Evidence map›Paper›PMID 30326876›Full record

Observational studyBMC medical informatics and decision making2018

On the effect of electronic patient portal on primary care utilization and appointment adherence.

Xiang Zhong, Muxuan Liang, Reynerio Sanchez, Menggang Yu, Pamela R Budd, Julie L Sprague, Marvin A Dewar

Abstract readObservational Study
In one paragraph

Observational study in BMC medical informatics and decision making, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

31 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Electronic Patient Portal Use Among People Living With HIV.Journal of medical Internet research · 2023
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Tablet distribution to veterans: an opportunity to increase patient portal adoption and use.Journal of the American Medical Informatics Association : JAMIA · 2022
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Xiang ZhongDepartment of Industrial and Systems Engineering, University of Florida, 482 Weil Hall, PO BOX 116595, Gainesville, FL, 32611-6595, USA. xiang.zhong@ise.ufl.edu.ORCID 0000-0002-6214-5876
Muxuan LiangDepartment of Statistics, University of Wisconsin - Madison, Madison, WI, USA.
Reynerio SanchezDepartment of Industrial and Systems Engineering, University of Florida, 482 Weil Hall, PO BOX 116595, Gainesville, FL, 32611-6595, USA.
Menggang YuDepartment of Biostatistics & Medical Informatics, University of Wisconsin - Madison, Madison, WI, USA.
Pamela R BuddUF Health, Gainesville, FL, USA.
Julie L SpragueUF Health, Gainesville, FL, USA.
Marvin A DewarUF Health, Gainesville, FL, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe objective of this study was to investigate the impact of patient portal adoption on patients' primary care utilization and appointment adherence.

methodsWe conducted a retrospective observational study using a panel difference-in-differences (DID) framework to investigate the use of primary care services by patients, adjusting for their disease burden and allowing for time-dependent portal effect. A large dataset with 46,544 patients of University of Florida (UF) Health during the study period July 2013 - June 2016 was used. The main outcome measures are disease burden adjusted rates of office visits arrived, no-show, and cancellation to primary care physicians (PCPs) per quarter between patient portal adopters (denoted as users) and non-users.

resultsAt the time of adoption, the quarterly PCP office visit rate ratio (RR) of patient portal users to non-users was 1.33 (95% CI, 1.27-1.39; p < 0.001). The RRs were between 0.94 to 0.99 up to four quarters after portal adoption (p = 0.749, 0.100, 0.131, and 0.091, respectively), and were significantly less than one at the seventh (RR =0.82; 95% CI, 0.73-0.91; p < 0.001) and the eighth (RR = 0.80; 95% CI, 0.70-0.90; p < 0.001) quarters post adoption. The quarterly no-show rates of the users were significantly smaller (RRs were between 0.60 and 0.83) except for the seventh, eighth and tenth quarters post adoption. In these three quarters, the no-show rates were not significantly changed (p = 0.645, 0.295, and 0.436, respectively). Quarterly cancellation rates were not significantly affected by portal adoption (p > 0.05 for all cases).

conclusionsPatient portal users' disease burden adjusted PCP office visit rate was significantly reduced in one and a half year and thereafter post portal adoption. PCP appointment no-show rate was also significantly reduced and cancellation rate was not affected, implying improved care engagement of patients.

Indexed as

Appointments and SchedulesPatient PortalsAdolescentAdultAgedChildChild, PreschoolFacilities and Services UtilizationFemaleHumansInfantInfant, NewbornMaleMiddle AgedOffice VisitsPatient ComplianceAppointment adherenceCausal inferenceDisease processPanel-DIDPatient portalPrimary care utilization

Identifiers

PMID30326876
PMCPMC6192126

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.