19 research outputs found
Efficiency, Efficacy, and Power in the Implementation of a Medication Adherence Aid.
Nonadherence to medication regimens is common, with approximately 50% of patients not taking their medications as prescribed. The Universal Medication Schedule (UMS) is a set of standardized, evidence-based, and patient-centered instructions for pill-form medications that has demonstrated improvements in adherence by promoting patient comprehension. An urban, publicly funded, integrated health care system attempted to adopt UMS labeling but had limited success at its largest pilot site, which was a safety-net health care system's outpatient pharmacy. To assess barriers to implementation, we engaged pharmacists at this site in group interviews. We thematically analyzed transcripts by integrating sociological work on standardization with grounded theory methodologies. In addition to lacking technological infrastructure, tensions among efficiency, efficacy, and effectiveness, and tension between individual/biomedical versus population health perspectives emerged as barriers to implementation. Additionally, we discovered that hierarchies of professional power impeded uptake. For successful implementation of evidence-based practices for vulnerable populations in resource-poor settings, efforts must anticipate and reconcile the tensions among conflicting demands, professional hierarchies, and divergent orientations to patient care. [HLRP: Health Literacy Research and Practice. 2018;2(3):e128-e131.]
Understanding the barriers to successful adoption and use of a mobile health information system in a community health center in São Paulo, Brazil: a cohort study
BACKGROUND: Mobile technology to support community health has surged in popularity, yet few studies have systematically examined usability of mobile platforms for this setting. METHODS: We conducted a mixed-methods study of 14 community healthcare workers at a public healthcare clinic in São Paulo, Brazil. We held focus groups with community healthcare workers to elicit their ideas about a mobile health application and used this input to build a prototype app. A pre-use test survey was administered to all participants, who subsequently use-tested the app on three different devices (iPhone, iPad mini, iPad Air). Usability was assessed by objectively scored data entry errors and through a post-use focus group held to gather open-ended feedback on end-user satisfaction. RESULTS: All of the participants were women, ranging from 18–64 years old. A large percentage (85.7%) of participants had at least a high school education. Internet (92.8%), computer (85.7%) and cell phone (71.4%) use rates were high. Data entry error rates were also high, particularly in free text fields, ranging from 92.3 to 100%. Error rates were comparable across device type. In a post-use focus group, participants reported that they found the app easy to use and felt that its design was consistent with their vision. The participants raised several concerns, including that they did not find filling out the forms in the app to be a useful task. They also were concerned about an app potentially creating more work for them and personal security issues related to carrying a mobile device in low-income areas. CONCLUSION: In a cohort of formally educated community healthcare workers with high levels of personal computer and cell phone use, we identified no technological barriers to adapting their existing work to a mobile device based system. Transferring current data entry work into a mobile platform, however, uncovered underlying dissatisfaction with some data entry tasks. This dissatisfaction may be a more significant barrier than the data entry errors our testing revealed. Our results highlight the fact that without a deep understanding of local process to optimize usability, technology-based solutions in health may fail. Developing such an understanding must be a central component in the design of any mHealth solution in global health
Improving Patient Safety in Public Hospitals: Developing Standard Measures to Track Medical Errors and Process Breakdowns
ObjectiveThe aim of the study was to develop standards for tracking patient safety gaps in ambulatory care in safety net health systems.MethodsLeaders from five California safety net health systems were invited to participate in a modified Delphi process sponsored by the Safety Promotion Action Research and Knowledge Network (SPARKNet) and the California Safety Net Institute in 2016. During each of the three Delphi rounds, the feasibility and validity of 13 proposed patient safety measures were discussed and prioritized. Surveys and transcripts from the meetings were analyzed to understand the decision-making process.ResultsThe Delphi process included eight panelists. Consensus was reached to adopt 9 of 13 proposed measures. All 9 measures were unanimously considered valid, but concern was expressed about the feasibility of implementing several of the measures.ConclusionsAlthough safety net health systems face high barriers to standardized measurement, our study demonstrates that consensus can be reached on acceptable and feasible methods for tracking patient safety gaps in safety net health systems. If accompanied by the active participation key stakeholder groups, including patients, clinicians, staff, data system professionals, and health system leaders, the consensus measures reported here represent one step toward improving ambulatory patient safety in safety net health systems
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Efficiency, Efficacy, and Power in the Implementation of a Medication Adherence Aid.
Nonadherence to medication regimens is common, with approximately 50% of patients not taking their medications as prescribed. The Universal Medication Schedule (UMS) is a set of standardized, evidence-based, and patient-centered instructions for pill-form medications that has demonstrated improvements in adherence by promoting patient comprehension. An urban, publicly funded, integrated health care system attempted to adopt UMS labeling but had limited success at its largest pilot site, which was a safety-net health care system's outpatient pharmacy. To assess barriers to implementation, we engaged pharmacists at this site in group interviews. We thematically analyzed transcripts by integrating sociological work on standardization with grounded theory methodologies. In addition to lacking technological infrastructure, tensions among efficiency, efficacy, and effectiveness, and tension between individual/biomedical versus population health perspectives emerged as barriers to implementation. Additionally, we discovered that hierarchies of professional power impeded uptake. For successful implementation of evidence-based practices for vulnerable populations in resource-poor settings, efforts must anticipate and reconcile the tensions among conflicting demands, professional hierarchies, and divergent orientations to patient care. [HLRP: Health Literacy Research and Practice. 2018;2(3):e128-e131.]
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Standardization in Diverse Populations: Implementation of Evidence-Based Practices in a Safety-Net Setting.
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Accurate Measurement In Californias Safety-Net Health Systems Has Gaps And Barriers.
Patient safety in ambulatory care has not been routinely measured. California implemented a pay-for-performance program in safety-net hospitals that incentivized measurement and improvement in key areas of ambulatory safety: referral completion, medication safety, and test follow-up. We present two years of program data (collected during July 2015-June 2017) and show both suboptimal performance in aspects of ambulatory safety and questionable reliability in data reporting. Performance was better in areas that required limited coordination or patient engagement-for example, annual medication monitoring versus follow-up after high-risk mammograms. Health care systems that lack seamlessly integrated electronic health records and patient registries encountered barriers to reporting reliable ambulatory safety data, particularly for measures that integrated multiple data elements. These data challenges precluded accurate performance measurement in many areas. Policy makers and safety advocates need to support the development of information systems and measures that facilitate the accurate ascertainment of the health systems, patients, and clinical tasks at greatest risk for ambulatory safety failures
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Safety-net institutions in the US grapple with new cholesterol treatment guidelines: a qualitative analysis from the PHoENIX Network
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Accurate Measurement In California's Safety-Net Health Systems Has Gaps And Barriers.
Patient safety in ambulatory care has not been routinely measured. California implemented a pay-for-performance program in safety-net hospitals that incentivized measurement and improvement in key areas of ambulatory safety: referral completion, medication safety, and test follow-up. We present two years of program data (collected during July 2015-June 2017) and show both suboptimal performance in aspects of ambulatory safety and questionable reliability in data reporting. Performance was better in areas that required limited coordination or patient engagement-for example, annual medication monitoring versus follow-up after high-risk mammograms. Health care systems that lack seamlessly integrated electronic health records and patient registries encountered barriers to reporting reliable ambulatory safety data, particularly for measures that integrated multiple data elements. These data challenges precluded accurate performance measurement in many areas. Policy makers and safety advocates need to support the development of information systems and measures that facilitate the accurate ascertainment of the health systems, patients, and clinical tasks at greatest risk for ambulatory safety failures
Recommended from our members
Accurate Measurement In California's Safety-Net Health Systems Has Gaps And Barriers.
Patient safety in ambulatory care has not been routinely measured. California implemented a pay-for-performance program in safety-net hospitals that incentivized measurement and improvement in key areas of ambulatory safety: referral completion, medication safety, and test follow-up. We present two years of program data (collected during July 2015-June 2017) and show both suboptimal performance in aspects of ambulatory safety and questionable reliability in data reporting. Performance was better in areas that required limited coordination or patient engagement-for example, annual medication monitoring versus follow-up after high-risk mammograms. Health care systems that lack seamlessly integrated electronic health records and patient registries encountered barriers to reporting reliable ambulatory safety data, particularly for measures that integrated multiple data elements. These data challenges precluded accurate performance measurement in many areas. Policy makers and safety advocates need to support the development of information systems and measures that facilitate the accurate ascertainment of the health systems, patients, and clinical tasks at greatest risk for ambulatory safety failures