scholarly journals Reporting of Patient Experience Data on Health Systems’ Websites and Commercial Physician-Rating Websites: Mixed-Methods Analysis

10.2196/12007 ◽  
2019 ◽  
Vol 21 (3) ◽  
pp. e12007 ◽  
Author(s):  
Tara Lagu ◽  
Caroline M Norton ◽  
Lindsey M Russo ◽  
Aruna Priya ◽  
Sarah L Goff ◽  
...  
Keyword(s):  
Mixed Methods ◽  
Health Systems ◽  
Patient Experience ◽  
Physician Rating

scholarly journals Reporting of Patient Experience Data on Health Systems’ Websites and Commercial Physician-Rating Websites: Mixed-Methods Analysis (Preprint)

2018 ◽  
Author(s):  
Tara Lagu ◽  
Caroline M. Norton ◽  
Lindsey M. Russo ◽  
Aruna Priya ◽  
Sarah L. Goff ◽  
...  
Keyword(s):  
Mixed Methods ◽  
Health System ◽  
Random Sample ◽  
Health Systems ◽  
Patient Experience ◽  
Healthcare Providers ◽  
Negative Comments ◽  
Physician Rating ◽  
Composite Scores ◽  
Consumer Assessment

BACKGROUND Some hospitals’ and health systems’ websites report physician-level ratings and comments drawn from the Consumer Assessment of Healthcare Providers and Systems surveys. OBJECTIVE The aim was to examine the prevalence and content of health system websites reporting these data and compare narratives from these sites to narratives from commercial physician-rating sites. METHODS We identified health system websites active between June 1 and 30, 2016, that posted clinician reviews. For 140 randomly selected clinicians, we extracted the number of star ratings and narrative comments. We conducted a qualitative analysis of a random sample of these physicians’ narrative reviews and compared these to a random sample of reviews from commercial physician-rating websites. We described composite quantitative scores for sampled physicians and compared the frequency of themes between reviews drawn from health systems’ and commercial physician-rating websites. RESULTS We identified 42 health systems that published composite star ratings (42/42, 100%) or narratives (33/42, 79%). Most (27/42, 64%) stated that they excluded narratives deemed offensive. Of 140 clinicians, the majority had composite scores listed (star ratings: 122/140, 87.1%; narrative reviews: 114/140, 81.4%), with medians of 110 star ratings (IQR 42-175) and 25.5 (IQR 13-48) narratives. The rating median was 4.8 (IQR 4.7-4.9) out of five stars, and no clinician had a score less than 4.2. Compared to commercial physician-rating websites, we found significantly fewer negative comments on health system websites (35.5%, 76/214 vs 12.8%, 72/561, respectively; P<.001). CONCLUSIONS The lack of variation in star ratings on health system sites may make it difficult to differentiate between clinicians. Most health systems report that they remove offensive comments, and we notably found fewer negative comments on health system websites compared to commercial physician-rating sites.

A Mixed Methods Evaluation of a Multi-Country, Cross-Sectoral Knowledge Transfer Partnership to Improve Health Systems Across Africa

2018 ◽  
Vol 10 (1) ◽  
pp. 136-148
Author(s):  
Erika Linnander ◽  
◽  
Katherine LaMonaca ◽  
Marie A. Brault ◽  
Medha Vyavahare ◽  
...  
Keyword(s):  
Mixed Methods ◽  
Knowledge Transfer ◽  
Health Systems ◽  
Mixed Methods Evaluation ◽  
Improve Health

scholarly journals Effects of transition on HIV and non-HIV services and health systems in Kenya: a mixed methods evaluation of donor transition

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Daniela C. Rodríguez ◽  
Diwakar Mohan ◽  
Caroline Mackenzie ◽  
Jess Wilhelm ◽  
Ezinne Eze-Ajoku ◽  
...  
Keyword(s):  
Mixed Methods ◽  
Service Delivery ◽  
Health Systems ◽  
Local Level ◽  
Health Facilities ◽  
Government Support ◽  
Hiv Care ◽  
Local Context ◽  
Mixed Methods Evaluation ◽  
The Us

Abstract Background In 2015 the US President’s Emergency Plan for AIDS Relief (PEPFAR) initiated its Geographic Prioritization (GP) process whereby it prioritized high burden areas within countries, with the goal of more rapidly achieving the UNAIDS 90–90-90 targets. In Kenya, PEPFAR designated over 400 health facilities in Northeastern Kenya to be transitioned to government support (known as central support (CS)). Methods We conducted a mixed methods evaluation exploring the effect of GP on health systems, and HIV and non-HIV service delivery in CS facilities. Quantitative data from a facility survey and health service delivery data were gathered and combined with data from two rounds of interviews and focus group discussions (FGDs) conducted at national and sub-national level to document the design and implementation of GP. The survey included 230 health facilities across 10 counties, and 59 interviews and 22 FGDs were conducted with government officials, health facility providers, patients, and civil society. Results We found that PEPFAR moved quickly from announcing the GP to implementation. Despite extensive conversations between the US government and the Government of Kenya, there was little consultation with sub-national actors even though the country had recently undergone a major devolution process. Survey and qualitative data identified a number of effects from GP, including discontinuation of certain services, declines in quality and access to HIV care, loss of training and financial incentives for health workers, and disruption of laboratory testing. Despite these reports, service coverage had not been greatly affected; however, clinician strikes in the post-transition period were potential confounders. Conclusions This study found similar effects to earlier research on transition and provides additional insights about internal country transitions, particularly in decentralized contexts. Aside from a need for longer planning periods and better communication and coordination, we raise concerns about transitions driven by epidemiological criteria without adaptation to the local context and their implication for priority-setting and HIV investments at the local level.

scholarly journals Exploring the ripple effects of an Australian hospital redevelopment: a protocol for a longitudinal, mixed-methods study

BMJ Open ◽  
2019 ◽  
Vol 9 (7) ◽  
pp. e027186 ◽  
Author(s):  
Chiara Pomare ◽  
Kate Churruca ◽  
Janet C Long ◽  
Louise A Ellis ◽  
Brett Gardiner ◽  
...  
Keyword(s):  
Mixed Methods ◽  
Patient Experience ◽  
Care Delivery ◽  
Well Being ◽  
Survey Analysis ◽  
Hospital Data ◽  
Delivery Of Care ◽  
Ripple Effects ◽  
Network Analyses ◽  
Mixed Methods Case Study

IntroductionHospital redevelopment projects typically intend to improve hospital functioning and modernise the delivery of care. There is research support for the proposition that redevelopment along evidence-based design principles can lead to improved quality and safety. However, it is not clear how redevelopment influences the wider context of the hospital and its functioning. That is, beyond a limited examination of intended outcomes (eg, improved patient satisfaction), are there additional consequences (positive, negative or unintended) occurring within the hospital after the physical environment is changed? Is new always better? The primary purpose of this study is to explore the ripple effects of how hospital redevelopment may influence the organisation, staff and patients in both intended and unintended ways.Methods and analysisWe propose to conduct a longitudinal, mixed-methods, case study of a large metropolitan hospital in Australia. The study design consists of a series of measurements over time that are interrupted by the natural intervention of a hospital redevelopment. How hospital redevelopment influences the wider context of the hospital will be assessed in six domains: expectations and reflections of hospital redevelopment, organisational culture, staff interactions, staff well-being, efficiency of care delivery and patient experience. Methods of data collection include a hospital-wide staff survey, semistructured interviews, a network survey, a patient experience survey, analysis of routinely collected hospital data and observations. In addition to a hospital-level analysis, a total of four wards will be examined in-depth, with two acting as controls. Data will be analysed using thematic, statistical and network analyses, respectively, for the qualitative, quantitative and relational data.Ethics and disseminationThe study has been reviewed and approved by the relevant Ethics Committee in New South Wales, Australia. The results will be actively disseminated through peer-reviewed journals, conference presentations and in report format to the stakeholders.

A nursing intervention aimed at reducing symptom burden during chemotherapy (CHEMO-SUPPORT): A mixed-methods study of the patient experience

2018 ◽  
Vol 34 ◽  
pp. 35-41 ◽  
Author(s):  
Annemarie Coolbrandt ◽  
Koen Milisen ◽  
Hans Wildiers ◽  
Bert Aertgeerts ◽  
Theo van Achterberg ◽  
...  
Keyword(s):  
Mixed Methods ◽  
Patient Experience ◽  
Symptom Burden ◽  
Nursing Intervention ◽  
Mixed Methods Study

scholarly journals Global health systems partnerships: a mixed methods analysis of Mozambique’s HPV vaccine delivery network actors

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Caroline Soi ◽  
Jessica Shearer ◽  
Baltazar Chilundo ◽  
Vasco Muchanga ◽  
Luisa Matsinhe ◽  
...  
Keyword(s):  
Mixed Methods ◽  
Global Health ◽  
Health Systems ◽  
Hpv Vaccine ◽  
Vaccine Delivery ◽  
Delivery Network

Acceptability and preferences for self‐collected screening for cervical cancer within health systems in rural Uganda: A mixed‐methods approach

2020 ◽  
Vol 152 (1) ◽  
pp. 103-111
Author(s):  
Angeli Rawat ◽  
Catherine Sanders ◽  
Nadia Mithani ◽  
Catherine Amuge ◽  
Heather Pedersen ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Mixed Methods ◽  
Health Systems ◽  
Mixed Methods Approach

scholarly journals An evaluation of a near real-time survey for improving patients’ experiences of the relational aspects of care: a mixed-methods evaluation

2018 ◽  
Vol 6 (15) ◽  
pp. 1-174 ◽  
Author(s):  
Chris Graham ◽  
Susanne Käsbauer ◽  
Robyn Cooper ◽  
Jenny King ◽  
Steve Sizmur ◽  
...  
Keyword(s):  
Mixed Methods ◽  
Real Time ◽  
Patient Experience ◽  
Elderly Care ◽  
Patient Experiences ◽  
Research Network ◽  
Compassionate Care ◽  
Experience Survey ◽  
Study Sites

Background The Francis Report (of 2013) provided many recommendations to improve compassionate care in NHS organisations, including more widespread use of real-time feedback (RTF) to collect patient experience data. This research directly addressed these recommendations and aimed to provide an evidence-based toolkit to support NHS quality improvements. Objectives To develop and validate a survey of compassionate care for use in near real time on elderly care wards and accident and emergency (A&E) departments. This research also evaluated the effectiveness of the RTF approach for improving relational aspects of care and provides suggestions for how the approach can be used by other hospitals to strengthen compassionate care. Design The research utilised a mixed-methods design, using quantitative, qualitative and participatory research approaches to collect patients’ experiences of relational care and the views of NHS staff in an effort to evaluate the processes and impacts of near real-time feedback (NRTF) data collection. Data sources included a NRTF patient experience survey, weekly volunteer diaries, staff interviews and surveys, workshops and meetings with case study sites. Setting The research was carried out across six case study sites across England, in wards that predominantly serve elderly patients and in A&E departments. Participants The 3928 participants in the patient experience survey were inpatients on elderly care wards, or persons who had sought medical care in A&E. Frontline staff, service leads, senior management and volunteers also took part in surveys (n = 274) and interviews (n = 82) designed to understand the staff perspectives and opinions of collecting patient experience data. Interventions A patient experience survey was implemented using a tablet computer-based methodology, facilitated by trained volunteers. Responses were used alongside feedback from staff to evaluate the use of a NRTF approach as a method for improving patient experiences of relational aspects of care. Main outcome measures The patient experience survey measured relational aspects of care. Another outcome measure was improvements to care as planned, implemented and reported by staff. Results A small but statistically significant improvement (p = 0.044) in relational aspects of care over the course of the study was noted overall. Staff implemented a variety of improvements to enhance communication with patients. Limitations Maintaining volunteer and staff engagement throughout the study was difficult. Few surveys were completed per ward or department each week. This made examining trends in patient experiences over time challenging. Conclusions Near real-time feedback offers an effective approach for monitoring and improving relational aspects of care. Future work Staff frequently expressed a view that volunteers’ interactions with patients while administering the survey were themselves beneficial to patients. Future research should examine the impact of volunteer interactions with patients on their experiences of relational aspects of care. Study registration The project is registered on the Clinical Research Network portfolio under the primary trial identification number 18449. Funding The National Institute for Health Research Health Services and Delivery Research programme.

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