DDHA 8006 Week 4 Annotated Bibliography Example

Seven Sources Judged Against One Problem: An Annotated Bibliography on Unclosed Specialty Referrals

Student Name

Walden University

DDHA 8006: Doctor of Healthcare Administration Foundational Concepts

Instructor Name

Month Day, Year

Seven Sources Judged Against One Problem: An Annotated Bibliography on Unclosed Specialty Referrals

Purpose and Standard

The bibliography serves the Week 3 problem statement for Tallgrass, this course's invented nine-practice group, whose referrals too often stall between order and report while no one can tell which ones are still open. Each annotation does three things. It states briefly what the source found. It appraises the source's strength for this problem, considering design, setting and currency. And it states what the source can and cannot contribute to an inquiry bounded to outpatient referrals crossing organizational lines in a nine-practice group. Entries are listed alphabetically.

Entries

Barnett et al. (2012), referral trends

Using national ambulatory care survey data, Barnett et al. (2012) found that referral-generating visits grew sharply over the decade to 2009, both as a share of all visits and in absolute number. Strength: a large, nationally representative dataset analyzed by established health services researchers. Limits: the data record that a referral was made, not whether it was completed, so the source says nothing directly about closure. Contribution: it establishes that the volume of referrals, and therefore the administrative load of tracking them, has grown. It should be cited for scale, not for completion.

Chen et al. (2013), eReferral model

Chen et al. (2013) describe the design and early experience of an electronic referral system in a large public health care system, in which specialists review referrals and can respond with advice, schedule a visit or request more information. Strength: a clear account of a working model by its leaders. Limits: it describes rather than evaluates, and its home is a public system in which the referring and receiving clinicians answer to one management and one chart. Contribution: it shows what a redesigned referral process can look like, but cannot show that the model would increase completion at Tallgrass, where most specialists are in other organizations.

Forrest et al. (2000), coordination and satisfaction

Forrest et al. (2000) surveyed pediatricians and specialists about referrals and found that physicians' satisfaction with referral care was closely related to the coordination of information between them, including whether specialists received the reason for referral and whether primary care received a report. Strength: an early, careful study of coordination from both sides. Limits: pediatric, older and based on physician reports rather than records. Contribution: it supports treating the return of information as part of closing the loop, which justifies including the report back in the problem's definition.

Kim-Hwang et al. (2010), clinician survey

Kim-Hwang et al. (2010) surveyed primary care clinicians at a public hospital after electronic referrals were introduced and found that most reported improved access to specialists and better communication. Strength: an evaluation in a real setting with a safety-net population. Limits: outcomes were clinician perceptions, not measured completion; single institution with an integrated record. Contribution: useful evidence that clinicians value structured referral communication, but weak evidence on whether closure improves.

Mehrotra et al. (2011), referral review

Mehrotra et al. (2011) traced the life of an American specialty referral from start to finish and cataloged what goes wrong at each step, including poorly specified referral questions, scheduling problems, missing information to the specialist and missing reports back, and proposed directions for improvement. Strength: a comprehensive review by leading researchers in a respected journal. Limits: a review that synthesizes varied evidence rather than new data, now more than a decade old. Contribution: the most useful framework for the inquiry, because it breaks referral failure into stages that Tallgrass can measure separately.

Patel et al. (2018), completion in an academic system

Working from the records of a large academic system, Patel et al. (2018) showed that many primary care referrals never turned into a specialist visit, with completion associated with patient, specialty and process factors. Strength: record-based measurement of completion at scale, directly on the outcome of interest. Limits: an integrated academic system, so referrals mostly stayed within one organization and one record. Contribution: the closest model for how Tallgrass might measure completion and which factors to examine, with the limit that crossing organizational lines may change the pattern.

Vimalananda et al. (2015), e-consult review

Vimalananda et al. (2015) pooled studies of e-consults, the arrangement where a specialist answers a primary care question in writing so the patient may never need an appointment, and found evidence of improved timely access and avoided visits in many settings, with variable study quality. Strength: a systematic review across settings. Limits: e-consults address whether a visit is needed, not whether a needed visit is completed. Contribution: relevant to the solution space later, but outside the current problem's bounded stage.

Sources Considered and Not Included

Three kinds of source were considered and left out. Vendor case studies of referral management software were excluded because their authors have a commercial stake and rarely report failures. Studies of hospital discharge referrals were excluded because the discharge setting, with a different workforce and timeline, falls outside the bounded problem. And opinion pieces on care coordination without data were excluded unless, like Chen et al. (2013), they described a working model in enough detail to inform later stages. Recording these exclusions shows the boundaries were applied to the literature as well as to the problem.

What the Set Shows

The set confirms the gap identified in the problem statement. The most directly relevant evidence comes from integrated systems. Solutions have been described and perceived favorably, but their effect on completion in a setting like Tallgrass is unknown.

Table 1

Sources by Contribution to the Bounded Problem

Only one source measures completion directly, and none studies referrals crossing organizational lines in a fragmented market.

Conclusion

Seven sources were judged against one bounded problem. One provides the framework, one the closest measurement model, one the case for including information return and one the scale. Three describe solutions that belong to a later stage. The bibliography points the inquiry toward measuring where referrals fail when they leave the organization, which the literature has not yet done well.

References

Barnett, M. L., Song, Z., & Landon, B. E. (2012). Trends in physician referrals in the United States, 1999-2009. Archives of Internal Medicine, 172(2), 163-170. https://doi.org/10.1001/archinternmed.2011.722

Chen, A. H., Murphy, E. J., & Yee, H. F. (2013). eReferral: A new model for integrated care. New England Journal of Medicine, 368(26), 2450-2453. https://doi.org/10.1056/NEJMp1215594

Forrest, C. B., Glade, G. B., Baker, A. E., Bocian, A., von Schrader, S., & Starfield, B. (2000). Coordination of specialty referrals and physician satisfaction with referral care. Archives of Pediatrics and Adolescent Medicine, 154(5), 499-506. https://doi.org/10.1001/archpedi.154.5.499

Kim-Hwang, J. E., Chen, A. H., Bell, D. S., Guzman, D., Yee, H. F., & Kushel, M. B. (2010). Evaluating electronic referrals for specialty care at a public hospital. Journal of General Internal Medicine, 25(10), 1123-1128. https://doi.org/10.1007/s11606-010-1402-1

Mehrotra, A., Forrest, C. B., & Lin, C. Y. (2011). Dropping the baton: Specialty referrals in the United States. The Milbank Quarterly, 89(1), 39-68. https://doi.org/10.1111/j.1468-0009.2011.00619.x

Patel, M. P., Schettini, P., O'Leary, C. P., Bosworth, H. B., Anderson, J. B., & Shah, K. P. (2018). Closing the referral loop: An analysis of primary care referrals to specialists in a large health system. Journal of General Internal Medicine, 33(5), 715-721. https://doi.org/10.1007/s11606-018-4392-z

Vimalananda, V. G., Gupte, G., Seraj, S. M., Orlander, J., Berlowitz, D., Fincke, B. G., & Simon, S. R. (2015). Electronic consultations (e-consults) to improve access to specialty care: A systematic review and narrative synthesis. Journal of Telemedicine and Telecare, 21(6), 323-330. https://doi.org/10.1177/1357633X15582108