Literature DB >> 36203651

Identifying Patient Satisfaction Determinants in Hemodialysis Settings: A Systematic Review.

Arwa Al Nuairi1, Hala Bermamet1, Hind Abdulla1, Mecit Can Emre Simsekler1, Siddiq Anwar2, Krista L Lentine3.   

Abstract

Purpose: Patient satisfaction is a measure of care quality that assists providers in determining the effectiveness of their services while meeting patients' expectations. This study aimed to review existing studies that have focused on patients' satisfaction determinants in Hemodialysis (HD) settings.
Methods: Electronic databases (PubMed, ScienceDirect, Scopus, and Google Scholar) were searched from 2000 onwards to identify studies using search terms related to patient satisfaction and hemodialysis centers. Article review was limited to studies written in English. A total of 19 articles were included by following the PRISMA statement. Data were extracted using a structured form and summarized in a tabular format to identify different determinants that showed a relationship with patient satisfaction. Determinants were classified into provider-related determinants and patient-related characteristics.
Results: Provider-related determinants of patient satisfaction in HD centers include staff, facility, service, and treatment. Patient-related characteristics associated with satisfaction include demographics and health status history. Based on this systematic review, key correlates of patient satisfaction in hemodialysis centers include: staff, facility, service, treatment, patient's demographics, and health status.
Conclusion: The findings of this study can help healthcare facilities in taking measures in line with the specified determinants to enhance patient satisfaction and improve the organizational performance of the healthcare centers. It is important to constantly study and improve these determinants based on patient feedback to improve patient satisfaction and quality of care.
© 2022 Al Nuairi et al.

Entities:  

Keywords:  healthcare quality; hemodialysis patients; patient experience; patient satisfaction

Year:  2022        PMID: 36203651      PMCID: PMC9531609          DOI: 10.2147/RMHP.S372094

Source DB:  PubMed          Journal:  Risk Manag Healthc Policy        ISSN: 1179-1594


Introduction

Healthcare delivery is a co-creation process between providers and patients. Therefore, understanding patients’ characteristics, their needs, and requirements is as important as measuring provider performance to evaluate the healthcare quality.1 Patient satisfaction assessment is becoming highly prevalent in healthcare services and an essential part of their quality improvement. It is proven that improved patient satisfaction leads to better healthcare-related quality of life,2 improves clinical outcomes, and reduces the number of readmissions. It also changes the patients’ behavioral intentions like the complaints on service,3 their loyalty, and recommendation to others.4 Thus, better patient satisfaction results in improved organizational performance as it reduces cost and increases the revenue, in addition to the improvement in the reputation of the healthcare facility.5 Patient satisfaction assessments are subjected to and influenced by patient expectations. They measure the extent to which the healthcare experience and the patient’s perceptions of the received service met their expectations.6 The process of assessing patient satisfaction is usually done by conducting surveys that assess different determinants.7 These determinants are classified into patient-related characteristics or provider-related determinants. Understanding these determinants and to what extent they affect patient satisfaction can help healthcare providers in identifying the areas that need improvement for better quality of care.1 Due to their critical role in the healthcare quality, several studies in the literature investigated patient satisfaction determinants. A variety of patient satisfaction frameworks were defined by international institutes such as the NHS and HCAHPS and different healthcare settings vary in their prioritized determinants.8 One of the challenging settings is related those who receive in-center hemodialysis treatment. Hemodialysis patients go through a complex treatment journey. The typical prescription for dialysis therapy is three times a week which requires the patients to visit the center frequently, deal with different staff members, stay in the center for long periods, and consult and follow-up with different physicians, nurses, and technicians.9 Despite the rapid increase in the numbers of dialysis patients seeking treatment in hemodialysis centers, few papers have conducted a systematic review of hemodialysis patients’ satisfaction determinants and to better understand patients’ needs in this care setting.10,11 To our knowledge, no prior systematic studies explored the determinants that hemodialysis patients care about and expect during their treatment journey. To address this unmet need and advance understanding of how determinants affect hemodialysis patients’ satisfaction, we aimed to identify and review the determinants that influence patient satisfaction in hemodialysis settings in a systematic manner. Our goal is to guide decision-makers in improving their patient experience design by understanding their patients’ needs and the requirements for better satisfaction.

Methodology

This study reports an overview of the literature on patient satisfaction determinants in hemodialysis settings. This systematic review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) statement’s recommendations.12 The PRISMA statement contains a checklist for systemic evaluations that ensures transparency, iteration, and full reporting. The checklist of this review is presented in the .

Search Strategy

The studies included were primarily concerned with patient satisfaction determinants in hemodialysis settings. The following databases were used to conduct the literature search: PubMed, ScienceDirect, Scopus, and Google Scholar. The search included primary research papers published in peer-reviewed journals and written in English from 2000 onwards. The search terms used were (Patient experience AND hemodialysis center) OR (Patient satisfaction AND hemodialysis centers) OR (Patient satisfaction determinants AND hemodialysis centers) OR (Patient satisfaction factors AND hemodialysis centers) OR (Hemodialysis satisfaction Domains) OR (Quality of health services AND hemodialysis centers).

Eligibility Criteria and Selection of Studies

Research articles were included considering the following in their content: patient satisfaction determinants with hemodialysis services, patients’ characteristics associated with their satisfaction in hemodialysis centers, and literature review, systematic review, or meta-analysis on hemodialysis patient satisfaction determinants. Conference papers, non-English papers, papers that focused only on one type of treatment, and those that focused only on satisfaction instruments without reporting findings on patient satisfaction were excluded.

Quality Assessment

The systematic review process was carried out in an equitable and unbiased manner. The first phase involved determining the relevance of each paper by reading the title and abstract. Following that, a second screening procedure was carried out, which included reading the entire text of each paper to determine its eligibility. Among the papers found in the literature, after shortlisting the number of searches, 31 papers had almost all the considered factors and among them, some were removed because of factors such as repetition or unclear methodology, and finally, 19 articles were selected for this review study. A flow diagram of the study selection is shown in Figure 1.
Figure 1

Study selection flowchart.

Study selection flowchart.

Data Extraction and Data Analysis

After determining the relevant studies in terms of titles and content, we extracted data into a tabular form. The extracted data included study information (author name, year of publication, country), sample details (number of participants, characteristics), study design (data collection tool, data analysis methodology), determinants (satisfaction domains and factors), outcomes (patient characteristics and satisfaction association, patient satisfaction levels). A summary of the included studies is displayed in Table 1.
Table 1

Characteristics and Findings of the Selected Studies

AuthorsSample SizeMethodologyDeterminantsResults
Country of StudyParticipants’ CharacteristicsData Collection ToolData Analysis
(Koon, 2020)13Patients: 345Nurses: 94Philippines

Nurses with minimum of 3-month experience in HD

18 years old patients or older

Regular treatment sessions for the last 3 months in the same center

Good mental abilities and hemodynamically stable

Practice Environment Scale of Nursing Work Index (PES-NWI)

Caring Factor Survey-Tagalog (CFS-T)

Patient Satisfaction of Nursing Care Quality Questionnaire-Tagalog (PSNCQQ-T)

Descriptive cross-sectional design

Spearman correlation

Nurse caring behaviors

There is a significant link between nursing caring behavior and patient satisfaction

The level of patient satisfaction with nursing care was excellent

- High scores were given to nurses caring activities by HD patients

(Dad, Grobert and Richardson, 2020)14-United States-In-Center Hemodialysis Consumer Assessment of Healthcare Providers and Systems (ICH CAHPS) surveyA practical review paper

Nephrologists’ Communication and Caring (NCC)

Quality of Dialysis Center Care and Operations (DCO)

Providing Information to Patients (PIP)

Higher satisfaction levels were linked with less waiting time, provided information, quality of dialysis staff, center rating, regular interaction with nephrologist, smaller facility size, and more nursing staff per patient

(Harwood et al, 2020)15Patients/ family members: 12HD nurses: 7Rehabilitation staff: 43Canada

Patient and/ or family members

HD staff

Rehabilitation care staff

Interviews

Focus groups

Online surveys

Context-mechanism-outcomes (CMO) diagram

HD service in rehabilitation facilities

Dialysis team communication with rehab staff

Cost

Calm and pleasant environment of the dialysis unit

Enhanced patient experience, quality of life and health outcomes, communication, and reduced costs while providing on-site HD services, as well as a calm and pleasant environment of the HD unit.

Patients were less fatigued with less travelling distances

Major costs saving in medical transportation between the two organizations

(Morgan et al, 2019)16Patients: 66AustraliaPatients in a hemodialysis unitSelf-administered questionnaire

Descriptive statistics,

χ2 test

COM-B model

Theoretical Domains Framework (TDF)

Behavior of dietitians

Patients’ interaction and consultation with dietitians

Delivering nutrition information through consultation on dialysis

Positive satisfaction with earlier interaction with dietitians

Making changes in the diet plan after seeing a dietitian has a negative impact

Providing dietetics services for dialysis patients where and when needed by the patient not at prescheduled intervals.

Telemedicine was not preferred with most of the patients

(Kshirsagar et al, 2019)9Dialysis clinics: 3176United StatesAdult patients with ESRD among different clinics

ICH-CSHPS survey

Star Rating

Quality Incentive Program (QIP)

Descriptive statistics

Regression model

Ordered logit model

Linear regression model

Nephrologists

Dialysis facility

Information transmission

Facility Quality

Direct association between patient satisfaction and dialysis facility quality, in both measurements QIP and star ratings

Stronger relationship with QIP and star ratings for dialysis facility and information transmission than nephrologists’ assessment domains

(Chen et al, 2018)2Patients: 250Taiwan

18 years old patients or older

Patients receiving HD treatment for at least 3 months

Health Care Climate Questionnaire (HCCQ)

Self Determination Theory (SDT)

HRQOL

Structural Equation Modeling (SEM)

Confirmatory Factor Analysis (CFA)

Chi-square test

Autonomy Support

High satisfaction in patients basic needs is associated with perceiving autonomy support

The higher level of basic needs satisfaction leads to higher HRQOL

(Dad et al, 2018)17Patients: 3369United States

18 years old patients or older

Patients receiving HD for at least 3 months

ICH-CAHPS survey.

DCI medical information system

Cross-sectional analysis using logistic regression

Patient demographic (Age, gender, race, education level)

Treatment characteristics – duration

Nephrologists’ Communication and Caring (NCC)

Quality of Dialysis center Care and Operations (DCO)

Providing Information to Patients (PIP)

A higher dialysis clearance was linked to a higher NCC

Treatments that were cut short were linked to lower NCC

A lower educational level was linked to a higher DCO

Using phone rather than mail to administer yielded higher scores of PIP

PIP scores were lower in older patients

Higher ratings of nephrologists, dialysis nurses, and dialysis facilities were correlated with older patients and telephone administration

(Ladin et al, 2017)18Patients: 31United States

Patients receiving maintenance dialysis for over a month

Patients above 65 years.

English speaking

Consenting ability

Patients’ interviewsQualitative analysis

Decision-making experience and choice to initiate dialysis

Patients received the choice of their dialysis modality

Patient engagement

Dissatisfaction with the lack of patients’ options in starting dialysis

Low patient satisfaction due to impacting patient’s preferences

High patients’ satisfaction with ability to choose their dialysis modality

Low treatment satisfaction was linked to poor decision-making experiences

(Coleman et al, 2017)19Patients: 561Australia

18 years old patients or older

Patients with CKD (non-dialysis) who attended CKD nurse-led clinics over six months

Demographic assessment

CKD-Nurse Practitioner Patient Satisfaction Questionnaire

Descriptive statistics

Kruskal–Wallis test

Chi Square test

Spearman correlation coefficient

Access to service

Care coordination

Satisfaction and safety

Quality of service

High patient satisfaction of nurse-led clinics

A variation in patients’ responses between different gender and age group.

Nurses-patient discussion questions vary based on gender and age group.

Communication is critical, and car-parking, more practical support, and having accessible locations needs improvements

(Bayoumi, Guindy and Ahmed, 2016)20Patients: 79Egypt

18 years old patients or older

Patients receiving HD for at least 3 months

PS18 QuestionnaireCross-sectional study testing correlations

Patient demographic (sex, age, social status, education level and work)

Ease to access

Time spent with the doctor and communication

Financial aspect

Technical quality

Interpersonal manner

Satisfaction level is positively correlated with financial aspects, interpersonal manner, communication, and time spent with the doctor which is correlated with accessibility and convenience.

Technical quality is positively related to time spent with the doctor, communication, and accessibility and convenience

(Richardson et al, 2015)21Patients: 8213US

Patients aged 18 years old or older

Receiving treatment for at least 3 months

DCI Clinic Report Card

Spearman correlation coefficients

Logistic regression

Mixed model

Patientdemographic (gender, race, age, health status)

Overall satisfaction was linked to patient age, race, vintage, and missed or shortened treatments in the past

(Gu and Itoh, 2015)4Patients: 807JapanDialysis patientsSelf-administered questionnaire

Principal component analysis

Stepwise regression analysis

Treatment and therapy

Information provided

Interpersonal relations

Reception

Environment and equipment

Staff responsiveness

Staff skills and expertise

Patient satisfaction is correlated with provided information, interpersonal relations, reception. Also, environment, and tools, and treatment and therapy being critical determinants.

High association between patients’ quality of life and the overall satisfaction that is associated with high loyalty

(Donia et al, 2015)22Patients: 69EgyptPatients who received 3 HD sessions regularly3 Sate questionnaireDescriptive analysis

Staff (physicians, nurses, and workers)

Environment

Food

Waiting time

Food has the least excellent evaluation

Physician’s performance had the highest evaluation

(Palmer et al, 2014)23Patients: 1846Europe and America

Patients treated in HD

18 years old patients or older

Choices for Healthy Outcomes in Caring for End-Stage Renal Disease (CHOICE) questionnaireMultilevel logistic regression

Staff performance and attitude

Ease to access and reach

Information transaction

Gender

Health status and history

Education level

Age

Social status

Patients require more accurate information

Treatment country is not related to the satisfaction.

Perception of care is influenced by the patient’s age and depressive symptoms, but not demographics and clinical features

Positive relationship between dialysis care performance level and overall patient satisfaction

(Chenitz, Fernando and Shea, 2014)24Patients: 30United States

Patients treated in HD for at least 6 months

18 years old patients or older

English speaking

Semi structured interview following Behavioral Model of Health Services Use

Close-ended questions

SF-12

Fisher’s exact test

Wilcoxon rank-sum test

Analyzing verbatim

Connection to peers at dialysis unit

Care provided by the physicians

Information provided

Child Care and facility services

Treatment scheduling and transportation availability

Patients connected to peers were emotionally connected, and able to articulate concerns.

Transportation was a common problem

Decision to attend treatment was influenced by education from the health care team, and motivation or competing priorities.

(Argentero, Dell’Olivo and Ferretti, 2008)25Staff: 402Patients: 695Italy

Staff (nurses and physicians)

HD patients of March 2005

Maslach Burnout Inventory assessment to assess the staff burnout - nurses

A self-administered questionnaire – patients

Descriptive analysis

Factor analysis.

Analysis of variance

Correlational analysis (Spearman)

Communication of Information

Relationship with health care staff

Staff performance

Organizational aspects of health care service

Emotional Exhaustion

Depersonalization

Personal Accomplishment

Patient satisfaction is

Directly related to staff personal accomplishment.

Negatively correlated with staff emotional exhaustion

No correlation with staff depersonalization

High levels of burnout in physicians and nurses are associated with poor patient satisfaction in HD centers

(Juergensen et al, 2006)26PD patients: 62HD patients: 84United States

18 years old or older

Continued the same HD modality for at least 6 months

Fluent in English

- Medically stable for at least 2 months before the study without acute medical complications

Self-administered questionnaire

Charlson Comorbidity Index (CCI) scores

Statistical analysis including t-test, Pearson correlation, and regression

Staff interactions

Frequency of medical care

Social interaction with other dialysis patients

Ability to do treatment at home

Ability to do treatment while sleeping

Length of treatment

Availability of supplies

PD patients’ satisfaction was higher than HD patients

In general, PD patients were more satisfied with their care and their treatment has lower impact on their lives than HD patients

(Rubin et al, 2004)27Patients: 656United States

HD patients

Mean age of 54 years.

Medical Outcomes Study 36-Item Short-Form Health Survey (MOS SF-36)Multiple logistic regression analysis

Staff availability

Technical quality

Interpersonal Treatment

information and coordination

Response to pain

Social worker availability

The High scores for nurses’ and dialysis staff’s care, hygienic conditions, pain response, and availability during emergencies

Poor score for coordination between nephrologists and other physicians, frequency of seeing the patient and accuracy of information

Overall treatment rating is outstanding

(Kovac et al, 2002)28Patients: 79United States

Age 20 to 85 years

Patients treated from 4 to 244 months

Patients’ interviewsPearson’s correlations

Information provided

Physician caring

Staff responsiveness

Patient satisfaction improved with more provided details

Lower dialysis attendance was associated with dissatisfaction

Critical role of nephrologist in patient compliance.

Patients care about physicians more than other staff.

Characteristics and Findings of the Selected Studies Nurses with minimum of 3-month experience in HD 18 years old patients or older Regular treatment sessions for the last 3 months in the same center Good mental abilities and hemodynamically stable Practice Environment Scale of Nursing Work Index (PES-NWI) Caring Factor Survey-Tagalog (CFS-T) Patient Satisfaction of Nursing Care Quality Questionnaire-Tagalog (PSNCQQ-T) Descriptive cross-sectional design Spearman correlation There is a significant link between nursing caring behavior and patient satisfaction The level of patient satisfaction with nursing care was excellent - High scores were given to nurses caring activities by HD patients Nephrologists’ Communication and Caring (NCC) Quality of Dialysis Center Care and Operations (DCO) Providing Information to Patients (PIP) Higher satisfaction levels were linked with less waiting time, provided information, quality of dialysis staff, center rating, regular interaction with nephrologist, smaller facility size, and more nursing staff per patient Patient and/ or family members HD staff Rehabilitation care staff Interviews Focus groups Online surveys HD service in rehabilitation facilities Dialysis team communication with rehab staff Cost Calm and pleasant environment of the dialysis unit Enhanced patient experience, quality of life and health outcomes, communication, and reduced costs while providing on-site HD services, as well as a calm and pleasant environment of the HD unit. Patients were less fatigued with less travelling distances Major costs saving in medical transportation between the two organizations Descriptive statistics, χ2 test COM-B model Theoretical Domains Framework (TDF) Behavior of dietitians Patients’ interaction and consultation with dietitians Delivering nutrition information through consultation on dialysis Positive satisfaction with earlier interaction with dietitians Making changes in the diet plan after seeing a dietitian has a negative impact Providing dietetics services for dialysis patients where and when needed by the patient not at prescheduled intervals. Telemedicine was not preferred with most of the patients ICH-CSHPS survey Star Rating Quality Incentive Program (QIP) Descriptive statistics Regression model Ordered logit model Linear regression model Nephrologists Dialysis facility Information transmission Facility Quality Direct association between patient satisfaction and dialysis facility quality, in both measurements QIP and star ratings Stronger relationship with QIP and star ratings for dialysis facility and information transmission than nephrologists’ assessment domains 18 years old patients or older Patients receiving HD treatment for at least 3 months Health Care Climate Questionnaire (HCCQ) Self Determination Theory (SDT) HRQOL Structural Equation Modeling (SEM) Confirmatory Factor Analysis (CFA) Chi-square test Autonomy Support High satisfaction in patients basic needs is associated with perceiving autonomy support The higher level of basic needs satisfaction leads to higher HRQOL 18 years old patients or older Patients receiving HD for at least 3 months ICH-CAHPS survey. DCI medical information system Patient demographic (Age, gender, race, education level) Treatment characteristics – duration Nephrologists’ Communication and Caring (NCC) Quality of Dialysis center Care and Operations (DCO) Providing Information to Patients (PIP) A higher dialysis clearance was linked to a higher NCC Treatments that were cut short were linked to lower NCC A lower educational level was linked to a higher DCO Using phone rather than mail to administer yielded higher scores of PIP PIP scores were lower in older patients Higher ratings of nephrologists, dialysis nurses, and dialysis facilities were correlated with older patients and telephone administration Patients receiving maintenance dialysis for over a month Patients above 65 years. English speaking Consenting ability Decision-making experience and choice to initiate dialysis Patients received the choice of their dialysis modality Patient engagement Dissatisfaction with the lack of patients’ options in starting dialysis Low patient satisfaction due to impacting patient’s preferences High patients’ satisfaction with ability to choose their dialysis modality Low treatment satisfaction was linked to poor decision-making experiences 18 years old patients or older Patients with CKD (non-dialysis) who attended CKD nurse-led clinics over six months Demographic assessment CKD-Nurse Practitioner Patient Satisfaction Questionnaire Descriptive statistics Kruskal–Wallis test Chi Square test Spearman correlation coefficient Access to service Care coordination Satisfaction and safety Quality of service High patient satisfaction of nurse-led clinics A variation in patients’ responses between different gender and age group. Nurses-patient discussion questions vary based on gender and age group. Communication is critical, and car-parking, more practical support, and having accessible locations needs improvements 18 years old patients or older Patients receiving HD for at least 3 months Patient demographic (sex, age, social status, education level and work) Ease to access Time spent with the doctor and communication Financial aspect Technical quality Interpersonal manner Satisfaction level is positively correlated with financial aspects, interpersonal manner, communication, and time spent with the doctor which is correlated with accessibility and convenience. Technical quality is positively related to time spent with the doctor, communication, and accessibility and convenience Patients aged 18 years old or older Receiving treatment for at least 3 months Spearman correlation coefficients Logistic regression Mixed model Patientdemographic (gender, race, age, health status) Overall satisfaction was linked to patient age, race, vintage, and missed or shortened treatments in the past Principal component analysis Stepwise regression analysis Treatment and therapy Information provided Interpersonal relations Reception Environment and equipment Staff responsiveness Staff skills and expertise Patient satisfaction is correlated with provided information, interpersonal relations, reception. Also, environment, and tools, and treatment and therapy being critical determinants. High association between patients’ quality of life and the overall satisfaction that is associated with high loyalty Staff (physicians, nurses, and workers) Environment Food Waiting time Food has the least excellent evaluation Physician’s performance had the highest evaluation Patients treated in HD 18 years old patients or older Staff performance and attitude Ease to access and reach Information transaction Gender Health status and history Education level Age Social status Patients require more accurate information Treatment country is not related to the satisfaction. Perception of care is influenced by the patient’s age and depressive symptoms, but not demographics and clinical features Positive relationship between dialysis care performance level and overall patient satisfaction Patients treated in HD for at least 6 months 18 years old patients or older English speaking Semi structured interview following Behavioral Model of Health Services Use Close-ended questions SF-12 Fisher’s exact test Wilcoxon rank-sum test Analyzing verbatim Connection to peers at dialysis unit Care provided by the physicians Information provided Child Care and facility services Treatment scheduling and transportation availability Patients connected to peers were emotionally connected, and able to articulate concerns. Transportation was a common problem Decision to attend treatment was influenced by education from the health care team, and motivation or competing priorities. Staff (nurses and physicians) HD patients of March 2005 Maslach Burnout Inventory assessment to assess the staff burnout - nurses A self-administered questionnaire – patients Descriptive analysis Factor analysis. Analysis of variance Correlational analysis (Spearman) Communication of Information Relationship with health care staff Staff performance Organizational aspects of health care service Emotional Exhaustion Depersonalization Personal Accomplishment Patient satisfaction is Directly related to staff personal accomplishment. Negatively correlated with staff emotional exhaustion No correlation with staff depersonalization High levels of burnout in physicians and nurses are associated with poor patient satisfaction in HD centers 18 years old or older Continued the same HD modality for at least 6 months Fluent in English - Medically stable for at least 2 months before the study without acute medical complications Charlson Comorbidity Index (CCI) scores Statistical analysis including t-test, Pearson correlation, and regression Staff interactions Frequency of medical care Social interaction with other dialysis patients Ability to do treatment at home Ability to do treatment while sleeping Length of treatment Availability of supplies PD patients’ satisfaction was higher than HD patients In general, PD patients were more satisfied with their care and their treatment has lower impact on their lives than HD patients HD patients Mean age of 54 years. Staff availability Technical quality Interpersonal Treatment information and coordination Response to pain Social worker availability The High scores for nurses’ and dialysis staff’s care, hygienic conditions, pain response, and availability during emergencies Poor score for coordination between nephrologists and other physicians, frequency of seeing the patient and accuracy of information Overall treatment rating is outstanding Age 20 to 85 years Patients treated from 4 to 244 months Information provided Physician caring Staff responsiveness Patient satisfaction improved with more provided details Lower dialysis attendance was associated with dissatisfaction Critical role of nephrologist in patient compliance. Patients care about physicians more than other staff.

Results

Table 1 summarizes the 19 studies related to hemodialysis patients’ satisfaction determinants. More than 50% of the studies were from the United States (US) followed by Australia and Egypt with two studies each. The rest of the studies were from different parts of the world such as Japan, Canada, Taiwan, Philippines, and Italy. In terms of data collection tools, a variety of them were used ranging from self-administrated tools to internationally developed surveys such as In-Center Hemodialysis Consumer Assessment of Healthcare Providers and Systems (ICH CAHPS) survey, and Choices for Healthy Outcomes in Caring for End-Stage Renal Disease (CHOICE) questionnaire. Collected data were analyzed utilizing different methods like descriptive analysis, Pearson’s correlations, Spearman analysis, Chi-Square test, and Context-mechanism-outcomes (CMO) diagram. In addition to that, regression analysis, multiple logistics regression, and linear regression were employed. As presented in Table 1, a wide range of determinants influencing patients’ satisfaction in hemodialysis settings were discussed in the literature. These include provider-related determinants and patient-related characteristics. During the analysis, we qualitatively subcategorized the provider-related determinants into staff, facility, service, and treatment to better understand possible variation in such factors’ importance in patient satisfaction. Patient-related characteristics could be patient demographics and health status history. The determinants and their relationship with patient satisfaction are then discussed in detail. Given the aim of this study of exploring the patient satisfaction determinants in hemodialysis settings, we identifed different factors and discussed them further in the following categories.

Staff

Healthcare staff in hemodialysis centers play a major role in patient satisfaction. This is not surprising, as in-center hemodialysis requires on average three sessions weekly, with interactions with a variety of staff including nephrologists, nurses, technicians, social workers, dieticians and other team members. Different staff-related determinants were found that influence patient satisfaction. Information provided by the staff is a critical determinant of hemodialysis patient satisfaction. Educating patients and their families about the disease, the current situation of the patient, the treatment options and their consequences, and the long-term impact on the patient quality of life are critical factors for hemodialysis patients.4,14,28 By providing clear and complete information, patients gain a clear picture of their condition that allow them to be involved in treatment decisions. Therefore, patients receive the feeling of being in control, connected, and competent, factors that are directly related to patient satisfaction.2 In different studies, it was shown that lack of the patient’s choices to initiate dialysis treatment and ineffective decision-making experiences were related to low patient satisfaction.18,23 It was also noted that patients’ attention to detail increases with time, which requires more information and focus from the staff to maintain their satisfaction.25 In addition to that, patient satisfaction is positively influenced with the facility quality that is strongly associated with information transmission.9 Moreover, physician communication and caring skills such as listening to the patients effectively, respecting them, and interacting with them have a great effect on the overall hemodialysis patient satisfaction. Giving the patient enough treatment time is an essential aspect of communication and caring, and it results in higher staff communication and care scores17 and thus, increases patient satisfaction.20 It was also found that nursing caring behavior has a significant direct relationship with the patient satisfaction level.13 Better communication between staff and patients leads to a clear understanding of the patients’ concerns and needs, where the opposite could result in patient frustration, isolation, or disempowered feeling.29 Besides, patients with kidney failure are usually required to follow up with different physicians in different settings that make the internal communication between the staff a major satisfaction factor, in addition to the staff availability and responsiveness to the patients’ pain.27 Relationship building has many positive outcomes such as patient’s comfortability, loyalty, and commitment to dialysis sessions28 and therefore, better clinical outcomes. Interpersonal relations are a crucial determinant for patient satisfaction in hemodialysis centers. However, it is considered the most important determinant in other healthcare settings. This variation could be due to the frequent visits of dialysis patients that leads them in prioritizing other aspects like facility and therapy.4 Further, studies showed that interpersonal relations established between the staff and the patient have greater impact on patient satisfaction than staff technical skills. This is due to patients taking the staff’s technical skills for granted and assessing the quality of healthcare from emotional and interpersonal perspectives.25,30

Services

Patient satisfaction increases in an organization where more attention is given to the quality of provided services, operations, and processes. Different aspects were examined in the literature to assess patient satisfaction with the provided services at hemodialysis centers. First, patient engagement is becoming more and more important for maintaining patient satisfaction. Patients are demanding better access to providers and more control of their health journey. Giving patients a clear voice in sharing their views of their treatment is important because it helps physicians to learn through dialogue and educational opportunities. Patients who were involved in decision-making had a more optimistic attitude toward dialysis. Poor decision-making experiences, on the other hand, were linked to low treatment satisfaction, which means that patients had limited engagement and choices regarding their dialysis treatment.18 Likewise, the center administrative procedure is another service that determines patients’ satisfaction with their hemodialysis treatment. The process includes registration, admission, and discharge procedure. If access to healthcare facilities is enhanced, patients would be less disturbed by their treatment. A statistical analysis showed a positive correlation between the provider’s technical quality, and service accessibility as well as convenience that also influence the health care outcomes and satisfaction levels.20 Delays in administrative procedure lead to longer patients’ waiting time that consequently affect their satisfaction level negatively.14 Patients consider waiting in their healthcare centers as wasted or lost opportunity time.31 Moreover, the administrative procedure’s coordination and follow-up process had a significant impact on patient satisfaction. This included the ease of booking, rescheduling, and patients’ communication with their providers between appointments. Besides, nutrition services play an important role in hemodialysis patients’ recovery and well-being. Such services can influence patients’ satisfaction with their overall hospital experience. Preparing food with appropriate quality and quantity and engaging patients on hemodialysis with dietetic services increase patient satisfaction. Studies showed that seeing a dietitian since commencing hemodialysis and receiving nutrition attention and care increased patient satisfaction.16 Another finding reported in the literature was associated with higher patient satisfaction among mothers attending hemodialysis sessions due to the availability of childcare services. Maternity and childcare services helped in creating better clinical outcomes by making it easy for mothers on hemodialysis treatment to attend their sessions.24 Transportation availability is another factor that was commonly measured across studies. Since hemodialysis is usually performed three times a week in a facility, the accessibility and availability of dialysis transportation is a major concern for both patients and the healthcare system. Patients may be late or miss their appointments due to the lack of a reliable and effective transportation system. This will result in overcrowding in waiting rooms, with patients rating their experience as poor. According to recent studies, patients rated insufficient transportation as an obstacle to hemodialysis attendance, lowering their overall satisfaction. Moreover, the availability of a reliable shuttle service increased patient satisfaction with their hemodialysis treatment.15,19,24 Another study related to transportation and distance from the dialysis center revealed that to achieve an improvement in patient experience and reduction of travel costs, hemodialysis services could be provided on-site in different locations. For instance, when people on hemodialysis also require a rehab program, the hemodialysis services could be provided in the rehab facility setting. Thus, patients do not have to waste their time waiting for transportation to and from hemodialysis centers.15 The opportunity of providing dialysis services in different locations is a mechanism for success in improved patient experience.

Facility

Facility is another important determinant that was reviewed repeatedly in the literature. Patients tend to make a first impression of the healthcare center based on the facility location and its internal and external layout even before a service experience begins. Since dialysis patients visit the center frequently, they must access the facility smoothly without facing any obstacle each time. This highly depends on its location and whether it is near or far from the city center. Another issue that must be taken into consideration is the availability of enough parking slots for patients, medical staff, and visitors. Besides that, a valet parking service might be helpful and timesaving to the patients. A study revealed that the location of the facility was a factor to consider for improving patients’ satisfaction, as patients look forward to having easy access to transport and parking availability.19 In addition, it has been witnessed that patients’ time was more efficiently used with reduced travel time allowing for more time for rest when the dialysis service was provided in a calm area.15 Another aspect that affects the satisfaction with the facility is its environment. No doubt that cleanliness, hygiene, and quietness are drivers of a pleasant ambiance that all patients look forward to. In addition to that, a bright and calm environment would positively impact the patient experience.15 It was also found that having a pleasant environment will help dialysis patients to connect with their peers more easily.24 Similarly, ensuring a safe environment is crucial. Patients’ safety must be a top priority to every hemodialysis center, whether in terms of the facility and its equipment or care given by the nurses. It was noticed that nurse discussions with the patient to explain things and address health concerns is a driver of satisfaction with kidney care and it is a way of making the patient feel safe.19 Availability of proper resources at the center plays a major role in ensuring a high-quality service that leads to patients’ satisfaction. Such factors include equipment, technology, and furniture (chairs, beds, coaches, etc.) found at the different departments and patient rooms in a healthcare center. Consequently, this impacts the physical comfort of patients. A study in Japan demonstrated that some characteristics of dialysis therapy such as the dialysis equipment affects the satisfaction of patients, as that they must visit the facility thrice a week.4 This concludes why the physical environment of the facility and equipment used are much more important for dialysis patients than other types of patients. Another study on adult dialysis patients showed that patients emphasized more comfortable chairs at the dialysis facility would improve their treatment experience, in addition to having better cable television channels for better entertainment.24

Treatment

A primary factor that affects dialysis patients is the treatment process they go through. Although balancing patient preferences and clinical quality can be complex process, existing studies illustrate some themes related to correlates of patient satisfaction. First, patients’ ability to receive treatment at any time and different sites is rising in demand, although this is highly dependent on the mode of treatment. For instance, it has been demonstrated that peritoneal patients are more likely to show a positive response than hemodialysis patients as they can do the treatment at home or while sleeping.26 Another treatment-related aspect is the frequency of treatment, as well as the duration per treatment session. Patients prefer to have fewer treatment sessions, especially when they are in the center, as this would directly lower their transportation costs. In addition, patients who might feel drained or ill after the treatment in every session are more likely to be less adherent and motivated.24 As for the duration, hemodialysis patients are less satisfied with how long the procedure is than peritoneal patients.26 Yet, it is worth mentioning that patients prefer to have shorter treatment duration, but not without a physician’s approval and prescription. However, a cross-sectional study, showcased that lower global ratings of nephrologists and dialysis facilities were reported when hemodialysis treatments were at least 15 min shorter than prescribed.17

Patients’ Characteristics

Older age was consistently related with higher global ratings for nephrologists, dialysis personnel, and dialysis facilities, but with a lower Providing Information to Patients (PIP) composite score.17 Another study found that most respondent attributes, except for age and depressive symptoms, had no effect on the overall impressions of care. For instance, older patients were less critical of their hemodialysis care,25 while patients with depressive symptoms were less satisfied.23 Furthermore, patient satisfaction level with the provider technical quality aspects at the dialysis unit was highly influenced by patient’s gender and marital status.20 In another study, overall satisfaction with care independently correlated with the hemodialysis patient age, race, vintage, and history of unattended or shortened sessions of treatment. High satisfaction level was found among older patients who were committed to their treatment schedule.21 An indirect relationship was found between patients satisfaction and their education level.17 It was also discovered that patients who did not adhere to their treatment schedule had much fewer years of education than those who did.24 That negatively influences patient satisfaction.21,28 The low attendance level can be explained by the fact that people who are more educated are more aware of the consequences that may arise from not attending their treatment and the importance of complying with the prescribed therapy and medication.

Conclusion

It is a growing challenge for healthcare centers to provide their patients with a care experience that meets their expectations. HD patients are unique in requiring a complex treatment that takes a long time and requires frequent visits to a care center on a regular basis. Hence, the ability of HD centers to provide the best-in-class service that fulfills patients’ needs must be specified through the proper definition of determinants essential for patients’ satisfaction. To better understand determinants of satisfaction among hemodialysis, we conducted a systematic review in accordance with the PRISMA statement’s recommendations. In this study, we identified determinants driven by providers and patient-related characteristics. Our review showed that staff-patient interaction including information provided, communication skills, behavior, and responsiveness appeared to have a high influence on patient satisfaction. In addition, determinants related to the services provided at HD settings involved patient engagement, administrative procedures, nutrition, childcare, transportation, and onsite dialysis treatment. Likewise, the facility included its location, parking availability, environment, safety, and equipment. As for the treatment process, mode, availability, frequency, and duration are found to impact patient satisfaction. On the other hand, patient-related characteristics comprise patients’ demographics and health status. A limitation of this review is that it failed to cover all the papers specified in the eligibility criteria as the databases were restricted to accessible resources. Moreover, it included papers written in English only, so papers written in other languages could have more contribution to the outcomes of this paper. Moreover, this study did not include all the parameters of PRISMA review in terms of data quality assessment. For instance, risk of bias in individual studies were not included due to the limited observation and availability in the selected studies. Besides, further research in improvement interventions and best practices in hemodialysis settings would be useful for practitioners and decision-makers. In conclusion, the determinants of patient satisfaction in the HD settings are diverse and includes many provider and patient factors, but understanding common determinants can help centers focus on improving satisfaction. HD centers should also study and improve the satisfaction determinants specific to their center as per the voice of their patients. Positive patient satisfaction indicates a good care experience leading to a positive word of mouth, recommendations, and a good reputation of the healthcare setting.
  27 in total

1.  Patient satisfaction with nurse-led chronic kidney disease clinics: A multicentre evaluation.

Authors:  Sonya Coleman; Kathryn Havas; Susanne Ersham; Cassandra Stone; Berndatte Taylor; Anne Graham; Lorraine Bublitz; Louise Purtell; Ann Bonner
Journal:  J Ren Care       Date:  2017-02-03

2.  In-center hemodialysis attendance: patient perceptions of risks, barriers, and recommendations.

Authors:  Kara B Chenitz; Michael Fernando; Judy A Shea
Journal:  Hemodial Int       Date:  2014-01-22       Impact factor: 1.812

3.  Exploring the opinion of hemodialysis patients about their dialysis unit.

Authors:  Ahmed Farouk Donia; Mohamed Ahmed Elhadedy; Hanzada Mohamed El-Maghrabi; Mohamed Hamed Abbas; Mohamed Ashraf Foda
Journal:  Saudi J Kidney Dis Transpl       Date:  2015-01

4.  Patient satisfaction--does it matter?

Authors:  H Vuori
Journal:  Qual Assur Health Care       Date:  1991

5.  The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: explanation and elaboration.

Authors:  Alessandro Liberati; Douglas G Altman; Jennifer Tetzlaff; Cynthia Mulrow; Peter C Gøtzsche; John P A Ioannidis; Mike Clarke; P J Devereaux; Jos Kleijnen; David Moher
Journal:  BMJ       Date:  2009-07-21

Review 6.  Using Patient Experience Survey Data to Improve In-Center Hemodialysis Care: A Practical Review.

Authors:  Taimur Dad; Megan E Grobert; Michelle M Richardson
Journal:  Am J Kidney Dis       Date:  2020-03-19       Impact factor: 8.860

Review 7.  Determinants of patient satisfaction: a systematic review.

Authors:  Enkhjargal Batbaatar; Javkhlanbayar Dorjdagva; Ariunbat Luvsannyam; Matteo Mario Savino; Pietro Amenta
Journal:  Perspect Public Health       Date:  2016-07-20

8.  Exploring drivers of patient satisfaction using a random forest algorithm.

Authors:  Mecit Can Emre Simsekler; Noura Hamed Alhashmi; Elie Azar; Nelson King; Rana Adel Mahmoud Ali Luqman; Abdalla Al Mulla
Journal:  BMC Med Inform Decis Mak       Date:  2021-05-13       Impact factor: 2.796

9.  Patient engagement as a risk factor in personalized health care: a systematic review of the literature on chronic disease.

Authors:  Leigh Ann Simmons; Ruth Q Wolever; Elizabeth M Bechard; Ralph Snyderman
Journal:  Genome Med       Date:  2014-02-26       Impact factor: 11.117

10.  What do patients really want? An in-depth examination of patient experience in four Australian hospitals.

Authors:  F Rapport; P Hibbert; M Baysari; J C Long; R Seah; W Y Zheng; C Jones; K Preece; J Braithwaite
Journal:  BMC Health Serv Res       Date:  2019-01-15       Impact factor: 2.655

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