Over recent decades, numerous medical procedures have migrated out of hospitals and into freestanding ambulatory surgery centers (ASCs) and physician offices, with possible implications for patient outcomes. In response, states have passed regulations for office-based surgeries, private organizations have established standards for facility accreditation, and professional associations have developed clinical guidelines. While abortions have been performed in office setting for decades, states have also enacted laws requiring that facilities that perform abortions meet specific requirements. The extent to which facility requirements have an impact on patient outcomes—for any procedure—is unclear.
Methods and findings
We conducted a systematic review to examine the effect of outpatient facility type (ASC vs. office) and specific facility characteristics (e.g., facility accreditation, emergency response protocols, clinician qualifications, physical plant characteristics, other policies) on patient safety, patient experience and service availability in non-hospital-affiliated outpatient settings. To identify relevant research, we searched databases of the published academic literature (PubMed, EMBASE, Web of Science) and websites of governmental and non-governmental organizations. Two investigators reviewed 3049 abstracts and full-text articles against inclusion/exclusion criteria and assessed the quality of 22 identified articles. Most studies were hampered by methodological challenges, with 12 of 22 not meeting minimum quality criteria. Of 10 studies included in the review, most (6) examined the effect of facility type on patient safety. Existing research appears to indicate no difference in patient safety for outpatient procedures performed in ASCs vs. physician offices. Research about specific facility characteristics is insufficient to draw conclusions.
More and higher quality research is needed to determine if there is a public health problem to be addressed through facility regulation and, if so, which facility characteristics may result in consistent improvements to patient safety while not adversely affecting patient experience or service availability.
Citation: Berglas NF, Battistelli MF, Nicholson WK, Sobota M, Urman RD, Roberts SCM (2018) The effect of facility characteristics on patient safety, patient experience, and service availability for procedures in non-hospital-affiliated outpatient settings: A systematic review. PLoS ONE 13(1): e0190975. https://doi.org/10.1371/journal.pone.0190975
Editor: Chiara Lazzeri, Azienda Ospedaliero Universitaria Careggi, ITALY
Received: September 1, 2017; Accepted: December 23, 2017; Published: January 5, 2018
Copyright: © 2018 Berglas et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: All relevant data are within the paper and its Supporting Information files.
Funding: This study was supported by a research grant from an anonymous private foundation (PI: Sarah C. M. Roberts, DrPH). The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. As such, the identity of the funder is not relevant to the editors’ or reviewers’ assessment of the validity of this work. The authors are not aware of any competing interests of the funder in relation to this work. None of the research costs or authors’ salaries were funded, in whole or in part, by a tobacco company.
Competing interests: Richard D. Urman serves as a co-founder of the Institute for Safety in Office-Based Surgery. The other authors have declared no competing interests exist. This does not alter the authors’ adherence to PLOS ONE policies on sharing data and materials.
The Institute of Medicine’s seminal reports, To Err is Human (1999) and Crossing the Quality Chasm (2002) brought national attention to concerns about patient safety in the health care system and led to efforts to study and improve safety across health care facility settings, primarily in hospitals [1, 2]. Around the same time, surgeries and procedures that had historically been performed solely in licensed hospitals transitioned to less resource intensive settings, including freestanding ambulatory surgery centers (ASCs), physician offices and clinics . As of 2006, an estimated 53 million surgical and nonsurgical procedures were performed annually on an outpatient basis . This migration of care raised important questions about patient safety and has led to efforts to study and improve patient experience in non-hospital health care settings as well. There has been increased attention to patient experience and outcomes in outpatient settings by academic researchers, professional associations, state legislatures, payors and private accrediting organizations.
Nonetheless, research on the effect of undergoing a procedure in a particular type of outpatient facility—ASC or physician office—has been limited. The question of differential risk by outpatient setting has primarily been raised within the field of cosmetic/plastic surgery, following public concerns about patient safety in offices in the 1990s and subsequent efforts to address concerns through state office-based surgery laws, facility accreditation, mandated reporting of adverse events, and quality improvement activities. The State of Florida’s adverse event registry, in particular, has been used by researchers to understand risk in physician offices [4–12]. Other researchers have used claims data to study differences in offices and ASCs, with particular attention to patient risk factors in each setting [13–15].
Since 2011, states have enacted an increasing number of laws that mandate specific requirements for the facilities in which abortions are performed . Supporters of these laws maintain that facility regulations make abortion safer, despite the fact that abortion has a well-documented patient safety record over 40 years that meets or exceeds those of other outpatient procedures [17–19]. Research indicates that the challenges of complying with these laws have resulted in facility closures, dramatically reducing the availability of safe abortion services .
In 2016, the U.S. Supreme Court ruled against a Texas law mandating that abortion be performed in facilities licensed as ASCs and by physicians with local hospital admitting privileges. In its decision, the Court held that laws regulating the provision of abortion are unconstitutional if the burdens they impose are not balanced by proportional benefits. It also instructed future courts considering challenges to such laws to carefully assess whether the law is based on credible evidence, rather than relying on speculation or the judgement of a state agency or legislature . This raises the critical question of what quality scientific evidence exists regarding the impact of facility requirements, both for abortion and other common outpatient procedures. To date, the methodological quality of the literature and the consistency of results across these studies have not been systematically assessed.
Purpose of the study
In this study, we conduct a systematic review to examine the effect of facility type (ASC vs. office/clinic) and specific facility characteristics (e.g., facility accreditation, emergency response protocols, clinician qualifications, physical plant characteristics, other facility policies) on patient outcomes for procedures commonly performed in non-hospital-affiliated outpatient settings. We examine patient safety outcomes, as well as those related to patient experience and availability of services. We aim to identify and consolidate the existing body of research across medical procedures, and then assess the quality of the research and the consistency of findings across studies.
Materials and methods
Scope of review
The aim of the systematic review is to examine the impact of facility type and specific facility characteristics on patient safety, patient experience and service availability. We sought to answer the following two research questions:
- Q1. What is the effect of facility type (ASC vs. office/clinic) on patient safety, patient experience and service availability for procedures in non-hospital-affiliated outpatient settings?
- Q2. What is the effect of specific facility characteristics on patient safety, patient experience and service availability for procedures in non-hospital-affiliated outpatient settings?
For the second research question, we identified various types of requirements governing facility operations that appear in many accreditation standards and state laws, including those generally applicable to office-based surgeries and those specifically intended to regulate abortion providers . We categorized these requirements according to their focus on facility accreditation, emergency response protocols, clinician qualifications, physical plant characteristics, and other facility policies and procedures (Table 1).
We conducted the review according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines (S1 Table). We registered the study prospectively with the international registry for systematic reviews, PROSPERO (#CRD42016046872).
Data sources and search strategy
We developed the search strategy in collaboration with a university reference librarian, who assisted with the selection of databases, development of search terms, and reference management. We searched the electronic databases EMBASE, PubMed (including MEDLINE) and Web of Science for relevant publications. The search strategy involved using each database’s controlled vocabulary (e.g., Medical Subject Heading (MeSH) terms for PubMed, Emtree for EMBASE) as well as a range of relevant keywords identified through the literature. We conducted separate searches for each of the research questions. We limited all searches to articles published in the English language and the period from the earliest records up to the search date (August 2016 for Q1, December 2016 for Q2). In July 2017, we conducted a supplementary bridge search to ensure that any newly published research was identified. The specific search strategies are available as Supporting Information (S2 Table).
We conducted “grey” literature searches of government agencies, professional organizations (e.g., medical societies and accrediting bodies), and other organizations that publish research (including the Cochrane Database of Systematic Reviews and the Joanna Briggs Institute) to identify other relevant studies, including conference proceedings and white papers. Using Web of Science, we reviewed references in and citations of our included articles to identify other potential relevant studies that were not identified in our electronic search.
Two investigators independently reviewed titles and abstracts, using a blinded process in the online program Covidence. We resolved discrepancies through consensus, erring on the side of inclusion for full-text review in cases of disagreement. We accepted all articles that did not include an abstract so that the full text of the article could be assessed for eligibility.
The same investigators independently reviewed the full text of articles for eligibility against pre-specified inclusion and exclusion criteria, using a blinded process in Covidence. We resolved discrepancies through consensus and consultation with a third investigator. The inclusion criteria for the full-text review was as follows: We included research studies that compared the impact of outpatient facility type (ASC vs. office/clinic) or specific facility characteristics on our designated outcomes (patient safety, patient experience and service availability) for procedures in non-hospital-affiliated outpatient settings. We excluded articles that summarized non-original research including commentaries and editorials, did not use a comparison group (e.g., studies of patient safety in a single setting), or measured only clinical outcomes (e.g., effectiveness of a procedure). We excluded studies conducted in hospital-affiliated outpatient settings, as these may be organized under the facility characteristics of the hospital.
Two investigators critically appraised the included studies using the ROBINS-I tool, which was developed by the Cochrane Collaboration to assess risk of bias in non-randomized studies . The tool appraises the strengths and weaknesses of research across seven domains of bias—confounding, selection of participants into the study, classification of interventions, deviation from intended interventions, missing data, measurement of outcomes, selection of reported results—and offers signaling questions to guide the researcher in judging risk of bias within each domain. Risk of bias is categorized as low, moderate, serious or critical within each domain, and then assessed overall based on the most critical within-domain risk (e.g., a study is judged to be at serious risk of bias overall if it has been assessed at serious risk in at least one domain, but not at critical risk of bias in any domain).
Data extraction and synthesis
We extracted data from the final sample of studies, including the data source, sample population, classification of exposure (i.e., outpatient facility type or specific facility factor), outcomes, analytic methods and relevant findings. One researcher extracted study-level data into evidence tables, and a second checked the data for accuracy. The ROBINS-I documentation notes that studies with critical risk of bias are “too problematic to provide any useful evidence and should not be included in any synthesis”  (p.4). Thus, we excluded studies judged to have critical risk of bias from our data extraction and synthesis. For studies that included multiple procedures in analyses, we extracted overall results rather than results by procedure. If overall results were not reported, we extracted results associated with the individual procedures. If multiple types of results were reported, we reported the most methodologically sound findings (e.g., results from regression models that controlled for confounding, rather than raw rates). We contacted authors for further information when statistical significance of key comparisons was not reported; however, authors often reported that information was unavailable years after publication.
Because of the great variation in study aims and outcomes, we did not quantitatively pool results across studies. Rather, we present results narratively by research question, noting study findings and highlighting any important limitations that might affect interpretation of results.
Study selection process
PRISMA flow diagrams, indicating the study selection process for each research question, are presented in Figs 1 and 2. For Q1 (Effect of Facility Type), the search strategy identified 1082 unduplicated articles for screening. We considered 183 eligible for full-text review and determined that 10 met criteria for inclusion in the review. For Q2 (Effect of Specific Facility Characteristics), the search strategy identified 1967 unduplicated articles for screening. We considered 244 eligible for full-text review and determined that 12 met criteria for inclusion in the review. In total, we identified 22 papers that met criteria for inclusion in the review.
The final sample of 22 studies are presented in Table 2. For Q1 (Effect of Facility Type), ten studies met inclusion criteria [11–15, 24–28]. The definitions of different facility types (“classification of exposure”) varied considerably across studies. Some studies compared accredited ASCs to accredited offices, whereas others compared accredited ASCs to non-accredited offices and ASCs. Other studies did not describe the criteria for classifying a facility as an ASC or office in detail. For Q2 (Effect of Specific Facility Characteristics), 12 studies met inclusion criteria [4–10, 20, 29–32]. Of these, eight studies examined the effect of facility accreditation, nine studies examined emergency response protocols, eight studies examined clinician qualifications, no studies examined physical plant characteristics, and one study examined other required facility policies.
Most studies (19 of 22) involved retrospective analyses of existing data. Data sources varied across the 22 studies, including adverse event data collected through registries (11 studies), as well as administrative claims and discharge data (4 studies), prospective patient survey data (3 studies), and other sources. Nearly all articles (17 of 22) measured outcomes of patient safety (such as death, hospitalization, or emergency department visits). Few studies measured outcomes related to patient experience (3 studies) or service availability (3 studies).
For each study, risk of bias was assessed for each of the seven domains, and the overall risk of bias was based on the lowest domain assessment. Overall, zero studies had “low risk,” five had “moderate risk,” five had “serious risk,” and 12 had “critical risk” of bias. Overall results are presented in Table 2. Results by domain are included as Supporting Information (S3 Table).
Notable methodological challenges were found within the state of the literature. Eight of the 22 studies reported on the number and types of adverse events, often as a descriptive case series. These calculations lacked a denominator to estimate the proportion of procedures, patients or physicians experiencing adverse events in different facility settings or by specific facility requirement [4–9, 27, 29]. Other studies relied on combinations of datasets, where numerators and denominators were accessed from different sources, with conflicting results [11, 12]. Most studies did not control for potential confounders—such as patient demographic factors, patient health status, procedural invasiveness, or level of sedation—in statistical analyses [10–12, 24–26, 30, 31]. A few studies were hampered by poor response rates, unclear sampling strategies, the use of voluntary registries, which could have resulted in selection bias [25–27, 30]. A few studies, otherwise sound in design, included a large number of statistical tests without correcting for multiple comparisons, increasing the likelihood that statistically significant results are due to chance [26, 32].
Based on ROBINS-I guidelines, we excluded the 12 studies judged to have critical risk of bias from our data extraction. Among the remaining ten studies that met minimum quality criteria, seven examined effects of facility type (Q1) and three examined effects of specific facility characteristics (Q2).
Effect of facility type
Seven studies met minimum quality criteria for Q1 (Table 3). Of these, five compared patient safety outcomes in the ASC and office setting. Across the five studies, one study reported mixed findings, three reported greater risk in the ASC, and one did not assess statistical significance. Across all 18 patient safety outcomes reported in the five studies, seven outcomes indicated greater risk in the ASC, one indicated lower risk in the ASC, six indicated no difference in risk by setting, and four did not assess the difference using statistical tests. Two of the seven studies reported on patient experience outcomes. One reported mixed findings, and the other found no statistical difference by ASC vs. office setting. One study examined the impact of a state-mandated ASC requirement, finding a decrease in service availability. Across all these studies, there is no consistent pattern to the results. The direction and statistical significance are typically consistent within studies, but are not consistent for outcomes across studies.
Summary of studies that met minimum quality criteria.
Colman & Joyce (2011) used vital statistics data to assess the impact of a Texas state law requiring that abortions at or after 16 weeks gestation be performed in ASCs. Prior to the law, 95% of abortions at that phase of pregnancy were performed in physician offices or clinics; at the time, none met the requirements of ASCs. In the law’s first year, the number of abortions at or after 16 weeks gestation in Texas decreased by 88%, and the number in neighboring states among Texas residents increased fourfold. By three years later, the rate of abortions at or after 16 weeks gestation had decreased more than 50% (0.78 to 0.35 per 1000 women, in 2003 to 2006). In statistical models, the authors found greater declines in the rate of abortions at or after 16 weeks gestation in Texas than in comparable states (all p < .05). They conducted analyses to test alternative explanations, none of which conflicted with their conclusions. Minor methodological weaknesses of the study include not fully accounting for possible demographic changes over time and the selection of out-of-state data not including Georgia and Florida, which provide the bulk of later abortion procedures in the South.
Using a nationally representative sample of Medicare beneficiaries undergoing 16 varied outpatient surgical procedures, Fleisher et al. (2004) compared patient safety outcomes at accredited freestanding ASCs to physician offices and non-accredited ASCs. In regression models controlling for patient factors and type of surgical procedure, the authors found lower risk of emergency department visits (OR = 0.71) but higher risk of hospitalization (OR = 1.59) following surgery at offices compared to accredited ASCs. There was no statistically significant difference in risk of death. Separate analyses were reported for eight of 16 individual procedures, and risk of death or hospitalization was found to be greater at ASCs in seven of eight of these analyses. As noted by the authors, the interpretation of these results is confused by the combining of physician offices and non-accredited ASCs under the category “office” in Medicare claims data. The analysis was unable to control for type or duration of anesthesia use, and did not adjust statistical significance for the large number of statistical tests.
Gupta et al. (2016) relied on claims data from CosmetAssure, a voluntary private insurance for patients undergoing varied cosmetic surgery procedures at accredited ASCs and accredited office-based surgical suites (as well as hospital sites). CosmetAssure mandates that procedures be performed in accredited facilities, thus non-accredited offices or ASCs are not included. Risk of major complications (defined by the authors as those as requiring hospital admission, emergency department visit or reoperation) was significantly lower for patients in offices than in ASCs (RR = 0.67) after controlling for patient factors, procedure type and combined procedures. Similar results were found for some specific outcomes, including risk of hematoma or infection, but there was no difference in risk of VTE or pulmonary dysfunction by facility type. While analyses controlled for a number of potential confounders, the dataset did not include data on type or duration of anesthesia.
Hollingsworth et al. (2012) used a national sample of Medicare claims data to assess outcomes following 22 common urological procedures in freestanding ASCs, offices, and hospital outpatient departments (HOPD). The study found that the risk of same-day hospital admissions was significantly higher at ASCs and offices relative to HOPDs (OR = 6.96 and OR = 3.64, respectively), and that the risk of postoperative complications (as identified through ICD-9 CM diagnosis codes) was significantly lower at ASCs relative to HOPDs (OR = 0.69) but was not different at offices relative to HOPDs. However, the statistical models relied on the HOPD at the reference group and made no direct comparisons between the ASC and office. Thus, it is unclear if there were statistically significant differences in outcomes between the non-hospital-affiliated settings. Additionally, the analyses did not control for anesthesia use or specific procedure.
Using a voluntary quality improvement database of non-hospital-affiliated outpatient cases in which anesthesia was used, Jani et al. (2016) examined the impact of facility type on measures of patient safety and patient experience. Multiple procedure types were included, with outcomes reported overall and separately for each procedure. Overall, the study found no statistically significant differences in patients’ odds of difficult airway or hospital admission based on outpatient facility type. Rates of inadequate pain control was greater (OR = 2.10) and rates of post-operative nausea and vomiting were lower (OR = 0.74) for patients in the ASC relative to the office, which may reflect greater levels of sedation at the office. There were no statistically significant differences in difficult airway or hospitalization by facility type. These results are hampered by analyses that did not control for any potential confounders and the use of many statistical tests for each individual procedure and multiple outcomes for each procedure without correcting the statistical significance threshold to account for findings due to chance.
In a multi-center randomized trial of a hysteroscopic procedure for uterine polyps and myomas, Rubino & Lukes (2015), patients were randomized to treatment in an ASC or office setting. Among the 74 patients, one adverse event occurred at each facility setting, with neither case requiring hospitalization. In addition to treatment outcomes, the trial assessed patient satisfaction at 12 months. A greater proportion of patients at an ASC expressed satisfaction compared to those at an office (96.9% vs. 88.6%), which the authors attributed to greater levels of anesthesia used in the ASCs. However, this difference was not statistically significant (p = .07). There were no differences by facility type in the proportion of patient who would consider having the treatment again or would recommend the treatment to similar patients. Satisfaction scores were not controlled for other patient or procedural factors.
The study by Venkat et al. (2004) is presented as a direct response to Vila et al. (2013), which did not meet minimum quality criteria. Both rely on the mandatory reporting of adverse events in Florida and aim to determine the risk of mortality in physician offices compared with ASCs. The studies use different means to estimate the denominator—that is, the number of procedures in each setting in the state—to estimate risk. The findings of Vila et al., which indicated greater risk in offices, have been widely disputed for these calculations [8, 11]. In the updated analysis, Venkat et al. estimate higher adverse event rates and mortality rates in ASCs. The study estimates adverse event and mortality rates using two different data sources for the denominator, and the risk ratios vary considerably by data source. These calculations are also not adjusted for potential confounders, and therefore may still be at serious risk of bias.
Effect of specific facility characteristics
Three studies met minimum quality criteria for Q2 (Table 4). One study addressed the effect of facility accreditation on patient safety outcomes, and two addressed the effect of emergency response protocols on service availability outcomes. No studies meeting minimum quality criteria addressed the impact of clinician qualifications, physical plant characteristics, or other facility policies. There is not enough research on each of the specific types of facility characteristics to draw conclusions across studies, although there is a suggestion that requiring abortion providers to have hospital admitting privileges may result in decreases in service availability for women seeking abortion.
Summary of studies meeting minimum quality criteria.
Menachemi et al. (2008) merged ambulatory surgery and hospital discharge data to compare hospital admissions for patients having procedures in accredited vs. non-accredited ASCs. Separate analyses were conducted for five common ambulatory surgical procedures, and compared results for ASCs accredited by the Accreditation Association for Ambulatory Health Care (AAAHC) or the Joint Commission, to those not independently accredited but overseen by the state regulatory agency. The authors found statistically greater risk of hospital admission for patients undergoing colonoscopy at non-accredited facilities compared to facilities accredited by the Joint Commission, controlling for patient and facility factors. No statistically significant differences were found for the other procedures or for those accredited by AAAHC. Given the high number of statistical tests conducted and lack of pattern in the results, the significant colonoscopy findings may be due to chance.
Two studies—Gerdts et al. (2016) and Grossman et al. (2014)—aimed to assess the impact on service availability of a 2013 Texas law requiring that abortion providers have admitting privileges at a local hospital. Grossman et al. found that the number of abortion facilities (41 to 22) and the annual abortion rate (12.9 to 11.2 abortions per 1000 women age 15–44) decreased from before to after the law was enacted; these were not assessed for statistical significance. There was a significant decrease in the percent of early medication abortions (28.1% vs. 9.7%, p < .001) and increase in the percent of abortions done in the second trimester (13.5% vs. 13.9%, p < .001). Surveying women seeking abortions, Gerdts et al. compared outcomes for women whose nearest clinic had closed or remained open following the enactment of the state law. They found greater distance traveled, out-of-pocket expenses, frustrated demand for medication abortion, number of hardships experienced, and patient reports that it was “somewhat hard” or “very hard” to reach the clinic (all p < .05) for women whose nearest clinic closed. There were no statistically significant differences in women needing to stay overnight prior to her abortion, scheduling an abortion later than her preference, or the gestational age of pregnancy. Both studies are methodologically sound policy evaluations, but challenged for the purposes of this review because the Texas law enacted other requirements (i.e., a requirement to follow an older medication abortion protocol) at the same time. It is therefore not possible to separate the specific effect of the admitting privileges requirement from other requirements.
In this systematic review, we examined the question of whether the type of outpatient facility or specific facility characteristics have an impact on patient safety, patient experience and availability of services. We found that the existing research literature is limited by methodological challenges, with many studies prone to biases that inhibit their utility in determining policy and practice. Across the studies of higher methodological quality, we found inconsistent results. Despite the methodological weaknesses and heterogeneity of study designs, it does appear that: 1) the existing evidence does not indicate a difference in patient safety for procedures performed in ASCs vs. physician offices; 2) requiring that abortions be performed in ASCs or that abortion providers have hospital admitting privileges appears to be associated with a decrease in service availability; and 3) there is insufficient research to draw conclusions from the existing body of research about the effect of specific facility characteristics on patient safety.
To some extent, these findings reflect an exploratory stage of research on this topic. The question of whether procedures should migrate out of the hospital has motivated research and practice considerations over the recent years [33, 34]. This focus is appropriate, as the potential harms of moving procedures that pose a risk of serious morbidity or adverse events such as hemorrhage, analgesic/anesthesia toxicity or over-sedation, or perforation from the inpatient to outpatient setting could be result in poor patient outcomes (e.g., hospitalization, additional surgical procedures, disability). In contrast, questions of which outpatient setting (i.e., ASC vs. office) is most appropriate for a given procedure already performed in outpatient settings or how those facility settings should be structured have been less pressing. As a result, it makes sense that most research has been exploratory, relying on case studies of adverse events from state registries [4–10, 29] or bringing together compilations of data sources [11, 12]. The limitations of these studies have been noted in more recent research (e.g., . But such studies are important first steps in determining if there is a patient safety problem that may be due to facility type or facility characteristics and, if so, what intervention research might be needed to develop evidence-based solutions. We note that the research on patient safety in non-hospital-affiliated outpatient settings appears to be focused elsewhere, for example, on medication errors [35, 36], electronic health records [37–39] and office-based anesthesia [40, 41], rather than on questions of specific facility characteristics related to clinician qualifications, physical plant or other procedures. The notable exception is for facilities that provide abortion—a common outpatient procedure with a strong safety record in office/clinic settings [17–19]–which state legislatures have singled out, requiring them to comply with specific facility requirements [16, 22]. There is a body of research that has sought to predict or evaluate the impact of these requirements on abortion service availability. These studies indicate that the difficulty of compliance with Texas’ law resulted in the closure of about half of the state’s abortion facilities, increased burden on women seeking abortion, and delayed or prevented some women from having desired abortions [20, 24, 31, 42].
This systematic review makes clear that for procedures performed in non-hospital-affiliated outpatient settings, there is an absence of definitive research evidence about whether and what facility requirements may improve patient safety, as well as which, if any, of those requirements are able to improve patient safety without adversely affecting patient experience and service availability. Given the rarity of serious adverse events (e.g., death, hospitalization) following procedures in outpatient settings, insurance claims are likely the best source of data for future research, as they provide samples less affected by selection bias and include patient and procedure variables that can be controlled for in statistical analyses. In this review, the claims data analyses [13–15, 32] were least at risk of bias. However, there are other types of research evidence that did not meet the strict criteria of this systematic review that should be applied to questions of patient safety. This includes quality improvement databases developed by accreditation organizations [43–45] and professional associations (e.g., ), analyses of closed anesthesia malpractice claims analyses [47, 48], state-run registries , as well as best practices in office-based anesthesia [40, 41].
Research on procedures in outpatient settings needs to bring attention not just to concerns about safety, but also to outcomes of patient-centered care. This review makes clear that there is very little research on the impact of outpatient facility characteristics on patient experience and service availability. With the increasing recognition of the importance of care that is responsive to and respectful of patients’ preferences, needs and values , new studies would make strong contributions to the health care knowledge base by more thoroughly assessing patients’ experience with services. Validated measures of patient experience with health care provision, most notably the Consumer Assessment of Healthcare Providers and Systems (CAHPS) surveys [50, 51], are available for use in varied outpatient settings and encompass a broad view of patient experience across multiple domains. Qualitative methods have been used to understand patients’ perspective of health care services, including procedural care. For example, quantitative data has been combined with patient stories to create compelling evidence to evoke reflection and improvements within clinical teams . Understanding the patient experience using qualitative methods has been shown to highlight potential solutions and opportunities to improve care .
In addition, new thinking is needed to study the impact of facility requirements on service availability, as facility requirements could limit access to care, as has been documented in relation to abortion [20, 24, 31, 42]. From a public health perspective, it is important to balance any possible improvements in patient safety with possible adverse health impacts of decreased service availability.
Strengths and limitations
This study has important strengths, most notably its use of established systematic review methodology to identify relevant research, its formal risk of bias assessment to ensure that conclusions are drawn from the best available research, and its use of multidisciplinary experts to review the literature. Nonetheless, we may have missed relevant work in our search. Because the controlled vocabulary of our primary research databases do not include many facility-related terms, we relied on informal keywords that may have missed research that used other terminology. Other limitations result from variations in the identified studies. Because there is no standard definition of facility type that could be applied by authors, studies varied in their definitions and classifications of outpatient settings. Additionally, studies utilized datasets that varied in their populations, procedures and outcomes, which limited comparability across studies. As a result, we were not able to synthesize results or conduct meta-analyses across studies.
In summary, we conclude that the existing research on the impact of facility type and facility-related characteristics on patient safety, patient experience and service availability for procedures in outpatient settings is limited. The existing evidence does not indicate a difference in patient safety for outpatient procedures performed in ASCs vs. physician offices. In addition, research on laws that have singled out abortion facilities with specific facility requirements appear to be associated with decreased availability of services. More and higher quality research is needed to determine if there is a public health problem to be addressed through facility regulation and, if so, which specific facility characteristics may result in consistent positive improvements to patient safety while not adversely affecting patient experience or service availability.
S2 Table. Search strategy for systematic review.
The authors are grateful to Evans Whitaker for search strategy consultation and support, Bonnie Scott Jones for consultation on study conceptualization, Jillian Henderson for methodological consultation, and to Rebecca Kriz, Finley Baba, Heather Lipkovich, and Nicole Nguyen for project support.
- 1. Institute of Medicine. Crossing the quality chasm: a new health system for the 21st century. Washington, D.C.: National Academy Press; 2001.
- 2. Kohn LT, Corrigan J, Donaldson MS. To err is human: building a safer health system. Washington, D.C.: National Academy Press; 2000.
- 3. Cullen KA, Hall MJ, Golosinskiy A. Ambulatory surgery in the United States, 2006. Natl Health Stat Report. 2009; (11):1–25. pmid:19294964
- 4. Clayman MA, Caffee HH. Office surgery safety and the Florida moratoria. Annals of plastic surgery. 2006;56(1):78–81. pmid:16374101
- 5. Clayman MA, Seagle BM. Office surgery safety: the myths and truths behind the Florida moratoria—six years of Florida data. Plast Reconstr Surg. 2006;118(3):777–85; discussion 86–7. pmid:16932189
- 6. Coldiron B. Office surgical incidents: 19 months of Florida data. Dermatol Surg. 2002;28(8):710–2. pmid:12174063
- 7. Coldiron B, Fisher AH, Adelman E, Yelverton CB, Balkrishnan R, Feldman MA, et al. Adverse event reporting: lessons learned from 4 years of Florida office data. Dermatol Surg. 2005;31(9 Pt 1):1079–92. pmid:16162309
- 8. Coldiron B, Shreve E, Balkrishnan R. Patient injuries from surgical procedures performed in medical offices: three years of Florida data. Dermatol Surg. 2004;30(12 Pt 1):1435–43. pmid:15606728
- 9. Coldiron BM, Healy C, Bene NI. Office surgery incidents: what seven years of Florida data show us. Dermatol Surg. 2008;34(3):285–91. pmid:18177404
- 10. Starling J 3rd, Thosani MK, Coldiron BM. Determining the safety of office-based surgery: what 10 years of Florida data and 6 years of Alabama data reveal. Dermatol Surg. 2012;38(2):171–7. pmid:22093178
- 11. Venkat AP, Coldiron B, Balkrishnan R, Camacho F, Hancox JG, Fleischer AB Jr., et al. Lower adverse event and mortality rates in physician offices compared with ambulatory surgery centers: a reappraisal of Florida adverse event data. Dermatol Surg. 2004;30(12 Pt 1):1444–51. pmid:15606730
- 12. Vila H Jr., Soto R, Cantor AB, Mackey D. Comparative outcomes analysis of procedures performed in physician offices and ambulatory surgery centers. Arch Surg. 2003;138(9):991–5. pmid:12963657
- 13. Fleisher LA, Pasternak LR, Herbert R, Anderson GF. Inpatient hospital admission and death after outpatient surgery in elderly patients: importance of patient and system characteristics and location of care. Arch Surg. 2004;139(1):67–72. pmid:14718279
- 14. Gupta V, Parikh R, Nguyen L, Afshari A, Shack RB, Grotting JC, et al. Is Office-Based Surgery Safe? Comparing Outcomes of 183,914 Aesthetic Surgical Procedures Across Different Types of Accredited Facilities. Aesthet Surg J. 2017;37(2):226–35. pmid:27553613
- 15. Hollingsworth JM, Saigal CS, Lai JC, Dunn RL, Strope SA, Hollenbeck BK, et al. Surgical quality among Medicare beneficiaries undergoing outpatient urological surgery. J Urol. 2012;188(4):1274–8. pmid:22902012
- 16. Guttmacher Institute. Targeted Regulation of Abortion Providers. New York: Guttmacher Institute, 2017.
- 17. Raymond EG, Grossman D, Weaver MA, Toti S, Winikoff B. Mortality of induced abortion, other outpatient surgical procedures and common activities in the United States. Contraception. 2014;90(5):476–9. pmid:25152259
- 18. Upadhyay UD, Desai S, Zlidar V, Weitz TA, Grossman D, Anderson P, et al. Incidence of emergency department visits and complications after abortion. Obstet Gynecol. 2015;125(1):175–83. pmid:25560122
- 19. White K, Carroll E, Grossman D. Complications from first-trimester aspiration abortion: a systematic review of the literature. Contraception. 2015;92(5):422–38. pmid:26238336
- 20. Grossman D, Baum S, Fuentes L, White K, Hopkins K, Stevenson A, et al. Change in abortion services after implementation of a restrictive law in Texas. Contraception. 2014;90(5):496–501. pmid:25128413
- 21. Whole Woman’s Health v. Hellerstedt, 579 U.S. ___ (2016).
- 22. Jones BS. Facility standards for abortions and other outpatient procedures. National Academies of Medicine; Washington, DC, 2017.
- 23. Sterne JA, Hernan MA, Reeves BC, Savovic J, Berkman ND, Viswanathan M, et al. ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions. BMJ. 2016;355:i4919. pmid:27733354
- 24. Colman S, Joyce T. Regulating abortion: Impact on patients and providers in Texas. J Policy Anal Manag. 2011;30(4):775–97.
- 25. Housman TS, Lawrence N, Mellen BG, George MN, San Filippo J, Cerveny KA, et al. The safety of liposuction: Results of a national survey. Dermatologic Surgery. 2002;28(11):971–8. pmid:12460288
- 26. Jani SR, Shapiro FE, Gabriel RA, Kordylewski H, Dutton RP, Urman RD. A Comparison between office and other ambulatory practices: Analysis from the National Anesthesia Clinical Outcomes Registry. J Healthc Risk Manag. 2016;35(4):38–47. pmid:27088775
- 27. Lee HH, Milgrom P, Starks H, Burke W. Trends in death associated with pediatric dental sedation and general anesthesia. Pediatric Anesthesia. 2013;23(8):741–6. pmid:23763673
- 28. Rubino RJ, Lukes AS. Twelve-month outcomes for patients undergoing hysteroscopic morcellation of uterine polyps and myomas in an office or ambulatory surgical center. J Minim Invasive Gynecol. 2015;22(2):285–90. pmid:25446547
- 29. Balkrishnan R, Gill IK, Vallee JA, Feldman SR. No Smoking Gun: Findings From a National Survey of Office-Based Cosmetic Surgery Adverse Event Reporting. Dermatologic Surgery. 2003;29(11):1093–9. pmid:14641332
- 30. Boyle CA. Using a time-flow study to identify ambulatory surgical delays. Journal of post anesthesia nursing. 1996;11(2):71–7. pmid:8709047
- 31. Gerdts C, Fuentes L, Grossman D, White K, Keefe-Oates B, Baum SE, et al. Impact of Clinic Closures on Women Obtaining Abortion Services After Implementation of a Restrictive Law in Texas. Am J Public Health. 2016;106(5):857–64. pmid:26985603
- 32. Menachemi N, Chukmaitov A, Brown LS, Saunders C, Brooks RG. Quality of care in accredited and nonaccredited ambulatory surgical centers. Joint Commission journal on quality and patient safety. 2008;34(9):546–51. pmid:18792659
- 33. Gandhi TK, Lee TH. Patient safety beyond the hospital. N Engl J Med. 2010;363(11):1001–3. pmid:20825311
- 34. Wachter RM. Is ambulatory patient safety just like hospital safety, only without the "stat"? Ann Intern Med. 2006;145(7):547–9. pmid:17015874
- 35. Gandhi TK, Weingart SN, Borus J, Seger AC, Peterson J, Burdick E, et al. Adverse drug events in ambulatory care. N Engl J Med. 2003;348(16):1556–64. pmid:12700376
- 36. Sarkar U, Lopez A, Maselli JH, Gonzales R. Adverse drug events in U.S. adult ambulatory medical care. Health Serv Res. 2011;46(5):1517–33. pmid:21554271
- 37. Chaudhry B, Wang J, Wu S, Maglione M, Mojica W, Roth E, et al. Systematic review: impact of health information technology on quality, efficiency, and costs of medical care. Ann Intern Med. 2006;144(10):742–52. pmid:16702590
- 38. DesRoches CM, Campbell EG, Rao SR, Donelan K, Ferris TG, Jha A, et al. Electronic health records in ambulatory care—a national survey of physicians. N Engl J Med. 2008;359(1):50–60. pmid:18565855
- 39. Hillestad R, Bigelow J, Bower A, Girosi F, Meili R, Scoville R, et al. Can electronic medical record systems transform health care? Potential health benefits, savings, and costs. Health Aff (Millwood). 2005;24(5):1103–17.
- 40. Shapiro FE, Punwani N, Rosenberg NM, Valedon A, Twersky R, Urman RD. Office-based anesthesia: safety and outcomes. Anesth Analg. 2014;119(2):276–85. pmid:25046785
- 41. Urman RD, Punwani N, Shapiro FE. Patient safety and office-based anesthesia. Curr Opin Anaesthesiol. 2012;25(6):648–53. pmid:23026805
- 42. Fuentes L, Lebenkoff S, White K, Gerdts C, Hopkins K, Potter JE, et al. Women’s experiences seeking abortion care shortly after the closure of clinics due to a restrictive law in Texas. Contraception. 2016;93(4):292–7. pmid:26768858
- 43. Keyes GR, Singer R, Iverson RE, McGuire M, Yates J, Gold A, et al. Mortality in outpatient surgery. Plastic and Reconstructive Surgery. 2008;122(1):245–50. pmid:18594412
- 44. Keyes GR, Singer R, Iverson RE, McGuire M, Yates J, Gold A, et al. Analysis of outpatient surgery center safety using an Internet-based quality improvement and peer review program. Plastic and Reconstructive Surgery. 2004;113(6):1760–70. pmid:15114143
- 45. Soltani AM, Keyes GR, Singer R, Reed L, Fodor PB. Outpatient Surgery and Sequelae An Analysis of the AAAASF Internet-based Quality Assurance and Peer Review Database. Clin Plast Surg. 2013;40(3):465. pmid:23830755
- 46. Liau A, Havidich JE, Onega T, Dutton RP. The National Anesthesia Clinical Outcomes Registry. Anesth Analg. 2015;121(6):1604–10. pmid:26579661
- 47. Metzner J, Posner KL, Lam MS, Domino KB. Closed claims’ analysis. Best Pract Res Clin Anaesthesiol. 2011;25(2):263–76. pmid:21550550
- 48. Ranum D, Beverly A, Shapiro FE, Urman RD. Leading causes of anesthesia-related liability claims in ambulatory surgery centers. Journal of Patient Safety. Forthcoming.
- 49. Gliklich RE, Dreyer NA, Leavy NB. Registries for Evaluating Patient Outcomes: A User’s Guide: 3rd Edition. Rockville, MD: Agency for Healthcare Research and Quality, 2014.
- 50. Agency for Healthcare Research and Quality (AHRQ). Patient Experience Measures from the CAHPS clinician & Group Surveys Rockville, MD: Author; 2014. p. 1–21.
- 51. Browne K, Roseman D, Shaller D, Edgman-Levitan S. Analysis & commentary. Measuring patient experience as a strategy for improving primary care. Health Aff (Millwood). 2010;29(5):921–5.
- 52. Locock L, Robert G, Boaz A, Vougioukalou S, Shuldham C, Fielden J, et al. Using a national archive of patient experience narratives to promote local patient-centered quality improvement: an ethnographic process evaluation of ‘accelerated’ experience-based co-design. J Health Serv Res Policy. 2014;19(4):200–7. pmid:24840387
- 53. McLemore MR, Desai S, Freedman L, James EA, Taylor D. Women know best—findings from a thematic analysis of 5,214 surveys of abortion care experience. Womens Health Issues. 2014;24(6):594–9. pmid:25442704