D serve as an innovative method for optimizing HIV outcomes. The National Council on Patient Information and Education’s report, Enhancing Prescription Medicine Adherence: A National Action Plan, states that medication nonadherence has reached crisis proportions [28]. The report calls for adherence research that explores innovative ways to increase patient uptake of proven therapies. Successful interventions not only need to demonstrate efficacy and effectiveness, but also the capacity for ultimate adoption, implementation and maintenance in real-world settings.Model of the effects of patient satisfactionA second model evaluated the role of 1113-59-3 web overall patient satisfaction in influencing retention in HIV care, adherence to HAART and HIV suppression (Figure 2). The hypothesized model provided a good fit to the data (x2 = 5.11, df = 2, p = 0.08, CFI = 0.98, RMSEA = 0.06). Table 3 shows the parameter estimates from this hypothesized model of patient satisfaction. The composite reliability and average variance extracted tests for overall patient satisfaction exceeded recommended thresholds (values 0.70 and 0.54, respectively), indicating acceptable construct reliability [11?14]. Similar to the baseline model, the direct effects of retention in HIV care and adherence to HAART on HIV suppression were significant (standardized coefficient = 0.215, p,.0001 and stanPatient Satisfaction to Improve HIV AdherenceTable 3. Parameter Estimates.Ba Baseline Model Structural Model Retention in CareRAdherence to HAART Retention in CareRHIV Suppression Adherence to HAARTRHIV Suppression Patient Satisfaction Modelc Measurement Model Patient SatisfactionRFeelings about care Patient SatisfactionRRecommend Clinic Structural Model Patient SatisfactionRRetention in Care .266 (.094) .181 .203 .032 .110 .215 11967625 .280 ,.001 ,.001 .60 .08 ,.001 ,.001 1.000 1.149 .680 .778 NAd ,.001 .147 (.062) .220 (.049) .287 (.061) .147 .220 .287 .02 ,.001 ,.bbpPatient SatisfactionRAdherence to HAART .298 (.115) Patient SatisfactionRHIV Suppression Retention in CareRAdherence to HAART Retention in CareRHIV Suppression Adherence to HAARTRHIV Suppression .047 (.089) .110 (.063) .215 (.050) .280 (.062)B denotes B coefficient; b indicates beta coefficient. Patient Satisfaction properties: composite reliability = 0.70; average variance extracted = 0.54. a Standard errors in parentheses. b Model Goodness of Fit: x2 = 0.00, df = 0, p = 0.00, CFI = 1.00, RMSEA = 0.00. c Model Goodness of Fit: x2 = 5.106, df = 2, p = 0.078, CFI = 0.984, RMSEA = 0.064. d NA indicates not applicable. The MedChemExpress JW-74 indicator loading is constrained to 1.0 for latent 1326631 construct estimation and 
represents the reference item. No direct test of statistical significance is possible for the constrained indicator. doi:10.1371/journal.pone.0054729.tRetention in HIV care is a critical step for achieving long-term survival with HIV infection [29]. Furthermore, HIV primary care guidelines recognize the importance of retention in HIV care as a precursor to adherence to HAART [30]. Successful strategies to improve retention in HIV care and adherence to HAART require an understanding of retention and adherence behavior and the complex interplay between biological, psychological, behavioral, social and health systems drivers. They also require a multi-level, multi-component approach to responding to the needs and concerns of individual patients. Simple practices shown to improve adherence include reductions in dose frequency and the use of adhe.D serve as an innovative method for optimizing HIV outcomes. The National Council on Patient Information and Education’s report, Enhancing Prescription Medicine Adherence: A National Action Plan, states that medication nonadherence has reached crisis proportions [28]. The report calls for adherence research that explores innovative ways to increase patient uptake of proven therapies. Successful interventions not only need to demonstrate efficacy and effectiveness, but also the capacity for ultimate adoption, implementation and maintenance in real-world settings.Model of the effects of patient satisfactionA second model evaluated the role of overall patient satisfaction in influencing retention in HIV care, adherence to HAART and HIV suppression (Figure 2). The hypothesized model provided a good fit to the data (x2 = 5.11, df = 2, p = 0.08, CFI = 0.98, RMSEA = 0.06). Table 3 shows the parameter estimates from this hypothesized model of patient satisfaction. The composite reliability and average variance extracted tests for overall patient satisfaction exceeded recommended thresholds (values 0.70 and 0.54, respectively), indicating acceptable construct reliability [11?14]. Similar to the baseline model, the direct effects of retention in HIV care and adherence to HAART on HIV suppression were significant (standardized coefficient = 0.215, p,.0001 and stanPatient Satisfaction to Improve HIV AdherenceTable 3. Parameter Estimates.Ba Baseline Model Structural Model Retention in CareRAdherence to HAART Retention in CareRHIV Suppression Adherence to HAARTRHIV Suppression Patient Satisfaction Modelc Measurement Model Patient SatisfactionRFeelings about care Patient SatisfactionRRecommend Clinic Structural Model Patient SatisfactionRRetention in Care .266 (.094) .181 .203 .032 .110 .215 11967625 .280 ,.001 ,.001 .60 .08 ,.001 ,.001 1.000 1.149 .680 .778 NAd ,.001 
.147 (.062) .220 (.049) .287 (.061) .147 .220 .287 .02 ,.001 ,.bbpPatient SatisfactionRAdherence to HAART .298 (.115) Patient SatisfactionRHIV Suppression Retention in CareRAdherence to HAART Retention in CareRHIV Suppression Adherence to HAARTRHIV Suppression .047 (.089) .110 (.063) .215 (.050) .280 (.062)B denotes B coefficient; b indicates beta coefficient. Patient Satisfaction properties: composite reliability = 0.70; average variance extracted = 0.54. a Standard errors in parentheses. b Model Goodness of Fit: x2 = 0.00, df = 0, p = 0.00, CFI = 1.00, RMSEA = 0.00. c Model Goodness of Fit: x2 = 5.106, df = 2, p = 0.078, CFI = 0.984, RMSEA = 0.064. d NA indicates not applicable. The indicator loading is constrained to 1.0 for latent 1326631 construct estimation and represents the reference item. No direct test of statistical significance is possible for the constrained indicator. doi:10.1371/journal.pone.0054729.tRetention in HIV care is a critical step for achieving long-term survival with HIV infection [29]. Furthermore, HIV primary care guidelines recognize the importance of retention in HIV care as a precursor to adherence to HAART [30]. Successful strategies to improve retention in HIV care and adherence to HAART require an understanding of retention and adherence behavior and the complex interplay between biological, psychological, behavioral, social and health systems drivers. They also require a multi-level, multi-component approach to responding to the needs and concerns of individual patients. Simple practices shown to improve adherence include reductions in dose frequency and the use of adhe.
