It’s in the Cards: A Practice-Friendly, Real-Time Data Collection Strategy for Quality Improvement

Wofford, James L.; Kimberly, James; Moran, William P.; Miller, David P.; Hopping, Jerry L.; Pedley, Carolyn E.; Messick, Catherine H.; Lichstein, Peter R.; Vélez, Ramón

doi:10.1016/s1553-7250(05)31008-7

Cited by 3 publications

(2 citation statements)

References 3 publications

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“…Clinic staff have long been interested in quality improvement and population-based approaches to improving clinical care. Earlier efforts at rapid data collection of patient survey data during routine clinical activities made use of pre-printed index cards with 3-4 multiple choice questions that were completed by staff and providers [ 8 ]. The availability of multiple handheld and tablet computers, and the expertise at developing applications for those devices set the stage for piloting a new patient survey strategy using the tablet computers.…”

Section: Methodsmentioning

confidence: 99%

Real-Time Patient Survey Data During Routine Clinical Activities for Rapid-Cycle Quality Improvement

Wofford

Campos²,

Jones³

et al. 2015

JMIR Med Inform

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BackgroundSurveying patients is increasingly important for evaluating and improving health care delivery, but practical survey strategies during routine care activities have not been available.ObjectiveWe examined the feasibility of conducting routine patient surveys in a primary care clinic using commercially available technology (Web-based survey creation, deployment on tablet computers, cloud-based management of survey data) to expedite and enhance several steps in data collection and management for rapid quality improvement cycles.MethodsWe used a Web-based data management tool (survey creation, deployment on tablet computers, real-time data accumulation and display of survey results) to conduct four patient surveys during routine clinic sessions over a one-month period. Each survey consisted of three questions and focused on a specific patient care domain (dental care, waiting room experience, care access/continuity, Internet connectivity).ResultsOf the 727 available patients during clinic survey days, 316 patients (43.4%) attempted the survey, and 293 (40.3%) completed the survey. For the four 3-question surveys, the average time per survey was overall 40.4 seconds, with a range of 5.4 to 20.3 seconds for individual questions. Yes/No questions took less time than multiple choice questions (average 9.6 seconds versus 14.0). Average response time showed no clear pattern by order of questions or by proctor strategy, but monotonically increased with number of words in the question (<20 words, 21-30 words, >30 words)—8.0, 11.8, 16.8, seconds, respectively.ConclusionsThis technology-enabled data management system helped capture patient opinions, accelerate turnaround of survey data, with minimal impact on a busy primary care clinic. This new model of patient survey data management is feasible and sustainable in a busy office setting, supports and engages clinicians in the quality improvement process, and harmonizes with the vision of a learning health care system.

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Section: Methodsmentioning

confidence: 99%

Real-Time Patient Survey Data During Routine Clinical Activities for Rapid-Cycle Quality Improvement

Wofford

Campos²,

Jones³

et al. 2015

JMIR Med Inform

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“…The survey card was devised to be short in length and easy to administer in order to be practical for a busy clinic setting, much like past surveys were conducted in this clinic. 12 The survey card contained a total of five questions, one on overall quality, two focused on audio and video integrity/fidelity, one about the amount of time it took to communicate using the device, and one on likely future use of the device.…”

Section: Survey Instrumentmentioning

confidence: 99%

Providing a Spanish interpreter using low-cost videoconferencing in a community study computers

Wofford

Campos

Johnson

et al. 2013

Journal of Innovation in Health Informatics

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The Digital Divide at an Urban Community Health Center: Implications for Quality Improvement and Health Care Access

et al. 2010

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Health care policy encourages better electronic connectivity between patient and the office practice. However, whether patients are able to partner with the practice in using communication technologies is not known. We sought to determine (1) the proportion of clinic patients who use internet and cell phone text messaging technologies, (2) the level of patient interest in using these technologies for the purpose of managing clinical appointments and patient education. Consecutive adult patients, clinicians and staff at an urban community health center were surveyed during a one-week period in order to estimate the frequency of technology use by patients. A total of 308 survey cards were collected during the designated week (response rate of 85% (308/362). One-third (34.0%, 105) of surveyed patients used the internet and text messaging daily or weekly, while nearly two-thirds (59.7%, 182) never used these technologies. There were no racial or gender differences in the proportion of patients who used the internet daily or weekly. In contrast, African-Americans used text messaging more often than whites (28.2 vs. 21.4%, P < .05), and females more than males (30.8 vs. 18.5%, P < .05). Younger patients (>50) used the internet and text messaging more often than older patients (50.6 vs. 16.6%, 44.3 vs. 7.3%, respectively). Despite the low use of both technologies, patient's interest in managing clinic appointments was high (40.3% for the Internet and 56.8% for text messaging). Clinicians and staff estimated patient's daily/weekly use of internet and cellphone messaging at 40.3% (± 22.0), and 56.8% (± 25.7), respectively. Most patients at this urban community health center reported never using the internet or cell phone text messaging. Clinicians overestimated technology use by patients. Planning for clinic infrastructure, quality improvement, and patient education should include assessment of technology use patterns by patients.

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It’s in the Cards: A Practice-Friendly, Real-Time Data Collection Strategy for Quality Improvement

Cited by 3 publications

References 3 publications

Real-Time Patient Survey Data During Routine Clinical Activities for Rapid-Cycle Quality Improvement

Real-Time Patient Survey Data During Routine Clinical Activities for Rapid-Cycle Quality Improvement

Providing a Spanish interpreter using low-cost videoconferencing in a community study computers

The Digital Divide at an Urban Community Health Center: Implications for Quality Improvement and Health Care Access

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