Prescribing habits and caregiver satisfaction with resources for dosing children: Rationale for more informative dosing guidance
© Barrett et al; licensee BioMed Central Ltd. 2011
Received: 5 October 2010
Accepted: 2 April 2011
Published: 2 April 2011
Physicians, nurses and hospital pharmacists were surveyed to assess attitudes of hospital-based pediatric caregivers regarding the dosing of medicine to children. Our objectives were to gauge how current resources are utilized to guide the management of pediatric pharmacotherapy, assess drugs and drug classes where guidance is most critical and examine the prevalence and practice of dose adjustment in pediatric patients.
Questionnaire categories included demographics, pharmacotherapy resources, dosing adjustment and modification, and valuation of additional tools to provide improved pharmacotherapy guidance. The questionnaire was developed in collaboration with representative nurse, pharmacist and physician team members using the SurveyMonkey.com site and survey tool. The survey link was distributed to caregivers via email. The questionnaire results of 303 respondents were collected into MS Excel and imported into SAS for data summarization.
A total of 313 responses were obtained. Physician and nurse practitioner groups comprised the majority of the responses. Approximately 80% of the responders considered dosing adjustment important in pediatric pharmacotherapy. While there was general satisfaction with available resources, nearly 75% responded in support of access to predictive tools that facilitate individualized patient pharmacotherapy. The majority of respondents (> 65%) indicated that dosing outside standard practice occurs in 1-20% of their patients, while still a substantial number of respondents (a range of 8 to 20% reflecting the resident and fellow categories) estimated between 20 and 50% of their patients required adjustments outside the standard practice.
Differences in prescribing habits based on caregiver role, specialty and location were small and likely require further exploration. Existing resources are generally viewed as helpful but inadequate to guide recommendations for individual patients. Decision support systems connected to hospital-based electronic medical records offer the promise of informative and individualized pharmacotherapy guidance.
Keywordspharmacotherapy guidance caregiver role patient individualization pediatric prescribing habits
Children represent a dynamic target for prescribing pharmacotherapy as age, size, organ function and developmental state are factors that contribute to the variation in drug response that limit the simplistic scale-down from the adult "one size fits all" dosing approach. While this concept is reasonably well appreciated by pediatric caregivers, the extent to which this appreciation translates into rationale dosing guidance in children is unknown. Likewise, while prescribing to pediatric in-patients is decidedly focused on the individual patient with respect to dosing, this desire is often in conflict with data generated by the drug sponsor where the resultant prescribing information emphasizes the average or typical patient, providing guidance to aggregate "special" populations. The introduction of new agents on formulary may provide an improvement in clinical options but often further complicates prescribing practice. In addition, prescribing patterns change constantly and are not entirely generalizable across institutions. Many studies support the correlation between deficient drug prescribing and poor adherence to evidence based treatment guidelines, inadequate individual dosage adjustments and adverse drug events [3–5].
Caregiver role is an important factor in the definition of such patterns within an institution. While there is a general workflow of order, verification and review shared by the physician, nurse and pharmacist, the specific checks and balances put in place to ensure accurate prescribing and administration in an in-patient setting are often unique to the subspeciality . Johnson et al  have previously examined the incidence of discrepancies among written prescriptions, medication regimens and patient discharge instructions sheets and the actual labels on medications dispensed by community pharmacies. The study documented prescriber errors in dosing frequencies and formulations in addition to altered prescriptions by the community pharmacists. The authors called for improved education and risk management efforts encouraging caregivers to consult appropriate reference materials to ensure that dose formulations and guidelines are accurate.
In fact, resources available to guide pediatric dosing are few and the lack of resources well appreciated [8–10]. The most commonly appreciated resources include the drug monograph or label (package insert) available in paper and electronic forms and captured in compendia guides such as the physician's desk reference (PDR). The source studies described in the package insert are typically limited to those conducted by or on behalf of the drug sponsor but may also include literature studies summarized by the drug sponsor. As the drug sponsor must petition the FDA to include the proposed material in the package insert, not all of the available information is included in the drug monograph. Other compendia sources such as the Lexi-Comp (http://www.lexi.com/) or other pediatric dosing handbooks such as Harriet Lane attempt to review the relevant literature and provide periodic updates. These are likely the best reflection of current information regarding dosing guidance in pediatrics. However, there is often little interpretation and it is challenging to synthesize the body of small discrete studies into a meaningful prescribing practice particularly when the source studies are conducted for regulatory purposes and not for informative dosing guidance. More importantly, the format of this information is static and text based. While on-line versions of Lexi-Comp and other tools have made marked improvements with respect to access and retrieval, it is still not in the scope of the resource to interpolate, extrapolate or otherwise summarize the information provided except through the interpretation of the reader.
We have previously studied drug utilization patterns in the pediatric ICU, developed visualization tools to mine and query utilization patterns in the hospital in-patient setting, developed a key performance index (KPI) scoring system to rank and prioritize agents on formulary for future study, and described how predictive models can inform decision support system that interface with the hospital's electronic medical records (EMRs). Our objective for this investigation was to assess pediatric caregiver prescribing habits, including attitudes with respect to their valuation of available resources to guide pediatric pharmacotherapy. We were also interested in their opinions on dosing adjustments specifically in the identification of agents difficult to manage, the frequency of dosing modifications (beyond the standard of care) in their practice and the factors they deem as critical criteria to guide such adjustments. The results of the 15-question survey were analyzed across caregiver role and serve as the baseline assessment for the development of decision support systems that will serve as a future, dynamic resource to guide pediatric pharmacotherapy with emphasis on individualized recommendations and personalized, safe drug therapy.
The medical staff at The Children's Hospital of Philadelphia (CHOP) includes approximately 900 Attending Physicians, 223 Physician Fellows, 135 Physician Residents and 1900 Nurse Practitioners. These staff members all have input into the prescribing decisions made at CHOP. Additionally, there are 45 hospital pharmacists on staff with pharmacists having specialized roles (clinical specialists) within therapeutic areas. Pharmacy responds to drug information inquires ranging from drug, dosage or dosage form recommendations to extensive literature searches on specific pharmacotherapeutic topics. The pharmacy service reviews all therapeutically monitored drug concentrations reported by the clinical laboratory twice daily. Medical staff is contacted with recommendations if dosage adjustments are required. Pharmacokinetics consultations are also provided upon request of the medical staff.
The protocol for this investigation was approved by the Institutional review Board of The Children's Hospital of Philadelphia. A waiver of HIPAA authorization under 45 CFR 165.512(i)(2)(ii) was granted based on the nature of the study evaluation. A waiver of assent and parental permission and consent was also granted because the study met the criteria under CFR 46.116(d), due to its de-identified and retrospective design.
A 15 question survey was prepared based on the feedback from a pilot questionnaire and specific comments from each of the target caregiver roles (physician, nurse and pharmacist). The pilot survey targeted approximately 30 pediatric caregivers and following interviews with the questionnaire respondents, refined to the final questionnaire. The final questionnaire was composed of six tick-box questions, seven 3-4 point scale responses (seven of which allowed comments) and 2 free text questions; the actual questions and response options are provided in the Appendix (see Additional file 1).
The survey of attending physicians, fellows, residents, nurse practitioners, clinical pharmacists, physician assistants and clinical nurse specialists was distributed through the Survey Monkey (Portland, Oregon USA; http://www.surveymonkey.com/) web-application via internal email to approximately 900 pediatric caregivers within the institution (926 was the actual number of email recipients). The 4 domains surveyed included demographics, pharmacotherapy resources, dosing adjustment and modification, and valuation of additional tools to provide improved pharmacotherapy guidance. Questions considered the pediatric caregiver's role, specialty and location, as well assessing prescriber knowledge regarding dosing guidance and attitudes toward dose modification and patient individualization. The survey also focused on accessibility, ease of use and appropriateness of existing resources regarding pediatric dosing guidance. Information regarding the frequency of dosing modification along with consultation of dosing compendiums and estimation of success rate in dosing guidance was acquired. The sampled population of caregivers was largely based on the availability of mailing lists in which the caregiver role could be assured. The greater representation of physicians from the in-patient setting likewise reflects the fact that this population is collectively identified by group lists within the institution.
The responses were imported into SAS for further summarization and analysis. Missing data values were excluded from the frequency counts.
Caregiver-identified preferences of sources for pediatric dosing guidance
Count (% of total in clinical role category)
Physician's Desk Reference
Harriet Lane Handbook
Sunrise Clinical Manager
Dosing adjustment and modification
Prescribing practice, valuation of dose adjustment and pharmacotherapy guidance by caregiver role
% Response (within role)
Frequency of checking more than one source to obtaining dosing guidance
<25% of the time
25-50% of the time
>50% of the time
Value of dosing adjustments in pediatrics
Not very important
Convenience of information on dosing guidance
Not very Convenient
Frequency of patients requiring modification outside "standard" dose recommendations
<1% of patients
1-20% of patients
20-50% of patients
>50% of patients
Value of tools for individualized dosing guidance
Valuation of additional prescribing tools
The value of tools that would provide individualized dosing guidance was strongly endorsed by the questionnaire response with over 70% stating that these would be desirable. Lack of user friendliness, error-proof guarantee and information on drug metabolism and pharmacokinetics-pharmacodynamics (PK-PD) were the highest cited drawbacks of respondents. The next highest cited complaints were inconsistent information, too population-centric and too patient-centric at 15, 4 and 2% of the total responses. Approximately 20% of those surveyed felt that there were no drawbacks.
Medication classes identified as difficult to manage+ (303 evaluable respondents*)
Classes/Agents Cited within Specialty
Allergy and Immunology; Infectious Disease
Antibiotics, Anticonvulsant, Antiemetic
Antianxiety, Antiarrhythmic, CNS Agents
Anticonvulsant, Orphan Drug
Antiarrhythmic, CNS Agents
ADHD, Antihypertensive, Antineoplastic
Antidepressant, CNS Agents
Anti-anxiety, Anticonvulsant, CNS Agents, Orphan Drugs
Anticoagulant, Antifungal, Anti-infective, Orphan Drugs
Antifungal, Orphan Drugs
The results of this survey confirm the importance of dosing guidance for the management of pediatric pharmacotherapy among various caregiver roles and specializations. They also confirm the necessity of getting feedback from this diverse community as there are differences of opinion that can influence the acceptance of new information and approaches as well as the implementation of new technology which offers the potential to improve outcomes. This initial assessment was designed to serve as a baseline response from the caregiver community prior to the development, assessment and hopefully future implementation of a pediatric knowledgebase that provides real-time, individualized guidance for dosing and managing drug therapy in children.
Some obvious trends appear to reflect the seniority of the caregiver. Specifically, the value placed on the scientific literature within the physician community would seemingly correlate with age and experience with 41.1, 21.7 and 8.1% of attendings, fellows and residents respectively responding that they refer to the scientific literature for dosing guidance. It may also reflect the time that each of these roles has to devote to searching and reviewing the literature. Likewise, it is not surprising that only 16% of the residents cite 'past experience' as a resource for pharmacotherapy guidance. Perhaps consistent with their generation, residents would seemingly be more comfortable with information technology as 92% refer to Lexi-Comp Online and 51% use Sunrise Clinical Manager (the EMR system; as opposed to ~20% for the other responders).
Compared to 51% of the attending physician community and 48% of the nurse practitioners, over 75% of the residents categorize compendial information to be "very informative." It may also suggest that the surveyed attending physicians and nurse practitioners are generally more experienced and hence less dependent on such compendiums. Residents and nurse practitioners have similar responses throughout which may be due to the fact that they are responsible for most of the actual ordering in the hospital. It is interesting to note that 81% of the residents use SCM compared to attendings (33%), fellows (39%) and nurse practitioners (30%). As residents are extensively engaged in ordering and prescribing, which is primarily accomplished through SCM at the moment, this is also not surprising. It was somewhat surprising that antibiotics were identified as a difficult to manage drug class given that there is generally more data/experience with this class than others. This likely reflects the diversity in specialty and experience as well.
Hence, age, experience, specialty and role of the pediatric caregiver appear to be key factors underlying differences in how individual caregivers respond to clinical decisions regarding dosing children as well as educate themselves with available resources to further guide them. While technologic advances such as Computerized Physician Order Entry (CPOE) systems have the potential to greatly reduce human error, their actual performance is highly variable[19, 20]. It has been maintained that the strategy for preventing errors and adverse events in health care must involve tools that can improve communication, make knowledge more readily accessible, require key pieces of information, assist with calculations, perform checks in real-time, assist with monitoring and provide decision support. This functionality is currently unavailable at many pediatric in-patient centers. Hence, satisfaction with existing resources should not prevent the construction and deployment of tools that enhance patient safety and provide confidence to caregivers with respect to managing their patient's drug therapy. Most importantly, it is clear that this community must be continually engaged to ensure that new technology is properly scrutinized and evaluated prior to and during implementation.
Given the diversity in experience and specialization of the pediatric caregiver community, it seems obvious that drug and disease-specific guidance with reference to the individual patient would facilitate more standard practices around dosing adjustments and raise the overall knowledge on pediatric clinical pharmacology and therapeutics. This is especially relevant given the concerns about the adequacy of training in pediatric clinical pharmacology and toxicology[5, 22–25]. The prevalence of EMR systems among our various pediatric in-patient and out-patient facilities would seem to be a perfect conduit for this information although the task and scope for such a medical informatics system is, as yet, in its infancy. It is clear that the successful development and support for such a system will have to be shared among the various stakeholders and accommodate the requirements from a diverse caregiver community.
These results indicate several limitations with the survey which must be appreciated. First and foremost, it is based on a single institution and the generalizability of these results must consider potential regional differences in prescribing practices as well as differences due to setting (i.e., smaller community-based institutions). Secondly, while efforts were made to ensure a balanced response with respect to caregiver roles and location, we were somewhat limited by the availability of mailing lists that could accurately identify roles as well as caregivers in specialty centers. These were not easily assembled at the time of the survey due, in part, to an antiquated email system that has since been replaced. Finally, the categorical responses defined in the survey questions, while based on the expert opinion of our design group (and reflecting the caregiver community) seemingly lacks the granularity to provide more quantitative point estimates for certain questions. Despite these limitations, we feel the results are robust certainly for our institution and similar large, teaching hospitals in which the care of children is the primary emphasis.
Sjoborg previously reported pilot results from a computerized prescribing system that provides pharmacological knowledge at the point of care. Their approach focused on providing recommendations, alerts for interaction, drug therapy during pregnancy and breast feeding and a search tool for adverse effects through a single database interfaced to their hospital's EMR system. Recognizing the time limitations often presented to our pediatric caregivers, their results would seem to support the proof of concept for this approach. Most importantly, the authors call for a more coordinated effort within and across countries as opposed to the home grown efforts at various academic medical centers[15, 28]. Our results would seem to support this finding and suggest further that more dynamic integration of decision analytics to hospital EMRs will also enhance such a knowledgebase. It is also clear that the involvement of the varied caregivers involved in managing drug therapy to children will be essential to ensure that differences in role, specialty, and function are accommodated in both the design and testing of such systems and tools.
Deriving optimal dosing guidance for children continues to be a concern for pediatric caregivers. The amount of information available for dosing guidance in children, while still inadequate, is more vast and complex than in the past. With the necessity of modifying dose based on age, weight, developmental status, organ function, drug interaction potential and other disease-modifying conditions looming, integrated solutions that synthesize this information should provide more informed decision making. In the past there may have been concerns with physician willingness to trust and utilize such systems. With the continued exposure to information technologies, it is obvious that these concerns are lessening and will eventually be irrelevant. As others have pointed out, the support of new technologies by enlightened leadership will be a critical aspect in the transition to new technologies. It is clear that being satisfied with the status quo benefits neither the quality of clinical decision making nor the care of our patients. Additional resources to guide pediatric pharmacotherapy are needed now and must be based on the currently available knowledge regarding the drug-disease-population interface.
Dr. Jeffrey S. Barrett is a Research Associate Professor of Pediatrics, University of Pennsylvania, the Director of the Laboratory for Applied PK/PD in the Division of Clinical Pharmacology and Therapeutics at the Children's Hospital of Philadelphia and an Associate Scholar in the Center for Clinical Epidemiology and Biostatistics at The University of Pennsylvania. Dr. Barrett serves as the Principal Investigator for CHOP's Pediatric Pharmacology Research Unit and heads the Kinetic Modeling and Simulation core of the Penn/CHOP Clinical and Translation Science Award. Dr. Barrett's research interest is focused on investigating sources of variation in pharmacokinetics and pharmacodynamics applying clinical pharmacologic investigation coupled with modeling and simulation strategies to pursue rational dosing guidance. He develops pharmacometric approaches to advance PK/PD, medical informatics and disease progression modeling. Dr. Barrett has also integrated model-based decision support systems with hospital electronic medical records and has pioneered the pediatric knowledgebase development program for the past 6 years.
Source of Funding
This research was supported in part by the Pediatric Pharmacology Research Unit (PPRU) grant, NIH U10, HD037255-06 and the challenge grant, 1RC1LM010367-01, Decision Support System to Guide Pediatric Pharmacotherapy.
Acknowledgements and Funding
We would like to acknowledge physicians, nurses and researchers' of Clinical Pharmacology and Therapeutics Division of The Children's Hospital of Philadelphia for their contribution towards preparing physician questionnaire, designing and summarizing survey results. This work was partially supported by NIH/NICHD, Pediatric Pharmacology Research Unit, Grant # HD037255-06, NICHD/NLM, Grant # 1RC1LM010367-01, Decision Support System to Guide Pediatric Pharmacotherapy and an internal grant from the Pediatric's Chair's Initiative of the Children's Hospital of Philadelphia.
- Hawcutt DB, Smyth RL: Drug development for children: how is pharma tackling an unmet need?. IDrugs. 2008, 11 (7): 502-7.PubMedGoogle Scholar
- Marra F, Monnet DL, Patrick DM, Chong M, Brandt CT, Winters M, et al: A comparison of antibiotic use in children between Canada and Denmark. Ann Pharmacother. 2007, 41 (4): 659-66. 10.1345/aph.1H293.View ArticlePubMedGoogle Scholar
- Anderson B, Anderson M, Hastie B: Paracetamol prescribing habits in a children's hospital. N Z Med J. 1996, 109 (1031): 376-8.PubMedGoogle Scholar
- Keyserling HL, Sinkowitz-Cochran RL, Harris JM, Levine GL, Siegel JD, Stover BH, et al: Vancomycin use in hospitalized pediatric patients. Pediatrics. 2003, 112 (2): e104-11. 10.1542/peds.112.2.e104.View ArticlePubMedGoogle Scholar
- Wurst KE, Sleath BL: Physician knowledge and adherence to prescribing antibiotic prophylaxis for sickle cell disease. Int J Qual Health Care. 2004, 16 (3): 245-51. 10.1093/intqhc/mzh033.View ArticlePubMedGoogle Scholar
- Scavuzzo J, Gamba N: Bridging the gap: the Virtual Chemotherapy Unit. J Pediatr Oncol Nurs. 2004, 21 (1): 27-32. 10.1177/1043454203259951.View ArticlePubMedGoogle Scholar
- Johnson KB, Butta JK, Donohue PK, Glenn DJ, Holtzman NA: Discharging patients with prescriptions instead of medications: sequelae in a teaching hospital. Pediatrics. 1996, 97 (4): 481-5.PubMedGoogle Scholar
- Novak E, Allen PJ: Prescribing medications in pediatrics: concerns regarding FDA approval and pharmacokinetics. Pediatr Nurs. 2007, 33 (1): 64-70.PubMedGoogle Scholar
- Zenk KE: Resources for pediatric drug information. Hosp Pharm. 1990, 25 (10): 924-7.PubMedGoogle Scholar
- Yin HS, Wolf MS, Dreyer BP, Sanders LM, Parker RM: Evaluation of consistency in dosing directions and measuring devices for pediatric nonprescription liquid medications. Jama. 2010, 304 (23): 2595-602. 10.1001/jama.2010.1797.View ArticlePubMedGoogle Scholar
- Custer JW, Rau RE, Lee CK: Johns Hopkins Hospital, The Harriet Lane Handbook. 2008, Baltimore: Mosby, 1184-18th ed, 18Google Scholar
- Zuppa AF, Adamson PC, Mondick JT, Davis LA, Maka DA, Narayan M, et al: Drug utilization in the pediatric intensive care unit: monitoring prescribing trends and establishing prioritization of pharmacotherapeutic evaluation of critically ill children. J Clin Pharmacol. 2005, 45 (11): 1305-12. 10.1177/0091270005280966.View ArticlePubMedGoogle Scholar
- Zuppa A, Vijayakumar S, Jayaraman B, Patel D, Narayan M, Vijayakumar K, et al: An informatics approach to assess pediatric pharmacotherapy: design and implementation of a hospital drug utilization system. J Clin Pharmacol. 2007, 47 (9): 1172-80. 10.1177/0091270007304105.View ArticlePubMedGoogle Scholar
- Barrett JS, Patel D, Jayaraman B, Narayan M, Zuppa A: Key Performance Indicators for the Assessment of Pediatric Pharmacotherapeutic Guidance. J Pediatr Pharmacol Ther. 2008, 13: 141-155.PubMedPubMed CentralGoogle Scholar
- Barrett JS, Mondick JT, Narayan M, Vijayakumar K, Vijayakumar S: Integration of modeling and simulation into hospital-based decision support systems guiding pediatric pharmacotherapy. BMC Med Inform Decis Mak. 2008, 8: 6-10.1186/1472-6947-8-6.View ArticlePubMedPubMed CentralGoogle Scholar
- Braithwaite D, Emery J, De Lusignan S, Sutton S: Using the Internet to conduct surveys of health professionals: a valid alternative?. Fam Pract. 2003, 20 (5): 545-51. 10.1093/fampra/cmg509.View ArticlePubMedGoogle Scholar
- Seguin R, Godwin M, MacDonald S, McCall M: E-mail or snail mail? Randomized controlled trial on which works better for surveys. Can Fam Physician. 2004, 50: 414-9.PubMedPubMed CentralGoogle Scholar
- Shaoul R, Shahory R, Tamir A, Jaffe M: Comparison between pediatricians and family practitioners in the use of the prokinetic cisapride for gastroesophageal reflux disease in children. Pediatrics. 2002, 109 (6): 1118-23. 10.1542/peds.109.6.1118.View ArticlePubMedGoogle Scholar
- Han YY, Carcillo JA, Venkataraman ST, Clark RS, Watson RS, Nguyen TC, et al: Unexpected increased mortality after implementation of a commercially sold computerized physician order entry system. Pediatrics. 2005, 116 (6): 1506-12. 10.1542/peds.2005-1287.View ArticlePubMedGoogle Scholar
- Koppel R, Metlay JP, Cohen A, Abaluck B, Localio AR, Kimmel SE, et al: Role of computerized physician order entry systems in facilitating medication errors. Jama. 2005, 293 (10): 1197-203. 10.1001/jama.293.10.1197.View ArticlePubMedGoogle Scholar
- Bates DW, Kuperman GJ, Wang S, Gandhi T, Kittler A, Volk L, et al: Ten commandments for effective clinical decision support: making the practice of evidence-based medicine a reality. J Am Med Inform Assoc. 2003, 10 (6): 523-30. 10.1197/jamia.M1370.View ArticlePubMedPubMed CentralGoogle Scholar
- Done AK: Design of a clinical toxicology training program in conjunction with clinical pharmacology in a children's hospital. Clin Toxicol. 1979, 15 (4): 387-92. 10.3109/15563657908989891.View ArticlePubMedGoogle Scholar
- Lertora JJ, Atkinson AJ: Clinical pharmacology education and training at the National Institutes of Health. Clin Pharmacol Ther. 2007, 81 (6): 907-9. 10.1038/sj.clpt.6100206.View ArticlePubMedGoogle Scholar
- Vollebregt JA, Metz JC, de Haan M, Richir MC, Hugtenburg JG, de Vriesg TP: Curriculum development in pharmacotherapy: testing the ability of preclinical medical students to learn therapeutic problem solving in a randomized controlled trial. Br J Clin Pharmacol. 2006, 61 (3): 345-51. 10.1111/j.1365-2125.2005.02571.x.View ArticlePubMedPubMed CentralGoogle Scholar
- Vollebregt JA, van Oldenrijk J, Kox D, van Galen SR, Sturm B, Metz JC, et al: Evaluation of a pharmacotherapy context-learning programme for preclinical medical students. Br J Clin Pharmacol. 2006, 62 (6): 666-72. 10.1111/j.1365-2125.2006.02742.x.View ArticlePubMedPubMed CentralGoogle Scholar
- Eddy DM: Linking electronic medical records to large-scale simulation models: can we put rapid learning on turbo?. Health Aff (Millwood). 2007, 26 (2): w125-36. 10.1377/hlthaff.26.2.w125.View ArticleGoogle Scholar
- Sjoborg B, Backstrom T, Arvidsson LB, Andersen-Karlsson E, Blomberg LB, Eiermann B, et al: Design and implementation of a point-of-care computerized system for drug therapy in Stockholm metropolitan health region--Bridging the gap between knowledge and practice. Int J Med Inform. 2007, 76 (7): 497-506. 10.1016/j.ijmedinf.2006.02.010.View ArticlePubMedGoogle Scholar
- Kaushal R, Shojania KG, Bates DW: Effects of computerized physician order entry and clinical decision support systems on medication safety: a systematic review. Arch Intern Med. 2003, 163 (12): 1409-16. 10.1001/archinte.163.12.1409.View ArticlePubMedGoogle Scholar
- Lesar TS, Briceland L, Stein DS: Factors related to errors in medication prescribing. Jama. 1997, 277 (4): 312-7. 10.1001/jama.277.4.312.View ArticlePubMedGoogle Scholar
- Killelea BK, Kaushal R, Cooper M, Kuperman GJ: To what extent do pediatricians accept computer-based dosing suggestions?. Pediatrics. 2007, 119 (1): e69-75. 10.1542/peds.2006-1388.View ArticlePubMedGoogle Scholar
- Vishwanath A, Brodsky L, Shaha S, Leonard M, Cimino M: Patterns and changes in prescriber attitudes toward PDA prescription-assistive technology. Int J Med Inform. 2009, 78 (5): 330-9. 10.1016/j.ijmedinf.2008.10.004.View ArticlePubMedGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2431/11/25/prepub
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.