W7

Introduction

Qualitative analysis in research is defined as the process of systematically searching and arranging the interview transcripts, observation notes, or other non-textual materials that the researcher accumulates to increase the understanding of the phenomenon, and is increasingly common in health services research. Qualitative analysis is concerned with the social aspects of the world and seeks to answer questions about (1) why people behave the way they do, (2) how opinions and attitudes are formed, (3) how people are affected by the events that go on around them, (4) how and why cultures have developed in the way they have, and (5) the differences between social groups (Hancock, 1998).

Theme is used as an attribute, descriptor, element, and concept. As an implicit topic that organizes a group of repeating ideas, theme enables researchers to answer the study question (Vaismoradi, Jones, Turunen, & Snelgrove, 2016). It contains codes that have a common point of reference and has a high degree of generality that unifies ideas regarding the subject of inquiries. Coding is the process of organizing and sorting data. Codes are usually used to retrieve and categorize data that are similar in meaning so the researcher can quickly find and cluster the segments that relate to one another. Coding can be done in any number of ways, but it usually involves assigning a word, phrase, number or symbol to each coding category. The selected papers to perform the following qualitative analysis include “Drivers of overall satisfaction with primary care: Evidence from the English General Practice Patient Survey”, “Improving Wait Times and Patient Satisfaction in Primary Care”, and “Impact of patient satisfaction ratings on physicians and clinical care”.

Source Descriptions

Source 1:

The article was written to determine which aspects of primary care matter most to patients, we aim to identify those aspects of patient experience that show the strongest relationship with overall satisfaction and examine the extent to which these relationships vary by socio-demographic and health characteristics. The data was from the 2009/10 English General Practice Patient Survey including 718 respondents registered with 8362 primary care practices. The analysis was compared from four domains of care: access, helpfulness of receptionists, doctor communication and nurse communication.

Measurement of the relationship between patient experience and satisfaction helps to identify those aspects of health-care experiences which matter most to patients. Identifying patient priorities can help to inform improvements in the measurement and reporting of patient experience,

Doctor communication showed the strongest relationship with overall satisfaction (standardized coefficient 0.48, 95% CI = 0.48, 0.48), followed by the helpfulness of reception staff (standardized coefficient 0.22, 95% CI = 0.22, 0.22). Among six measures of patient experience, obtaining appointments in advance showed the weakest relationship with overall satisfaction (standardized coefficient 0.06, 95% CI = 0.05, 0.06). Interactions showed statistically significant but small variation in the importance of drivers across different patient groups.

In conclusion, for all patient groups, communication with the doctor is the most important driver of overall satisfaction with primary care in England, along with the helpfulness of receptionists. In contrast, and despite being a policy priority for government, measures of access, including the ability to obtain appointments, were poorly related to overall satisfaction.

Source 2:

According to the Michael, Schaffer, Egan, Little, and Pritchard, (2013), in article Improving Wait Times and Patient Satisfaction in Primary Care. Ambulatory healthcare is the largest and most widely used segment of the American healthcare system. A strong and inverse relationship between patient satisfaction and wait times in primary care and specialty care physician offices 

Key study objectives included (a) identification of factors that contribute to long waiting room and exam room wait times, (b) identification of opportunities for improvement, (c) implementation of one or more process improvements using the PDSA model for improvement, and (d) evaluation of the impact on patient wait times, patient satisfaction with wait times, and overall satisfaction with the care experience.

Patient satisfaction was defined as (a) patient satisfaction with waiting room wait time, (b) patient satisfaction with exam room wait time, and (c) the likelihood of referring friends and relatives to the practice as a proxy measure associated with overall satisfaction and the likelihood of returning for care in the future. 

The study was conducted in the APCU at the Health Department's central practice location. In a typical month the practice team in this unit, consisting of two physicians and two advanced practice nurses (APN), provides care for approximately 1,500 patients. Approximately 79% of patients are White, 16% are Black/African American, 2% are Asian, and 23% are Hispanic. Prevalent health problems include hypertension, diabetes, hyperlipidemia, depression, and chronic pain.

Following completion of an initial PDSA cycle, significant reductions in mean waiting room and exam room wait times (p = .001 and p = .047, respectively) were observed along with a significant increase in patient satisfaction with waiting room wait time (p = .029). The results support the hypothesis that the DMIC framework and the PDSA method can be applied to improve wait times and patient satisfaction among primary care patients.

Source 3

The study was on patient satisfaction ratings on job satisfaction and clinical care. A 26-item survey, developed by a state medical society in 2012 to assess the effects of patient satisfaction surveys, was administered online to physician members of a state-level medical society. The goal of this project was to assess physicians’ perceptions about the impact of patient experience of care surveys on their job satisfaction and clinical practice.

Patient experience of care is an important element of patient-centered care, the implementation of which has become the focus of wide-scale efforts aimed at improving health and health-care delivery. Results from patient satisfaction surveys can facilitate positive change and quality improvement (QI) initiatives in health-care delivery that are responsive to patients’ needs. Data support the potential benefits of high patient satisfaction; satisfied patients can have increased treatment adherence and may improve health outcomes.

A study of US adults (N=51,946) found that, when compared with those least satisfied, the most satisfied patients had 12% higher odds of hospital admission, 9% greater expenditures for both health services and prescription drugs, and a 26% higher mortality risk, which increased to 44% when additionally adjusted for baseline health status and comorbidities. Because patients’ treatment satisfaction may rely more on their perception of met expectations than on objective medical outcomes, one possible explanation for such findings can be from the inappropriate medical practices.

Achieving high patient satisfaction is important, valuable, and a crucial element of patient-centered care. QI initiatives that are responsive to patients’ needs can improve patient satisfaction; in turn, satisfied patients may have better treatment adherence and outcomes.

List of themes

Discussion/Conclusion

	Patient satisfaction is generally an indication of care quality. Information on satisfaction based on u ser perceptions and needs allows policymakers to identify areas for improvement. Consumers can evaluate multiple dimensions of health care, such as communication, which can help to strengthen communication between caregivers and service providers. . In addition, patient satisfaction is associated with health care options: improved satisfaction, increased adherence to treatment, and meeting attendance. Satisfaction for ranking health systems is used to create "dialect tables", but there are some doubts about the correct interpretation of satisfaction. For example, higher satisfaction has been identified with an increase in both health care use, costs and mortality rates.

	The role of health in ensuring the general level of well-being and well-being of members of society should be priority for each of the primary care centers. The level of patient satisfaction with the health care system should be high, when they avail any type of services in primary care. Nevertheless, the satisfaction that results from the fulfillment of expectations depends not only on the technical capabilities of modern medicine and the institutional mechanisms for providing assistance, but also on a multitude of cultural, economic and social factors.

Policymakers, who determine the directions of development of health systems, should build strategies for reform taking into account the requirements of a new generation of patients. For the healthcare organza irons and policy makers, the urgent task is to focus more attention on the consumers of medical services, to introduce and promote primary care, which focuses on the wishes of patients. Public support for the course of ongoing reforms on which the future of health systems depends to a large extent on the ability of their leaders to involve the population in solving the problems of medical care beginning at the level of "doctor-patient" and to provide patients with the opportunity not to stand alone with the disease, but to find reliable allies in this struggle.

Primary care organization should focus on the features that promote overall equality and available outpatient utilization. The structures that specifically support good and equal access to primary care services in the population while maintaining primary care as coordinating and equal opportunities for other outpatient care should be promoted. Low thresholds in primary care, ie low patient charges, have proven to be important for wide and good accessibility. A strengthened and expanded primary care can also play an essential role, but the organization should also look at the overall role of primary care in achieving equal care utilization throughout the care. 

Contribution to Health Service Research

Results from outcomes and effectiveness research have provided a strong foundation for the implementation of quality improvement at multiple levels of health care delivery. For physicians and other health care providers, outcomes research has been instrumental in the development of clinical practice guidelines. For hospitals and other healthcare institutions, the use of outcomes research data has been incorporated into accreditation criteria. The Joint Commission on Accreditation of Healthcare Organizations (JACHO) is using outcome data to redefine its standards of accreditation, placing a greater emphasis on performance data rather than structural and operational data. Third-party payors, traditional insurance companies, managed care plans, and government payers are using outcomes data to guide their reimbursement policies (Foundation for Health Services Research, 1994).
At the system level, outcomes and effectiveness research is providing the foundation for implementing quality improvement systems for health plans, hospitals, and other healthcare organizations and institutions. In 2001, the Committee on Health Care Quality in America and the Institute of Medicine (IOM) issued a landmark report Crossing the Quality Chasm: A new Health System for the 21st Century. This report was a follow-up to an earlier publication To Err Is Human, which documented medical errors, in particular those that contributed to patient deaths, in the U.S. health care system (Kreidler, M. L., 2013). Together, these reports have stir up health care organizations to improve their quality of health care delivery. In meeting up with the 21st century healthcare change, the IOM Committee proposed an agenda to improve quality by addressing six key dimensions of health care systems: Safety: Avoiding injuries to patients from the care that is intended to help them. Effectiveness: Providing services based on scientific knowledge and avoiding under use and overuse of medical resources. Patient-centered: Providing care that is respectful of and responsive to individual patient preferences, needs, and values and ensuring that patient values guide all clinical decisions. Timely: Reducing waits and sometimes harmful delays for both those receive and those who give care. Efficient: Avoiding waster, including waste of equipment, supplies, ideas, and energy. 




References

Foundation for Health Services Research. (1994). Health outcomes research: A primer. Washington, DC: Foundation for Health Services Research.
Hancock, B. (1998). An introduction to qualitative research. Retrieved from  
http://faculty.cbu.ca/pmacintyre/course_pages/MBA603/MBA603_files/IntroQualitativeResearch.pdf
Jones, J., Vaismoradi, M., Turunen, H., Snelgrove, S. (2016). Theme development in qualitative content analysis and thematic analysis. Journal of Nursing Education and Practice, 6(5), 100-110.
Kreidler, M. L. (2013). Quality Improvement in Health Care. Research Starters: Business (Online Edition), retrieved from   http://eds.a.ebscohost.com.ezproxy.umuc.edu/eds/detail/detail?vid=4&sid=56562af3 633e-4882-91e5-9cee78d67cf6%40sessionmgr4009&bdata=JnNpdGU9ZWRzLWxpdmUmc2NvcGU9c2l0ZQ%3d%3d#AN=89163940&db=ers
Michael, M., Schaffer, S. D., Egan, P. L., Little, B. B. and Pritchard, P. S. (2013), Improving Wait Times and Patient Satisfaction in Primary Care. Journal for Healthcare Quality, 35: 50–60. doi:10.1111/jhq.12004
Paddison, C. A. M., Abel, G. A., Roland, M. O., Elliott, M. N., Lyratzopoulos, G. and Campbell, J. L. (2015), Drivers of overall satisfaction with primary care: evidence from the English General Practice Patient Survey. Health Expect, 18: 1081–1092. doi:10.1111/hex.12081. Retrieved from http://onlinelibrary.wiley.com/doi/10.1111/hex.12081/full
Zgierska, A., Rabago, D., & Miller, M. M. (2014). Impact of patient satisfaction ratings on physicians and clinical care. Patient Preference and Adherence, 8, 437–446. http://doi.org/10.2147/PPA.S59077. Retrieved from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3979780/




Introduction

 

 

Qualitative analysis in research is defined as the process of systematically 

searching and arranging the interview transcripts, observation notes, or other non

-

textual 

materials that the researcher accumulates to increase the understanding of the phenomeno

n, and 

is increasingly common in health services research. 

Qualitative analysis is concerned with the 

social aspects of the world and seeks to answer questions about (1) why people behave the way 

they do, (2) how opinions and attitudes are formed, (3) how 

people are affected by the events that 

go on around them, (4) how and why cultures have developed in the way they have, and (5) the 

differences between social groups (Hancock, 1998). 

 

Theme is used as an attribute, descriptor, element, and con

cept.

 

As an i

mplicit top

ic that 

organizes a group of re

peating ideas,

 

theme

 

enables researchers to answer the study

 

question

 

(Vaismoradi, Jones, Turunen, & Snelgrove, 2016). It contains codes that have a common point of 

reference and has a high degree of generality tha

t unifies

 

ideas 

regarding the subject of inquiries. 

Coding is the process of organizing and sorting data. Codes are usually used to retrieve and 

categorize data that are similar in meaning so the researcher can quickly find and cluster the 

segments that re

late to one another. 

Coding can be done in any number of ways, but it usually 

involves assigning a word, phrase, number or symbol to each coding category

. The selected 

papers to perform the following qualitative analysis include 

“

Drivers of overall s

atisfaction with 

primary care: E

vidence from the English General Practice Patient Survey

”, “

Improving Wait 

Times and Patient Satisfaction in Primary Care

”, 

and 

“

Impact of patient satisfaction ratings on

 

physicians and clinical care

”. 

 

 

 

 

Introduction 
 Qualitative analysis in research is defined as the process of systematically 
searching and arranging the interview transcripts, observation notes, or other non-textual 
materials that the researcher accumulates to increase the understanding of the phenomenon, and 
is increasingly common in health services research. Qualitative analysis is concerned with the 
social aspects of the world and seeks to answer questions about (1) why people behave the way 
they do, (2) how opinions and attitudes are formed, (3) how people are affected by the events that 
go on around them, (4) how and why cultures have developed in the way they have, and (5) the 
differences between social groups (Hancock, 1998).  
Theme is used as an attribute, descriptor, element, and concept. As an implicit topic that 
organizes a group of repeating ideas, theme enables researchers to answer the study question 
(Vaismoradi, Jones, Turunen, & Snelgrove, 2016). It contains codes that have a common point of 
reference and has a high degree of generality that unifies ideas regarding the subject of inquiries. 
Coding is the process of organizing and sorting data. Codes are usually used to retrieve and 
categorize data that are similar in meaning so the researcher can quickly find and cluster the 
segments that relate to one another. Coding can be done in any number of ways, but it usually 
involves assigning a word, phrase, number or symbol to each coding category. The selected 
papers to perform the following qualitative analysis include “Drivers of overall satisfaction with 
primary care: Evidence from the English General Practice Patient Survey”, “Improving Wait 
Times and Patient Satisfaction in Primary Care”, and “Impact of patient satisfaction ratings on 
physicians and clinical care”.