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Figure. Flow diagram of search results.

Figure. Flow diagram of search results.

Table 1. Overview of Included Studies
Table 1. Overview of Included Studies
Table 2. Selected Major Outcomes Following Advanced Access Implementation, Summary of Studies
Table 2. Selected Major Outcomes Following Advanced Access Implementation, Summary of Studies
Table 3. Time to Third-Next-Available Appointment
Table 3. Time to Third-Next-Available Appointment
Table 4. Physician and Practice Outcomes
Table 4. Physician and Practice Outcomes
Table 5. Patient Satisfaction and Advanced Access Implementation
Table 5. Patient Satisfaction and Advanced Access Implementation
Table 6. Clinical Outcomes of Advanced Access
Table 6. Clinical Outcomes of Advanced Access
1.
Murray M, Tantau C. Redefining open access to primary care.  Manag Care Q. 1999;7(3):45-5510620958PubMedGoogle Scholar
2.
George A, Rubin G. Non-attendance in general practice: a systematic review and its implications for access to primary health care.  Fam Pract. 2003;20(2):178-18412651793PubMedGoogle ScholarCrossref
3.
Merritt HA. Summary report: 2009 survey of physician appointment wait times. http://www.merritthawkins.com/pdf/mha2009waittimesurvey.pdf. Accessed February 20, 2011
4.
Trude S, Ginsburg PB. An update on Medicare beneficiary access to physician services.  Issue Brief Cent Stud Health Syst Change. 2005;2(93):1-415724317PubMedGoogle Scholar
5.
Prentice JC, Pizer SD. Delayed access to health care and mortality.  Health Serv Res. 2007;42(2):644-66217362211PubMedGoogle ScholarCrossref
6.
Rust G, Ye J, Baltrus P, Daniels E, Adesunloye B, Fryer GE. Practical barriers to timely primary care access: impact on adult use of emergency department services.  Arch Intern Med. 2008;168(15):1705-171018695087PubMedGoogle ScholarCrossref
7.
California HealthCare Foundation.  Overuse of emergency departments among insured Californians. http://www.chcf.org/publications/2006/10/overuse-of-emergency-departments-among-insured-californians. Accessed November 1, 2010
8.
Institute for Healthcare Improvement.  Advanced access: reducing waits, delays and frustrations in Maine. See website here. Accessed July 20, 2010
9.
Pulse.  Government issues advanced access demand. http://www.pulsetoday.co.uk/story.asp?storycode=4116322. Accessed February 8, 2011
10.
The Scottish Government.  GP Patient experience survey access results for practices 2010. http://www.scotland.gov.uk/Resource/Doc/924/0099312.pdf. Accessed February 8, 2011
11.
Singer IA, Regenstein M. Advanced Access: Ambulatory Care Redesign and the Nation's Safety Net. Washington, DC: National Association of Public Hospitals; 2003
12.
Murray M, Tantau C. Same-day appointments: exploding the access paradigm.  Fam Pract Manag. 2000;7(8):45-5011183460PubMedGoogle Scholar
13.
Murray M. Patient care: access.  BMJ. 2000;320(7249):1594-159610845975PubMedGoogle ScholarCrossref
14.
Boelke C, Boushon B, Isensee S. Achieving open access: the road to improved service & satisfaction.  Med Group Manage J. 2000;47(5):58-62, 64-66, 6811793913PubMedGoogle Scholar
15.
Salisbury C. Evaluating open access: problems with the program or the studies?  Ann Intern Med. 2008;149(12):910-911, author reply 91119075216PubMedGoogle Scholar
16.
Ahluwalia S, Offredy M. A qualitative study of the impact of the implementation of advanced access in primary healthcare on the working lives of general practice staff.  BMC Fam Pract. 2005;6:3916188036PubMedGoogle ScholarCrossref
17.
Murray M, Berwick DM. Advanced access: reducing waiting and delays in primary care.  JAMA. 2003;289(8):1035-104012597760PubMedGoogle ScholarCrossref
18.
Bice TW, Boxerman SB. A quantitative measure of continuity of care.  Med Care. 1977;15(4):347-349859364PubMedGoogle ScholarCrossref
19.
Given CW, Branson M, Zemach R. Evaluation and application of continuity measures in primary care settings.  J Community Health. 1985;10(1):22-414019823PubMedGoogle ScholarCrossref
20.
Magill MK, Senf J. A new method for measuring continuity of care in family practice residencies.  J Fam Pract. 1987;24(2):165-1683806028PubMedGoogle Scholar
21.
Patten RC, Friberg R. Measuring continuity of care in a family practice residency program.  J Fam Pract. 1980;11(1):67-717411044PubMedGoogle Scholar
22.
Cochrane Effective Practice and Organisation of Care Review Group.  Risk of bias criteria. http://epoc.cochrane.org/epoc-resources-review-authors. Accessed September 7, 2010
23.
Ogrinc G, Mooney SE, Estrada C,  et al.  The SQUIRE (Standards for QUality Improvement Reporting Excellence) guidelines for quality improvement reporting: explanation and elaboration.  Qual Saf Health Care. 2008;17:(Suppl 1)  i13-i3218836062PubMedGoogle ScholarCrossref
24.
West S, King V, Carey TS,  et al.  Systems to rate the strength of scientific evidence.  Evid Rep Technol Assess (Summ). 2002;3(47):1-1111979732PubMedGoogle Scholar
25.
Belardi FG, Weir S, Craig FW. A controlled trial of an advanced access appointment system in a residency family medicine center.  Fam Med. 2004;36(5):341-34515129381PubMedGoogle Scholar
26.
Bennett KJ, Baxley EG. The effect of a carve-out advanced access scheduling system on no-show rates.  Fam Med. 2009;41(1):51-5619132573PubMedGoogle Scholar
27.
Bundy DG, Randolph GD, Murray M, Anderson J, Margolis PA. Open access in primary care: results of a North Carolina pilot project.  Pediatrics. 2005;116(1):82-8715995036PubMedGoogle ScholarCrossref
28.
Dixon S, Sampson FC, O’Cathain A, Pickin M. Advanced access: more than just GP waiting times?  Fam Pract. 2006;23(2):233-23916364952PubMedGoogle ScholarCrossref
29.
Pickin M, O’Cathain A, Sampson FC, Dixon S. Evaluation of advanced access in the national primary care collaborative.  Br J Gen Pract. 2004;54(502):334-34015113514PubMedGoogle Scholar
30.
Kennedy JG, Hsu JT. Implementation of an open access scheduling system in a residency training program.  Fam Med. 2003;35(9):666-67014523666PubMedGoogle Scholar
31.
Meyers ML. Changing business practices for appointing in military outpatient medical clinics: the case for a true “open access” appointment scheme for primary care.  J Healthc Manag. 2003;48(2):125-13912698613PubMedGoogle Scholar
32.
Phan K, Brown SR. Decreased continuity in a residency clinic: a consequence of open access scheduling.  Fam Med. 2009;41(1):46-5019132572PubMedGoogle Scholar
33.
Rohrer JE, Bernard M, Naessens J, Furst J, Kircher K, Adamson S. Impact of open-access scheduling on realized access.  Health Serv Manage Res. 2007;20(2):134-13917524225PubMedGoogle ScholarCrossref
34.
Salisbury C, Goodall S, Montgomery AA,  et al.  Does Advanced Access improve access to primary health care? Questionnaire survey of patients.  Br J Gen Pract. 2007;57(541):615-62117688755PubMedGoogle Scholar
35.
Salisbury C, Montgomery AA, Simons L,  et al.  Impact of Advanced Access on access, workload, and continuity: controlled before-and-after and simulated-patient study.  Br J Gen Pract. 2007;57(541):608-61417688754PubMedGoogle Scholar
36.
Sampson F, Pickin M, O’Cathain A, Goodall S, Salisbury C. Impact of same-day appointments on patient satisfaction with general practice appointment systems.  Br J Gen Pract. 2008;58(554):641-64318801282PubMedGoogle ScholarCrossref
37.
Pickin M, O’Cathain A, Sampson F, Salisbury C, Nicholl J. The impact of Advanced Access on antibiotic prescribing: a controlled before and after study.  Fam Pract. 2010;27(5):554-55520547495PubMedGoogle ScholarCrossref
38.
Mehrotra A, Keehl-Markowitz L, Ayanian JZ. Implementing open-access scheduling of visits in primary care practices: a cautionary tale.  Ann Intern Med. 2008;148(12):915-92218559842PubMedGoogle Scholar
39.
Armstrong B, Levesque O, Perlin JB, Rick C, Schectman G. Reinventing Veterans Health Administration: focus on primary care.  J Healthc Manag. 2005;50(6):399-408, discussion 40916370126PubMedGoogle Scholar
40.
Boushon B, Provost L, Gagnon J, Carver P. Using a virtual breakthrough series collaborative to improve access in primary care.  Jt Comm J Qual Patient Saf. 2006;32(10):573-58417066995PubMedGoogle Scholar
41.
Lasser KE, Mintzer IL, Lambert A, Cabral H, Bor DH. Missed appointment rates in primary care: the importance of site of care.  J Health Care Poor Underserved. 2005;16(3):475-48616118837PubMedGoogle ScholarCrossref
42.
Lewandowski S, O’Connor PJ, Solberg LI, Lais T, Hroscikoski M, Sperl-Hillen JM. Increasing primary care physician productivity: a case study.  Am J Manag Care. 2006;12(10):573-57617026411PubMedGoogle Scholar
43.
Solberg LI, Maciosek MV, Sperl-Hillen JM,  et al.  Does improved access to care affect utilization and costs for patients with chronic conditions?  Am J Manag Care. 2004;10(10):717-72215521163PubMedGoogle Scholar
44.
Solberg LI, Crain AL, Sperl-Hillen JM, Hroscikoski MC, Engebretson KI, O’Connor PJ. Effect of improved primary care access on quality of depression care.  Ann Fam Med. 2006;4(1):69-7416449399PubMedGoogle ScholarCrossref
45.
Sperl-Hillen JM, Solberg LI, Hroscikoski MC, Crain AL, Engebretson KI, O’Connor PJ. The effect of advanced access implementation on quality of diabetes care.  Prev Chronic Dis. 2008;5(1):A1618082005PubMedGoogle Scholar
46.
Lukas CV, Meterko M, Mohr D, Seibert MN. The implementation and effectiveness of advanced clinic access. http://www.colmr.research.va.gov/publications/reports/ACA_FullReport.pdf. Accessed August 25, 2010
47.
Radel SJ, Norman AM, Notaro JC, Horrigan DR. Redesigning clinical office practices to improve performance levels in an individual practice association model HMO.  J Healthc Qual. 2001;23(2):11-15, quiz 15, 5211257795PubMedGoogle ScholarCrossref
48.
Subramanian U, Ackermann RT, Brizendine EJ,  et al.  Effect of advanced access scheduling on processes and intermediate outcomes of diabetes care and utilization.  J Gen Intern Med. 2009;24(3):327-33319132326PubMedGoogle ScholarCrossref
49.
Cherniack EP, Sandals L, Gillespie D, Maymi E, Aguilar E. The use of open-access scheduling for the elderly.  J Healthc Qual. 2007;29(6):45-4818232607PubMedGoogle ScholarCrossref
50.
Mallard SD, Leakeas T, Duncan WJ, Fleenor ME, Sinsky RJ. Same-day scheduling in a public health clinic: a pilot study.  J Public Health Manag Pract. 2004;10(2):148-15514967982PubMedGoogle Scholar
51.
O’Connor ME, Matthews BS, Gao D. Effect of open access scheduling on missed appointments, immunizations, and continuity of care for infant well-child care visits.  Arch Pediatr Adolesc Med. 2006;160(9):889-89316953011PubMedGoogle ScholarCrossref
52.
Parente DH, Pinto MB, Barber JC. A pre-post comparison of service operational efficiency and patient satisfaction under open access scheduling.  Health Care Manage Rev. 2005;30(3):220-22816093888PubMedGoogle Scholar
53.
Kizer KW, Demakis JG, Feussner JR. Reinventing VA health care: systematizing quality improvement and quality innovation.  Med Care. 2000;38(6):(Suppl 1)  I7-I1610843266PubMedGoogle Scholar
54.
Jha AK, Perlin JB, Kizer KW, Dudley RA. Effect of the transformation of the Veterans Affairs Health Care System on the quality of care.  N Engl J Med. 2003;348(22):2218-222712773650PubMedGoogle ScholarCrossref
55.
Murray M, Bodenheimer T, Rittenhouse D, Grumbach K. Improving timely access to primary care: case studies of the advanced access model.  JAMA. 2003;289(8):1042-104612597761PubMedGoogle ScholarCrossref
56.
Tantau C. Accessing patient-centered care using the advanced access model.  J Ambul Care Manage. 2009;32(1):32-4319104292PubMedGoogle Scholar
57.
Gerard K, Salisbury C, Street D, Pope C, Baxter H. Is fast access to general practice all that should matter? a discrete choice experiment of patients' preferences.  J Health Serv Res Policy. 2008;13:(Suppl 2)  3-1018416923PubMedGoogle ScholarCrossref
58.
Rubin G, Bate A, George A, Shackley P, Hall N. Preferences for access to the GP: a discrete choice experiment.  Br J Gen Pract. 2006;56(531):743-74817007703PubMedGoogle Scholar
59.
Pascoe SW, Neal RD, Allgar VL. Open-access versus bookable appointment systems: survey of patients attending appointments with general practitioners.  Br J Gen Pract. 2004;54(502):367-36915113521PubMedGoogle Scholar
60.
BBC News.  Patients denied advance bookings. http://news.bbc.co.uk/1/hi/health/4112390.stm. Accessed July 29, 2010
61.
Pope C, Banks J, Salisbury C, Lattimer V. Improving access to primary care: eight case studies of introducing Advanced Access in England.  J Health Serv Res Policy. 2008;13(1):33-3918325154PubMedGoogle ScholarCrossref
62.
Mercer CH, Sutcliffe L, Johnson AM,  et al.  How much do delayed healthcare seeking, delayed care provision, and diversion from primary care contribute to the transmission of STIs?  Sex Transm Infect. 2007;83(5):400-40517475683PubMedGoogle ScholarCrossref
63.
Saultz JW, Lochner J. Interpersonal continuity of care and care outcomes: a critical review.  Ann Fam Med. 2005;3(2):159-16615798043PubMedGoogle ScholarCrossref
64.
Cheng SH, Chen CC, Hou YF. A longitudinal examination of continuity of care and avoidable hospitalization: evidence from a universal coverage health care system.  Arch Intern Med. 2010;170(18):1671-167720937927PubMedGoogle ScholarCrossref
65.
van Walraven C, Taljaard M, Etchells E,  et al.  The independent association of provider and information continuity on outcomes after hospital discharge: implications for hospitalists.  J Hosp Med. 2010;5(7):398-40520845438PubMedGoogle ScholarCrossref
66.
Newman ED, Harrington TM, Olenginski TP, Perruquet JL, McKinley K. “The rheumatologist can see you now”: successful implementation of an advanced access model in a rheumatology practice.  Arthritis Rheum. 2004;51(2):253-25715077268PubMedGoogle ScholarCrossref
67.
Auerbach AD, Landefeld CS, Shojania KG. The tension between needing to improve care and knowing how to do it.  N Engl J Med. 2007;357(6):608-61317687138PubMedGoogle ScholarCrossref
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    1 Comment for this article
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    Open Access Scheduling Reply
    George P. Valko, MD | Jefferson Medical College of Thomas Jefferson University
    As one of the first academic Family Medicine practices to implement advanced open access scheduling (and which is still in use since 2002), I welcome the article by Rose et al entitled Advanced Access Scheduling Outcomes: A Systematic Review Arch Intern Medicine published online April 25, 2011. doi:10.1001/archinternmed.2011.168. I would like to offer a few comments. Although many studies look at the no-show rate or 3rd next available appointment as markers of success, I find that it is also helpful to look at the overall arrival rate as another marker, which has improved in our large practice initially and remained steady over the years despite changes in the no-show rate; this has translated into improved productivity. What we think may be happening is that number of patients “game the system” knowing that OA works well enough that they can obtain another appointment quickly if they no-show or cancel immediately before their appointment. It has been our policy that we would rather have a filled appointment slot than “punish” a patient for a no-show and leave an appointment time empty. Also, unpublished but peer-presented data showed that patient continuity with their own primary care provider was maintained at 85% for attendings and 61% for PGY1s-3s. There was unfortunately no pre-open access continuity data and this measurement has not been repeated for a few years because of its success. We also have evidence that the further away a patient is scheduled from the time they call for an appointment the more likely they will no-show. Lastly, any scheduling system strains if there is too much demand versus the supply, whether that supply is decreased because of illness, vacation, or attrition. In our case, we seem to outperform the competition for those patients who are looking for a new doctor and get appointments much more quickly than traditionally scheduled practices; therefore one must keep up with the infrastructure and staffing. As part of on overall access improvement that is part of our NCQA Level 3 PCMH, we believe that advanced open access is a benefit to our practice and patients. George Valko, M.D. Gustave and Valla Amsterdam Professor of Family and Community Medicine Vice-Chair for Clinical Programs, Department of Family and Community Medicine, Jefferson Medical College of Thomas Jefferson University
    “Open Access Scheduling in a Large, Urban, Academic Practice: Four Years of Success” - 39th STFM: Annual Spring Conference, San Francisco, California April 27, 2006
    Valko GP: Open Access Scheduling. In Nash DB, Skoufalos, A, Hartman, M, Horwitz, H (eds) practicing medicine in the 21st century, American College of Physician Executives, 243-255, October, 2006.
    Valko GP: “Open Access Curriculum” Society of Teachers of Family Medicine: Future of Family Medicine Task Force’s Competency Based Curriculum. Family Medicine Digital Resource Library

    Conflict of Interest: I have been asked to give a paid 1 hour seminar June 23, 2011 for IHI on our success with open access scheduling.
    CONFLICT OF INTEREST: None Reported
    READ MORE
    Review
    July 11, 2011

    Advanced Access Scheduling Outcomes: A Systematic Review

    Author Affiliations

    Author Affiliations: Brigham and Women's Hospital, Boston, Massachusetts (Dr Rose); Center for Outcomes Research and Evaluation and Section of General Internal Medicine, Yale University School of Medicine, New Haven, Connecticut (Drs Ross and Horwitz).

    Arch Intern Med. 2011;171(13):1150-1159. doi:10.1001/archinternmed.2011.168
    Abstract

    Background Advanced (“open”) access scheduling, which promotes patient-driven scheduling in lieu of prearranged appointments, has been proposed as a more patient-centered appointment method and has been widely adopted throughout the United Kingdom, within the US Veterans Health Administration, and among US private practices.

    Objective To describe patient and physician and/or practice outcomes resulting from implementation of advanced access scheduling in the primary care setting.

    Data Sources Comprehensive search of electronic databases (MEDLINE, Scopus, Web of Science) through August, 2010, supplemented by reference lists and gray literature.

    Study Selection Studies were assessed in duplicate, and reviewers were blinded to author, journal, and date of publication. Controlled and uncontrolled English-language studies of advanced access implementation in primary care were eligible if they specified methods and reported outcomes data.

    Data Extraction Two reviewers collaboratively assessed risk for bias by using the Cochrane Effective Practice and Organisation of Care Group Risk of Bias criteria. Data were independently extracted in duplicate.

    Data Synthesis Twenty-eight articles describing 24 studies met eligibility criteria. All studies had at least 1 source of potential bias. All 8 studies evaluating time to third-next-available appointment showed reductions (range of decrease, 1.1-32 days), but only 2 achieved a third-next-available appointment in less than 48 hours (25%). No-show rates improved only in practices with baseline no-show rates higher than 15%. Effects on patient satisfaction were variable. Limited data addressed clinical outcomes and loss to follow-up.

    Conclusions Studies of advanced access support benefits to wait time and no-show rate. However, effects on patient satisfaction were mixed, and data about clinical outcomes and loss to follow-up were lacking.

    Advanced access is an appointment scheduling system that allows patients to seek and receive health care from their provider at the time of their choosing.1 Traditional scheduling systems arrange appointments for future dates, resulting in each physician's patient care time being mostly scheduled well in advance. Consequently, wait time for appointments can be long, and patients may miss long-scheduled appointments.2 In fact, the average wait time in 2009 for a new nonurgent visit with a US family practice physician was 20 days.3 By contrast, in advanced access, patients are offered an appointment on the day that they call or at the time of their choosing, preferably within 24 hours. This results in few prescheduled appointments and a relatively open schedule. Triage is minimized because everyone is offered an appointment whether for urgent or routine care.

    There has been increased interest in advanced access as waiting times for routine health care have lengthened in recent years3,4 leading to negative health outcomes5 and contributing to emergency department crowding.6,7 The Institute for Healthcare Improvement8 reports working with about 3000 practices to implement advanced access. Both the US Veterans Affairs (VA) system and the United Kingdom National Health Service have implemented advanced access in their extensive networks of ambulatory practices.9,10 In 2003, 47% of National Association of Public Hospitals members reported at least piloting advanced access in their primary care clinics.11

    Proponents of advanced access suggest that it reduces patient waiting times, improves continuity of care, and reduces no-show rates.12-14 On the other hand, skeptics of the system point out that advanced access is difficult to implement, may instead reduce continuity of care, and may leave patients with chronic conditions lost to follow-up.11,12,15,16 Published reports of advanced access implementations are inconsistent. Therefore, given the widespread usage and promotion of advanced access and the uncertainty of its impact on physicians and patients, our objective was to summarize and evaluate the field of research examining the outcomes of advanced access scheduling systems in the primary care setting through a systematic review of the literature.

    Methods
    Data sources and searches

    To identify relevant articles, we searched the following databases: OVID (1950 through August 2010), Scopus (1960 through August 2010), and Web of Science (1900 through August 2010). Search strategies differed, depending on the database. In OVID, we used the keywords “open access or advanc$ access or same-day” combined with the keywords “schedul$ or appoint$.” We also used the keywords “open access or advanc$ access or same-day” combined with the Medical Subject Heading (MeSH) terms “Primary Health Care” and “Appointments and Schedules” using the Boolean term “and.” In Scopus we altered the search terms to comply with search mechanisms and used (schedul* OR appoint*) AND (“open access” OR “advanced access” OR “advance access” OR “same day”). We used the search strategy TS = (schedul* OR appoint*) AND TS = (advanced access OR advance access OR open access) to identify articles in Web of Science. We also hand searched bibliographies of pertinent articles.

    Study selection

    Full-length articles, research letters, and brief reports in English were eligible for inclusion. Of these, we included articles that (1) investigated an advanced access intervention in a primary care setting (including cohort, case-control, cross-sectional, and randomized controlled trials), (2) reported quantitative outcomes for patients and/or providers, and (3) compared intervention and nonintervention data. We excluded conference abstracts because of the preliminary nature of their data. Commentaries, editorials, and narratives not written in scientific format—ie, without a full description of methodology, study population, baseline data, or results, and with no statistical testing—were also excluded.

    One investigator selected articles for review based on title and/or abstract. Two investigators then independently assessed abstracts for inclusion. Reviewers were blinded to author, journal, and date of publication. If an investigator could not make an inclusion decision based on the abstract, the full article was retrieved. Disagreements were resolved by consensus.

    Data extraction and quality assessment

    Two investigators independently extracted data for each study using a standardized form. Main outcomes included success of advanced access implementation (time to the third-next-available appointment), physician and/or practice outcomes (no-show rate, fiscal outcomes, and provider satisfaction), and patient outcomes (patient satisfaction, continuity of care, loss to follow-up, emergency department and/or urgent care use, and chronic disease quality measures). Time to third-next-available appointment is a widely used metric for appointment availability.17 It is preferred over the time to the next available appointment because it does not give the false impression of schedule availability if there is a last-minute cancellation. When time to third-next-available appointment data were reported for both new (long) and return (short) visits, we recorded the result for the return visit. We defined continuity of care as any measure of the frequency with which patients saw their own primary care physician.18-21

    Studies used a variety of questions and reporting methods to describe patient satisfaction. For purposes of analysis, we divided satisfaction questions into 2 broad categories: overall satisfaction and appointment system satisfaction. Overall satisfaction included questions such as “How satisfied are you with today's visit?” Appointment system satisfaction included questions such as “Were you able to get an appointment as soon as you wanted?” or “How satisfied were you with the appointment system?”

    In addition, we abstracted study characteristics and demographics including trial design, funding, country of study, practice setting, number of practices and physicians, number of patients, and length of follow-up.

    There are no validated tools for assessing the quality of quality-improvement studies, which differ from standard therapeutic intervention studies in several important ways, including unit of analysis (typically provider rather than patient) and role of local context. Consequently, we adapted the Cochrane Effective Practice and Organisation of Care Group22 risk of bias criteria to qualitatively report the risk of bias of the study results. These criteria are similar to those found in the Standards for Quality Improvement Reporting Excellence23 guidelines for quality improvement reporting and the Agency for Healthcare Research and Quality Evidence Report on Systems to Rate the Strength of Scientific Evidence.24 We did not consider funding because no studies were commercially funded.

    Data synthesis and analysis

    The limited reporting of the trials and wide variety of outcomes evaluated precluded a meta-analysis of results; consequently, we describe results qualitatively. All study designs are reported together. We hypothesized that if advanced access were an effective strategy, then studies with more successful implementations (defined as those with shorter final time to third-next-available appointment) would be more likely to report successful physician or patient outcomes. The only outcome for which there were enough studies to examine this hypothesis was no-show rate. Consequently, to determine if the success of advanced access implementation affected outcomes, we conducted a linear regression of time to third-next-available appointment on no-show rate.

    We used an Access 2002 database (Microsoft, Redmond, Washington) to conduct blinded, independent reviews of the literature, and SAS software, version 9.2 (SAS Institute, Cary, North Carolina) to conduct the linear regression. Because this study did not consist of direct human subjects research, institutional review board approval was not required.

    Results

    The initial electronic database search identified 2691 citations, of which 2556 were excluded based on title review by 1 investigator (K.D.R.) because they were not about advanced access, were set in specialty settings, were conference abstracts, or were duplicates found in multiple databases (Figure). Two independent, blinded investigators reviewed the remaining 136 article titles and abstracts for selection and excluded 74 because they were not in English (n = 1), not about advanced access (n = 27), were subspecialty studies (n = 9), were reviews, editorials, or nonresearch letters (n = 29), or did not include patient or provider outcomes related to advanced access (n = 8). Of the remaining 62 articles of advanced access implementations in the primary care setting that reported outcomes, 34 more were excluded because they were narratives not written in scientific format (n = 31) or were qualitative studies (n = 3). The resulting 28 articles are included in this systematic review. Since several interventions resulted in more than 1 published article, these 28 articles represented 24 distinct studies.

    Characteristics of the studies are listed in Table 1. Only 1 was a randomized trial. Most took place in the United States in adult medicine practices, and settings ranged from small private offices to large health systems. Follow-up ranged from 3 months to approximately 4 years.

    The overall risk of bias in the studies was high (eTable 1 and eTable 2). Only 1 study randomized physician participants, and this study was subject to substantial contamination and crossover bias. The remaining studies all included self-selected intervention groups in which baseline characteristics often differed between intervention and control groups. Furthermore, at least 6 studies implemented other practice initiatives concurrently with advanced access. Fewer than half of studies reported basic measures of advanced access implementation such as time to third-next-available appointment. An overview of the results for each outcome is given in Table 2.

    Wait time for an appointment

    Eleven articles describing 8 studies reported time to third-next-available appointment, the preferred metric for appointment availability (Table 3).25-29,35,38,40,43-45 Advanced access implementation was associated with a decrease in time to third-next-available appointment in all studies (range, 1-32 days), and the decrease was statistically significant in all 5 studies (6 articles) in which statistical analysis was performed.25,26,29,35,43,44 Five of 8 studies achieved a mean time to third-next-available appointment of less than 5 days (63%); 2 reached less than 2 days (25%).29,35 One additional study of community health centers with advanced access scheduling found that 49% of visits were to providers whose individual average time to third-next-available appointment was 4 days or less in the previous year.41 Two multisite studies found that a greater degree of advanced access implementation was significantly associated with reductions in wait time, although the effect was small.29,46 For example, in the VA system, the degree of advanced access implementation accounted for 7% of the variance in wait time.46

    Four additional studies examined time to next appointment only31,39,47,50; 2 of these achieved an average next available appointment time of 2 days or less.31,47 The VA system as a whole, using data from over 6 million patient visits, reported an improvement in next-appointment availability from 42.9 days to 15.7 days.39

    Physician and practice outcomes

    Besides wait time, the only practice outcome frequently studied was no-show rate, which was reported in 11 studies (Table 4). The change in no-show rate ranged from −24% to 0% and was significantly decreased in 5 studies.27,41,49-51 Of note, 3 of these 5 studies served a population of patients with low socioeconomic status, and all 5 had relatively high baseline no-show rates (16%-43%).27,41,50

    Seven studies reported the impact of advanced access on visit volume, physician compensation, or productivity outcomes. All reported neutral to positive results (Table 4).

    Patient satisfaction

    Four studies reported quantitative data pertaining to overall patient satisfaction (Table 5). Of these, 1 reported statistically significant improvement.27 Quantitative before and after data on satisfaction with the appointment system were reported in 4 studies (Table 5).27,34,36,38,46 None showed significant improvement. In 1, each 10% increase in proportion of same-day appointments was associated with an 8% reduction in satisfaction (odds ratio, 0.92 95% confidence interval, 0.90-0.94).36 However, a VA survey found that patient satisfaction appeared to be higher at facilities with shorter wait times (P = .09).46

    Continuity of care and loss to follow-up

    The effect of advanced access scheduling on continuity of care was explored in 9 studies using multiple methods of assessing continuity (Table 6). Only 2 studies found significant decreases in continuity.32,51 Of these, 1 noted that a provider in the advanced access group was on maternity leave during the brief 4-month period of study follow-up, potentially accounting for this finding.51

    Loss to follow-up was rarely evaluated, and results were mixed. Two studies found no consistent difference in loss to follow-up between advanced access and traditional scheduling.25,33 One study of patients with depression found more patients had primary care follow-up after advanced access implementation (33.0% vs 15.4%) (P = .001) but also noted that fewer followed up after a mental health hospitalization (50.3% vs 65.9%) (P = .001).44 An advanced access VA practice found that 19% of geriatric patients failed to arrange follow-up appointments; however, this study did not report loss to follow-up prior to advanced access implementation.49

    Clinical outcomes

    Emergency department, urgent care, and/or hospitalization rates under advanced access were quantitatively reviewed in 4 articles about 2 studies (Table 6).43-45,48 Urgent care visits decreased significantly in 1 study,43 but neither study found a consistent effect on emergency department visits or hospitalizations.

    Three studies examined clinical outcomes for diabetic patients. All found improvements in glycosylated hemoglobin control (2 statistically significant, but only 1 clinically significant)45,47,48; 1 found significant improvement in lipid control45; and 1 found significant worsening of blood pressure control.48 A before-after report of advanced access implementation in the VA reported dramatic improvement in a wide variety of clinical performance measures39; however, the VA implemented numerous other quality improvement activities during this period that were not accounted for.53,54 A variety of other outcomes were assessed in 1 or 2 studies each (Table 6).

    Effect of success of advanced access implementation on outcomes

    We assessed whether outcomes were better for studies with more successful implementations (shorter time to third-next-available appointment). There was a positive but nonsignificant correlation between time to third-next-available appointment and no-show rate in the 5 studies reporting both measures (R2 = 0.69; P = .10). We were unable to perform similar analyses for other outcomes owing to lack of data.

    Comment

    This systematic review investigated the impact of advanced access scheduling on no-show rates, practice finances, patient satisfaction, continuity of care, health care utilization, and preventive care. In summary, among 28 articles describing 24 implementations, we found that the time to third-next-available appointment consistently decreased with advanced access scheduling, although very few studies were able to achieve same-day access. Overall, advanced access yielded neutral to small positive improvements in no-show rates, continuity, and patient satisfaction, while effects on clinical outcomes were mixed. It is worth noting that these studies report outcomes of advanced access as it has been applied in working practices. The limited nature of the benefits might therefore not be attributable to a failure of the advanced access scheduling itself so much as imperfect implementation (as evidenced by the limited number of studies that were able to achieve same-day access). Nonetheless, since most clinicians would not be likely to apply this intervention in a randomized controlled trial setting, it is useful to examine its real-world effectiveness.

    Any systematic review is dependent on the quality of the studies it evaluates. The studies included in this analysis were rarely conducted in a rigorous fashion. Only 1 was a randomized trial, and only 6 others had a concurrent control group. The remaining studies were conducted in a before-after fashion without accounting for secular trends or other concurrent quality-improvement initiatives, making it impossible to isolate the effect of advanced access scheduling on outcomes. This was particularly problematic for the 3 studies set in the VA system and the 4 studies of practices participating in Institute for Healthcare Improvement programs, in which numerous concurrent quality-improvement activities were undertaken. Moreover, the limited reporting of most studies made it difficult to assess the level of advanced access achieved, while lack of statistical analysis often made it difficult to interpret the results. Very few studies included outcomes of clinical relevance.37,44,45,48,51 The wide variety of practice settings combined with the paucity of data about most outcomes prohibited us from distinguishing which effects were attributable to advanced access itself vs to local context and variability in implementation. Finally, publication bias is always of concern, although we did identify both positive and negative reports.

    Although time to third-next-available appointment declined in all studies, one of the most striking findings was the low number of practices that achieved true same-day access. Only a quarter of studies reporting time to third-next-available appointment achieved 2-day access. It is possible that some of the 16 studies that did not report time to third-next-available appointment achieved successful implementations, and it is also possible that individual sites within multisite studies were successful. Nonetheless, on balance, our results suggest that successful implementation of this scheduling system is challenging. Reasons provided by authors for failure included increased demand of new patients owing to physician shortages, difficulty scheduling physicians to match demand, provider resistance to same-day scheduling, unexpected decreases in appointment supply owing to provider illness or departure, expected changes in supply such as maternity leave and vacations, and irregular schedules of medical trainees.16,25,38 Strategies to overcome these predictable roadblocks have been described,12,13,55 but they do not seem to have been readily implemented in practice.

    No-show rates declined as time to third-next-available appointment declined. However, improvements in no-show rates were less robust than those observed in time to third-next-available appointment and were chiefly seen in studies of underserved populations with a high baseline no-show rate. For practices with lower baseline no-show rates, advanced access did not appear to provide significant benefit. It is possible that there is a “floor” no-show rate below which improvements are unlikely. Regardless, advanced access did not provide the large benefits to no-show rates that have been theoretically postulated.

    Surveys show that health care providers fear that advanced access will decrease continuity if patients are encouraged to be seen immediately by whichever physician is available.16 Our results do not support this concern. Continuity of care decreased markedly in only 1 of 7 studies, a residency site in which irregular house staff schedules made continuity of care extremely challenging when appointments could not be prebooked.51 Conversely, proponents of advanced access contend that the system will improve continuity by improving each provider's availability.12,56 Our findings only partially support this theory: advanced access improved continuity in only half of the studies, and in 1 study, the improvement in continuity was only weakly associated with improvements in wait time.45

    Despite the nearly universal reduction in wait time, patient satisfaction with overall care or with the scheduling system did not consistently improve. Clinicians often assume that shorter wait times for appointments will automatically lead to improved patient satisfaction. In the VA system, patient satisfaction was positively correlated with shorter wait times.46 However, numerous surveys of patients in the United Kingdom have found that scheduling an appointment at a convenient time is more important to patients than speed of access, unless they are presenting with a new health problem.34,57-59 These results are consistent among working patients, patients with chronic illness, women, and older patients.58 Furthermore, one survey found that patients were no more likely to get the type of appointment they wanted (eg, with a particular provider, provider type, or time) in practices with the advanced access system than in those with conventional scheduling systems.34 In fact, satisfaction decreased 8% for every 10% increase in same-day appointments available.36 Thus, a strict focus on reducing wait time for appointments by embargoing appointments—such as has been reported in the National Health Service60—may not be a patient-centered approach to improving scheduling systems. Although this is not the intent of advanced access, which should be able to accommodate requests for appointments, qualitative studies have found that real-world implementations of advanced access often focus on same-day access to the exclusion of other core principles.61

    While advanced access was not designed to improve clinical outcomes per se, as with any intervention it is necessary to ensure that it does not harm patients. Additionally, since prompt care and continuity improve clinical outcomes,62-65 advanced access might be expected to have clinical benefits. Few studies evaluated clinical outcomes, and here the results were mixed. Of the 4 studies analyzing emergency department and/or urgent care use, only 1 showed a decrease in use of these services. Diabetes care was unaffected or mildly improved.45 On-time immunization rates for children were unchanged.51 Overall, it does not appear that advanced access in itself is a particularly robust method of improving clinical outcomes. However, we found no compelling evidence of harm.

    On the other hand, we did find some evidence to support the concern that some patients may be more likely to be lost to follow-up in an advanced access system.29 In one study, nearly one-fifth of geriatric patients failed to make follow-up appointments as requested, although preintervention data were not presented.49 While our systematic review focused on primary care only, a specialty care practice implementing advanced access noted that 50% of patients failed to call for follow-up appointments, indicating that losing patients to follow-up is of concern in specialty settings as well.66

    As advanced access scheduling gains popularity, it is important to have a realistic expectation of its potential benefits.67 We found that most practices attempting advanced access reduce wait time substantially, although few achieve same-day access. For practices with high no-show rates, advanced access appears to yield marked improvements; however, it is less effective for practices with lower baseline no-show rates. Patient satisfaction does not consistently improve and may be contingent on how the advanced access model is applied. Most importantly, data about clinical outcomes and potential harm such as loss to follow-up are lacking. A large randomized trial of open-access scheduling that includes patient outcomes such as satisfaction, continuity of care, quality of care, and health care utilization, along with a rigorous assessment of loss to follow-up, would be valuable to further our understanding of the utility of this scheduling system.

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    Article Information

    Correspondence: Leora I. Horwitz, MD, MHS, Section of General Internal Medicine, PO Box 208093, New Haven, CT 06520-8093 (leora.horwitz@yale.edu).

    Accepted for Publication: February 21, 2011.

    Published Online: April 25, 2011. doi:10.1001/archinternmed .2011.168

    Author Contributions: Dr Horwitz had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis. Study concept and design: Rose and Horwitz. Acquisition of data: Rose and Ross. Analysis and interpretation of data: Rose, Ross, and Horwitz. Drafting of the manuscript: Rose and Horwitz. Critical revision of the manuscript for important intellectual content: Ross. Statistical analysis: Horwitz. Administrative, technical, and material support: Horwitz. Study supervision: Horwitz.

    Financial Disclosure: None reported.

    Funding/Support: This work was supported in part by Clinical and Translational Science Award No. UL1 RR024139 from the National Center for Research Resources, National Institutes of Health (NIH), and the NIH Roadmap for Medical Research (Dr Horwitz), and by grants K08AG032886 and K08AG038336 from the National Institute on Aging and by the Paul B. Beeson Career Development Award Program, American Federation of Aging Research (Drs Ross and Horwitz).

    Role of the Sponsors: No funding source had any role in the study design; in the collection, analysis, and interpretation of data; in the writing of the report; or in the decision to submit the article for publication.

    Previous Presentation: An earlier version of this work was presented at the Society of General Internal Medicine 31st Annual Meeting; April 10, 2008; Pittsburgh, Pennsylvania.

    References
    1.
    Murray M, Tantau C. Redefining open access to primary care.  Manag Care Q. 1999;7(3):45-5510620958PubMedGoogle Scholar
    2.
    George A, Rubin G. Non-attendance in general practice: a systematic review and its implications for access to primary health care.  Fam Pract. 2003;20(2):178-18412651793PubMedGoogle ScholarCrossref
    3.
    Merritt HA. Summary report: 2009 survey of physician appointment wait times. http://www.merritthawkins.com/pdf/mha2009waittimesurvey.pdf. Accessed February 20, 2011
    4.
    Trude S, Ginsburg PB. An update on Medicare beneficiary access to physician services.  Issue Brief Cent Stud Health Syst Change. 2005;2(93):1-415724317PubMedGoogle Scholar
    5.
    Prentice JC, Pizer SD. Delayed access to health care and mortality.  Health Serv Res. 2007;42(2):644-66217362211PubMedGoogle ScholarCrossref
    6.
    Rust G, Ye J, Baltrus P, Daniels E, Adesunloye B, Fryer GE. Practical barriers to timely primary care access: impact on adult use of emergency department services.  Arch Intern Med. 2008;168(15):1705-171018695087PubMedGoogle ScholarCrossref
    7.
    California HealthCare Foundation.  Overuse of emergency departments among insured Californians. http://www.chcf.org/publications/2006/10/overuse-of-emergency-departments-among-insured-californians. Accessed November 1, 2010
    8.
    Institute for Healthcare Improvement.  Advanced access: reducing waits, delays and frustrations in Maine. See website here. Accessed July 20, 2010
    9.
    Pulse.  Government issues advanced access demand. http://www.pulsetoday.co.uk/story.asp?storycode=4116322. Accessed February 8, 2011
    10.
    The Scottish Government.  GP Patient experience survey access results for practices 2010. http://www.scotland.gov.uk/Resource/Doc/924/0099312.pdf. Accessed February 8, 2011
    11.
    Singer IA, Regenstein M. Advanced Access: Ambulatory Care Redesign and the Nation's Safety Net. Washington, DC: National Association of Public Hospitals; 2003
    12.
    Murray M, Tantau C. Same-day appointments: exploding the access paradigm.  Fam Pract Manag. 2000;7(8):45-5011183460PubMedGoogle Scholar
    13.
    Murray M. Patient care: access.  BMJ. 2000;320(7249):1594-159610845975PubMedGoogle ScholarCrossref
    14.
    Boelke C, Boushon B, Isensee S. Achieving open access: the road to improved service & satisfaction.  Med Group Manage J. 2000;47(5):58-62, 64-66, 6811793913PubMedGoogle Scholar
    15.
    Salisbury C. Evaluating open access: problems with the program or the studies?  Ann Intern Med. 2008;149(12):910-911, author reply 91119075216PubMedGoogle Scholar
    16.
    Ahluwalia S, Offredy M. A qualitative study of the impact of the implementation of advanced access in primary healthcare on the working lives of general practice staff.  BMC Fam Pract. 2005;6:3916188036PubMedGoogle ScholarCrossref
    17.
    Murray M, Berwick DM. Advanced access: reducing waiting and delays in primary care.  JAMA. 2003;289(8):1035-104012597760PubMedGoogle ScholarCrossref
    18.
    Bice TW, Boxerman SB. A quantitative measure of continuity of care.  Med Care. 1977;15(4):347-349859364PubMedGoogle ScholarCrossref
    19.
    Given CW, Branson M, Zemach R. Evaluation and application of continuity measures in primary care settings.  J Community Health. 1985;10(1):22-414019823PubMedGoogle ScholarCrossref
    20.
    Magill MK, Senf J. A new method for measuring continuity of care in family practice residencies.  J Fam Pract. 1987;24(2):165-1683806028PubMedGoogle Scholar
    21.
    Patten RC, Friberg R. Measuring continuity of care in a family practice residency program.  J Fam Pract. 1980;11(1):67-717411044PubMedGoogle Scholar
    22.
    Cochrane Effective Practice and Organisation of Care Review Group.  Risk of bias criteria. http://epoc.cochrane.org/epoc-resources-review-authors. Accessed September 7, 2010
    23.
    Ogrinc G, Mooney SE, Estrada C,  et al.  The SQUIRE (Standards for QUality Improvement Reporting Excellence) guidelines for quality improvement reporting: explanation and elaboration.  Qual Saf Health Care. 2008;17:(Suppl 1)  i13-i3218836062PubMedGoogle ScholarCrossref
    24.
    West S, King V, Carey TS,  et al.  Systems to rate the strength of scientific evidence.  Evid Rep Technol Assess (Summ). 2002;3(47):1-1111979732PubMedGoogle Scholar
    25.
    Belardi FG, Weir S, Craig FW. A controlled trial of an advanced access appointment system in a residency family medicine center.  Fam Med. 2004;36(5):341-34515129381PubMedGoogle Scholar
    26.
    Bennett KJ, Baxley EG. The effect of a carve-out advanced access scheduling system on no-show rates.  Fam Med. 2009;41(1):51-5619132573PubMedGoogle Scholar
    27.
    Bundy DG, Randolph GD, Murray M, Anderson J, Margolis PA. Open access in primary care: results of a North Carolina pilot project.  Pediatrics. 2005;116(1):82-8715995036PubMedGoogle ScholarCrossref
    28.
    Dixon S, Sampson FC, O’Cathain A, Pickin M. Advanced access: more than just GP waiting times?  Fam Pract. 2006;23(2):233-23916364952PubMedGoogle ScholarCrossref
    29.
    Pickin M, O’Cathain A, Sampson FC, Dixon S. Evaluation of advanced access in the national primary care collaborative.  Br J Gen Pract. 2004;54(502):334-34015113514PubMedGoogle Scholar
    30.
    Kennedy JG, Hsu JT. Implementation of an open access scheduling system in a residency training program.  Fam Med. 2003;35(9):666-67014523666PubMedGoogle Scholar
    31.
    Meyers ML. Changing business practices for appointing in military outpatient medical clinics: the case for a true “open access” appointment scheme for primary care.  J Healthc Manag. 2003;48(2):125-13912698613PubMedGoogle Scholar
    32.
    Phan K, Brown SR. Decreased continuity in a residency clinic: a consequence of open access scheduling.  Fam Med. 2009;41(1):46-5019132572PubMedGoogle Scholar
    33.
    Rohrer JE, Bernard M, Naessens J, Furst J, Kircher K, Adamson S. Impact of open-access scheduling on realized access.  Health Serv Manage Res. 2007;20(2):134-13917524225PubMedGoogle ScholarCrossref
    34.
    Salisbury C, Goodall S, Montgomery AA,  et al.  Does Advanced Access improve access to primary health care? Questionnaire survey of patients.  Br J Gen Pract. 2007;57(541):615-62117688755PubMedGoogle Scholar
    35.
    Salisbury C, Montgomery AA, Simons L,  et al.  Impact of Advanced Access on access, workload, and continuity: controlled before-and-after and simulated-patient study.  Br J Gen Pract. 2007;57(541):608-61417688754PubMedGoogle Scholar
    36.
    Sampson F, Pickin M, O’Cathain A, Goodall S, Salisbury C. Impact of same-day appointments on patient satisfaction with general practice appointment systems.  Br J Gen Pract. 2008;58(554):641-64318801282PubMedGoogle ScholarCrossref
    37.
    Pickin M, O’Cathain A, Sampson F, Salisbury C, Nicholl J. The impact of Advanced Access on antibiotic prescribing: a controlled before and after study.  Fam Pract. 2010;27(5):554-55520547495PubMedGoogle ScholarCrossref
    38.
    Mehrotra A, Keehl-Markowitz L, Ayanian JZ. Implementing open-access scheduling of visits in primary care practices: a cautionary tale.  Ann Intern Med. 2008;148(12):915-92218559842PubMedGoogle Scholar
    39.
    Armstrong B, Levesque O, Perlin JB, Rick C, Schectman G. Reinventing Veterans Health Administration: focus on primary care.  J Healthc Manag. 2005;50(6):399-408, discussion 40916370126PubMedGoogle Scholar
    40.
    Boushon B, Provost L, Gagnon J, Carver P. Using a virtual breakthrough series collaborative to improve access in primary care.  Jt Comm J Qual Patient Saf. 2006;32(10):573-58417066995PubMedGoogle Scholar
    41.
    Lasser KE, Mintzer IL, Lambert A, Cabral H, Bor DH. Missed appointment rates in primary care: the importance of site of care.  J Health Care Poor Underserved. 2005;16(3):475-48616118837PubMedGoogle ScholarCrossref
    42.
    Lewandowski S, O’Connor PJ, Solberg LI, Lais T, Hroscikoski M, Sperl-Hillen JM. Increasing primary care physician productivity: a case study.  Am J Manag Care. 2006;12(10):573-57617026411PubMedGoogle Scholar
    43.
    Solberg LI, Maciosek MV, Sperl-Hillen JM,  et al.  Does improved access to care affect utilization and costs for patients with chronic conditions?  Am J Manag Care. 2004;10(10):717-72215521163PubMedGoogle Scholar
    44.
    Solberg LI, Crain AL, Sperl-Hillen JM, Hroscikoski MC, Engebretson KI, O’Connor PJ. Effect of improved primary care access on quality of depression care.  Ann Fam Med. 2006;4(1):69-7416449399PubMedGoogle ScholarCrossref
    45.
    Sperl-Hillen JM, Solberg LI, Hroscikoski MC, Crain AL, Engebretson KI, O’Connor PJ. The effect of advanced access implementation on quality of diabetes care.  Prev Chronic Dis. 2008;5(1):A1618082005PubMedGoogle Scholar
    46.
    Lukas CV, Meterko M, Mohr D, Seibert MN. The implementation and effectiveness of advanced clinic access. http://www.colmr.research.va.gov/publications/reports/ACA_FullReport.pdf. Accessed August 25, 2010
    47.
    Radel SJ, Norman AM, Notaro JC, Horrigan DR. Redesigning clinical office practices to improve performance levels in an individual practice association model HMO.  J Healthc Qual. 2001;23(2):11-15, quiz 15, 5211257795PubMedGoogle ScholarCrossref
    48.
    Subramanian U, Ackermann RT, Brizendine EJ,  et al.  Effect of advanced access scheduling on processes and intermediate outcomes of diabetes care and utilization.  J Gen Intern Med. 2009;24(3):327-33319132326PubMedGoogle ScholarCrossref
    49.
    Cherniack EP, Sandals L, Gillespie D, Maymi E, Aguilar E. The use of open-access scheduling for the elderly.  J Healthc Qual. 2007;29(6):45-4818232607PubMedGoogle ScholarCrossref
    50.
    Mallard SD, Leakeas T, Duncan WJ, Fleenor ME, Sinsky RJ. Same-day scheduling in a public health clinic: a pilot study.  J Public Health Manag Pract. 2004;10(2):148-15514967982PubMedGoogle Scholar
    51.
    O’Connor ME, Matthews BS, Gao D. Effect of open access scheduling on missed appointments, immunizations, and continuity of care for infant well-child care visits.  Arch Pediatr Adolesc Med. 2006;160(9):889-89316953011PubMedGoogle ScholarCrossref
    52.
    Parente DH, Pinto MB, Barber JC. A pre-post comparison of service operational efficiency and patient satisfaction under open access scheduling.  Health Care Manage Rev. 2005;30(3):220-22816093888PubMedGoogle Scholar
    53.
    Kizer KW, Demakis JG, Feussner JR. Reinventing VA health care: systematizing quality improvement and quality innovation.  Med Care. 2000;38(6):(Suppl 1)  I7-I1610843266PubMedGoogle Scholar
    54.
    Jha AK, Perlin JB, Kizer KW, Dudley RA. Effect of the transformation of the Veterans Affairs Health Care System on the quality of care.  N Engl J Med. 2003;348(22):2218-222712773650PubMedGoogle ScholarCrossref
    55.
    Murray M, Bodenheimer T, Rittenhouse D, Grumbach K. Improving timely access to primary care: case studies of the advanced access model.  JAMA. 2003;289(8):1042-104612597761PubMedGoogle ScholarCrossref
    56.
    Tantau C. Accessing patient-centered care using the advanced access model.  J Ambul Care Manage. 2009;32(1):32-4319104292PubMedGoogle Scholar
    57.
    Gerard K, Salisbury C, Street D, Pope C, Baxter H. Is fast access to general practice all that should matter? a discrete choice experiment of patients' preferences.  J Health Serv Res Policy. 2008;13:(Suppl 2)  3-1018416923PubMedGoogle ScholarCrossref
    58.
    Rubin G, Bate A, George A, Shackley P, Hall N. Preferences for access to the GP: a discrete choice experiment.  Br J Gen Pract. 2006;56(531):743-74817007703PubMedGoogle Scholar
    59.
    Pascoe SW, Neal RD, Allgar VL. Open-access versus bookable appointment systems: survey of patients attending appointments with general practitioners.  Br J Gen Pract. 2004;54(502):367-36915113521PubMedGoogle Scholar
    60.
    BBC News.  Patients denied advance bookings. http://news.bbc.co.uk/1/hi/health/4112390.stm. Accessed July 29, 2010
    61.
    Pope C, Banks J, Salisbury C, Lattimer V. Improving access to primary care: eight case studies of introducing Advanced Access in England.  J Health Serv Res Policy. 2008;13(1):33-3918325154PubMedGoogle ScholarCrossref
    62.
    Mercer CH, Sutcliffe L, Johnson AM,  et al.  How much do delayed healthcare seeking, delayed care provision, and diversion from primary care contribute to the transmission of STIs?  Sex Transm Infect. 2007;83(5):400-40517475683PubMedGoogle ScholarCrossref
    63.
    Saultz JW, Lochner J. Interpersonal continuity of care and care outcomes: a critical review.  Ann Fam Med. 2005;3(2):159-16615798043PubMedGoogle ScholarCrossref
    64.
    Cheng SH, Chen CC, Hou YF. A longitudinal examination of continuity of care and avoidable hospitalization: evidence from a universal coverage health care system.  Arch Intern Med. 2010;170(18):1671-167720937927PubMedGoogle ScholarCrossref
    65.
    van Walraven C, Taljaard M, Etchells E,  et al.  The independent association of provider and information continuity on outcomes after hospital discharge: implications for hospitalists.  J Hosp Med. 2010;5(7):398-40520845438PubMedGoogle ScholarCrossref
    66.
    Newman ED, Harrington TM, Olenginski TP, Perruquet JL, McKinley K. “The rheumatologist can see you now”: successful implementation of an advanced access model in a rheumatology practice.  Arthritis Rheum. 2004;51(2):253-25715077268PubMedGoogle ScholarCrossref
    67.
    Auerbach AD, Landefeld CS, Shojania KG. The tension between needing to improve care and knowing how to do it.  N Engl J Med. 2007;357(6):608-61317687138PubMedGoogle ScholarCrossref
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