell’assistenza sanitaria negli istituti penitenziari per adulti; implementazione delle reti sanitarie regionali e nazionali [Guidelines on healthcare delivery in adult prisons and on regional and national healthcare networks]. Gazz. Uff. 2015, No. 64. [Google Scholar]
- Italian Republic. Norme sull’ordinamento penitenziario e sulla esecuzione delle misure privative e limitative della libertà [Penitentiary Act]. Law No. 354 of 26 July 1975; Gazzetta Ufficiale No. 212. 9 August 1975. [Google Scholar]
- Garante Nazionale dei Diritti delle Persone Private della Libertà Personale. Rapporto sul Regime Speciale ex art. 41-bis, comma 2, o.p. [Report on the Special Regime under Article 41-bis(2) of the Penitentiary Act]; Garante Nazionale: Rome, Italy, 2023. [Google Scholar]
- Miravalle, M. 41-bis e Alta sicurezza [41-bis and High Security]. In Il Carcere al Tempo del Coronavirus. XVI Rapporto di Antigone sulle Condizioni di Detenzione; Associazione Antigone: Rome, Italy, 2020. [Google Scholar]
- Williams, B.A.; Stern, M.F.; Mellow, J.; Safer, M.; Greifinger, R.B. Aging in correctional custody: setting a policy agenda for older prisoner health care. Am. J. Public Health 2012, 102, 1475–1481. [Google Scholar] [CrossRef] [PubMed]
- Haney, C. Restricting the use of solitary confinement. Annu. Rev. Criminol. 2018, 1, 285–310. [Google Scholar] [CrossRef]
- Kaba, F.; Lewis, A.; Glowa-Kollisch, S.; Hadler, J.; Lee, D.; Alper, H.; Selling, D.; MacDonald, R.; Solimo, A.; Parsons, A.; et al. Solitary confinement and risk of self-harm among jail inmates. Am. J. Public Health 2014, 104, 442–447. [Google Scholar] [CrossRef] [PubMed]
- Stato-Regioni, Conferenza. Agreement Rep. Atti No. 267/CSR of 21 December 2022; Metodologia per la determinazione del fabbisogno di personale del Servizio sanitario nazionale [Methodology for determining staffing requirements in the National Health Service].
- Italian Constitutional Court. Judgment No. 186 of 2018. ECLI:IT:COST:2018:186.
- Italian Constitutional Court. Judgment No. 97 of 2020. ECLI:IT:COST:2020:97.
- Judgment No. 27766 of; Italian Court of Cassation, First Criminal Section. 5 June 2017.
- Italian Constitutional Court. Judgment No. 99 of 19 April 2019. ECLI:IT:COST:2019:99.
- Italian Constitutional Court. Judgment No. 245 of 2020. ECLI:IT:COST:2020:245.
- European Court of Human Rights. Application No. 55080/13; Provenzano v. Italy. Judgment of 25 October 2018.
- European Court of Human Rights. Application No. 2447/05; Cara-Damiani v. Italy. Judgment of 7 February 2012.
- European Court of Human Rights. Application No. 23710/24; Pelle v. Italy. Judgment of 21 May 2026.
- Unione delle Camere Penali Italiane; Osservatorio Carcere. Relazione sulla Visita alla Casa di Reclusione di Parma [Report on the Visit to Parma Prison]; UCPI: Rome, Italy, 2024. [Google Scholar]
- Kaplan, R.S.; Anderson, S.R. Time-driven activity-based costing. Harv. Bus. Rev. 2004, 82, 131–138. [Google Scholar] [PubMed]
- Kaplan, R.S.; Porter, M.E. How to solve the cost crisis in health care. Harv. Bus. Rev. 2011, 89, 46–52. [Google Scholar] [PubMed]
- Keel, G.; Savage, C.; Rafiq, M.; Mazzocato, P. Time-driven activity-based costing in health care: a systematic review of the literature. Health Policy 2017, 121, 755–763. [Google Scholar] [CrossRef] [PubMed]
- Zheng, K.; Guo, M.H.; Hanauer, D.A. Using the time and motion method to study clinical work processes and workflow: methodological inconsistencies and a call for standardized research. J. Am. Med. Inform. Assoc. 2011, 18, 704–710. [Google Scholar] [CrossRef] [PubMed]
- Westbrook, J.I.; Ampt, A. Design, application and testing of the Work Observation Method by Activity Timing (WOMBAT) to measure clinicians’ patterns of work and communication. Int. J. Med. Inform. 2009, 78 (Suppl. 1), S25–S33. [Google Scholar] [CrossRef] [PubMed]
- Italian Ministry of Health. Decree No. 77 of 23 May 2022. Regolamento recante la definizione di modelli e standard per lo sviluppo dell’assistenza territoriale nel Servizio sanitario nazionale [Models and standards for community care in the National Health Service]. Gazz. Uff. 2022, No. 144. [Google Scholar]
- Virginia Department of Corrections. Report Document RD928 on Security Staffing and Shift Relief Factors; Virginia Department of Corrections: Richmond, VA, USA, 2024. [Google Scholar]
- Martin, J.; Panagopoulos, A. Patient escort’s impact on access to care. In Inside Correctional Health; American Jails, December 2022. [Google Scholar]
- Cai, X.; Moore, E.; McNamara, M. Designing an activity-based costing model for a non-admitted prisoner healthcare setting. Aust. Health Rev. 2013, 37, 418–422. [Google Scholar] [CrossRef] [PubMed]
- Piedmont Region. Aggiornamento della rete dei servizi sanitari in ambito penitenziario [Update of the network of penitentiary healthcare services]. Regional Government Resolution No. 16-3503 of 9 July 2021; Bollettino Ufficiale della Regione Piemonte No. 29. 2021. [Google Scholar]
- Di Mizio, G. Penitentiary Medicine Education in Italy: Medical Training and Scientific Research Perspectives. Healthcare 2026. [Google Scholar] [CrossRef]
Table 1.
Parameters of nursing activities in the detention units (working assumptions).
| Activity | Proportion (q) | Frequency/day (f) | Standard time (t, min) | Hours/day with LTCF = 1 |
| Medication administration | 65% | 2 | 2 | 11.1 |
| Vital signs and chronic disease monitoring | 30% | 1 | 5 | 6.4 |
| Wound care and procedures | 5% | 1 | 15 | 3.2 |
| Support to medical and specialist visits | 10% | 1 | 10 | 4.3 |
| Blood sampling | 3% | 1 | 10 | 1.3 |
| Emergencies and calls | 2% | 1 | 20 | 1.7 |
Direct daily hours for a total population of 255, excluding indirect activities.
Table 2.
Nursing requirements of the detention units by LTCF value.
| LTCF | Hours/day (incl. indirect) | Nurses on duty 07–21 | FTE (incl. night) | Change vs. LTCF = 1 |
| 1.0 | 34.8 | 2.5 | 10.9 | — |
| 1.5 | 49.1 | 3.5 | 14.4 | +32% |
| 2.0 | 63.5 | 4.5 | 17.9 | +64% |
| 2.5 | 77.8 | 5.6 | 21.4 | +96% |
| 3.0 (reference) | 92.1 | 6.6 | 24.8 | +128% |
Population: 210 people under 41-bis and 45 medium-security inmates (LTCF = 1). Annual available hours per FTE: 1500.
Table 3.
Proposed overall staffing (start-up scenario, LTCF = 2.0).
| Role | FTE | Basis of calculation |
| Physician in charge of the SAI | 1.0 | Weekday daytime presence |
| On-call physicians (institution and SAI) | 5.7 | 24/7 coverage, 8760 h/year |
| Day physician for units and outpatient clinic | 2.8 | 12 h/day, 7 days a week |
| SAI nurses | 5.8 | One nurse 24/7, fixed component |
| Detention unit nurses | 17.9 | Equations (2)–(3); 24.8 with LTCF = 3 |
| Nurse coordinator | 1.0 | Weekday presence |
| Healthcare assistants | 3.4–5.8 | 14 h or 24/7 coverage |
| Psychiatrists | 2.0 | Daily presence |
| Psychologists | 3.0 | Full-time, dedicated |
| Physiatrist and physiotherapists | 1.0 + 2.0 | Rehabilitation in the SAI and the units |
Table 4.
Estimated annual external health events in the absence of a SAI.
| People under 41-bis | Health-related transfers | Guarded admissions | Guarded inpatient days |
| 200 | ≈300 | ≈26 | ≈261 |
| 210 | ≈314 | ≈28 | ≈274 |
| 220 | ≈329 | ≈29 | ≈287 |
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