Teamlets?dyadsconsistingofaphysicianandstaffmemberwhoconsistentlyworktogether?maypro- videasimple,efficientwaytoreorganizeprimarycaretocreatehigherqualityandimprovepatient,phy- sician, and staff experience. But little funding or policy attention has been given to teamlets;? there is no quantitative evidence on their prevalence and characteristics and no large scale study of their relation- shiptothequalityandcostofcare.Thelong-termgoalofthisprojectistohelpimproveprimarycareby discovering,evaluating,anddisseminatinginformationonhigh-performingprimarycaremodels.Thekey objectivesofthismixedmethodsprojectaretoassesstheprevalenceandcharacteristicsofprimarycare teamletsintheU.S.,todeterminetherelationshipbetweencaredeliverybyateamletandthequalityand cost of care and physician burnout, and to identify the configurations? the cluster or clusters of charac- teristics?typicalofhigh-performingteamlets.Thecentralhypothesesare(1)thequalityofcareishigher andtotalspendingoncareislowerforMedicarebeneficiarieswhoarepatientsofprimarycareteamlets;? (2) burnout is less likely in physicians who work in teamlets;? (3) teamlet performance increases with the numberofyearsthattheteamlethasworkedtogether?atleastuptoacertainnumberofyearsand(4) thatcertainconfigurationsofcharacteristicsdifferentiatehigh-performingteamlets.
The specificaims are (1) to determine the prevalence and characteristics of primary care teamlets in the U.S.;? (2) determine therelationshipofprimarycareteamletstothequalityandcostofcareandtophysicianburnout,and(3) identify the configurations of characteristics of high-performing primary care teamlets. Methodologically, the project will (1) survey a large random national sample of primary care physicians to determine the prevalenceofteamlets,theircharacteristics,thepredictorsofphysicianparticipationinateamlet,andthe relationshipofteamletstophysicianburnout;?(2)linkthesurveytoMedicareclaimsdatatocomparethe performance of physicians in teamlets to physicians not in teamlets for important outcomes of care;? (3) interview a stratified random sample of teamlets to provide depth of understanding of teamlets and of barrierstotheircreationandsuccess;?and(4)useaninnovativemethod?QualitativeComparativeAnal- ysis?todeterminetheconfigurationsofcharacteristicsthatappeartobenecessaryand/orsufficientfor ateamlettobehigh-performing.Theprojectwillprovidethefirstlargescale,criticalevidenceonwhether primary care teamlets improve care, on the characteristics of high-performing teamlets, and on barriers toandfacilitatorsofcreatingeffectiveteamlets.Thisevidence?thefirstofitskind?willbeusefultopoli- cymakers, leaders of provider organizations, physicians, and researchers trying to determine effective waystoconfiguretheprimarycareworkprocess.

Public Health Relevance

AHRQ?sSpecialEmphasisNoticein2016statedthat?revitalizingtheNation?sprimarycaresys-?? temiscritical?andrequestedinnovativeresearchthataddresses?howdifferentconfigurations ofprimarycareteamsaffecttheeffectivenessandefficiencyofcareandhealthoutcomes...?The proposedresearchonteamletsisrelevanttothismissionbecauseitwillprovidethefirstlarge-?? scaleevidenceonwhetherphysicianspracticinginaprimarycareteamletmeetthesegoalsbet-?? terthanphysiciansnotpracticinginateamlet,andwillidentifythecharacteristicsofhigh-?? performingteamlets.

Agency
National Institute of Health (NIH)
Institute
Agency for Healthcare Research and Quality (AHRQ)
Type
Research Project (R01)
Project #
5R01HS025716-02
Application #
9768969
Study Section
Healthcare Effectiveness and Outcomes Research (HEOR)
Program Officer
Basu, Jayasree
Project Start
2018-09-01
Project End
2021-06-30
Budget Start
2019-07-01
Budget End
2020-06-30
Support Year
2
Fiscal Year
2019
Total Cost
Indirect Cost
Name
Weill Medical College of Cornell University
Department
Other Health Professions
Type
Schools of Medicine
DUNS #
060217502
City
New York
State
NY
Country
United States
Zip Code
10065