Literature DB >> 17548846

Competing demands or clinical inertia: the case of elevated glycosylated hemoglobin.

Michael L Parchman1, Jacqueline A Pugh, Raquel L Romero, Krista W Bowers.   

Abstract

PURPOSE: This study aimed to examine the contribution of competing demands to changes in hypoglycemic medications and to return appointment intervals for patients with type 2 diabetes and an elevated glycosylated hemoglobin (A1c) level.
METHODS: We observed 211 primary care encounters by adult patients with type 2 diabetes in 20 primary care clinics and documented changes in hypoglycemic medications. Competing demands were assessed from length of encounter, number of concerns patients raised, and number of topics brought up by the clinician. Days to the next scheduled appointment were obtained at patient checkout. Recent A1c values and dates were determined from the chart.
RESULTS: Among patients with an A(1c) level greater than 7%, each additional patient concern was associated with a 49% (95% confidence interval, 35%-60%) reduction in the likelihood of a change in medication, independent of length of the encounter and most recent level of A1c. Among patients with an A(1c) level greater than 7% and no change in medication, for every additional minute of encounter length, the time to the next scheduled appointment decreased by 2.8 days (P = .001). Similarly, for each additional 1% increase in A1c level, the time to the next scheduled appointment decreased by 8.6 days (P=.001).
CONCLUSIONS: The concept of clinical inertia is limited and does not fully characterize the complexity of primary care encounters. Competing demands is a principle for constructing models of primary care encounters that are more congruent with reality and should be considered in the design of interventions to improve chronic disease outcomes in primary care settings.

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Year:  2007        PMID: 17548846      PMCID: PMC1886492          DOI: 10.1370/afm.679

Source DB:  PubMed          Journal:  Ann Fam Med        ISSN: 1544-1709            Impact factor:   5.166


  26 in total

1.  Tailoring tobacco counseling to the competing demands in the clinical encounter.

Authors:  C R Jaén; H McIlvain; L Pol; R L Phillips; S Flocke; B F Crabtree
Journal:  J Fam Pract       Date:  2001-10       Impact factor: 0.493

2.  Practice jazz: understanding variation in family practices using complexity science.

Authors:  W L Miller; R R McDaniel; B F Crabtree; K C Stange
Journal:  J Fam Pract       Date:  2001-10       Impact factor: 0.493

Review 3.  Clinical inertia.

Authors:  L S Phillips; W T Branch; C B Cook; J P Doyle; I M El-Kebbi; D L Gallina; C D Miller; D C Ziemer; C S Barnes
Journal:  Ann Intern Med       Date:  2001-11-06       Impact factor: 25.391

4.  A primary care home for Americans: putting the house in order.

Authors:  Kevin Grumbach; Thomas Bodenheimer
Journal:  JAMA       Date:  2002-08-21       Impact factor: 56.272

5.  Clinical inertia: errors of omission in drug therapy.

Authors:  Amanda G Kennedy; Charles D MacLean
Journal:  Am J Health Syst Pharm       Date:  2004-02-15       Impact factor: 2.637

6.  Clinical inertia in the management of Type 2 diabetes metabolic risk factors.

Authors:  R W Grant; E Cagliero; A K Dubey; C Gildesgame; H C Chueh; M J Barry; D E Singer; D M Nathan; J B Meigs
Journal:  Diabet Med       Date:  2004-02       Impact factor: 4.359

7.  Competing demands from physical problems: effect on initiating and completing depression care over 6 months.

Authors:  P A Nutting; K Rost; J Smith; J J Werner; C Elliot
Journal:  Arch Fam Med       Date:  2000 Nov-Dec

8.  Therapy modifications in response to poorly controlled hypertension, dyslipidemia, and diabetes mellitus.

Authors:  Nicolas Rodondi; Tiffany Peng; Andrew J Karter; Douglas C Bauer; Eric Vittinghoff; Simon Tang; Daniel Pettitt; Eve A Kerr; Joe V Selby
Journal:  Ann Intern Med       Date:  2006-04-04       Impact factor: 25.391

9.  When there is too much to do: how practicing physicians prioritize among recommended interventions.

Authors:  Timothy P Hofer; Judith K Zemencuk; Rodney A Hayward
Journal:  J Gen Intern Med       Date:  2004-06       Impact factor: 5.128

10.  Prevalence of patients with type 2 diabetes mellitus reaching the American Diabetes Association's target guidelines in a university primary care setting.

Authors:  Gavin J Putzer; Arnold M Ramirez; Kevin Sneed; H J Brownlee; Richard G Roetzheim; Robert J Campbell
Journal:  South Med J       Date:  2004-02       Impact factor: 0.954

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  86 in total

1.  Features of the Chronic Care Model (CCM) associated with behavioral counseling and diabetes care in community primary care.

Authors:  Pamela A Ohman Strickland; Shawna V Hudson; Alicja Piasecki; Karissa Hahn; Deborah Cohen; A John Orzano; Michael L Parchman; Benjamin F Crabtree
Journal:  J Am Board Fam Med       Date:  2010 May-Jun       Impact factor: 2.657

2.  Safety during the monitoring of diabetic patients: trial teaching course on health professionals and diabetics - SEGUDIAB study.

Authors:  Juan J Cabré; Marta Ripoll; Josep M Hernández; Josep Basora; Ferran Bejarano; Victoria Arija
Journal:  BMC Public Health       Date:  2011-06-05       Impact factor: 3.295

3.  Clinical inertia remains a problem.

Authors:  Robin Klein; William T Branch
Journal:  Drugs Aging       Date:  2011-12-01       Impact factor: 3.923

4.  Physicians' perceptions of the type 2 diabetes multi-disciplinary treatment team: a qualitative study.

Authors:  Marilyn D Ritholz; Elizabeth A Beverly; Martin J Abrahamson; Kelly M Brooks; Brittney A Hultgren; Katie Weinger
Journal:  Diabetes Educ       Date:  2011-10-14       Impact factor: 2.140

5.  A novel approach to quality improvement in a safety-net practice: concurrent peer review visits.

Authors:  Kevin Fiscella; Ellen Volpe; Paul Winters; Melissa Brown; Amna Idris; Tricia Harren
Journal:  J Natl Med Assoc       Date:  2010-12       Impact factor: 1.798

6.  The importance of relational coordination and reciprocal learning for chronic illness care within primary care teams.

Authors:  Polly Hitchcock Noël; Holly J Lanham; Ray F Palmer; Luci K Leykum; Michael L Parchman
Journal:  Health Care Manage Rev       Date:  2013 Jan-Mar

7.  Cost-effectiveness of an electronic medical record based clinical decision support system.

Authors:  Todd P Gilmer; Patrick J O'Connor; JoAnn M Sperl-Hillen; William A Rush; Paul E Johnson; Gerald H Amundson; Stephen E Asche; Heidi L Ekstrom
Journal:  Health Serv Res       Date:  2012-05-11       Impact factor: 3.402

8.  Health coaching to improve hypertension treatment in a low-income, minority population.

Authors:  David Margolius; Thomas Bodenheimer; Heather Bennett; Jennifer Wong; Victoria Ngo; Guillermo Padilla; David H Thom
Journal:  Ann Fam Med       Date:  2012 May-Jun       Impact factor: 5.166

9.  Architectural choices and challenges of integrating electronic patient questionnaires into the electronic medical record to support patient-centered care.

Authors:  Barbara J Moore; Stephan Gaehde; Clayton Curtis
Journal:  AMIA Annu Symp Proc       Date:  2008-11-06

Review 10.  Outpatient diabetes clinical decision support: current status and future directions.

Authors:  P J O'Connor; J M Sperl-Hillen; C J Fazio; B M Averbeck; B H Rank; K L Margolis
Journal:  Diabet Med       Date:  2016-06       Impact factor: 4.359

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