| Literature DB >> 29921680 |
Mary Halter1, Carly Wheeler1, Ferruccio Pelone2, Heather Gage3, Simon de Lusignan4, Jim Parle5, Robert Grant1, Jonathan Gabe6, Laura Nice5, Vari M Drennan1.
Abstract
OBJECTIVE: To appraise and synthesise research on the impact of physician assistants/associates (PA) in secondary care, specifically acute internal medicine, care of the elderly, emergency medicine, trauma and orthopaedics, and mental health.Entities:
Keywords: general medicine (see internal medicine); physician assistant; quality in health care
Mesh:
Year: 2018 PMID: 29921680 PMCID: PMC6020983 DOI: 10.1136/bmjopen-2017-019573
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Figure 1‘Risk of bias’ graph: review authors’ judgements about each risk of bias item presented as percentages across all included studies.
Figure 2Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) flow chart. PA, physician assistant/associate.
Characteristics of studies included in full—studies presenting comparisons of PAs with other healthcare professionals
| Specialty | Aim(s) | Study setting | Intervention | Comparison | Participants | Study design | Outcome measures | First author and year |
| Emergency medicine | To determine whether PAs are an appropriate option for providing services rendered by physicians in the ED | USA | PAs (n=5) rotate through the ED. PAs work solo from 08:00 to 12:00. No written diagnostic or therapeutic guidelines were followed. | 25 physicians rotate through the ED. Physicians work solo from 17:00 to 21:00. No written diagnostic or therapeutic guidelines were followed. | n=5345 (seen by PAs) | Comparative retrospective |
Length of visit Total charge | Arnopolin |
| Emergency medicine | To examine the impact of PAs and nurse practitioners in EDs | Canada | PAs were introduced as an unregulated provider without medical directives and worked under the supervision of a registered physician who was responsible for all patient care on predetermined busiest periods for each ED. | Baseline 2 weeks | All ED patients: | Descriptive retrospective |
Leaving without being seen Wait time (triage to initial assessment) Length of stay in ED | Ducharme (2009) |
| Emergency medicine | To understand trends in emergency medicine and interprofessional roles in delivering this care […] The focus was on how doctors, PAs and nurse practitioners share emergency medicine visits. | USA | PAs as providers of ED care and prescribers of medication in emergency medicine (7.9% of patients seen by PAs in 2004). | Physicians and nurse practitioners | Random sample of patient visits to hospital EDs (n=1 034 758 313), 1995–2004 | Longitudinal |
Proportion of visits in which medications are prescribed Mean number of prescriptions written per visit Non-narcotic analgesic prescriptions Narcotic analgesic/NSAID prescription by type of provider Patient contact growth by provider | Hooker |
| Emergency medicine | To compare the analgesic practices of emergency physicians with that of PAs | USA | PAs were deployed for seeing patients presenting at the ED with isolated lower extremity trauma. PAs work closely with emergency physicians in the Prompt Care Area of the ED. | Emergency physicians | n=384 survey respondents of patients of all ages who presented at the ED with an isolated lower extremity injury evaluated with a foot or ankle radiograph, n=227 PA patients, n=153 emergency physician patients in a 9-week period | Prospective cohort |
Analgesia prescribing | Kozlowski (2002) |
| Emergency medicine | To evaluate PAs’ management of paediatric patients in a general ED through examination of the 72 hours’ recidivism rates of their younger paediatric patients | USA | PAs evaluate, treat and discharge patients of any age independent of emergency physicians and PAs treating patients with consult from the emergency physician. | Attending emergency physician only | n=2798 PA only cases; n=984 PA with emergency physician; n=6587 emergency physician only | Comparative retrospective |
72-hour revisits to the ED | Pavlik |
| Emergency medicine | To compare the quality of ED pain management before and after implementation of the Joint Commission on the Accreditation of Healthcare Organizations’ standards in 2001 | USA | The use of PAs in the care of patients presenting to the ED with a long bone fracture. | Patients presenting to the ED with a long bone fracture not seen by PAs (medical residents, internists) | n=2064 | Retrospective cohort |
Proportion of patients with long bone fracture receiving analgesia | Ritsema |
| Emergency medicine | To compare the wound care practices and infection rates of wounds managed in the ED by practitioners with varying levels of medical training | USA | All patients with lacerations were evaluated by an attending physician who determined whether wound could be managed by a junior practitioner (PAs, students, interns, and residents). | ED patients whose wounds were managed by other providers (students, interns and residents) | All patients with lacerations attending the ED n=1163, n=901 seen by a PA, n=262 by other providers October 1992 to November 1993 | Prospective observational |
Patient wound infection rate | Singer (1995) |
| Trauma and orthopaedics | To define the clinical and financial impact of hospital-based PAs on orthopaedic trauma care at a level II community hospital | USA | Hospital-employed PAs (n=2) were used to cover all orthopaedic trauma needs, under the supervision of one of 18 orthopaedic surgeons. Each PA performed 12-hour day shifts for 3 consecutive days, January to December 2007. PAs on call carried trauma pagers and reported to the emergency room as soon as possible. | Attending surgeon as the primary orthopaedic responder for emergency department consults | n=1104 n=310: PA n=687: no PA | Comparative retrospective |
Triage time to time seen by orthopaedic service in emergency department (min) Triage time to time of surgery (min) Operating room complication rates (%) The use of deep vein thrombosis prophylaxis (%) Postoperative antibiotic administration (%) Postoperative complications (%) Triage time to out of emergency department (min) Operating room set-up time (min) Average operating room time (min) Time from wound closure to wheels out (operating room) (min) Hospital length of stay (min) Cost savings (emergency department) ($) Cost savings (operating room) ($) | Althausen (2013) |
| Trauma and orthopaedics | To describe the effect of PAs working in an arthroplasty practice from the perspective of patients and healthcare providers | Canada | Addition of PAs (n=3) to the operating room team. The PAs were added to the team, replacing surgical assists (usually general practitioners). The PAs took first call with their supervising physician, provided first-assist services in the operating room (OR), write postoperative tests/investigations, generate operative notes, undertake daily working rounds and complete discharge summaries. | • Costs: GP first assists in the operating room | Sample size varying by outcome: | Mixed methods |
Patient satisfaction Perceptions of PAs among healthcare providers and patients Costs Time savings Waiting times Throughput | Bohm |
| Trauma and orthopaedics | To assess whether the type of provider (attending physician vs PA) or number of providers involved in the non-operative management of a paediatric forearm fracture influenced the risk of that fracture healing as a malunion | USA | PAs carrying out non-operative management of forearm fractures at orthopaedic clinic visits. | Attending physician | Patient charts of those aged 3–17 years seen at the orthopaedics department February 2012 to January 2013 n=141 | Comparative retrospective |
Fracture malunion (maximum angulation criteria) at last clinic visit | Garrison |
| Trauma and orthopaedics | To describe the role of the PA in the upper extremity surgical programme; describe the role of the PA in an operating room study; and show the impact of the PA role on patients, providers and the system | Canada | One PA filling provider gaps in four areas: preoperative patient screening, assisting in operating room care (including a double-room experiment), aiding in aftercare of surgery and attending to postdischarge follow-up care. | Preoperative—surgeon working alone; operating room—team with surgical assistant or role unfilled and single operating room; surgery aftercare—replacing a postunfilled surgical extender; postdischarge—surgeon only | n=38 interviews; n=75 surveys (n=28 from healthcare providers and 47 from patients) | Mixed methods |
Perceptions and experiences with the PA Patient rating of quality of care Expected and actual operating room times Total new patients seen | Hepp |
| Trauma and orthopaedics | To assess whether staffing changes within a level 1 trauma centre improved mortality and shortened hospital and ICU length of stay for patients with trauma | USA | Core trauma panel (consisting of full-time, in-house trauma surgeons) and PAs | Group 1: general surgery residents (staffed by full-time, in-house postgraduate year 4 general surgery residents with attending back-up from home, followed by a transition to a trauma service staffed with in-house independent general surgeon attendings); group 2: core trauma panel (consisting of full-time, in-house trauma surgeons, without PAs or residents) | n=15 297 | Prospective cohort |
Overall mortality Mortality for patients with injury severity score (ISS)>15 Hospital LOS | Mains |
| Trauma and orthopaedics | To analyse patient outcomes and efficiency of care provided for trauma patients during transition from resident physician support to PA support | USA | PAs substituting for doctors in trauma alerts: PA’s role was to assist the trauma surgeon at trauma alerts and trauma patient rounds, update the trauma patient census list. | General and orthopaedic residents who attend in trauma alerts | n=293 before | Before-after |
Collaborative relationship Transfer time LOS Mortality rate | Oswanski (2004) |
| Internal medicine | To compare outcomes directly from the expanded use of PAs with those of a hospitalist group staffed with a greater proportion of attending physicians at the same hospital during the same time | USA | Expanded PA group: used three physicians and three PAs daily for ward rounds with PAs expected to see 14 patients daily plus one more PA responsible for day shift admissions. PAs worked in dyads with ward round physician; PAs discussed the treatment plans at least once a day with the physician to a written protocol for PA-physician dyad expectations. | Conventional group: used nine physicians and two PAs for rounding, with PAs expected to see nine patients daily, plus day shift admissions by the physician. PAs worked in dyads with ward round physician; PAs discussed the treatment plans at least once a day with the physician. No written protocol for PA-physician dyad expectations. | Patients discharged between January 2012 and June 2013; n=6612 expanded PA group and n=10 352 in the conventional group | Retrospective comparative |
30-day all-cause readmission Inpatient mortality Cost of care Consultant/attending use Length of stay | Capstack |
| Internal medicine | To examine and compare costs, between a PA service and an intern/resident (teaching) service in the provision of inpatient care for five high-volume internal medicine diagnostic-related groups | USA | The use of PAs (n=16) in the provision of care within internal medicine department (64 attending physicians on rotation coverage, scheduled to admit to either a PA or teaching service, with group assignment determined 1 year in advance). | The teaching service (32 interns/residents with an average experience of 1-year postmedical school) | Adult patients discharged in the following diagnostic-related groups: cerebrovascular accident/stroke, pneumonia, acute myocardial infarction discharged alive, congestive heart failure, gastrointestinal haemorrhage: n=923, of which n=409 PA and n=514 teaching service | Prospective cohort study |
Relative value units (costs) Length of stay | Van Rhee (2002) |
| Mental health | To examine the role of PAs in the care of patients with severe and persistent mental illness | Canada | A PA was hired to assist with intake psychiatric assessments, physical examinations, preventive care, and follow-up of psychiatric and medical complaints in a model of PA supervised by a psychiatrist. | No comparison | Assertive community treatment team members (three social workers, one psychiatrist, two psychiatric nurses, one occupational therapist, one recreational therapist, the PA) | Qualitative interview |
Perceived effect and challenges of delivering psychiatric care with the PA model | McCutchen |
ED, emergency department; ICU, intensive care unit; LOS, length of stay; NSAID, non-steroidal anti-inflammatory drug; PA, physician assistant/associate.
Main findings of included studies
| Specialty | Outcome measures | Finding(s) | Quality score | Key limitations | Study details |
| Emergency medicine | Length of visit (LOV) | Small but clinically insignificant differences (regression coefficient −8): LOV was 8 min longer when patients were treated by a PA (mean 82 min) than a physician (mean 75 min) (95% CI −10 to −6, p<0.001), although difference ranged from 5 to 32 min dependent on patient condition | 82% |
Not randomised Differences by patient condition not explained Limited control for confounders | Arnopolin and Smithline |
| Total charge | Mean total charge was $159 when patients were treated by a PA and $164 by a physician (95% CI 2 to 14, p=0.013), regression coefficient −8 | ||||
| Emergency medicine | Leaving without being seen | Absolute improvement (not controlling for hospital or acuity) from 6.5% to 4.9%; when a PA was on duty, the likelihood that a patient left without being seen was less than half (44% (95% CI 31% to 63%), p<0.01), controlling for hospital and patient acuity | 73% |
2 months’ data Sample size unclear | Ducharme |
| Wait time (triage to initial assessment) | When a PA was involved in patient care, the odds of the patient being seen within the benchmark wait time was 1.6 times greater than when the PA was not involved (95% CI 1.3 to 2.1), p<0.05, adjusting for hospital, acuity and time of day | ||||
| LOS in ED | When a PA was involved in patient care, the LOS in the ED was shorter (mean: 262.4 min vs 182.9 min) than when a PA was not present (30.3%; 95% CI 21.6% to 39%), p<0.01 | ||||
| Emergency medicine | Proportion of visits in which medications are prescribed | Significant differences were observed between PAs if compared with physicians and to NPs in the proportion of visits in which medication was prescribed: PAs 77.9%, physicians 75.5%, nurse practitioners 75.4% (p=0.001) | 73% |
Secondary data analysis No adjustment Treatment outcomes/appropriateness not assessed | Hooker |
| Mean number of prescriptions written per visit | There were no significant differences among the three providers in mean number of prescriptions per visit (PA and physician 1.7, nurse practitioner 1.6). | ||||
| Non-narcotic analgesic prescriptions | There were no significant differences among the three providers in the frequency of prescribing non-narcotic analgesics (p=0.16). | ||||
| Narcotic analgesic/NSAID prescription by type of provider | There were no significant differences among the three prescribers in the frequency of narcotic analgesics or NSAIDs recorded (p=0.15 and p=0.06, respectively). | ||||
| Emergency medicine | Analgesia prescribing | Emergency physicians gave some form of ED analgesia to 29% of patients, as compared with 10% of patients seen by PAs (OR 3.58; 95% CI 2.05 to 6.24), adjusting for sex, reported degree of pain and fracture. | 92% |
Dependent on patient recall | Kozlowski |
| Emergency medicine | 72-hour revisits to the ED | Patients treated only by PAs had significantly lower return rates (6.8%) than for the PA/emergency physician combined group (9.3%) and the emergency physician only group (8.0%), p=0.03. | 77% |
No adjustment for significant differences in patient age, admission rate or patient complexity | Pavlik |
| Emergency medicine | Proportion of patients with long bone fracture receiving analgesia | Patients seen by PAs had more than twice the odds of receiving opiates/narcotics (OR 2.05%; 95% CI 1.24 to 3.29) and were more likely to receive other analgesics (OR 1.72%; 95% CI 0.94 to 3.17) compared with those not seen by PAs | 100% |
Changes in workload and documentation could have confounded results | Ritsema |
| Emergency medicine | Patient wound infection rate | There were no significant differences in wound infection rates by practitioner level of training (medical students, 0/60 (0%); all residents, 17/547 (3.1%); physician assistants, 11/305 (3.6%); and attending physicians, 14/251 (5.6%); p=0.14). | 67% |
Hawthorne effect Differences in wounds not controlled for | Singer |
| Trauma and orthopaedics | Triage time to time seen by orthopaedic service (emergency department) (min) | PA presence resulted in a 205 min faster orthopaedic service response time (366 min vs 571 min; p=0.0006). | 91% |
Exact cost savings difficult to determine Did not have a way of calculating savings for the time it took for patients to reach the OR from the time of triage Single site with two PAs | Althausen |
| Triage time to time of surgery (ER) (min) | PA presence resulted in a 360 min improvement in time to surgery (1139 min vs 1499 min; p=0.03). | ||||
| Operating room complication rates (%) | There was no significant difference in the proportion of operating room complications with or without PAs (both 0.65%; p=0.9972). | ||||
| The use of deep vein thrombosis prophylaxis (%) | The use of deep vein thrombosis prophylaxis increased by a mean of 6.73 percentage points (60.69% vs 53.96%; p=0.0084) with PA presence. | ||||
| Postoperative antibiotic administration (%) | Postoperative antibiotic administration increased by 2.88 percentage points with PA presence (94.35% vs 91.47%; p=0.0302). | ||||
| Postoperative complications (%) | There was a 4.67 percentage points decrease in postoperative complications with PA presence (8.16% vs 12.83%; p=0.0034). | ||||
| Triage time to out of emergency department (min) | There was a 176 min decrease in total ER time with PA presence (270 min vs 446 min; p<0.001). | ||||
| Operating room set-up time (min) | There was a marginally improved operating room set-up time by 0.43 min with PA presence (26.6 min vs 24 min; p=0.0034). | ||||
| Time from wound closure to wheels out (operating room) (min) | There was no significant difference for this outcome when the PA was present (7.8 min vs 7.6 min; p=0.5914). | ||||
| Average operating room time (min) | There was no significant difference in the average operating room time when the PA was present (70 min vs 74 min; p=0.44). | ||||
| Cost savings (emergency department) ($) | Based on 50% collection of PA charges and emergency department time savings, per orthopaedic trauma patient seen, PAs saved the hospital $133.53 per patient, resulting in $41 394 in 1 year (310 patients). | ||||
| Cost savings (operating room) ($) | The presence of a PA in the operating room resulted in savings of $3207 based on operating room costs (only set-up time was decreased with presence of the PA). | ||||
| Hospital length of stay (days) | There was no significant difference in the hospital LOS when the PA was present if compared with the presence and the absence of PAs (7.96 days vs 8.57 days; p=0.2662). | ||||
| Trauma and orthopaedics | Patient satisfaction | 91.3% of hip patients (total=626, 58.5% response) reported being satisfied or very satisfied and 87.7% of knee patients reported being satisfied or very satisfied with PAs at 1-year follow-up (after surgery) | 32% |
Methods are not fully described, for example, no description of data analysis Sample is not described Is this a study about PAs or about the two-room operating model? Patient satisfaction with the surgery at 1 year cannot be attributed to the PA | Bohm |
| Perceptions of healthcare providers and patients about PAs | Patients: overall patients expressed very positive opinions of PAs who were helpful in providing information and explaining aspects of their care. | ||||
| Costs | The cost of employing three PAs in 2006 (between $270 000 and $327 000) was found to be similar to the foregone general practitioner (GP) surgical assist fees of $270 226.88. | ||||
| Time savings | PAs were found to ‘free up’ 204 hours/year (the equivalent of four 50 hours’ work weeks) for their supervising physician (p=not reported). Furthermore, they potentially freed GPs from the operating room to spend more time delivering primary care. | ||||
| Throughput | Increased the volume from three to seven primary joint surgeries per day through the use of double rooms in 2006. | ||||
| Waiting time | Median wait time for surgery decreased from 44 to 30 weeks. | ||||
| Trauma and orthopaedics | Fracture malunion (maximum angulation criteria) at last clinic visit | Likelihood of malunion did not differ significantly if the providers included a PA or not (28% vs 56%, Fisher’s exact test p=0.13) or by number of PAs (p=0.11). | 82% |
Unadjusted comparisons Difficult to assess how much of the care was carried out by PAs (analysis is cases with any PA involvement vs cases with no PA involvement) | Garrison |
| Trauma and orthopaedics |
Perceptions and experiences with the PA |
Preoperative care: PA triages, conducts most activities without direct supervision. Operating room: PAs’ integration into the OR went well; staff appreciate consistency of the PA; PA acquired skills in a graduated manner—now ‘preps and closes with patients in OR’. Postoperative care: takes on some of surgical extender role but the role is missed after hours; PA sees 60%–70% of all inpatients, freeing up the surgeon; full integration limited by needs for cosignature and verification of orders. Follow-up outpatient care: clinic flow improved. PA is a collaborative member of the team (most mean ratings >4 out of 5. | 55% |
Unable to ascertain which data are descriptive quantitative or gained from qualitative interviews | Hepp |
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Patient rating of quality of care | All patients responded positively to the PA role; overall rating of PA care of 9.65 of 10. | ||||
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Expected and actual operating room times | Double-room experiment: actual preparation time 39% longer than expected and postsurgery time 37% less than expected (absolute times not given) surgeon time 21% less; 2 hours/day saving | ||||
| Total new patients seen | Preoperative care: 30% increase in numbers of patients seen, noticed in the first year | ||||
| Trauma and orthopaedics | Overall mortality | The introduction of PAs to the core trauma panel (group 3 vs group 2) decreased overall mortality (2.80% vs 3.76%, adjusted OR 0.74 (95% CI 0.55 to 0.99), p=0.05). Furthermore, the introduction of PAs to general surgery residents (group 3 vs group 1) decreased overall mortality (2.32% vs 3.82%, adjusted OR 0.6 (95% CI 0.45 to 0.81), p=0.003). | 100% |
Not all the covariates which could be significantly associated with outcomes were collected (eg, changes in care). The group 1 period was characterised by a transition from on-call attending surgeons to in-house surgeons and the outcomes may not be homogenous across the study period. Other changes were made, not just individual staff type. | Mains |
| Hospital LOS | The introduction of PAs to the core trauma panel (group 3 vs group 2) reduced mean and median hospital LOS (4.32 days vs 4.69 days, p=0.05; and 3.74 days vs 3.88 days, p=0.02, respectively). As well, the introduction of PAs to general surgery residents (group 3 vs group 1) reduced mean and median hospital LOS (4.32 days vs 4.62 days, p=0.05; and 3.74 days vs 3.94 days, p=0.003, respectively). | ||||
| Trauma and orthopaedics | Collaborative relationship | Participation during trauma alert calls: PA 100%; resident 51% overall, 88% during on-duty hours. Involvement in minor procedures PA 100% when residents off-duty, 91% overall; resident 95% during on-duty hours, 83% overall. | 82% |
Investigators not blinded and all work in the trauma centre investigated No sample size calculation Single site with two PAs Minimal description of data collection method | Oswanski |
| Transfer time | After controlling for age, gender, race and severity of illness, there was no significant difference in the mean transfer rate overall or for any subpopulation (destination) between years 1998 and 1999. | ||||
| LOS | After controlling for age, gender, race and severity of injury, there was no significant difference in the mean LOS overall between years 1998 and 1999. | ||||
| Mortality rate | Mortality rate for all patients admitted to the trauma service was 2.2% for both 1998 (8/293) and 1999 (13/479). | ||||
| Internal medicine | 30-day all-cause readmission | No statistically significant difference in odds of readmission between expanded PA (14%) and conventional PA (13.7%) groups (OR 0.95; 95% CI 0.87 to 1.04; p=0.27) | 91% |
Non-randomised patient allocation Use of secondary data Readmission to the same hospital only | Capstack |
| Inpatient mortality | No statistically significant difference in odds of mortality between expanded PA (1.3%) and conventional PA (0.99%) groups (OR 0.89; 95% CI 0.66 to 1.19; p=0.42) | ||||
| Cost of care | Statistically significant difference in mean patient charge between expanded PA ($7822) and conventional PA ($7755) groups (3.52% lower; 95% CI 2.66% to 4.39%; p<0.001) | ||||
| Consultant use | No statistically significant difference in utilisation of consultants between expanded PA (1.3%) and conventional PA (0.99%) groups (OR 1.0; 95% CI 0.94 to 1.07; p=0.90) | ||||
| Length of stay | No statistically significant difference in length of stay between expanded PA (4.1±3.9 days) and conventional PA (4.3±5.6 days) groups (effect size, 0.99 days shorter; 95% CI 0.97 to 1.01 days; p=0.90) | ||||
| Internal medicine | Relative value units (RVU; ie, costs) | (1) Radiology RVUs: there were no statistically significant differences between PAs and residents; (2) total RVUs (excluding pharmacy data): PAs used significantly fewer resources when compared with resident services for pneumonia care (p=0.004), although had a higher mortality rate (% and p value not reported). For all other diagnoses there were no statistically significant differences in total RVUs between PAs and residents; (3) laboratory RVUs: there were statistically significant differences between PAs and residents in laboratory relative value units for stroke (p=0.015), pneumonia (p=0.003) and CHF (p=0.004). In each case, PAs’ RVUs were lower than those of residents. | 86% |
RVU figures are not explained Non-random group assignment Single centre | Van Rhee |
| Length of stay (LOS) | There were no significant differences in LOS between PAs and residents after adjusting for admitting physician effect and other covariates. | ||||
| Mental health | Perceived effect and challenges of delivering psychiatric care with the PA model | Participants described: improved access to primary care for patients; more timely access to psychiatric appointments and longer appointments; equal team cohesion for the PA or the psychiatrist; decreased wait times and improved access to tertiary care and screening programmes; and implementation challenges of triage hierarchy and patient understanding of the term physician assistant | 45% |
Qualitative analysis methods described without detail Short report with overview of themes; no quotations | McCutchen |
CHF, congestive heart failure; ED, emergency department; ER, emergency room; GP, general practitioner; NP, nurse practitioner; NSAID, non-steroidal anti-inflammatory drug; PA, physician assistant/associate.