Primary Care Patient Satisfaction Survey 2017

Primary Care Patient Satisfaction Benchmark Report

Welcome to the Second Research Findings of the Bi-Annual GMR Web Team Primary Care Patient Satisfaction Survey 2017 (July-December)

Since the inception of our first patient satisfaction survey report, we have seen some changes in the ways patients review their healthcare visit experience. This survey follows on from our first report, comparing the useful insights on reviews and patient satisfaction. In the first report, we had analyzed data for the first six months of 2017 i.e., January through June 2017. In this second report, we have shown the important trends in online reviews and patient satisfaction for the last six months of 2017 i.e., July through December 2017 by comparing the data with January-June 2017.

This survey measures the LOYALTY of patients for their primary care physicians and helps physicians understand the needs of their patients for developing effective patient related programs to address their pain points. This will help in developing a stronger bond between patients and physicians and the patients will become the advocate of their physicians, resulting in more referrals and fueling growth.

Key Takeaways from 2nd Primary Care Patient Survey:

  • 96% of patients gave positive ratings about their visit to primary care physicians, whereas it was 94% in January-June 2017
  • 3% rated their experience neutral, a decrease of 1% as compared to the previous report
  • Overall, the Net Promoter Score, a measure of patient’s loyalty, for physicians is 85* (Total Sample = 25,288), whereas it was 85.6 in January-June 2017
    • 91% of the patients are Promoters - Loyal enthusiasts who will keep referring other patients, down by 2% when compared to January-June 2017
    • 7% of the patients are Passives - Satisfied but NOT enthusiastic patients who are vulnerable to competitive offerings, whereas it was 9% in the first six months of 2017
    • 2% of the patients are Detractors - Unhappy patients who can damage the reputation of physicians and impede growth through negative word of mouth, which was almost the same in the first half of 2017
  • Sentiment analysis of all patients’ comments about their experience suggested happiness among 82% and trust among 5% of all patients, consistent with their positive ratings.
  • Care, Friendly, and Professional were the dominant words used by patients who rated their experience as positive.

*Net Referral Score (a measure of Patient’s Loyalty) = % of Promoters - % of Detractors. Promoters are defined as % of patients who gave a rating of 9 or 10 to their physicians and Detractors are defined as % of patients who gave a rating between 0 and 6

Why the Primary Care Patient Satisfaction Survey Benchmark Report?

Based on our experience of helping over 250 physicians since the inception of GMR Web Team reputation management software RepuGen in 2016, we have noticed a fairly consistent Net Referral Patient score. However, there is a lack of correlation between Net Referral Score and physicians’ online reviews. This could be because unhappy patients are more likely to vent their frustrations online vs satisfied patients posting a positive experience online.

There are four primary goals of this report:

  • Compare Patient’s Loyalty for the entire Primary Care Physician Category vs. our last survey.
  • Help individual physicians track their Net Promoter Score vs. the entire category, and use the information for segmented marketing campaign to get patient referrals.
  • Identify Patient’s Pain Points, develop patient’s programs to address these pain pains, and track how these initiatives are impacting those pain points.
  • Check online review scores to make sure it’s consistent with the average of the physicians used for this survey.

About the GMR Web Team Primary Care Patient Satisfaction Survey

  • An online survey was conducted from July 2017 through December 2017 among 25,288 patients, belonging to primary care physicians that are using the GMR Web Team service. We then compared the findings with the first six months of 2017 (January through June 2017) to show the actual trends.
  • The patients were asked to select their likelihood of recommending the physician based on their latest experience on a scale of 0 to 10.
  • Patients were asked to explain the reason behind their rating.
  • All the information (rating score and comments) was detached from patient and doctor identification to make the report HIPAA compliant. GMR Web Team cannot backtrack comments or sentiments to link Net Promoter Score or sentiment to any patient or physicians that were used for this report.
  • Patients were then classified into 3 categories – Promoters, Passives, and Detractors
    • Promoters: Patients giving a rating of either 9 or 10 to their physicians were classified as Promoters. They are loyal enthusiasts who will keep referring the physicians to other patients.
    • Passives: Patients giving a rating of 7 or 8 to their physician were classified as Passive. They are satisfied but NOT enthusiastic patients who are vulnerable to competitive offerings.
    • Detractors: Patients giving a rating of 0 to 6 to their physician were classified as Detractors. They are unhappy patients who can damage the reputation of their physician and impede growth through negative word of mouth.
  • All comments were grouped by positive, negative, and neutral ratings.
  • An established 3rd party artificial intelligence tool was used to gauge patient sentiment by group (positive, negative, neutral) and also to gauge the intensity of the sentiment based on their comments about their experience.
  • GMR Web Team proprietary software was used to analyze word density of comments by group for all patients to identify words used by patients to describe their experience.

How Do Patients Rate Their Visit to Primary Care Center Office Based on Their RepuScore?

image-here

*Repuscore is the score given by patient on a scale of 0 to 10 when asked their likelihood of recommending the physician based on their experience of the last visit. 0 means will not recommend and 10 means will recommend.

Key Findings:

  • There was a slight increase of 0.1 in Average RepuScore as compared to the first six months of 2017

Analysis:

Given that the primary care centers in this study were using GMR Web Team tools to address patient complaints, it is not surprising that the likelihood of recommending the physicians has seen a slight increase above the already high levels of the benchmark study. This also validates our view that paying more attention to patients' experience is the key to getting more recommendations from patients.

All Ratings (Rating Breakdown)

image-here

Key Findings:

  • Consistent with the overall data, more patients rated their experience as positive
  • Patients rating their experience neutral and negative dropped slightly compared to the last survey
  • However, these changes are small and are not statistically significant

Analysis:

The increase in positive ratings suggests that the efforts by primary care centers to address their patients’ concerns are paying off. A decrease in neutral and negative ratings shows higher percent of patients rating their experience as positive vs. last time. Primary care centers have to compare their individual scores with the overall numbers to identify areas for improving patients experience when they visit their office.

Net Promoter Score Breakdown

image-here

The Net Promoter Score is an index ranging from -100 to 100 that measures the willingness of customers to recommend a company's products or services to others. It is used as a proxy for gauging the customer's overall satisfaction with a company's product or service and the customer's loyalty to the brand.

Key Findings:

  • Net Promoter Score saw a decrease of 0.6% point when compared with the first six months of 2017
  • Percentage of patients who could become promoters dropped by two percentage point in the latest survey compared to the last one
  • 2% of current patients are unhappy about their experience with their primary care centers, a 0.1% point increase from the last survey

Analysis:

The decrease in Net Promoter Score suggests a drop in patients’ happiness with the services at some primary care locations. Overall, 9% of patients are not happy and could leave their current primary care center in the near future. Primary care centers need to look at their individual scores and compare with the average number to identify areas where they are doing better and areas where they need to improve.

Patient Sentiment Analysis after their visit:

Patients are asked to explain their reason for rating their visit the way that they did. GMR Web Team analyzes sentiments and its intensity based on the comments, using an artificial intelligence tool.

Customer Emotion Breakdown

image-here

Key Findings:

  • Feeling of anticipation increased from 1.77% to 9.65% among the patients
  • 81.80% of patients left their primary care center happy, a drop from 92.30% in January-June 2017
  • 4.64% of patients showed trust which increased by 1.18% when compared to January-June 2017
  • 0.83% of patients are angry with their primary care center which showed a decrease of 0.31% when compared to the first half of 2017

Analysis:

As there is a decrease in the number of happy patients, primary care centers should make sure to evaluate their scores to identify any potential reason for increased dissatisfaction. Centers should also consider bringing up some programs to increase patient engagement and satisfaction. An increase in trust data and a slight decrease in angry data is a positive sign for primary care centers.

Emotional Intensity Analysis (Happy)

image-here

Key Findings:

  • 43.90% of those exhibiting “Happy” emotion showed high intensity, a 0.04 percentage point increase from the last survey
  • 25.10% of patients showed medium intensity which has decreased by 0.44% when compared to January-June 2017
  • The low intensity data remained almost the same, around 31% in January-June 2017 and July-December 2017
  • However, these changes are small and are not statistically significant

Analysis:

Primary care centers need to identify patients who showed high intensity and launch a campaign to convert them to advocates for the center. There is room for improvement of intensity for physicians for solidifying their relationship with patients.

Emotional Intensity Analysis (Trust)

image-here

Key Findings:

  • Intensity of the majority of the patients showing “Trust” emotion was medium which decreased by 3.32% in July-December 2017
  • 31.91% of patients showed high intensity trust emotion, whereas it was 26.70% in January-June 2017
  • 14.59% of patients showed low intensity which decreased by 1.89% when compared to January-June 2017

Analysis:

Since majority of the patients showed medium intensity, physicians should work on establishing trust between them and their patients.

Emotional Intensity Analysis (Anger)

image-here

Key Findings:

  • Similar to trust emotion, intensity of the majority of the patients showing "Anger" was medium which increased by 4.95% in July-December 2017 as compared to January-June 2017
  • 8.33% of patients showed high intensity, a decrease of 7.19% when compared to January-June 2017
  • 35% of patients showed low intensity, whereas it was 32.76% in January-June 2017

Analysis:

Again majority of the patients showed medium intensity suggesting improvement in patient recovery. Primary care centers should handle unhappy patients proactively.

Word Cloud Analysis

Word cloud analysis uses the frequency of words used by patients and picks up the most used words. Size of the word denotes frequency in the chart above.

Positive Ratings -- Top 20

image-here

Key Findings:

  • Caring, Friendly, Always, Knowledgeable, and Listens were the most used words among patients who rated their visit between 9 and 10.
  • Helpful, Professional, Recommend, Excellent and Nice were some other frequently used words.

Analysis:

Frequently used words by satisfied patients should resonate a positive sentiment, and thus could be used to build expectations for new patients, knowing fully well that it will resonate and that the practice will be able to fulfill the promise. An example could be making a bold statement like Listens, Caring, Friendly, Professional – these are the most used words that patients use to describe their visit.

Negative Ratings – Top 20

image-here

Key Findings:

  • Appointment is the most frequently word used by unhappy patients.
  • Concerns, Hours, Listen, Prescribed, Wait, Scheduled and Questions are other negative words used by patients.

Analysis:

Frequently used words by unhappy patients allow the primary care centers to gauge patients’ reasons for dissatisfaction. However, given the fact that the comments of patients were detached, we can assume that appointment, wait time and hours were among the major concerns. These words are more relevant when linked to the patients (which GMR Web Team account holders can do), and also when analyzing the complete review written by the patients.

Why is the Primary Care Patient Satisfaction Benchmark Report So Important?

Online reviews and recommendations from existing patients are the best source of new patients for primary care physicians. In-depth analyses of patient experience helps physicians identify their strengths and weaknesses, giving them the knowledge to make positive organizational changes.

Understanding the patient sentiment and its intensity provides insight into the patients’ mindsets after they leave the office. Physicians can use the information to improve satisfaction and brand their practice consistent with the positive sentiments generated by their service.

Density of words extracted from patient’s Net Promoter Score of different groups will help communicate the desired branding effort better.

Suggested Next Steps:

Primary care physicians and family medicine practices should gather patient experience information to better understand patient sentiment, and ultimately improve patient care and satisfaction.

Patient satisfaction data can also be used to attract more patients by:

  • Improving online reputation by requesting happy patients to share their information on the internet. Over 30% of prospective patients select their doctor solely based on their online reviews.
  • Developing an automated referral program that requests happy patients to recommend their doctor or family medicine practice to others.

Contact us at www.gmrwebteam.com to learn how you can start building your patient satisfaction data and how to use it to generate more patients.