Nurse practitioners are increasingly meeting primary care demands in underserved areas and are more likely to deliver structural capabilities related to chronic disease management.
Objectives: To evaluate structural capabilities in primary care practices employing nurse practitioners (NPs) and test whether they differ across health professional shortage areas (HPSAs) and non-HPSAs.
Study Design: Secondary analysis of cross-sectional survey data and health care workforce data from 2018-2019.
Methods: We computed bivariate analyses and multivariable adjusted regression models to evaluate differences in NP characteristics and practice characteristics and to determine the odds of having particular structural capabilities in HPSA practices compared with non-HPSA practice.
Results: The majority of NPs worked in HPSA practices (61%). We found statistically significant differences in NP educational degrees, practice certifications, and structural capabilities between HPSAs and non-HPSAs. Care coordination was 77% more likely to be delivered in HPSA practices compared with non-HPSA practices (odds ratio, 1.77; P < .05).
Conclusions: Expanding care coordination may be beneficial for HPSA populations with high rates of morbidity and socioeconomic needs. Future research is needed to understand how the NP workforce may be optimized to meet the growing primary care demands in underserved areas.
Am J Manag Care. 2022;28(5):212-217. https://doi.org/10.37765/ajmc.2022.89142
Nurse practitioners (NPs) are more likely to deliver care coordination in health professional shortage areas (HPSAs) compared with non-HPSAs and are meeting the growing demand for primary care in underserved areas.
Providing high-quality primary care has proved to be challenging as the United States faces a national shortage of primary care physicians compounded by growing rates of an aging and chronically ill population.1,2 Currently, 80 million Americans reside in geographic areas known as health professional shortage areas (HPSAs), which are disproportionately affected by a lack of supply of primary care physicians relative to the general population.3 Improving primary care access in HPSAs is critical because maldistribution of the health care workforce is linked to poor health outcomes including disease severity, quality of life, and life expectancy.4,5 Indeed, patient populations residing in HPSAs have higher prevalence of diabetes, hypertension, obesity, and smoking compared with patients not living in these areas. Provider shortages in HPSAs can also exacerbate existing socioeconomic barriers to obtaining care, such as education, housing, or transportation needs.6
Deploying the nurse practitioner (NP) workforce has been identified as an optimal strategy by policy makers and administrators to meet the growing demands in primary care. NPs are the fastest-growing primary care workforce in the United States,7 and approximately 89% of NPs are equipped to deliver primary care.8 NPs demonstrate equivalent patient outcomes to physicians, including disease-specific physiologic measures, symptom reduction, and acute care utilization.9-12
NPs are specifically equipped to expand primary care in HPSAs for patients with high rates of multimorbidity and complex social needs because NPs are trained in comprehensive and holistic care emphasizing a patient’s broad health needs and their social and emotional well-being.13 Indeed, NPs are significantly more likely to care for patients with 3 or more chronic conditions compared with physicians (25.9% vs 20.8%)14 and to deliver chronic disease services such as disease education and counseling.15,16 Further, in US states with full scope-of-practice regulation—meaning NPs can independently evaluate, diagnose, interpret tests, and treat patients—NPs are more likely to practice and reside in HPSAs compared with physicians.17,18 Full scope-of-practice regulation for NPs is also associated with an approximate 30% increase in yearly checkups in HPSAs.19
However, little is known about the practice infrastructure or integrated features (ie, structural capabilities) used by NPs to enhance primary care delivery in HPSAs. Previous research demonstrates that practice structural capabilities can improve primary care access through extended practice hours and delivery of chronic care through reminders for provider workflows, or care coordination.20,21 Care coordination, for example, consists of the integration of personnel or activities used to manage patient care across the health care spectrum and has been shown to be associated with lower medical expenditures, inpatient hospitalizations, emergency department (ED) visits, and 30-day readmission rates.22,23 Other structural capabilities such as availability of chronic disease registries—designed to support providers in managing patients with chronic illness through tracking systems, clinician reminders, and checklists21—have been shown to improve patient outcomes and to support practices in achieving the standard of care for ongoing chronic care.24,25
Despite such findings, it is unclear whether HPSA practices that are employing the growing NP workforce implement specific structural capabilities to meet the needs of their complex and chronically ill patient populations. Such evidence is needed to understand how the NP workforce may be optimized to expand access to primary care in underserved areas. To fill this gap, our study assessed primary care practice structural capabilities in practices employing NPs and tested whether they differ across HPSAs and non-HPSAs.
Data Sources and Collection
This study was a secondary analysis of cross-sectional data from 2 sources: (1) survey data collected from primary care NPs in 2018-2019 (principal investigator: Poghosyan; R01MD011514) on NP characteristics, practice setting, and structural capabilities; and (2) publicly available data from the Health Resources and Services Administration (HRSA) from 2018-2019 on HPSA designation.
Survey data were collected from primary care NPs as part of a large study focused on racial and ethnic disparities in chronic disease outcomes and NP practice. Researchers sent surveys to 10,237 NPs in primary care settings across 6 geographically diverse states. NPs were identified through the OneKey database from IQVIA, which includes the most complete information on office-based providers in the United States.26 Using a modified Dillman method, 3 rounds of mail and online surveys were sent out to eligible NPs with reminder postcards and phone calls to nonresponders.27 Overall, 1244 NPs in 1109 practices completed and returned the surveys, with a response rate of 31.2%. A nonresponse analysis was conducted and determined to have low bias.28
Data on HPSA designation were collected by researchers for the large study. HPSA designation was obtained from the Primary Care Service Area files, which contain data on primary care availability in communities and are maintained by the Dartmouth Institute. Data on HPSA designation are updated regularly and made publicly available by HRSA.
Survey data on NP practices were merged with data on HPSA designation using zip code information available both in the NP survey and in the Primary Care Service Area files. The NP survey provided either 5-digit or 4-digit zip codes on NP practice location, and the Primary Care Service Area files provided 9-digit zip codes to identify HPSA geographic areas. Crosswalk files from the US Department of Housing and Urban Development were used to link differing zip code levels using an incident fraction for each 9-digit and 5-digit zip code to account for differences in geographic scales.29
We extracted data from the parent study from Arizona and Washington because these states have full scope-of-practice regulation. NPs are more likely to practice and reside in HPSAs in states with full scope-of-practice regulation.17,18 We sampled surveys from 366 NPs across 269 unique practices in Arizona (46%) and Washington (54%).
HPSA. Our independent variable of interest was HPSA designation calculated on a range from 0 to 25. Criteria for designation are (1) the population to provider ratio (10-point maximum), (2) percentage of the population below 100% of the federal poverty level (5-point maximum), (3) travel time to the nearest source of care outside the HPSA (5-point maximum), and (4) infant health index (5-point maximum).3 Practices without any HPSA score (HPSA score 0 or not applicable) were coded as “non-HPSA,” and practices with any score (HPSA score 1-25) were coded as “HPSA,” indicating geographic areas or populations with inadequate access to primary care.
Structural capabilities. Structural capabilities were obtained from the Structural Capability Index (SCI) contained within NP survey data. The SCI is a validated measure used to evaluate primary care practice attributes linked with high-quality care delivery.21,30 Previous research has used the SCI to explore structural capabilities in medical homes and the impact of various structural capabilities on patient outcomes, patient satisfaction, and quality of care.20,21,30,31
We selected 4 subscales on the SCI that have been shown to expand access to care and improve ongoing disease management: (1) shared systems for communication (3 items), shown to improve patient satisfaction and enhance timely communication between patients and providers32,33; (2) care coordination (7 items), associated with lower medical expenditures, hospitalizations, ED visits, and readmission rates22,23; (3) chronic disease registries (1 item), shown to improve patient outcomes and support practices to achieve the standard for chronic care in diabetes and hypertension24,25,34; and (4) after-hours care (2 items), which is associated with reduced ED utilization, lower expenditures, and lower rates of unmet medical needs.35,36
The majority of structural capabilities were measured on subscales with binary (yes/no) responses in which NPs reported on the presence or absence of each structural capability. We dichotomized subscales with multiple items by operationalizing the entire subscale as present if more than 50% of items were reported as present. This method of standardization is consistent with prior research.21 Table 1 provides the corresponding survey items for each capability evaluated.
Covariates.To isolate the relationship between HPSA and practice capabilities, we controlled for NP demographics and characteristics including age, gender, race, education (ie, highest educational degree received), time employed (ie, time working at current practice), and certification. Practice characteristics included practice type (eg, physician practice, community health center, hospital-based clinic) and practice size (eg, number of NPs, physicians, or physician assistants).
Descriptive statistics were computed to describe the characteristics of NP respondents and their practices. Bivariate χ2 analyses were computed to evaluate differences in NP and practice characteristics across HPSAs and non-HPSAs. We built multivariate logistic regression models to evaluate the odds of having a structural capability in a HPSA practice compared with a non-HPSA practice. Multicollinearity was assessed between covariates by calculating the variance inflation factor and were determined to be acceptable. Final models adjusted for NP demographics and practice characteristics. We also adjusted for the clustering of NPs within practices to ensure that the sample variance was not underestimated and to decrease the potential for type 1 error. Analyses were performed using RStudio version 1.3.
Table 2 presents the characteristics of NPs and primary care practices in our sample in HPSAs and non-HPSAs. Overall, 366 NPs responded in 269 distinct practices. The majority of NPs (61%) practiced in areas designated as HPSAs. Demographic characteristics of NPs in HPSA practices were generally similar to those in non-HPSAs. The mean age of NPs in our sample was 50 years. In both HPSA and non-HPSA practices, the plurality of NPs were female (85%-87%), aged between 31 and 44 years, and had worked at their current primary care practice for 5 years or fewer. HPSAs had similar racial composition to non-HPSAs; in both HPSAs and non-HPSAs, the largest percentage of NPs was White or Caucasian (87% in HPSAs vs 84% in non-HPSAs) and the second largest was Asian (6.8% in HPSAs vs 10% in non-HPSAs).
There were statistically significant differences in educational degrees and practice certifications between NPs in HPSAs and those in non-HPSAs. NPs in HPSAs were significantly more likely to have a greater distribution of specialties such as hospice, midwifery, wound care, or HIV medicine compared with NPs in non-HPSAs (6.7% vs 2.8%; P < .05). In HPSAs, NPs were less likely to have only an adult certification (11% vs 18%; P < .05). In HPSA practices, a lower percentage of NPs had a doctorate degree (18% vs 22%; P < .05). All NPs in non-HPSAs had graduate degrees at either the master’s or doctoral level. Practice size was similar in HPSAs and non-HPSAs. The plurality of practices in both HPSAs and non-HPSAs (37%) were run by more than 7 primary providers including NPs, physicians, and physician assistants.
The prevalence of structural capabilities across all primary care practices in our sample is demonstrated in Table 3 and calculated based on the percentage of NP respondents. The most prevalent structural capability across practices was chronic disease registries (65%). The least prevalent practice capability was access to after-hours care during the week (24%) and on the weekends (30%). Only 43% of practices offered care coordination.
Results from our regression models show significant differences in structural capabilities across HPSAs and non-HPSAs (Table 4). NPs who practiced in HPSAs were 68% more likely to have care coordination (odds ratio [OR], 1.68; P < .05), even after controlling for differences in individual NP and practice characteristics (OR, 1.77; P < .05). Although the difference was not significant, NPs who practiced in HPSAs were also more likely to report implementing chronic disease registries. Both unadjusted and adjusted regressions demonstrated that NPs in HPSA practices were 26% more likely to implement chronic disease registries (OR, 1.26; P = .33).
There was no significant difference in shared communication systems or after-hours care across HPSA and non-HPSA practices, but NPs who practiced in HPSAs were slightly less likely to have shared communication compared with NPs in non-HPSAs (unadjusted OR, 0.99; P = .95). On the other hand, NPs in HPSA practices were slightly more likely to offer after-hours care even after accounting for differences in practice size and NP demographics (OR, 1.07; P = .81). However, neither of these relationships were statistically significant.
Using cross-sectional survey data from 2 states, this study explored the association between primary care practice structural capabilities and HPSA designation. We found that NPs were significantly more likely to deliver care coordination in practices located in HPSAs compared with non-HPSAs. Delivering care coordination has been shown to improve disease management and reduce ED utilization specifically for patients with complex needs and multimorbidity,22,37 and care coordination may be used more frequently in HPSA practices to support their complex and chronically ill populations. Further, care coordination is also more likely to be primarily delivered by NPs, underscoring the key role of NPs in enhancing primary care delivery.
Although the difference was not statistically significant, our study also demonstrated that NPs in HPSA practices are more likely to implement disease registries. Disease registries and reminders for chronic care are associated with improved patient outcomes including reaching target adherence measures for diabetes and achieving clinical practice guidelines for care,25,34 as well as lower per-beneficiary spending.24 Additionally, disease registries may be used on paper rather than implementing new software or electronic health records.38 Thus, disease registries show promise in improving chronic care at low cost to practices.
We evaluated states with full scope-of-practice laws to assess how to optimize NPs in underserved areas when they are able to practice as independent providers. Consistent with research that found that NPs are more likely to practice in HPSAs in states with full scope-of-practice regulations,17,18 we found that the majority of NPs in our sample (61%) were working in HPSA practices. However, the formula used to designate primary care HPSAs does not take into account the availability of additional primary care providers such as NPs or physicians, which may complicate the accuracy of evaluating differences across HPSA designations.3
Consequentially, in this study the extent of differences across HPSA designation in NP characteristics and structural capabilities was largely insignificant. Existing research similarly demonstrates small and insignificant differences in patient health status and access to care across HPSAs and non-HPSAs.39 We recommend that future research continues to evaluate patient and provider outcomes across HPSA designation to test the sensitivity of HPSA criteria and designation status. Further, refining the HPSA criteria to include availability of the NP workforce would be an important contribution to inform policy and demonstrate more accurately how NPs are meeting the primary care needs of underserved areas.
Implications for Practice and Policy
Substantial evidence exists demonstrating the positive impact of care coordination on a variety of indicators including improved quality of life, decreased medical expenditures, and lower rates of inpatient hospitalizations.23,40 Yet only 43% of NPs in our sample reported delivering care coordination at their practices. Two strategies may be used to support care coordination implementation: First, enhancing practice infrastructure through dedicated personnel, electronic medical records, or psychosocial resources can be useful to facilitate effective care coordination delivery.41 Second, emphasizing the use of chronic care management codes from CMS can incentivize practices by reimbursing for care management or coordination for Medicare beneficiaries.42
This study was conducted in states with full scope-of-practice regulations for NPs, and many of the structural capabilities that we studied (ie, care coordination and disease management) are primarily delivered by NPs.15,16 We chose full scope-of-practice states to control for regulatory differences. Consequentially, we were unable to assess whether variation in scope-of-practice regulation (ie, full vs reduced vs restricted practice laws) modifies the relationship between HPSA designation and the presence of structural capabilities. Thus, it is unclear whether the extent of regulation impacts the presence or delivery of structural capabilities. Future research should consider how restrictive scope-of-practice regulation may affect implementation of structural capabilities in order to make actionable policy recommendations for optimizing NP care delivery and improving primary care access in underserved areas.
We sampled NPs from 2 states, limiting the extent to which these findings can be generalized to other states. Self-reported survey data are subject to self-report bias. To control biases, validated tools were used with rigorous methodology throughout survey development and data collection. We were unable to assess whether there were differences in the quality of structural capabilities that may exist among practices. For example, NPs reported only on the presence of structural capabilities within their practices, rather than their actual or perceived efficacy. We also did not include whether NPs were practicing in teams or independently and how the presence of teams may affect the implementation of structural capabilities within a practice. Lastly, the use of cross-sectional data limits our ability to infer causation.
We found statistically significant differences in NP educational degrees, practice certifications, and structural capabilities between HPSA and non-HPSAs. NPs in HPSA-designated primary care practices were significantly more likely to have care coordination compared with those in practices that are located in areas with adequate access to primary care. Expanding care coordination may be beneficial for complex and chronically ill patients residing in HPSAs. Future research is needed to understand how to optimize the NP workforce and implementation of structural capabilities to meet the growing demands for primary care in underserved areas.
Author Affiliations: School of Nursing (AB, AES, VH, JL, LP) and Mailman School of Public Health (LP), Columbia University, New York, NY; University of Pittsburgh (GM), Pittsburgh, PA.
Source of Funding: The data were produced from a project supported by the Agency for Healthcare Research and Quality (AHRQ), PI: Poghosyan, R01MD011514.
Author Disclosures: Dr Schlak is a postdoctoral research fellow funded by the National Institute of Nursing Research Training Grant (T32-NR014205, Stone) during the conduct of the study. Dr Poghosyan received AHRQ grant R01MD011514. The remaining authors report no relationship or financial interest with any entity that would pose a conflict of interest with the subject matter of this article.
Authorship Information: Concept and design (AB, GM, AES, VH, LP); acquisition of data (GM, JL, LP); analysis and interpretation of data (AB, AES, JL); drafting of the manuscript (AB, AES, VH); critical revision of the manuscript for important intellectual content (AB, AES, VH, LP); statistical analysis (AB, JL); obtaining funding (GM); and supervision (GM, JL, LP).
Address Correspondence to: Ani Bilazarian, PhD, BSN, RN, Columbia University School of Nursing, 560 W 168th St, New York, NY 10032. Email: email@example.com.
1. Duchovny N, Trachtman S, Werble E. Projecting demand for the services of primary care doctors. Congressional Budget Office. May 2017. Accessed February 5, 2021. https://www.cbo.gov/system/files/115th-congress-2017-2018/workingpaper/52748-workingpaper.pdf
2. Raghupathi W, Raghupathi V. An empirical study of chronic diseases in the United States: a visual analytics approach to public health. Int J Environ Res Public Health. 2018;15(3):431. doi:10.3390/ijerph15030431
3.HPSA Find. Health Resources and Services Administration. Accessed January 5, 2021. https://data.hrsa.gov/tools/shortage-area/hpsa-find
4. Allen NB, Diez-Roux A, Liu K, Bertoni AG, Szklo M, Daviglus M. Association of health professional shortage areas and cardiovascular risk factor prevalence, awareness, and control in the Multi-Ethnic Study of Atherosclerosis (MESA). Circ Cardiovasc Qual Outcomes. 2011;4(5):565-572. doi:10.1161/CIRCOUTCOMES.111.960922
5. Basu S, Berkowitz SA, Phillips RL, Bitton A, Landon BE, Phillips RS. Association of primary care physician supply with population mortality in the United States, 2005-2015. JAMA Intern Med. 2019;179(4):506-514. doi:10.1001/jamainternmed.2018.7624
6. Streeter RA, Snyder JE, Kepley H, Stahl AL, Li T, Washko MM. The geographic alignment of primary care health professional shortage areas with markers for social determinants of health. PLoS One. 2020;15(4):e0231443. doi:10.1371/journal.pone.0231443
7. Auerbach DI, Staiger DO, Buerhaus PI. Growing ranks of advanced practice clinicians — implications for the physician workforce. N Engl J Med. 2018;378(25):2358-2360. doi:10.1056/nejmp1801869
8.Nurse practitioners in primary care. American Association of Nurse Practitioners. Accessed January 6, 2021. https://www.aanp.org/advocacy/advocacy-resource/position-statements/nurse-practitioners-in-primary-care
9. Buerhaus P, Perloff J, Clarke S, O’Reilly-Jacob M, Zolotusky G, DesRoches CM. Quality of primary care provided to Medicare beneficiaries by nurse practitioners and physicians. Med Care. 2018;56(6):484-490. doi:10.1097/MLR.0000000000000908
10. Kuo YF, Chen NW, Baillargeon J, Raji MA, Goodwin JS. Potentially preventable hospitalizations in Medicare patients with diabetes: a comparison of primary care provided by nurse practitioners versus physicians. Med Care. 2015;53(9):776-783. doi:10.1097/MLR.0000000000000406
11. Kurtzman ET, Barnow BS. A comparison of nurse practitioners, physician assistants, and primary care physicians’ patterns of practice and quality of care in health centers. Med Care. 2017;55(6):615-622. doi:10.1097/MLR.0000000000000689
12. Yang Y, Long Q, Jackson SL, et al. Nurse practitioners, physician assistants, and physicians are comparable in managing the first five years of diabetes. Am J Med. 2018;131(3):276-283.e2. doi:10.1016/j.amjmed.2017.08.026
13. Grant J, Lines L, Darbyshire P, Parry Y. How do nurse practitioners work in primary health care settings? a scoping review. Int J Nurs Stud. 2017;75:51-57. doi:10.1016/j.ijnurstu.2017.06.011
14. Fraze TK, Briggs ADM, Whitcomb EK, Peck KA, Meara E. Role of nurse practitioners in caring for patients with complex health needs. Med Care. 2020;58(10):853-860. doi:10.1097/MLR.0000000000001364
15. Lin SX, Gebbie KM, Fullilove RE, Arons RR. Do nurse practitioners make a difference in provision of health counseling in hospital outpatient departments? J Am Acad Nurse Pract. 2004;16(10):462-466. doi:10.1111/j.1745-7599.2004.tb00425.x
16. Ritsema TS, Bingenheimer JB, Scholting P, Cawley JF. Differences in the delivery of health education to patients with chronic disease by provider type, 2005-2009. Prev Chronic Dis. 2014;11:E33. doi:10.5888/pcd11.130175
17. DePriest K, D’Aoust R, Samuel L, Commodore-Mensah Y, Hanson G, Slade EP. Nurse practitioners’ workforce outcomes under implementation of full practice authority. Nurs Outlook. 2020;68(4):459-467. doi:10.1016/j.outlook.2020.05.008
18. Xue Y, Kannan V, Greener E, et al. Full scope-of-practice regulation is associated with higher supply of nurse practitioners in rural and primary care health professional shortage counties. J Nurs Regul. 2018;8(4):5-13. doi:10.1016/S2155-8256(17)30176-X
19. Traczynski J, Udalova V. Nurse practitioner independence, health care utilization, and health outcomes. J Health Econ. 2018;58:90-109. doi:10.1016/j.jhealeco.2018.01.001
20. Friedberg MW, Coltin KL, Safran DG, Dresser M, Zaslavsky AM, Schneider EC. Associations between structural capabilities of primary care practices and performance on selected quality measures. Ann Intern Med. 2009;151(7):456-463. doi:10.7326/0003-4819-151-7-200910060-00006
21. Martsolf GR, Ashwood S, Friedberg MW, Rodriguez HP. Linking structural capabilities and workplace climate in community health centers. Inquiry. 2018;55:46958018794542. doi:10.1177/0046958018794542
22. Berkowitz SA, Parashuram S, Rowan K, et al; Johns Hopkins Community Health Partnership (J-CHiP) Team. Association of a care coordination model with health care costs and utilization: the Johns Hopkins Community Health Partnership (J-CHiP). JAMA Netw Open. 2018;1(7):e184273. doi:10.1001/jamanetworkopen.2018.4273
23. Powers BW, Modarai F, Palakodeti S, et al. Impact of complex care management on spending and utilization for high-need, high-cost Medicaid patients. Am J Manag Care. 2020;26(2):e57-e63. doi:10.37765/ajmc.2020.42402
24. Burton RA, Zuckerman S, Haber SG, Keyes V. Patient-centered medical home activities associated with low Medicare spending and utilization. Ann Fam Med. 2020;18(6):503-510. doi:10.1370/afm.2589
25. Peterson KA, Carlin C, Solberg LI, Jacobsen R, Kriel T, Eder M. Redesigning primary care to improve diabetes outcomes (the UNITED Study). Diabetes Care. 2020;43(3):549-555. doi:10.2337/dc19-1140
26. DesRoches CM, Barrett KA, Harvey BE, et al. The results are only as good as the sample: assessing three national physician sampling frames. J Gen Intern Med. 2015;30(suppl 3):S595-S601. doi:10.1007/s11606-015-3380-9
27. Hoddinott SN, Bass MJ. The Dillman total design survey method. Can Fam Phys. 1986;32:2366-2368.
28. Harrison JM, Germack HD, Poghosyan L, D’Aunno T, Martsolf G. Methodology for a six-state survey of primary care nurse practitioners. Nurs Outlook. 2021;69(4):609-616. doi:10.1016/j.outlook.2021.01.010
29. Din A, Wilson R. Crosswalking zip codes to census geographies: geoprocessing the U.S. Department of Housing & Urban Development’s zip code crosswalk files. Cityscape. 2020;22(1):293-314. https://www.jstor.org/stable/26915499
30. Friedberg MW, Safran DG, Coltin KL, Dresser M, Schneider EC. Readiness for the patient-centered medical home: structural capabilities of Massachusetts primary care practices. J Gen Intern Med. 2009;24(2):162-169. doi:10.1007/s11606-008-0856-x
31. Martsolf GR, Kandrack R, Baird M, Friedberg MW. Estimating associations between medical home adoption, utilization, and quality: a comparison of evaluation approaches. Med Care. 2018;56(1):25-30. doi:10.1097/MLR.0000000000000842
32. Liederman EM, Morefield CS. Web messaging: a new tool for patient-physician communication. J Am Med Inform Assoc. 2003;10(3):260-270. doi:10.1197/jamia.M1259
33. Sada YH, Street RL Jr, Singh H, Shada R, Naik AD. Primary care and communication in shared cancer care: a qualitative study. Am J Manag Care. 2011;17(4):259-265.
34. Hoque DME, Kumari V, Hoque M, Ruseckaite R, Romero L, Evans SM. Impact of clinical registries on quality of patient care and clinical outcomes: a systematic review. PLoS One. 2017;12(9):e0183667. doi:10.1371/journal.pone.0183667
35. Jerant A, Bertakis KD, Fenton JJ, Franks P. Extended office hours and health care expenditures: a national study. Ann Fam Med. 2012;10(5):388-395. doi:10.1370/afm.1382
36. O’Malley AS. After-hours access to primary care practice linked with lower emergency department use and less unmet medical need. Health Aff (Millwood). 2013;32(1):175-183. doi:10.1377/hlthaff.2012.0494
37. Capp R, Misky GJ, Lindrooth RC, et al. Coordination program reduced acute care use and increased primary care visits among frequent emergency care users. Health Aff (Millwood). 2017;36(10):1705-1711. doi:10.1377/hlthaff.2017.0612
38. Orzano AJ, Strickland PO, Tallia AF, et al. Improving outcomes for high-risk diabetics using information systems. J Am Board Fam Med. 2007;20(3):245-251. doi:10.3122/jabfm.2007.03.060185
39. Liu JJ. Health professional shortage and health status and health care access. J Health Care Poor Underserved. 2007;18(3):590-598. doi:10.1353/hpu.2007.0062
40. Marek KD, Stetzer F, Ryan PA, et al. Nurse care coordination and technology effects on health status of frail older adults via enhanced self-management of medication: randomized clinical trial to test efficacy. Nurs Res. 2013;62(4):269-278. doi:10.1097/NNR.0b013e318298aa55
41. Friedman A, Howard J, Shaw EK, Cohen DJ, Shahidi L, Ferrante JM. Facilitators and barriers to care coordination in patient-centered medical homes (PCMHs) from coordinators’ perspectives. J Am Board Fam Med. 2016;29(1):90-101. doi:10.3122/jabfm.2016.01.150175
42. Agarwal SD, Barnett ML, Souza J, Landon BE. Medicare’s care management codes might not support primary care as expected. Health Aff (Millwood). 2020;39(5):828-837. doi:10.1377/hlthaff.2019.00329